Most consulting firms advise. We build. Our forward deployed engineers work directly inside your organization — designing RAG architectures, wiring up Model Context Protocol (MCP) integrations, and standing up agentic AI systems with the governance and human-in-the-loop controls your enterprise requires.
We design and deploy autonomous AI agents that execute multi-step workflows, make decisions, and escalate to humans when it matters — with full auditability.
Every AI system we build includes proper HITL checkpoints — so your team stays in control of high-stakes decisions while automation handles the rest.
We build retrieval-augmented generation pipelines that ground your AI in your own data — eliminating hallucinations and keeping responses accurate and current.
We integrate MCP so your AI agents can securely connect to databases, APIs, and internal tools — giving them the context they need to take real action.
Production-grade ML infrastructure on AWS, GCP, and Azure — including model versioning, continuous training pipelines, and cost-optimized deployment.
SOC 2-ready AI architectures with data loss prevention, PII masking, guardrail enforcement, and zero trust design — so your AI deployments meet enterprise security standards.
Tell us what you're building. We'll tell you how to get there faster.
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