Capability
Agents that ship and stay shipped
Production-grade autonomous agentic systems built with strict guardrails, automated evals, and human-in-the-loop oversight
Production-grade autonomous agentic systems built with strict guardrails, automated evals, and human-in-the-loop oversight where the stakes justify it.
Most agent demos break in week two. We design for the long haul: scoped tools, deterministic fallbacks, regression evals on every change, and escalation paths when confidence drops.
Guardrailed Autonomous Agents
Agents with sandboxed tool access, spend and action limits, and deterministic fallbacks — autonomous where it's safe, supervised where it isn't.
Automated Evaluation Suites
Regression evals that run on every prompt, model, and tool change, so quality drops surface in CI rather than in a customer conversation.
AI Studio — Product Builds
End-to-end AI product delivery: architecture, agent orchestration, interface, and cloud deployment — a working product, not a proof of concept.
Our approach
From audit to ROI in 3 phases
Discover & Audit
Workflow mapping, risk surfaces, and tool inventory — plus a scoped agent charter with the success metric written down before any build starts.
Build & Integrate
Agent orchestration, sandboxed tools, eval suites, and human-in-the-loop checkpoints built directly into your stack inside 90 days.
Ship & Measure
Production rollout with observability, regression evals on every change, and on-call playbooks for drift and incidents.
Deliverables
ROI snapshot
Agents that earn their keep — measured in hours saved and tickets closed
Manual work removed
Time to production
Tickets closed per head
More capabilities
All capabilitiesManaged Coding
Custom software, web and mobile applications, API integrations, and ongoing development delivered as a managed service
Data Engineering
Enterprise data pipelines, data warehousing, BI dashboards, and scalable analytics platforms built for growth
AI & Automation
LLM integrations, custom AI agents, workflow automation, and intelligent tools tailored to your operational processes
Context from AI History
The ideas behind Agentic AI & AI Studio
Agents in Production
AI stopped answering questions and started completing tasks; the demo-to-production gap was all about failure handling.
Read the story2024MCP Protocol
Every AI app needed a custom connector for every tool, until one protocol made the math linear.
Read the story2016AlphaGo
Move 37: a move no human had played in 3,000 years of Go.
Read the story