Now booking Q3 engagements

Ship intelligent agents that actually move revenue.

We are an applied AI studio designing, building, and deploying production agents, agentic RAG, and voice AI for ambitious teams.

40+

Production deploys

12

Countries shipped

6wk

Median time to prod

agent.invoke("plan")
142 tools indexed
// stack we ship with
OpenAIOpenAI·
AnthropicAnthropic·
LangChainLangChain·
Hugging FaceHugging Face·
PineconePinecone·
SupabaseSupabase·
VercelVercel·
AWSAWS·
Google CloudGoogle Cloud·
CloudflareCloudflare·
PydanticPydantic·
n8nn8n·
OpenAIOpenAI·
AnthropicAnthropic·
LangChainLangChain·
Hugging FaceHugging Face·
PineconePinecone·
SupabaseSupabase·
VercelVercel·
AWSAWS·
Google CloudGoogle Cloud·
CloudflareCloudflare·
PydanticPydantic·
n8nn8n·
// 01 — what we build

Six disciplines. One opinionated stack for shipping AI that earns its keep.

We don't sell demos. Every engagement starts with a measurable outcome and ends with a system your team can operate — instrumented, evaluated, and wired into the tools you already pay for. Below: the six surfaces we ship most often, and the layer of guardrails that holds them together.

capability index● live
Agents in production92%
Retrieval coverage88%
Voice & realtime76%
All services

Every surface above ships with evals, observability, and a human-in-the-loop path — so the team trusts what's deployed, not just what was demoed.

Scope an engagement
// The platform

A neural fabric that connects data, reasoning, and action.

Every system we ship plugs into your stack — CRM, ERP, warehouses, voice channels — with evals, observability, and guardrails wired in from day one.

  • Multi-agent orchestration with tool-use & memory
  • Hybrid retrieval over docs, APIs, and vector stores
  • Realtime voice with sub-400ms response latency
  • Eval harness, red-teaming & continuous monitoring
agent.graph.live
● online

10

Nodes

142

Tools

284ms

P95 latency

// featured case · retail bank · MENA · 2025

Cutting tier-1 support backlog by 71%.

A multi-tool support agent with retrieval over policy docs, secure tool calls into the core banking API, and a human-handoff path with full audit trails.

71%

Resolution

−42%

Handle time

9.2

CSAT

6 wk

To prod

Read the case study
// voice agent · live

Realtime conversations, sub-400ms latency, your stack.

user > "schedule a callback for tomorrow morning"

agent > booking 9:15 AM... confirmed ✓

// Process

From discovery to live system in six weeks.

01

Discovery

Audit context, define outcomes.

02

PoC

Validate the riskiest assumption.

03

Build

Production system, evals, observability.

04

Deploy

Rollout, training, runbooks.

05

Operate

SLA support and iteration.

// Industries

Deep context where it matters.

All industries
"They cut our tier-1 support backlog by 71% in the first quarter. The agent feels like a teammate, not a chatbot."

Head of Customer Ops

Retail Bank · MENA

"We had three failed RAG attempts before AIAgentCafe. They shipped a retrieval system our analysts actually trust."

Director of Data

Commodities Trading Firm

Have a problem worth solving with AI?

Tell us about it. We reply within one business day with an honest take — and whether we're the right team.