Artificial Intelligence & Data
AI that runs in production.
LLM integrations, retrieval-augmented generation (RAG), data pipelines, and ML feature development — built by engineers who treat AI as an engineering discipline, not a marketing demo.
What we do
LLM API integrations (OpenAI, Anthropic Claude, Google Gemini)
Production Retrieval-Augmented Generation (RAG) pipelines with hybrid search
Vector database design and indexing (Pinecone, Weaviate, pgvector)
Autonomous workflow agents for document processing and API execution
Deterministic guardrails and prompt-injection defense mechanisms
Private data boundaries ensuring enterprise customer confidentiality
You walk away with
Production-deployed AI feature or agent subsystem
Structured parsing and schema-validated transformation layers
Model evaluation, latency benchmarking, and cost optimization report
Real-time operational exception consoles and audit log dashboards
30-day post-launch warranty
Stack
PythonFastAPILangChainOpenAI / Claude APIsPineconepgvectorPostgreSQLDocker
Ideal for
Products adding AI-powered semantic search, copilot, or conversational flows
Businesses automating manual document extraction and cross-system sync
Teams building domain-specific recommendation and ranking algorithms
Companies with raw proprietary data needing an intelligent query layer
Ready to scope your project?
Free scoping call — speak with a senior engineer, not a sales rep.