AI Engineering Studio · 2026

Modernsoftware,builtwith
AIinside.

We're an IT studio with deep AI expertise — designing, building, and operating the production systems that turn AI ambition into shipped product.

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RAG & Knowledge

Agentic Workflows

AI Infrastructure

Production AI systems shipped

Average eval pass rate

4.7s

Median p95 latency

0yrs

Building production AI

Trusted by teams shipping AI in production

Acme Health

NovaPay

Quanta

Helios Bank

Northwind

What we build

AI systems that survive contact with production.

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AI Strategy & Advisory

Roadmap, governance, eval design. From 'we want to use AI' to a working system.

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RAG & Knowledge Systems

Production-grade retrieval, hybrid search, and grounded answers. Citations that actually link.

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Agentic Workflows

Multi-step agents with tool use, planning, and eval-driven iteration. Debuggable in production.

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AI Infrastructure

Deployment, observability, and cost controls that make AI features into real products.

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How we think

Five things we believe about production AI in 2026.

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02
Agents are real, most demos are not
Tool access, memory, structured outputs, recovery logic. Or it's a sandbox demo.
04
Evals are the single biggest gap
Teams ship a prompt, three test cases, call it done. Then quality drifts.
05
The buying question has changed
Two years ago: "can we." Today: "should we, and at what cost."

Featured work

From pilot to production in 90 days.

Customer support automation

68%

of tier-1 tickets resolved by AI agent — with citations

SaaS · Customer Support

A 50-person CX team scaled to handle 4× the volume — without hiring.

We designed and shipped an agentic support system with RAG over 8 years of historical tickets, escalation routing, and inline citations to source documentation.

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Impact