About Us
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 Engineer, Software Engineer, and named inventor on U.S. Patent "Computing Environment Management Using Language Models" (USPTO issued 2026) -- the firm brings 15+ years of Fortune 500 and federal experience (Disney, Capital One, Cisco, Ford, U.S. Department of State) to deliver production-grade AI/ML solutions, self-healing infrastructure, and enterprise automation to federal agencies and commercial enterprises.
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, event-driven streaming, 71+ reusable MCP (Model Context Protocol) servers, and zero-trust security architecture. Albright Laboratories specializes in translating ambiguous operational problems into deployable machine learning solutions that proactively detect anomalies, predict failures, and trigger automated remediation at enterprise scale.
We operate as a capital-efficient firm. Every engagement is priced to be cash-flow positive from week one. We do not rely on speculative venture funding. We earn inches and convert them into miles.
Mission Statement
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.
Core Competencies
- Machine Learning Model Training & Deployment (LoRA, DPO, RLHF, SFT)
- Multi-Agent AI Orchestration & LLM Inference Pipelines
- Self-Healing Infrastructure & Automated Remediation
- Anomaly Detection, Predictive Analytics & Event Correlation
- Knowledge Graphs, RAG/CAG & Vector Database Systems
- NLP: Named Entity Recognition, Trend/Spike Detection, Deception Detection
- NVIDIA GPU Computing (Triton, TensorRT-LLM, NeMo, RTX 5090)
- Kubernetes & Container Orchestration (Docker, Helm, HPA, RBAC)
- Event-Driven Streaming (Kafka, Redpanda, Redis Pub/Sub)
- Cloud Architecture (AWS, GCP, Azure) & IaC (Terraform, Ansible)
- Full-Stack Development (Python, TypeScript, C++, FastAPI, Next.js, React Native)
- DevOps Engineering, CI/CD Pipelines & GitHub Actions
- Zero-Trust Security, Identity/Auth Frameworks & Compliance
- Digital Twins & Simulation Environments for AI/ML Testing
- Reusable Framework Development (71+ MCP Servers)
- AI Video Production (Hallo2, F5-TTS, FFmpeg Compositing)
- Voice Cloning & Text-to-Speech (Local GPU, Zero API Cost)
- TDD & Quality-Gated Pipelines (49+ Unit Tests, 5-Pass Iteration)
Differentiators
- Issued U.S. Patent (USPTO 2026): "Computing Environment Management Using Language Models" -- legally defensible IP, not merely claimed; federal contracting officers can verify in 30 seconds via the USPTO public record
- Black-owned Small Disadvantaged Business with 8(a) Business Development application in process this quarter -- structural advantage for federal set-aside contracts
- Capital-efficient delivery posture: Every engagement priced to be cash-flow positive from week one; no VC dependence; bills against earned value, delivers against signed scope
- 15+ years Fortune 500 & Federal experience (Disney, Capital One, DoS)
- Production ML training infrastructure: LoRA/DPO/RLHF on NVIDIA RTX 5090 (32GB)
- Automated nightly model training loops with validation gates & rollback
- BrightFlow: 67+ repos, 71+ MCP servers, 185K+ RAG memories, 134K+ learning events
- 40-agent AI consensus system with chain-of-thought ensemble reasoning
- Self-healing K8s clusters with 34,000+ auto-registered issue resolutions
- Real-time inference: Kafka/Redpanda streaming, C++ <500µs latency
- Zero-trust bastion (JIT provisioning, <5s emergency kill switch)
- Proven: 20,000+ txn/min systems, 99.999% uptime, 50% delivery acceleration
- Self-hosted CI/CD reducing costs by 80%; 30-minute disaster recovery
- HIPAA, PCI-DSS, SOC 2, SEC, SOX, GAAP compliance expertise
- AWS Solutions Architect Associate (2018) certified; 8+ years hands-on AWS DevOps in production
- Prior contracts: DoS, FAA, NAVAIR, National Guard, BMDO
- Flexible engagement: consulting, staff augmentation, or turnkey solutions
- AI video production platform: 5-pass quality-gated pipeline producing broadcast-quality podcasts
- Full-body talking video from single portrait (Hallo2, MIT license, local GPU)
- Voice cloning from 10-second samples (F5-TTS, zero API cost)
- TDD discipline: 49+ unit tests, all modules under 200 lines, gold standard governance
- Nuclear × AI convergence — the two-stack credential profile: AI compute is power-bound; baseload electricity is the binding constraint on the 2026–2030 hyperscaler buildout. The hyperscalers have moved (Microsoft + Constellation Three Mile Island restart, Amazon + Talen Cumulus, Google + Kairos SMR PPA, Meta RFI, Oracle 1GW pursuit, DOE Loan Programs $1.5B Holtec/Palisades restart). The talent bottleneck for serving the resulting nuclear-for-AI conversation is rare: ~6,000 commercial reactor operators × ~3M AI engineers in the U.S. = dozens credentialed on both stacks. Corey Albright holds the issued U.S. patent on LLM-driven infrastructure management; Kevin Albright is a Naval Reactors-qualified U.S. Navy Surface Warfare Officer (Nuclear) with eight years operating nuclear propulsion plants on aircraft carriers, plus GE Boiling Water Reactor I&C past performance, plus a current USPTO Patent Examiner role in electrical / power electronics / EV power supplies — the precise technology stack that bridges nuclear plant output to data center input.
Leadership — Corey Malcolm Albright
- Founder / Managing Member / CEO — technical architecture, federal capture lead, IP and brand owner
- Named inventor on issued U.S. Patent (USPTO 2026) — "Computing Environment Management Using Language Models"
- AWS Solutions Architect Associate (2018) + 8+ years hands-on AWS DevOps in production
- 15+ years Fortune 500 and federal delivery: Walt Disney Company (Enterprise Tech, multi-agent AI demo to 40+ engineers), Capital One (DevOps/SRE lead, teams of 10–13, 50% delivery acceleration), U.S. Department of State (passport/visa automation, <30-min DR), Cisco, Ford, FAA, NAVAIR, National Guard Bureau, U.S. Federal Reserve
Leadership — Kevin Albright
- Director of Programs & Process Engineering — owns programs, process engineering, operations, finance, HR, vendor management, and SAM.gov filing administration
- Active certifications: Project Management Professional (PMP), Lean Six Sigma Black Belt, Certified Scrum Master (CSM)
- Education: MBA + BS Electrical Engineering (Hampton University)
- Current USPTO Patent Examiner (electrical systems, EV power supplies, power electronics — Apr 2024–Present)
- Former U.S. Navy Surface Warfare Officer — Nuclear (propulsion plants on U.S. Navy nuclear aircraft carriers)
- GE Lean Six Sigma Black Belt delivering $5M–$10M annual cost savings; GE nuclear I&C engineer for Boiling Water Reactors
- Delta Air Lines Sr. IT PM — on-prem to AWS cloud migration
- Wells Fargo Credit Risk Model governance PM
Government Registrations
- SAM.gov Registered
- 8(a) Business Development Program — Application in Process (2026 priority milestone)
- Small Disadvantaged Business (SDB) — Black-owned
- Economically Disadvantaged (Applying)
- HUBZone — Under Review
SAM
8(a) Filing Q2 2026
SDB
AWS SA Associate
USPTO Patent 2026
Past Performance
- Walt Disney Company - ML/AI Engineering, Self-Healing Infrastructure, Multi-Agent AI, Patent Holder
- Capital One - DevOps/SRE Leadership (teams of 10-13), CI/CD, 50% delivery acceleration
- U.S. Department of State - Platform Engineering, Passport/Visa Automation, DR <30 min
- Cisco - Enterprise Systems Integration
- Ford Motor Company - Release Engineering
- FAA, NAVAIR, National Guard, BMDO, Dept. of Commerce, Dept. of Energy - IT Services
- General Electric — Nuclear Power Generation (Kevin Albright): Instrumentation & Control Engineering for Boiling Water Reactor I&C; Training Program Manager for nuclear I&C product testing. Documented past performance on nuclear-systems engineering at the OEM level — the credential federal nuclear-program officers (DOE-NE, NRC, NNSA, Naval Reactors) want behind any nuclear-adjacent contractor declaration.
- United States Navy — Nuclear Propulsion (Kevin Albright): Surface Warfare Officer (Nuclear), Naval Reactors-qualified; aboard U.S. Navy nuclear aircraft carriers. Eight years operating nuclear propulsion plants; led teams of 50+ sailors and engineers under continuous reactor safety, power generation, and propulsion readiness. The strongest single nuclear-operator credential the firm carries.
Nuclear × AI Convergence Advisory
- Hyperscaler nuclear PPA advisory — Constellation / Vistra / Talen / Duke Energy / Southern Company fleet analysis; SMR developer technical due diligence (Kairos, X-energy, NuScale, Oklo, Last Energy, TerraPower, Westinghouse AP300, Holtec)
- Nuclear-adjacent data-center siting — the Cumulus / Three Mile Island / Susquehanna co-location model; transmission-side feasibility; behind-the-meter PPA structuring
- AI-augmented Instrumentation & Control modernization for the existing U.S. reactor fleet (94 reactors, average age 42 years), backed by Kevin Albright's GE Boiling Water Reactor I&C past performance now AI-augmented under Corey Albright's USPTO patent
- Power-electronics IP landscape advisory — patent landscape for inverters, transformers, power conditioning, and HVDC for nuclear-to-data-center power delivery, drawing on Kevin Albright's current USPTO Patent Examiner role in electrical systems / power electronics / EV power supplies
- Federal nuclear-AI program delivery — DOE Office of Nuclear Energy IT modernization, INL AI-for-nuclear simulation and digital twins, NRC SMR-fleet licensing tooling, NNSA program management, Naval Reactors (NAVSEA-08) — every target backed by a documented principal credential rather than aspirational positioning
Core NAICS Codes
541511 Custom Computer Programming Services
541512 Computer Systems Design Services
541519 Other Computer Related Services
541513 Computer Facilities Management Services
541715 R&D in Physical, Engineering & Life Sciences
541714 R&D in Biotechnology (excl. Nanobiotechnology)
518210 Data Processing, Hosting & Related Services
519210 Libraries & Archives (Data/Knowledge Management)
541330 Engineering Services
541380 Testing Laboratories & Services
541611 Administrative & General Management Consulting
541690 Other Scientific & Technical Consulting
611420 Computer Training
561311 Employment Placement Agencies
511210 Software Publishers
334111 Electronic Computer Manufacturing
221113 Nuclear Electric Power Generation (advisor, not operator)
Products & Solutions
- BrightFlow - Autonomous ML platform with 67+ repos, multi-agent AI, self-healing infrastructure, event-driven streaming, and continuous learning pipelines
- 71+ MCP Servers - Enterprise toolkit spanning infrastructure, code quality, security, data, BI, and communications
- VSKC - Very Smart Kubernetes Cluster with AI-driven self-healing and 34K+ auto-registered issue resolutions
- Big-AL - AI-powered truth verification and forensic evidence examination with deception detection
- Autobot - Autonomous code generation agent with bounded autonomy, PR-gated CI, and budget management
- Admin-On-Demand - Zero-trust bastion with JIT provisioning, TOTP + cryptographic keys, and Cloudflare Tunnels
- AI Video Conferencing - Intelligent video communication platform
- Albright Studios - AI video production platform with 5-pass pipeline: scene generation, voice cloning, talking-head video, multi-camera compositing, and automated quality review
Technology Stack
- ML/AI: PyTorch, TensorFlow, Scikit-learn, CrewAI (preferred), LangGraph, LangChain, PEFT, Unsloth, TRL, NVIDIA NeMo, Ollama, Hallo2 (talking heads), F5-TTS (voice cloning)
- ML Ops: LoRA, DPO/SFT/RLHF, Model Validation, Drift Monitoring, RAG/CAG, pgvector, Qdrant, Pinecone
- GPU: NVIDIA Triton Server, TensorRT-LLM, RTX 5090 (32GB, CUDA 13.0), GPU Time-Slicing
- Languages: Python, TypeScript, JavaScript, C++, Bash, SQL, Java, Ruby
- Web: FastAPI, Next.js, React, React Native, Flask, Node.js
- Streaming: Apache Kafka, Redpanda, Redis Pub/Sub, Kinesis, WebSockets
- Infra: Docker, Kubernetes, ECS/Fargate, Terraform, Ansible, Proxmox
- Cloud: AWS, GCP, Azure
- Observability: Prometheus, Grafana, Splunk, Sentry, CloudWatch
- Video/Media: FFmpeg, Edge-TTS, Hallo2, F5-TTS, MusicGen, Kaniko
- Security: Zero-Trust JIT, IAM, Vault, RBAC, TOTP, Cloudflare Tunnels, HIPAA, PCI, STIGs