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
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.
AI Agents
Goal-driven systems with tool use, memory, and guardrails.
Agentic RAG
Retrieval pipelines that reason over your documents and APIs.
Voice AI
Low-latency conversational agents for support and sales.
LLM Apps
Custom LLM apps wired into CRM, ERP and data warehouses.
AI Strategy
Roadmaps, build-vs-buy, model selection and ROI modeling.
Responsible AI
Eval harnesses, red-teaming, and governance you can ship.
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.
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
10
Nodes
142
Tools
284ms
P95 latency
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
Realtime conversations, sub-400ms latency, your stack.
user > "schedule a callback for tomorrow morning"
agent > booking 9:15 AM... confirmed ✓
From discovery to live system in six weeks.
Discovery
Audit context, define outcomes.
PoC
Validate the riskiest assumption.
Build
Production system, evals, observability.
Deploy
Rollout, training, runbooks.
Operate
SLA support and iteration.
Deep context where it matters.
"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.