AI product engineering
Whole products, not demos. Architecture, backend, front end, payments, auth and the deployment that keeps it up — the way we build our own.
Node.jsMongoDB
Web appsAndroid
We don't just advise on AI. We ship it.
Michmer is an AI product studio and outsourcing partner. We design, build and operate AI systems in production — data pipelines, LLM automation and full products. Everything we sell, we already run ourselves.
Live AI products in production
Self-hosted & API LLMs
Data pipelines at scale
Five intern roles open
Engineering · Product · Sales · Marketing
Read the roles
What we do for you
Consulting and outsourcing, end to end.
Take a slice or the whole thing — we work as your AI team, from the first prototype to the system that runs at 3am without you.
Data pipelines & scraping
Collection at scale that doesn't fall over. Crawlers, dedup, enrichment, scheduling, monitoring and recovery — clean structured data landing where you need it.
CrawlersETL
EnrichmentMonitoring
LLM integration & automation
LLMs inside real workflows: extraction, classification, summarisation, RAG and agents. Self-hosted or API — chosen on cost and latency, not hype.
RAGAgents
Self-hostedEvaluation
Engagements usually start with one card and grow into the next. We are equally happy being the whole team or one specialist inside yours.
How we work
Small team, short loop.
No layers and no handoffs — you talk to the people writing the code.
01
Scope
A call, then a written scope with what's in, what's out, and what it costs. No surprises later.
02
Prototype
Something running early, on real data. We'd rather show you than describe it.
03
Build
Iterative delivery with your feedback in the loop, not a big reveal at the end.
04
Operate
Deployed, monitored and maintained — or handed over clean with docs. Your call.
Why Michmer
We're our own hardest client.
Our own products aren't case studies from a deck — they're live systems we keep running every day, at our own cost. The same discipline goes into your build.
Production-tested
Every technique we recommend is one we already run in production, at our own cost.
Cost-aware by default
We run self-hosted models where they win and APIs where they don't. Your bill is a design constraint.
Own the outcome
We stay on through deployment and monitoring. Shipping isn't where our job ends.
India-based, global work
Engineering out of India, working across time zones — a real cost advantage without the agency overhead.
Research
We back AI research, not only client work.
Most of what we build stands on work somebody published first. This is how we pay that back — compute and funding for people doing applied AI without a lab behind them.
Research grants
Small grants for students, independent researchers and small labs doing applied AI — compute, money for the unglamorous parts, and time from engineers who run these systems every day. We ask that results be published; the work stays yours.
ComputeFunding
Data accessEngineering time
01
Send it
Two pages: the question you're chasing, what the grant would pay for, and who you are.
02
We read it
Read by engineers, not a committee. You get a written answer either way — including the reason, when it's a no.
03
We fund it
A short plan agreed in writing, then the grant is released — compute, money, or both.
04
Stay in touch
Compute, review and the occasional pair of hands while the work runs. We'd rather stay useful than collect a logo.
Work we could plausibly run in production interests us most — evaluation, retrieval, agents, cheaper inference, Indian-language data. Send it anyway if it doesn't fit that list.
Get in touch
Tell us what you're building.
Send a few lines about the problem — you'll get a real reply from an engineer, not a sales sequence.