mayi — zsh
$ ▌

We are AI developers.
One of us will build with you.

MayI is a collective — not an agency, not a marketplace. You work directly with one of us. No middlemen, no handoffs.

Talk to usMeet the team →
✓ developers in the collective150+
✓ all have shipped AI to productionyes
✓ you talk directly to usalways

// how we work

Full-context AI engineers. Embedded, not outsourced.

You talk directly to the person writing the code — one developer embeds with your team and ships.

// the real problem

87% of AI projects never reach production.

×Anyone can call themselves an AI developer.
→Everyone in MayI has shipped AI to production. That's the bar — not a course, not a certificate.
×AI demos look good. Production inference is where things break.
→We debug hallucinations, inference cost blowups, and second-version pivots.
×Agencies build it, then leave.
→You work with one developer, embedded in your team. The knowledge stays.
×You don't need a full-time AI hire yet.
→One engagement, one developer. Scale up or stop — your call.

// capabilities

Agents, RAG, fine-tuning, voice. Production AI.

$ ls capabilities/
agents/Multi-step agents that take real actions, reliably.
rag/Retrieval pipelines that are actually grounded.
llm-apps/Production apps built on frontier models.
fine-tuning/Custom models tuned to your data and domain.
mlops/Evals, monitoring, deployment that doesn't fall over.
voice/Low-latency voice agents and realtime interfaces.

First-class
AI engineering

We are a collective of developers who have shipped AI to production. Our goal is simple — build the system you need, one that just ships.

Runningreasoning-agent
Run
HTTP 200: { "agent": "researcher", "status": "done", "ms": 412 }
HTTP 200: { "agent": "writer", "status": "done", "ms": 380 }
HTTP 200: { "eval": "groundedness", "score": 0.94 }
HTTP 200: { "eval": "cost", "usd": 0.011, "status": "ok" }
▌

Eval-tested

Every system ships with evals, monitoring, and cost guards — so it holds up in production, not just in the demo.

ShippedJun 26 · 09:56

RAG pipelineforAcme·Agentic RAG·Production

ShippedJun 26 · 09:51

Voice agentforFintech Co·412ms p95·Production

ShippedJun 25 · 18:20

Eval suiteforNorthwind·12 models·Monitored

Live progress

Watch the build move in real time. Every milestone comes straight from the developer — no status meetings, no theater.

the community

Some of us.

Real people in MayI. Click any profile to see their work.

R.K.
Agentic Systems

Built a multi-agent document processing pipeline handling 2M+ docs/month for a legal-tech startup.

view work →
A.M.
RAG & Search

Designed a hybrid retrieval system with re-ranking that cut hallucination rate by 60% over naive RAG.

view work →
S.T.
Fine-tuning & LLMs

Fine-tuned an open-source foundation model on a proprietary medical dataset — outperforms frontier models on domain-specific evals.

view work →
P.N.
MLOps & Evals

Built eval suites and cost monitoring for a 12-model production system running across 3 providers.

view work →
D.K.
Voice & Realtime AI

Shipped a sub-400ms voice agent for a customer-support platform handling 50k calls/month.

view work →
V.R.
LLM Applications

Led end-to-end build of an AI sales assistant that increased conversion 23% over a 90-day trial.

view work →

Names anonymized. Work shared in confidence — access codes on request.

~/in-short·13 seconds

▌

// global

Clients on every continent.

One of us is always in your timezone.

20+countries
5continents
24/7timezone coverage

// how it works

[01]

tell us what you need

One conversation — your problem, your stack, your deadline.

[02]

one of us takes it on

The right developer embeds with your team and works with you directly.

[03]

we ship

Real work, no handoffs, no middlemen. Stay as long as you need.

Are you an AI developer? Apply to join →

// talk to us

Tell us what you're building.

We'll reply within 24 hours.