AI/ML Engineering, Self-Healing Infrastructure & Enterprise Automation
Albright Laboratories
Fort Lauderdale, Florida
January 2026
Albright Laboratories, LLC is a Black-owned AI/ML engineering and technology consulting firm headquartered in Fort Lauderdale, Florida. Founded by Corey Malcolm Albright -- a Machine Learning Infrastructure Architect, named inventor on U.S. Patent "Computing Environment Management Using Language Models" (USPTO issued 2026), and veteran of 15+ years at Fortune 500 companies including Disney, Capital One, Cisco, and Ford -- the company specializes in building self-healing, AI-driven systems that predict failures before they happen. The firm's flagship product, BrightFlow, is a production-grade autonomous ML platform spanning 67+ repositories with multi-agent AI orchestration, LoRA/DPO/RLHF model training pipelines, and 71+ reusable MCP servers.
Designation: Small Disadvantaged Business (SDB); 8(a) Business Development application in process Q2 2026.
To deliver enterprise-grade AI infrastructure and self-healing automation that modernizes government and commercial operations -- creating measurable, audit-defensible outcomes through innovation that is structurally protected by issued U.S. intellectual property and validated at Fortune 500 scale.
This business plan is governed by a single load-bearing principle: every dollar of revenue earned now reduces the dollar of capital we have to find later. We do not rely on speculative marketing, speculative hires, or VC-dependent growth assumptions. Every engagement is sized to be cash-flow positive from the first week of execution. We earn an inch, convert the inch into runway, and use the runway to earn the next inch.
Albright Laboratories generates revenue through four diversified channels designed to de-risk against any single-market downturn:
All figures are base case. Stretch case (assuming BrightFlow scales 3-5x faster or federal contracts compound aggressively) lifts every number by ~2-3x.
| Channel | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|
| BrightFlow SaaS | $50K | $400K | $2M | $8M | $20M |
| $397 Diagnostic | $25K | $50K | $75K | $100K | $100K |
| Retainer engagements | $150K | $400K | $800K | $1.5M | $2.5M |
| Fractional CAIO | $50K | $200K | $500K | $1M | $1.5M |
| Federal contracts (post-8(a)) | $0 | $0 | $1M | $3M | $5M |
| Speaking & book royalties | $60K | $250K | $600K | $900K | $1.2M |
| Total Revenue | $335K | $1.3M | $5M | $14.5M | $30M+ |
| Operating Expenses | $249K | $355K | $525K | $1.5M | $5M |
| Net Cash Flow | $86K | $945K | $4.5M | $13M | $25M+ |
Year 1 is profitable on Day 1, not Day 365. This is the threshold for "every inch is less mile."
Albright Laboratories operates as a Limited Liability Company (LLC) registered in the State of Florida. The company maintains professional liability insurance and adheres to industry-standard security practices including HIPAA, PCI-DSS, and SOC 2 compliance frameworks.
The company headquarters is located in Fort Lauderdale, FL 33324. Operations are conducted through a hybrid model combining local infrastructure with geographically distributed cloud resources, enabling 24/7 service availability and disaster recovery capabilities.
Albright Laboratories LLC was registered in Florida in 2020. The company sat dormant during the founder's 14-month homeless year (November 2020 -- January 22, 2022) and began active build-out post-relocation. Key milestones:
Year 1 (2026): Activate Albright Laboratories as a full-time operating company. Submit 8(a) application. Sign 10 paying BrightFlow customers. Launch From Inches to Miles. Acquire second residential property. Generate $335K revenue at $86K positive cash flow.
Years 2-3 (2027-2028): Receive 8(a) certification. Win first $1M federal sole-source contract. Build Fractional CAIO retainer book. Scale to $5M annual revenue. Build real-estate portfolio to 3 properties producing $4K/month net cash flow.
Years 4-5 (2029-2030): Scale to $14.5M-$30M annual revenue across four channels. Build real-estate portfolio to 8 properties producing $15K/month. Begin AI consultancy roll-up acquisitions. Founder net worth crosses $20M-$50M.
10-Year Vision (2036): Base case -- $50M-$200M founder net worth, $300K+/year passive real-estate cash flow, multi-book series, recognized 8(a) graduate. Stretch case -- low-billion territory if BrightFlow scales as enterprise SaaS or federal lane compounds.
| Service | Description | Rate |
|---|---|---|
| ML/AI Infrastructure Architecture | Self-healing systems, anomaly detection, multi-agent AI, inference pipelines, model training (LoRA/DPO/RLHF) | $400/hour |
| Fractional CTO / ML Architect | Strategic AI/ML direction, architecture reviews, team mentoring, vendor evaluation | $450/hour |
| Cloud & Infrastructure Engineering | Kubernetes, Terraform, AWS/GCP/Azure, CI/CD, GPU infrastructure, self-healing automation | $350/hour |
| Platform & Full-Stack Engineering | FastAPI, Next.js, React Native, microservices, event-driven streaming (Kafka/Redis) | $300/hour |
| Security & Compliance | Zero-trust architecture, identity/auth frameworks, HIPAA/PCI/SOC 2/STIGs auditing | $375/hour |
| AI/ML Training & Workshops | Corporate training on LLMs, agents, LoRA fine-tuning, RAG systems, ML operations | $5,000 - $15,000/day |
BrightFlow Financial Dashboard: Real-time market data visualization platform with automated news aggregation, technical indicators, and portfolio tracking. Deployed on Kubernetes with high-availability configuration.
IBKR Trading Systems: Algorithmic trading infrastructure integrated with Interactive Brokers API. Features include automated position management, risk monitoring, AI-powered market analysis, and backtesting capabilities.
Corey-Coder AI Assistant: Self-hosted AI coding assistant powered by local LLM infrastructure (Ollama) with RAG (Retrieval-Augmented Generation) for context-aware code generation and documentation.
Venture Evaluation Platform: Web-based questionnaire and AI-powered analysis system for evaluating startup submissions. Automatically generates custom landing pages and documentation based on venture data.
Albright Studios Video Production Platform: AI-powered video production system that generates broadcast-quality two-person video podcasts from screenplay text and portrait photos. Features a 5-pass quality-gated pipeline (scene generation, voice cloning, talking-head video, multi-camera compositing, automated review), modular architecture with 49+ unit tests, and full TDD governance. Runs entirely on local GPU infrastructure with zero per-video API costs. Supports swappable characters, voices, outfits, and studio environments.
For selected ventures, Albright Laboratories provides:
BrightFlow is the productized expression of the patent — a single multi-agent AI platform built around a 40-agent consensus engine, with 67+ underlying repositories, 71+ MCP servers, and 16+ production ML algorithms. The same underlying platform powers two distinct commercial applications:
| Application | Buyer | What it does | Status |
|---|---|---|---|
| (a) Enterprise AI infrastructure platform (productized SaaS sold externally) |
F500 CTO / VP of Platform Eng / Head of MLOps | Monitors, diagnoses, and remediates computing infrastructure at enterprise scale; multi-agent boardroom adjudicates infrastructure decisions; Big-AL inspects model outputs for hallucination/deception | Pre-revenue; first paid pilot target Q4 2026 |
| (b) Internally-managed hedge fund engine (first-party use; production-grade proof-of-life) |
Albright Laboratories itself | Same 40-agent boardroom adjudicates trade execution with 60% consensus; same Big-AL inspects market-data feeds for manipulation; same ML algorithms run regime detection across 233 years of historical data | In production 24/7 across global market sessions today; described publicly on /products/brightflow/ |
Why this dual-application framing matters: the two applications share one codebase and one infrastructure. The hedge-fund deployment is the technical proof-of-life that answers the F500 question "does this run continuously under production load." The enterprise SaaS application is what the Section 8 revenue projections monetize. The hedge fund is a proprietary capital allocation, not an external revenue line, and its returns are accounted for separately on a balance-sheet basis.
Status: dormant since 2007–2008; capability and installer skillset preserved. Albright Camera Systems was the founder's operating venture documented in the Management section — security cameras, DVR systems, and network configuration for commercial hospitality and small-office customers. The $70,000 in 6 weeks captured there was the proof that the founder can originate, sell, install, and service multi-site commercial physical-security work.
Why this is in the business plan:
The BrightFlow platform's enterprise SaaS application produces, as a byproduct of its 24/7 market-monitoring workload, two consumer-facing content products that operate as top-of-funnel demand generation for the consulting and SaaS channels:
| Product | What it is | Status | Revenue model |
|---|---|---|---|
| APEX Trading Newsletter | Daily pre-market briefing email (9:29 AM ET) with ranked stock picks scored across 6,318 symbols, Rachel's risk warnings, Nostradamus sports predictions, boardroom intelligence | Live and free; first paying-tier launch target Q1 2027 | Free tier (Y1–Y2); premium tier at $39/month or $390/year (Y2+); sponsorship inserts at $5K–$25K per placement |
| BrightFlow TV | Daily AI-hosted market briefings: Morning Brief (8:30 AM ET, Sandra & Nick) and Closing Brief (4:01 PM ET, Damaris & Daxxon); broadcast-grade output from the Albright Studios pipeline | Live and free; YouTube + podcast distribution Q4 2026 | Free tier; branded-content sponsorships at $10K–$50K per episode-series (Y2+); white-label deployment of the Studios pipeline as paid SaaS for other firms |
The global IT consulting market is valued at approximately $700 billion, with the DevOps segment experiencing 20%+ annual growth. The venture capital and startup incubation market continues to expand despite economic headwinds, with particular growth in AI/ML, fintech, and sustainable technology sectors.
Segment 1: Small to Medium Businesses (SMBs)
Segment 2: Early-Stage Startups
Segment 3: Enterprise Clients
| Competitor Type | Strengths | Weaknesses | Our Advantage |
|---|---|---|---|
| Large Consultancies (Accenture, Deloitte) | Brand recognition, global reach | High costs, slow delivery | Agility, direct expert access |
| Startup Incubators (Y Combinator, Techstars) | Funding networks, mentorship | Competitive acceptance, equity demands | Technical infrastructure focus |
| Freelance Platforms (Upwork, Toptal) | Cost flexibility, variety | Quality variance, no infrastructure | Turnkey solutions, proven track record |
Albright Laboratories operates a production-grade Kubernetes cluster demonstrating enterprise-level capabilities:
| Component | Specification | Purpose |
|---|---|---|
| Control Plane | k8-master (v1.31.4) | Cluster orchestration and API server |
| Worker Nodes | 4 nodes (Ubuntu 22.04/24.04) | Application workload distribution |
| GPU Node | AMD X670E + NVIDIA RTX 5090 | AI/ML workloads and model training |
| Container Runtime | containerd 1.7.x | Container lifecycle management |
| Networking | Calico CNI + MetalLB | Pod networking and load balancing |
The cluster currently hosts 30+ namespaces supporting various applications:
The current infrastructure represents an estimated $50,000+ investment in hardware, software, and configuration expertise. This eliminates the need for ventures to build their own DevOps capabilities, saving each portfolio company $100,000+ in first-year operational costs.
Corey Malcolm Albright - Machine Learning Infrastructure Architect & Patent Holder
Mr. Albright is a named inventor on Disney patent "Computing Environment Management Using Language Models" and brings over 15 years of enterprise technology experience at Disney, Capital One, Cisco, Ford, and the U.S. Department of State. He builds self-healing, AI-driven systems that predict failures before they happen. His expertise spans:
Albright Laboratories is not a one-person company. The principals below each own a defined operational surface so the company does not collapse to a single point of failure on the founder.
| Principal | Operational responsibility |
|---|---|
| Corey Malcolm Albright Founder, Managing Member |
CEO; technical architecture; patent IP; federal capture lead; book/speaking brand |
| Marcus Albright Principal |
Head of Albright Loans (licensed loan officer, NMLS #1503465, through Loan Factory NMLS #320841); 30 years of consumer-lending experience; ~1,000+ families served |
| Sandra Quel Principal |
Market & narrative lead — co-host of BrightFlow TV Morning Brief (8:30 AM ET); responsible for the daily pre-market narrative product surface |
| Nick Albright Principal |
Operations and execution — co-host of BrightFlow TV Morning Brief; operational counterpart to Sandra on the daily-content engine |
| Damaris Tercero Principal |
Compliance and client-facing operations — co-host of BrightFlow TV Closing Brief (4:01 PM ET); responsible for the after-the-bell recap product surface |
| Jocelyn Moore Principal |
Director of Delivery — services delivery + customer-success ownership for BrightFlow pilots, the $397 Diagnostic, retainers, and Fractional CAIO engagements |
| Kevin Albright Principal |
Director of Operations — back-office, finance, HR, vendor management, SAM.gov filing administrative work |
| John Roland Principal |
Federal Capture Lead — owns 8(a) proposal authorship, SAM.gov registration upkeep, GSA Schedule submission, sub-contractor outreach to 8(a)-mentor primes |
The founder has direct customer-engagement history across federal civilian, federal defense, federal independent, and Fortune 500 commercial buyers, billed at then-current market rates. The 8(a) application narrative leverages this individual history as the basis on which entity-level past performance will accrete starting Q4 2026.
| Customer | Sector | Then-current rate | Engagement nature |
|---|---|---|---|
| U.S. Department of Commerce | Federal civilian | $175/hr | Systems / consulting |
| U.S. Department of Defense | Federal DoD | $125/hr | Systems / consulting |
| Walt Disney Company | Commercial — Fortune 50 | $75/hr (W-2 equivalent) | Enterprise Technology; presented multi-agent AI to 40+ engineers; named inventor on issued U.S. patent |
| U.S. Federal Reserve | Federal independent | $70/hr | Systems / consulting |
| Cisco Systems | Commercial — Fortune 100 | $65/hr | Network / systems |
| Ford Motor Company | Commercial — Fortune 50 | $65/hr | Systems / consulting |
| National Guard Bureau | Federal military | $55/hr | Systems / consulting |
| Federal Aviation Administration (FAA) | Federal civilian | $50/hr | Systems / consulting |
| Dichroma | Commercial | $50/hr | Systems / consulting |
| Lightspeed | Commercial | $50/hr | Systems / consulting |
| Modus | Commercial consultancy | $48/hr | Systems / consulting |
Beyond billable-hour customer history, the founder has documented operating-company experience — proof of originating, selling, and delivering multi-location commercial contracts end-to-end.
| Venture | Period | Documented revenue evidence | What it proves |
|---|---|---|---|
| Albright Camera Systems (commercial security / surveillance install) |
2007 | $70,000 in 6 weeks from a single multi-location hospitality customer (regional bar chain — all locations plus corporate offices); chronicled in From Inches to Miles Vol. 1, Chapter 3 | Founder personally identified the customer, pitched cold, closed the contract, sourced and installed the hardware, and delivered the network configuration across all locations. Origination-to-delivery ownership of a multi-location commercial deal. |
| Halfaway Services, LLC (federal sub-contract vehicle) |
2014–2016 | Sub-contract revenue under U.S. Department of State engagements; passport/visa pipeline automation; 30-minute disaster recovery procedures | Operated as a federal sub-contractor through this LLC vehicle; demonstrates the same commercial-vehicle structure Albright Laboratories is now scaling. |
| Founder independent consulting (multi-client parallel sub-contracts) |
2002–2014 (intermittent) | Multiple parallel sub-contract engagements at doubled effective hourly rate | Founder discovered, formalized, and scaled the "same skill, sold differently, pays differently" model — the model BrightFlow productizes for AI infrastructure today. |
A Fortune 500 due-diligence committee correctly labels founder-only companies as catastrophic single-point-of-failure risk. The eight-principal map above converts that risk from "ignored" to "actively managed." The insurance and continuity instruments below close the rest of the gap.
| Instrument | Amount | Purpose |
|---|---|---|
| Key-person life insurance on the founder | $5M | Liquidity for the LLC to recruit replacement leadership and continue customer obligations in event of founder incapacity |
| Key-person life insurance on Marcus Albright (Albright Loans) | $2M | Continuity for the lending operation, which is regulated and licensee-tied (NMLS) |
| Disability insurance (own-occupation) on Corey, Marcus | 60% of compensation | Income continuity during temporary incapacity |
| Errors & omissions (E&O) | $2M | Standard professional-services coverage; gating artifact for enterprise procurement |
| Cyber liability | $1M | Standard coverage for SaaS deployments; required for SOC 2 Type I |
| Mortgage-broker E&O on Marcus | per Loan Factory minimums | Required by lender-sponsor agreement |
| Business continuity plan (BCP) | Documented | Successor designation per surface, password/access escrow with attorney of record, customer-notification protocol |
Revenue-gated FTE expansion: the principal team carries the company through Year 1 with founders-as-operators. The first salaried FTE (Platform Engineer #2) is gated on $25K MRR sustained 3 months (target Q2 2027). No FTE is hired before that FTE's first 6 months of fully-loaded cost is in the LLC bank account.
Digital Presence:
Network Referrals:
Venture Pipeline:
| Stage | Consulting | Venture Development |
|---|---|---|
| Lead Generation | LinkedIn outreach, referrals | Website questionnaire |
| Qualification | Discovery call (30 min) | AI-powered submission review |
| Proposal | Statement of Work + estimate | Infrastructure allocation plan |
| Closing | Contract signature, retainer | Equity agreement, onboarding |
| Delivery | Hourly billing, milestones | Ongoing support, mentorship |
Consulting rates are positioned at the premium tier ($300-$450/hour), justified by a Disney patent in AI infrastructure management, production LoRA/DPO/RLHF training expertise, 15+ years of Fortune 500 experience, and a proven portfolio of 67+ production repositories. This positions Albright Laboratories not as a general IT consultant but as a specialized Machine Learning Infrastructure Architect -- a rare combination of ML depth and production infrastructure experience that commands premium rates. Venture partnerships are structured as equity-for-services arrangements, typically 5-15% ownership in exchange for infrastructure and support valued at $100,000-$300,000.
| Revenue Stream | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| ML/AI Consulting & Fractional CTO | $400,000 | $700,000 | $1,200,000 |
| Government Contracts (8(a) / Set-Asides) | $50,000 | $350,000 | $1,000,000 |
| Managed AI/ML Infrastructure (Retainers) | $100,000 | $250,000 | $500,000 |
| Product Licensing (BrightFlow, MCP Servers, VSKC) | $50,000 | $100,000 | $300,000 |
| AI Training & Workshops | $50,000 | $100,000 | $200,000 |
| Total Revenue | $650,000 | $1,500,000 | $3,200,000 |
| Expense Category | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Infrastructure (GPU, power, internet, hosting) | $24,000 | $48,000 | $80,000 |
| Software, APIs & Subscriptions | $15,000 | $30,000 | $60,000 |
| Professional Services (legal, accounting, IP) | $25,000 | $40,000 | $60,000 |
| Marketing & Business Development | $20,000 | $50,000 | $100,000 |
| Insurance & Compliance | $12,000 | $20,000 | $30,000 |
| Hardware Refresh & GPU Expansion | $25,000 | $60,000 | $120,000 |
| Contract Labor / Subcontractors | $30,000 | $100,000 | $300,000 |
| Owner's Draw / Salary | $120,000 | $180,000 | $250,000 |
| Total Expenses | $271,000 | $528,000 | $1,000,000 |
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Gross Revenue | $650,000 | $1,500,000 | $3,200,000 |
| Operating Expenses | ($271,000) | ($528,000) | ($1,000,000) |
| Net Profit | $379,000 | $972,000 | $2,200,000 |
| Profit Margin | 58% | 65% | 69% |
With fixed monthly costs of approximately $22,500 (including $10,000 owner's salary to cover household obligations) and an average consulting rate of $375/hour, the company reaches break-even at approximately 60 billable hours per month (less than 8 days/month). The 3-day work week model provides ~96 billable hours/month, generating $35,600-$45,600 in revenue -- nearly 2x break-even. This margin provides substantial buffer for business reinvestment, savings, and team growth while ensuring the founder's household obligations ($8,500/month) are never at risk.
Fixed-price products (the $397 Diagnostic, retainers, Fractional CAIO) cover most engagements, but federal SOWs and some enterprise consulting work bill hourly under T&M or Labor-Hour terms. This rate card is calibrated against the founder's historical billable rates with a documented ~2.0× burden multiplier (G&A 15–20%, fringe 25–30%, facilities/tools 8%, profit 10–12%) — below the 2.5–3.0× large-prime band, defensible against a federal cost-realism review.
| Labor category | Rate (USD/hr) | Historical anchor | Who fills the role |
|---|---|---|---|
| Associate Engineer | $95 | $48/hr (Modus) × 2.0 | Future FTE hires (Q2 2027+ per FTE-expansion triggers) |
| Senior Engineer | $130 | $65/hr (Cisco, Ford) × 2.0 | Future FTE hires |
| Federal Civilian SOW labor | $150 | $50–75/hr (FAA, Disney) × ~2.0 | Principals on federal civilian engagements |
| Federal DoD SOW labor | $250 | $125/hr (DoD) × 2.0 | Principals on DoD / NGB engagements |
| Federal SES-level advisory | $350 | $175/hr (Department of Commerce) × 2.0 | Senior principal advisory; Corey, Marcus, or John |
| Principal — domain expert | $300 | Founder/Marcus current advisory rate | Marcus (lending), Jocelyn (delivery), John (federal capture) |
| Subject Matter Expert — patent holder | $500 | Patent-IP premium (Westlaw 2024 industry rate survey: $450–750) | Corey Albright only |
| Public-facing principal (BrightFlow TV product hosting) | $200 | Talent + voice-clone IP composite | Sandra, Nick, Damaris when consumed as advisory deliverables |
| Security / surveillance system installation (multi-site rollout) | $150 labor + materials at cost +18% | Documented 2007 Albright Camera Systems engagement ($70K in 6 weeks) | Reserved for re-activation engagements; founder + qualified installer |
| Media production / video (broadcast-grade output via Albright Studios pipeline) | $2,500/finished-minute; $185/hr for live-anchor talent | Albright Studios live SaaS pricing | Albright Studios + BrightFlow TV pipeline; Sandra/Nick/Damaris on talent |
Volume discounts: 8% off prepaid 100-hour blocks; 12% off prepaid 500-hour blocks. Annual rate review: the Q3 2026 version is the floor; increases follow 90-day notice and (if applicable) GSA Schedule modification.
Pre-revenue disclosure. Albright Laboratories is pre-revenue at the time of this writing (Q2 2026). The numbers below are modeled assumptions; they are replaced with measured pilot data as the Section 8 milestones below land.
| Metric | Assumption | Basis |
|---|---|---|
| CAC (Customer Acquisition Cost — what we spend to land one paying customer) | $1,200 per enterprise pilot | Organic-only funnel (LinkedIn + speaking + podcast + $397 Diagnostic as entry); no paid acquisition in Year 1 |
| Diagnostic → Pilot conversion rate | 15% | Conservative SaaS benchmark for low-commitment diagnostic-to-paid (Bain & Co. 2023, range 10–22%) |
| ACV (Annual Contract Value) | $36K/year ($3K MRR × 12, midpoint) | Anchored on the $2K–$10K pilot pricing band |
| Gross margin | 78% | Self-hosted on owned GPU compute; cloud costs are marginal. F500 SaaS benchmark ≈75–85% |
| Gross churn | 10% annual | Industry-typical for sub-$10K MRR enterprise tools (OpenView 2024) |
| LTV (Lifetime Value) | $281K | $36K ACV × 78% margin / 10% churn. LTV:CAC = 234× (industry "healthy" threshold is 3×; the headline number reflects $0 paid-acquisition spend, not a forecast that will hold once paid channels are added in Year 2) |
| Payback period | <2 months | $1,200 CAC / ($3K × 78%) = 0.5 months |
What replaces each assumption with measured data: CAC → measured after first 3 pilots close (Q4 2026); conversion rate → measured after first 20 $397 Diagnostics sold (Q3 2026); churn → measured after first pilot cohort completes 12 months (Q4 2027); gross margin → measured after 6 months of production cost data (Q1 2027).
Pre-revenue disclosure. As of Q2 2026, Albright Laboratories has no signed customer contracts, no Letters of Intent (LOIs), and no first-dollar revenue. This section exists so the gap between projection and evidence is visible, dated, and tracked — not hidden.
Current pipeline state (Q2 2026):
| Channel | Named accounts | Status | Weighted pipeline value |
|---|---|---|---|
| BrightFlow enterprise pilots | 0 | Founder personal-network outreach beginning Q3 2026 | $0 |
| $397 AI Infrastructure Diagnostic | 0 | Productized landing page + checkout planned Q3 2026 | $0 |
| Consulting retainer | 0 | Pursued via referral after first diagnostic delivery | $0 |
| Federal sub-contractor positions | 0 | Outreach to 8(a)-mentor primes begins Q4 2026 | $0 |
Pipeline milestones and the artifacts that prove them:
| Milestone | Target date | Public artifact that closes it |
|---|---|---|
| First $397 Diagnostic sold to an outside party | Q3 2026 | Stripe receipt; anonymized engagement summary published |
| First BrightFlow pilot LOI signed | Q3 2026 | LOI countersigned; pipeline table updates from "0" to "1 (named or anonymized)" |
| First paid BrightFlow pilot (revenue recognized) | Q4 2026 | Invoice issued + paid; first case-study draft begins |
| First named case study with customer logo | Q2 2027 | Customer permission letter on file; published at /case-studies/ |
| First federal sub-contractor position awarded | Q1 2027 | Sub-contract executed; entity-level past performance begins accruing |
| First 8(a) sole-source contract awarded | 2028 (gated on 8(a) certification Q3 2027) | Contract award notice on SAM.gov |
| 10 paying BrightFlow pilots (Year 1 target) | Q4 2027 | Quarterly pipeline update on /investors/ |
Public commitment: the quarterly pipeline update is published to albrightlab.com/investors/ on the first business day of January, April, July, and October. The first non-zero update is targeted for October 1, 2026.
Albright Laboratories has been self-funded through consulting revenue, personal investment, and concurrent W-2 employment at a Fortune 500 company. The company currently operates debt-free with production infrastructure already deployed (Kubernetes cluster, GPU nodes, 67+ repositories, 71+ MCP servers). The founder's transition plan is designed to de-risk the business by maintaining income stability while scaling consulting and government revenue streams.
To accelerate the founder's transition from full-time W-2 employment to full-time business operation, and to expand capacity for government contracts and enterprise consulting, Albright Laboratories seeks a business line of credit or term loan of $250,000 with the following allocation:
| Use of Funds | Amount | Purpose |
|---|---|---|
| Founder Runway (6-month transition) | $60,000 | Replace W-2 income during transition to full-time business operations, covering mortgage, transportation, utilities, and household obligations ($10,000/month) |
| Infrastructure Expansion | $50,000 | Additional GPU nodes (NVIDIA A100/H100 for enterprise workloads), storage expansion, high-availability networking, and redundant power |
| Contract Labor & Subcontractors | $50,000 | Marketing specialist, business development associate, and contract engineers to handle overflow consulting work while founder focuses on architecture and sales |
| Working Capital | $40,000 | Bridge Net 30/60 government payment cycles, client onboarding costs, and operational float |
| Marketing, Sales & Conferences | $25,000 | Conference attendance (AWS re:Invent, KubeCon, NeurIPS), LinkedIn/content marketing, proposal development for government RFPs |
| Legal, Compliance & IP Protection | $15,000 | 8(a) certification support, government contract compliance, venture partnership agreements, patent strategy |
| Insurance & Bonding | $10,000 | Professional liability (E&O), cyber liability, and surety bonding for government contracts |
| Total | $250,000 |
The funding includes a deliberate 6-month transition period designed to eliminate risk:
| Phase | Timeline | Income Source | Business Activity |
|---|---|---|---|
| Phase 0: Foundation | Months 1-2 | W-2 salary (full-time) + 10 hrs/month consulting ($4,000) | Land first consulting client, begin 8(a) application |
| Phase 1: Side Revenue | Months 3-6 | W-2 salary + $8,000-$15,000/month consulting & workshops | Build to 3 concurrent clients, launch monthly AI workshops ($5K-$10K/day) |
| Phase 2: Transition | Months 6-9 | Reduced W-2 (3 days/week) or full exit + $20K+/month business revenue | First government contract, managed infrastructure retainers |
| Phase 3: Full Operation | Month 9+ | $40K-$55K/month business revenue | 3-day billable / 2-day planning work week |
The business is designed to operate profitably on a 3-day billable work week, with 2 days reserved for planning, pipeline development, and product innovation:
| Day | Focus | Revenue |
|---|---|---|
| Monday | Client consulting (8 hrs at $400/hr) | $3,200 |
| Tuesday | Planning, proposals, networking, pipeline | $0 (investment) |
| Wednesday | Client consulting (8 hrs at $400/hr) | $3,200 |
| Thursday | BrightFlow development, content marketing, product | $0 (investment) |
| Friday | AI workshop OR government contract work | $2,500 - $5,000 |
| Weekly Total | 24 billable hours / 3 days | $8,900 - $11,400 |
| Monthly Total | ~96 billable hours | $35,600 - $45,600 |
Monthly household obligations total approximately $8,500. The 3-day model generates 4-5x this amount, providing substantial margin for business reinvestment, savings, and team growth.
Based on projected Year 1 net profit of $450,000, the company can comfortably service a $250,000 loan. At 8% interest over 5 years, monthly payments of approximately $5,070 represent less than 15% of projected monthly revenue. Preferred terms: 5-year term, monthly payments, with option for early payoff without penalty.
Albright Laboratories is pursuing certification under the SBA's 8(a) Business Development Program. This nine-year program provides access to sole-source federal contracts, business development assistance, and mentorship opportunities that will accelerate our growth in the federal marketplace.
| Agency | Target Services | Contract Vehicles |
|---|---|---|
| Department of Defense (DoD) | AI/ML Infrastructure, Self-Healing Automation, Anomaly Detection, Cybersecurity | 8(a) STARS III, OASIS SB |
| Department of State (DoS) | ML-Driven Platform Engineering, Predictive Analytics, Infrastructure Automation | 8(a) Sole Source, BPAs |
| Department of Homeland Security | AI-Powered Infrastructure Modernization, Threat Detection, Event Correlation | EAGLE II, FirstSource III |
| General Services Administration | AI/ML Professional Services, Cloud Architecture, GPU Infrastructure | IT Schedule 70, Alliant 2 SB |
| Veterans Affairs | Healthcare AI, Predictive Analytics, NLP, Data Pipeline Modernization | T4NG, 8(a) Set-Asides |
| Intelligence Community | Multi-Agent AI, Knowledge Graphs, Real-Time Inference, Zero-Trust Architecture | 8(a) Sole Source, BPAs |
| NAICS Code | Description | Size Standard |
|---|---|---|
| 541511 | Custom Computer Programming Services | $34 million |
| 541512 | Computer Systems Design Services | $34 million |
| 541519 | Other Computer Related Services | $34 million |
| 518210 | Data Processing & Hosting Services | $40 million |
| 541611 | Management Consulting Services | $24.5 million |
| 541715 | R&D in Physical & Engineering Sciences | 1,000 employees |
While building our direct federal contracting portfolio, Albright Laboratories principal has extensive experience supporting federal missions through Fortune 500 prime contractors:
| Revenue Stream | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| 8(a) Sole Source | $0 | $150,000 | $500,000 |
| 8(a) Set-Asides | $0 | $100,000 | $300,000 |
| Subcontracting to Primes | $50,000 | $100,000 | $200,000 |
| Total Federal Revenue | $50,000 | $350,000 | $1,000,000 |
As of Q2 2026, the federal pillar of this plan describes intent, not bidding capacity. The items below are the specific registrations, codes, and pursuits required to convert intent into the ability to sign federal paper. Each has a dated milestone and a measurable artifact.
Required federal registrations and codes:
| Artifact | Status | Target | Why it matters |
|---|---|---|---|
| SAM.gov registration + UEI (Unique Entity ID) | To file Q3 2026 | Active by 2026-09-30 | Mandatory before any federal contracting; the UEI is the primary identifier across all federal procurement systems |
| CAGE Code | Assigned automatically on SAM.gov approval | Active by 2026-10-31 | Required for any DoD contracting and most civilian agency awards |
| Primary NAICS | 541512 Computer Systems Design Services | Declared at SAM.gov registration | Determines small-business size standard ($34M average annual receipts threshold) |
| Secondary NAICS | 541519, 541611, 518210 | Declared at SAM.gov registration | Expands set-aside eligibility across AI / data / cloud lines |
| 8(a) Business Development application | In process (filed Q2 2026) | Certification by Q3 2027 (12–18 month typical processing) | Unlocks sole-source contracts up to $7M (services) / $4.5M (products) |
| SDB self-certification | Active | Maintained | Black-owned Small Disadvantaged Business — immediately usable for SDB set-asides |
| SOC 2 Type I report | Not started | Q3 2027 | Required gating artifact for federal CUI-handling and enterprise procurement above $50K ACV |
Target federal contract vehicles (in pursuit order):
Target federal agencies (in pursuit order, based on founder past-performance fit):
| Agency | Rationale | First contact target |
|---|---|---|
| U.S. Department of State (DoS) | Founder has direct past performance via Halfaway Services 2014–2016 (passport/visa pipeline automation, 30-min DR) | Q4 2026 |
| NAVAIR | Founder has direct past performance | Q4 2026 |
| FAA | Founder has direct past performance | Q4 2026 |
| U.S. Department of Veterans Affairs (VA) | Largest civilian IT spender; large 8(a) set-aside throughput; AI/MLops modernization is a 2025–2028 strategic priority | Q1 2027 |
| Defense Information Systems Agency (DISA) | DoD enterprise IT; multi-agent AI for infrastructure remediation is a stated FY26 RFI area | Q1 2027 |
| U.S. Patent and Trademark Office (USPTO) | Founder is named inventor on an issued USPTO patent — credential alignment for AI tooling pitches | Q2 2027 |
Past-performance gap (honest disclosure): Albright Laboratories LLC has no entity-level federal past performance as of Q2 2026 — the founder's past performance is held by prior employers and subcontractors. The 8(a) application narrative leverages the founder's verifiable individual past performance under the standard "manage the past performance gap as an 8(a) candidate" template. Until the first federal award lands, sub-contractor positions on prime contracts are the primary path to building entity-level past performance.
Albright Laboratories offers the following services to businesses of all sizes:
| Service | Description | Ideal For |
|---|---|---|
| ML/AI Infrastructure Architecture | Self-healing systems, anomaly detection, multi-agent AI, inference pipelines, LoRA/DPO/RLHF training | Enterprises seeking AI-driven operational intelligence |
| Fractional CTO / ML Architect | Strategic AI direction, architecture reviews, team mentoring, vendor evaluation | Companies building AI/ML capabilities |
| Self-Healing Infrastructure | Kubernetes, automated remediation, chaos engineering, digital twins, VSKC deployment | Organizations seeking zero-downtime operations |
| Cloud & DevOps Engineering | AWS/GCP/Azure, Terraform, CI/CD, GPU infrastructure, Kafka/Redpanda streaming | Companies modernizing infrastructure |
| Full-Stack Platform Engineering | FastAPI, Next.js, React Native, microservices, event-driven architecture | Teams building production applications |
| Security & Zero-Trust Architecture | JIT bastion, identity/auth, Cloudflare Tunnels, HIPAA/PCI/SOC 2/STIGs compliance | Regulated industries (finance, healthcare, government) |
| AI/ML Corporate Training | LLMs, agentic AI, LoRA fine-tuning, RAG systems, ML operations workshops | Engineering teams upskilling in AI/ML |
Albright Laboratories
Fort Lauderdale, FL 33324
Phone: (202) 642-6739
Office: (747) 200-9819
Email: corey@albrightlab.com
LinkedIn: linkedin.com/in/coreyMalbrightSenior
Website: albrightlab.com
Projection disclosure. Every number in this section is a projection, not a measured result. Albright Laboratories is pre-revenue at the time of this writing (Q2 2026). These figures show what the operating model produces under explicitly named assumption sets, with each assumption replaced by measured data on the cadence documented in Section 8 (BrightFlow Unit Economics).
All figures in thousands of USD ($K). Y1 = 2026 H2 (partial, Q3–Q4 only); Y2 = 2027 first full year; Y5 = 2030.
| Line item | Y1 (2026 H2) | Y2 (2027) | Y3 (2028) | Y4 (2029) | Y5 (2030) |
|---|---|---|---|---|---|
| Revenue — by channel | |||||
| BrightFlow SaaS (pilot → ARR conversion) | 50 | 400 | 2,000 | 8,000 | 20,000 |
| $397 Diagnostic (20 / 125 / 190 / 250 / 250 units) | 8 | 50 | 75 | 100 | 100 |
| Consulting retainers ($5K–$25K/mo) | 150 | 400 | 800 | 1,500 | 2,500 |
| Fractional CAIO ($15K–$50K/mo) | 50 | 200 | 500 | 1,000 | 1,500 |
| Federal contracts (post-8(a) cert) | 0 | 0 | 1,000 | 3,000 | 5,000 |
| Speaking & book (royalties + booked hrs) | 60 | 250 | 600 | 900 | 1,200 |
| BrightFlow Media (newsletter + TV sponsorships) | 0 | 50 | 200 | 500 | 1,000 |
| Albright Loans (commission-share via Marcus) | 25 | 75 | 150 | 250 | 350 |
| Total revenue | 343 | 1,425 | 5,325 | 15,250 | 31,650 |
| COGS | |||||
| Compute & cloud | 10 | 25 | 75 | 250 | 600 |
| Direct delivery labor (principals on billable engagements) | 35 | 180 | 700 | 1,800 | 3,500 |
| Licensing / vendor pass-through | 5 | 20 | 60 | 200 | 500 |
| Total COGS | 50 | 225 | 835 | 2,250 | 4,600 |
| Gross profit | 293 | 1,200 | 4,490 | 13,000 | 27,050 |
| Gross margin % | 85% | 84% | 84% | 85% | 85% |
| Operating expenses | |||||
| Founder + principal compensation | 100 | 350 | 700 | 1,200 | 1,800 |
| Legal & accounting | 10 | 25 | 50 | 100 | 175 |
| Insurance (E&O, GL, cyber, key-person × 2) | 5 | 20 | 35 | 60 | 90 |
| 8(a) certification & federal registration upkeep | 5 | 5 | 10 | 15 | 25 |
| Book / publicist / speaker bureau retainer | 15 | 40 | 60 | 75 | 100 |
| Marketing (paid, Y2+) | 0 | 30 | 75 | 150 | 250 |
| Software & tools | 5 | 15 | 30 | 75 | 150 |
| FTE expansion (per Section 6 triggers) | 0 | 50 | 250 | 750 | 1,500 |
| SOC 2 audit + compliance | 0 | 20 | 40 | 60 | 80 |
| Real-estate down-payment line | 20 | 40 | 60 | 80 | 100 |
| Total opex | 160 | 595 | 1,310 | 2,565 | 4,270 |
| EBITDA | 133 | 605 | 3,180 | 10,435 | 22,780 |
| EBITDA margin % | 39% | 42% | 60% | 68% | 72% |
| Tax provision (24% on EBITDA × 0.8) | 26 | 116 | 611 | 2,004 | 4,374 |
| Net income | 107 | 489 | 2,569 | 8,431 | 18,406 |
| Cumulative net income | 107 | 596 | 3,165 | 11,596 | 30,002 |
50% of pilot-conversion target hits; 8(a) certification delayed one year. Bootstrap discipline keeps fixed costs below the revenue floor — every year remains cash-flow positive.
| Y1 | Y2 | Y3 | Y4 | Y5 | |
|---|---|---|---|---|---|
| Total revenue | 200 | 700 | 2,400 | 6,500 | 13,000 |
| EBITDA | 55 | 200 | 1,000 | 3,500 | 7,800 |
| Net income | 40 | 150 | 750 | 2,600 | 5,800 |
| Cumulative net income | 40 | 190 | 940 | 3,540 | 9,340 |
BrightFlow scales 2.5× faster; federal lane compounds; Y3 mentor-protégé sole-source lands. We do not plan against the upside — we position for it.
| Y1 | Y2 | Y3 | Y4 | Y5 | |
|---|---|---|---|---|---|
| Total revenue | 500 | 2,500 | 11,000 | 35,000 | 80,000 |
| EBITDA | 225 | 1,200 | 7,500 | 27,000 | 65,000 |
| Net income | 170 | 910 | 5,700 | 21,000 | 50,000 |
| Cumulative net income | 170 | 1,080 | 6,780 | 27,780 | 77,780 |
| Cash flow line | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|
| Operating activities | |||||
| Net income | 107 | 489 | 2,569 | 8,431 | 18,406 |
| Depreciation (GPU compute, 3-yr schedule) | 5 | 15 | 35 | 90 | 200 |
| Working-capital change (A/R + deferred rev) | (15) | (75) | (250) | (700) | (1,400) |
| Net cash from operations | 97 | 429 | 2,354 | 7,821 | 17,206 |
| Investing activities | |||||
| GPU / compute capex | (5) | (20) | (60) | (200) | (500) |
| Capability investments | 0 | 0 | (25) | (50) | (75) |
| Net cash from investing | (5) | (20) | (85) | (250) | (575) |
| Financing activities | |||||
| Founder capital contribution (W-2 bridge during Y1) | 50 | 0 | 0 | 0 | 0 |
| Real-estate down-payment draw | (20) | (40) | (60) | (80) | (100) |
| Net cash from financing | 30 | (40) | (60) | (80) | (100) |
| Net change in cash | 122 | 369 | 2,209 | 7,491 | 16,531 |
| Cash balance (cumulative) | 122 | 491 | 2,700 | 10,191 | 26,722 |
| Balance sheet ($K) | Y1 EOY | Y2 EOY | Y3 EOY | Y4 EOY | Y5 EOY |
|---|---|---|---|---|---|
| Assets | |||||
| Cash & equivalents | 122 | 491 | 2,700 | 10,191 | 26,722 |
| Accounts receivable | 28 | 120 | 450 | 1,275 | 2,640 |
| Compute / GPU equipment (net) | 30 | 35 | 60 | 170 | 470 |
| Total assets | 180 | 646 | 3,210 | 11,636 | 29,832 |
| Liabilities | |||||
| Accounts payable | 8 | 30 | 100 | 300 | 600 |
| Deferred revenue (prepaid retainers + blocks) | 15 | 75 | 250 | 700 | 1,400 |
| Tax accrual | 13 | 30 | 150 | 500 | 1,100 |
| Total liabilities | 36 | 135 | 500 | 1,500 | 3,100 |
| Equity | |||||
| Founder capital | 50 | 50 | 50 | 50 | 50 |
| Retained earnings | 94 | 461 | 2,660 | 10,086 | 26,682 |
| Total equity | 144 | 511 | 2,710 | 10,136 | 26,732 |
| Metric | Definition | Y1 | Y2 | Y3 | Y4 | Y5 |
|---|---|---|---|---|---|---|
| Magic number | Net new ARR / S&M spend (>1.0 = scalable acquisition) | n/a | 2.4 | 2.7 | 2.9 | 3.1 |
| Rule of 40 | Revenue growth % + EBITDA margin % (≥40 = healthy SaaS) | n/a | 315% | 234% | 154% | 145% |
| Cash conversion | Operating cash flow / EBITDA | 73% | 71% | 74% | 75% | 76% |
| Headcount efficiency | Revenue / FTE (principals + FTEs) | $43K | $158K | $355K | $635K | $1,055K |
| LTV : CAC | Per Section 8 BrightFlow Unit Economics | n/a | 47× | 35× | 28× | 22× |
What happens to Year-3 revenue under each single-variable swing:
| Variable | Base assumption | If 50% miss | If 150% beat |
|---|---|---|---|
| BrightFlow pilot conversion (15%) | 30 paying pilots EOY3 | $1,750 ($1.0M short) | $7,200 ($2.2M over) |
| Federal sub-contract on prime ($1M target) | First award Q1 2028 | $4,325 ($1M short) | $5,825 ($500K over) |
| 8(a) certification timing (target Q3 2027) | 12 months processing | $4,325 ($1M shifted to Y4) | $5,825 ($500K pulled into Y3) |
Combined-stress (all three at 50% miss): Y3 revenue $2,275K; still cash-flow positive at EBITDA margin 30%+.
| Projection line | What replaces it with measured data | Replaced by |
|---|---|---|
| BrightFlow CAC + conversion | First 20 $397 Diagnostics + first 3 pilots | Q4 2026 |
| BrightFlow LTV (churn) | First pilot cohort completes 12 months | Q4 2027 |
| Gross margin | First 6 months production cost data | Q1 2027 |
| Federal contract revenue Y3 | First sub-contractor position awarded | Q1 2027 |
| Fractional CAIO line | First Fractional CAIO retainer signed | Q2 2027 |
| Albright Loans contribution | First quarter of Marcus's commission flow under LLC P&L | Q1 2027 |
| BrightFlow Media line | First newsletter paying tier launched | Q1 2027 |
Each quarter the Section 8 pipeline update on albrightlab.com/investors/ reconciles realized revenue against the projection lines above. The 5-year projection is restated annually using realized Year-1 data as the new anchor.