Pure AI.
Shipped in days.
MLGround is an AI-native product studio. You tell us what to build. We deliver a working AI product - backed by real infra, real users, real audit trails - in days, not quarters.
Idea to first live AI submission
AI microservices, one repo
Applications submitted every day
Committed monthly infra spend
An AI-native dev shop, not a consultancy.
Engineers, not deck-makers
Every person at MLGround writes code daily. We don't sell roadmaps. We sell shipped software - production AI features that survive contact with real users, real money and real audit logs.
See what we've shippedAI-first, by default
Generative AI is the default tool, not a feature flag. Chat agents, autonomous workflows, document understanding, retrieval, evals - we build them as primitives, not bolt-ons.
Tell us what to buildAI is the default. Not a sprinkle.
Agentic AI products
Chrome extensions, browser agents, autonomous workflows. We've built one that submits 30,000+ job applications every day across 40+ ATSes - yours could automate something just as gnarly.
See SubmitX →
AI-powered internal platforms
HRMS, sales ops, ticket triage, document understanding. Our own people.mlground.com runs the whole HR stack - 12-page legal-compliant offers, NDA flow with SHA-256 audit, leave, interview booking - built in 9 days.
See people.mlground.com ↗
LLM features inside your product
Chat, copilots, structured extraction, smart search, voice. We wire them into your existing stack - Next.js, Rails, Django, Flutter - without a six-month rewrite.
Talk to us →
Evals, RAG, AI infra
Vector stores, retrieval pipelines, evaluation harnesses, prompt-as-code. Boring, fast, cheap - Lambda + DynamoDB + S3 only spending money when a user actually uses it.
Talk to us →Day 1: brief.
Day 3: prototype.
Day 14: live.
No discovery month. No three-phase Gantt. The first thing we ship is the thing you wanted - narrower than you imagined, better than you expected. We iterate against real users from week one.
Case study: SubmitX, 14 days end-to-end →
Unlocking the possibilities of human creativity and machine processing.
Generative AI isn't a feature. It's the new substrate. We help founders, ops teams and product leaders cut through the hype and ship the smallest useful thing - fast - so you can learn under real load instead of in a Notion doc.
Tell us what to buildGot a problem worth shipping fast?
30 minutes is usually enough for us to know whether we can build it, how long it'll take, and what it'll cost.
Book a call