Domain RAG & Vector Intelligence
Search and query your PDFs, internal wikis, contracts, and codebases with citation-backed accuracy.
- Chunking & semantic re-ranking
- Pinecone, Qdrant & pgvector setup
- Hallucination filtering & source links
04 / INTELLIGENCE DISCIPLINE
AI assistants & RAG pipelines with real business value.
We move beyond generic chat wrappers. We architect production Retrieval-Augmented Generation (RAG), domain assistants over private company data, intelligent OCR document extraction, and autonomous agent workflows with strict hallucination guardrails.
Capabilities
What we build in applied AI.
Practical, high-ROI AI systems engineered with strict evaluations and verifiable grounding.
Autonomous Customer & Ops Agents
Goal-directed agents that can look up databases, trigger webhooks, and resolve multi-step inquiries.
- Function calling & tool integrations
- Memory and conversational context
- Human-in-the-loop escalation gates
Document & Multimodal Extraction
Extracting structured JSON from messy invoices, bank statements, medical records, and receipts.
- Vision LLMs & table parsing
- Schema validation (Pydantic / Zod)
- Automated OCR fallback pipelines
Private & On-Premise AI Deployment
Host open-weight models (Llama 3, Mistral, DeepSeek) inside your private cloud for zero data sharing.
- vLLM & Ollama inference clusters
- HIPAA & GDPR compliant topology
- Zero external API telemetry leak
Model Fine-Tuning & LoRA Adapters
Custom fine-tuned weights for specific industry jargon, classification rules, or writing tones.
- Dataset synthesis & cleaning
- QLoRA training & benchmark evals
- Continuous regression test harness
AI Feature Injection in Existing Apps
Seamlessly adding smart copilots, auto-drafting, and predictive search into your current SaaS.
- Edge stream token streaming (SSE)
- Usage metering & token budget caps
- Fallback model routing (GPT-4o / Claude 3.5)
AI & Data Stack
Modern AI architecture, enterprise reliability.
We engineer AI with robust observability and automated evaluation suites.
OpenAI GPT-4o
Anthropic Claude 3.5
Llama 3.3
LangChain / LangGraph
LlamaIndex
Pinecone
Qdrant
pgvector
vLLM
Ollama
Unstructured.io
LangSmith / Helicone
Python & FastAPI
Included Deliverables
- Complete vector indexing & RAG pipeline source code
- Grounding accuracy & hallucination evaluation report
- Guardrail rules & PII redactor configuration
- Token cost optimization & caching proxy setup
Engagement Structure
- AI Feasibility Sprint: 2-week validation & benchmark proof
- Production RAG Deployment: 4-week end-to-end integration
- Security Guarantee: Zero training on client enterprise data
- 100% Code & Weight Ownership: Full transfer to your infra
FAQ
Frequently asked questions.
Never. We use enterprise zero-data-retention APIs (OpenAI/Anthropic Business terms) or deploy open-source models inside your own AWS/Azure VPC. Your documents and queries are never stored or used to train third-party AI models.
We implement multi-stage RAG with cross-encoder re-ranking, minimum relevance confidence thresholds, and explicit fallback directives. Every factual claim is forced to link to an exact document passage or source reference.
Deploy Intelligence