LLM agents, RAG pipelines, and AI-powered workflows — production-ready
Most AI POCs die in staging. Hallucinations, latency, cost, and lack of observability make production deployment hard. Generic chatbot wrappers don't solve business problems.
We build purpose-built AI agents grounded in your data: RAG pipelines on your knowledge base, function-calling agents for your APIs, multi-agent orchestration for complex workflows — all on AWS Bedrock AgentCore or open-source stacks.
We've deployed 200+ AI agents in production across healthcare, fintech, manufacturing, and SaaS. Not demos — real agents handling real workflows, with guardrails, monitoring, and fallback logic.
Identify the 3 highest-ROI AI use cases in your business — not the trendiest
Audit your data sources, quality, and access patterns for RAG/fine-tuning readiness
Working agent on your real data — before any long-term commitment
Guardrails, logging, cost controls, latency SLAs, fallback logic
Evaluation framework, drift detection, continuous improvement loop
Not hypotheticals. Real projects, real clients, real numbers.
Client needed AI automation across 20 business units, each with different data sources and workflows.
Multi-tenant AgentCore deployment with per-BU knowledge bases, function tools, and audit logging.
200+ agents live across use cases: sales copilot, contract review, data harmonisation, IoT triage.
Clinicians spent 2–3 hours/day reading patient history before consultations.
HIPAA-compliant RAG pipeline over EHR data — produces structured 1-page summary in <10 seconds.
Consultation prep time cut by 80%. Adopted by 3 hospital networks.
No sales pitch. A 30-minute call to understand your challenge and tell you honestly if we can help.