New post: Why your RAG eval suite is probably lying
Book a call

From prototype
to production AI.

Turn AI into your competitive advantage.

Book a call
Built on the stack your team already trusts
Azure
OpenAI
Anthropic
Microsoft
LiveKit
LangChain
// process

From "could this work?" to deployed in one engagement.

Scope what actually moves a metric

Most AI projects ship a demo that nobody uses. We start by finding the business metric AI could move — then scope a tight POC that tests whether the bet pays off, in 2–4 weeks.
Built on Azure AI Foundry, AI Search, and Container Apps. Wired into your auth, your data, your observability. CI from day one. Evals from day one. Nothing thrown over the wall.
Documented eval suite, runbook for the on-call team, dashboards for the people paying the bill. You leave the engagement able to keep iterating without us.

Built on Azure. Hardened for production.

[ 01 ]
AI-102
Microsoft Certified Azure AI Engineer Associate
[ 02 ]
2–4 weeks
typical POC delivery from kickoff to working demo
[ 03 ]
Azure-native
AI Foundry, AI Search, Container Apps, Entra ID — the stack your IT team already trusts
// why us

One team, from POC to production.

Eval-driven from kickoff

Every system ships with an eval harness so you know whether it's working — before, during, and after deployment. No "vibes-based" AI.

eval dashboard — retrieval recall
RAG eval suite ···
Retrieval · 84 cases ⌄
✓
✓
Generation · 84 cases ⌄

Voice agents that don't sound like a phone tree

Real-time speech, tool-using agents, telephony integration. Built to handle inbound calls or place outbound ones — with humane handoff to a person when it matters.

V
Ava
Support voice agent
I see you're calling about your March invoice — want me to pull it up?
I'll email a copy now. Anything else?
Transferring to a specialist →
↗
Handoff queued
to billing team
Accept
Listening… ↑

Azure-native, not Azure-after-the-fact

Built on AI Foundry, AI Search, Container Apps, and Entra ID — the surface your IT team already trusts.

Short, scoped engagements

Fixed scope, fixed timeline, fixed price. No open-ended retainers — every engagement ends with a working system and a handoff plan.

sprint board — POC to production
68%
Sprint 2 of 3 Eval suite passing 12/14 cases green
// services

Four ways to ship

Pick the engagement that matches where you are — from "could this even work?" to "we need this live next quarter."

RAG pipelines

4–6 week engagement

Production retrieval-augmented generation: chunking, embeddings, reranking, and retrieval evals — wired into Azure AI Search and your existing knowledge base.

Who's it for

Teams sitting on a knowledge base and a chatbot that still hallucinates.

R
Service RAG · Search · Evals

Voice agents

6–8 week engagement

Task-oriented voice systems for inbound and outbound calls. Real-time speech, telephony integration, tool use, and humane handoff to a person.

Who's it for

Support, sales, and operations teams drowning in repetitive calls.

V
Service Voice · Telephony · Agents

AI agents & workflows

4–8 week engagement

Text-based automation with tool use, planning, and guardrails. Multi-step workflows that touch the systems your team already uses.

Who's it for

Ops teams with ten-tab workflows ripe for automation.

A
Service Agents · Workflows · Tools

POCs & evaluations

2–4 week engagement

Fast proofs-of-concept to test whether an AI feature actually moves a metric. Eval harnesses to measure it before, during, and after.

Who's it for

Teams that need to know if AI is worth investing in before they commit.

P
Service POCs · Evals · Observability

Got a metric you'd move with AI?

Book a call