Currently booking · August 2026

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.

Human and AI collaboration
MLGround engineer
AI infrastructure
5 days

Idea to first live AI submission

10+

AI microservices, one repo

30,000+

Applications submitted every day

$0

Committed monthly infra spend

WHO WE ARE

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 shipped

AI-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 build
What we build

AI is the default. Not a sprinkle.

SubmitX agent

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 →
people.mlground.com new offer with pre-filled compensation

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

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 + infra

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 →
HOW WE WORK

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 →
Generative AI in production
AI infrastructure

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 build
YOUR TURN

Got 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