Cognilium AI

We build AI systems that hold up in production. Multi-agent platforms, RAG and document intelligence, voice pipelines, the data engineering that feeds them, and the integration that connects them to your ERP and Dynamics 365.

Most AI work stalls at the demo: great in a notebook, then broken by real users, real documents, and real cost. We build for the part after the demo: retries, guardrails, observability, and a codebase your team can run once we step back.

RECENT BUILDS

• A contract-intelligence platform running 23 AI agents across a 4-module AWS pipeline (ECS Fargate, SQS, DynamoDB, Bedrock). Results delivered live inside Microsoft Word; smart routing cuts LLM calls about 75 percent.
• A platform for a family office managing roughly $850M: 7 agents on Google ADK with a supervisor pattern, an 8-stage document-intelligence pipeline across 25 document types, a Neo4j knowledge graph with entity resolution, and Vertex AI Search, shipped as multi-tenant SaaS on GCP with zero-trust isolation.
• A financial-advisor agent on AWS Bedrock AgentCore: guardrails in code, sub-200ms P95 latency, and CloudWatch tracing.
• A generative-AI system for automotive-parts manufacturing: real-time parts search across millions of records via RAG, plus a re-architected ERP workflow their engineers can maintain.
• An AI writing co-pilot in a K-12 learning platform: hybrid retrieval (dense, BM25, RRF) over an approved curriculum with GPT-4o, gated by a 100-point LLM-as-Judge check with retries, so every lesson is grounded before it ships. In active development.

We also run this full production lifecycle on our own AI products, not only on client work.

HOW WE WORK

• Production-grade from day one: architecture not scripts, observability built in (LangSmith, Datadog, CloudWatch, X-Ray), and cost guardrails with prompt caching so inference bills stay a feature.
• Guardrails in code with human-in-the-loop where it matters. Documentation, runbooks, training, and 90-day post-launch support on the way out. You are not locked to us.

TECH

• Agents and LLMs: LangGraph, LangChain, CrewAI, AWS Bedrock AgentCore, Google ADK, and MCP (including custom MCP servers), with Claude, GPT, Gemini, Llama, and Amazon Nova.
• RAG, retrieval, and data: Pinecone, Qdrant, Weaviate, OpenSearch, ChromaDB, Neo4j (GraphRAG), and Vertex AI Search, fed by Airflow, AWS Glue, Kafka, Spark, and Elasticsearch.
• Voice: Twilio, Vapi, Bland, Ultravox, ElevenLabs, and Whisper. • Cloud and enterprise: AWS, GCP, Azure, Docker, Kubernetes, and Terraform, plus Dynamics 365 Finance and Operations integration, Azure AI, Power Platform, and Entra ID.