Agentic AI, workflow automation, voice AI, and private deployments, built for operations-heavy businesses that are done moving manual work through headcount.
Multi-agent architectures that reason, act, and close loops without a human in the middle. Built with LangGraph, LangChain, and MCP server implementations scoped to actual complexity needed.
Self-hosted n8n pipelines, CRM automation, and data workflows that eliminate manual overhead. No per-operation SaaS pricing. No vendor lock-in. You own the code.
Inbound and outbound call handling built on Retell AI, Vapi, or Bland. SMBs miss 37.8% of calls — 85% of those never call back. A voice agent handles calls your team cannot.
Retrieval-augmented generation pipelines with proper chunking, document ingestion, and grounded assistants built on your actual data. Not generic wrappers.
Air-gapped deployments for healthcare, legal, finance, and compliance-heavy environments. 44% of enterprises cite data privacy as their #1 AI barrier — we build around that constraint.
MCP servers, API integrations, browser extension AI, data pipelines, and payment and identity systems — built around your existing stack, not the other way around.
We map the actual problem before touching a line of code. What manual work is happening, what systems exist, what constraints are non-negotiable. No strategy decks, just a clear picture of what gets built and why.
We design the system to fit your stack and your compliance environment. Whether that's a LangGraph agent pipeline, a self-hosted n8n workflow, or an air-gapped private deployment. The architecture matches the actual constraint, not a template.
We ship in cycles. Regular check-ins, visible progress, bias toward working software over documentation. When it's live, we don't disappear. We monitor, iterate, and make sure it actually runs the way we said it would.