FellowAI Labs
Retrieval-augmented generation (RAG) knowledge systems, document intelligence, OCR, and automated multi-agent workflows engineered for production reliability.
Unit Mission & Overview
FellowAI Labs is our dedicated applied artificial intelligence innovation group. We engineer domain-grounded RAG pipelines, enterprise document parsing, intelligent multi-agent systems, and computer vision prototypes.
Generic AI Pitfalls in Production
Off-the-shelf generative models often produce factually ungrounded answers, lack domain knowledge of private enterprise documents, and introduce latency and data privacy risks.
Our Grounded Intelligence Approach
We engineer deterministic ingestion pipelines, hybrid keyword-vector retrieval, contextual chunking, prompt security guardrails, and quantitative evaluation benchmarks to guarantee verifiable model answers.
Specialized Scope
Core Engineering Capabilities
Domain-Grounded RAG Systems
Multi-stage semantic search across proprietary technical documentation, manuals, and internal databases.
Document Intelligence & Table Extraction
OCR, layout-aware parsing, table normalization, and automated structured data extraction from scanned files.
Multi-Agent Deterministic Workflows
Coordinated LLM agents executing chained business validation steps with human-in-the-loop overrides.
Self-Hosted Model Inference
Deploying quantized open-weights models (Llama, Mistral) on private VPC infrastructure for full data privacy.
Computer Vision Quality Inspection
Automated surface defect detection, barcode/QR recognition, and image classification tuned on custom datasets.
Benchmark Evaluation & Safety Guardrails
Systematic test suites evaluating answer correctness, context faithfulness, hallucination rate, and PII filters.
Production Outcomes
Tangible Deliverables
Integrated AI Application or Service
Production software application integrating vector indexing, model endpoints, and clean user interfaces.
Document Ingestion & Embedding Pipeline
Automated file watcher and ingestion scripts chunking and indexing PDFs, DOCX, and database tables.
Evaluation Benchmark & Verification Report
Documented evaluation metrics covering precision, recall, latency, token costs, and safety compliance.
API Specification & Private Deployment Manifests
Dockerized model serving configurations, FastAPI OpenAPI documentation, and security policies.
Toolchain & Libraries
Technology Stack
Industry-tested languages, engines, and protocols tailored for FellowAI Labs's domain focus.
Field Applications
Practical Real-World Use Cases
Interconnected Capabilities
Related Core Services
Artificial Intelligence & Intelligent Automation
Custom ML pipelines, RAG systems, NLP, and agentic workflow automation.
Enterprise Software, Web & Mobile Platforms
Secure web portals, API integration layers, and relational data architecture.
Have a Project in Mind for FellowAI Labs?
Connect with our lead architects to discuss requirements, feasibility, or hybrid squad assembly under mutual NDA protection.