We are building the
operating system
for software creation.
Lumetis turns application development into a self-improving system that generates, runs, fixes, and evolves software autonomously.
The Problem
Software development is still broken.
The tools changed. The cost structure didn't. Building software still requires months, large teams, and constant human intervention to fix what breaks.
The Solution
A system that builds, runs, and learns.
Lumetis is not a code assistant. It is a full-stack generation platform with a closed feedback loop — every execution teaches it how to build better.
01
Generate
Produces complete backend + frontend + database from a plain-language blueprint in minutes.
02
Fix
Detects runtime failures, classifies them, and applies the recommended fix automatically — no human in the loop.
03
Learn
Every fix is recorded. Patterns accumulate. Future builds benefit from every past failure, on every app, across every user.
The Moat
This is a compounding system.
The longer it runs, the harder it becomes to compete with.
Every app generated, every fix applied, every failure classified becomes a signal. Those signals form a proprietary dataset that no one else has. Competitors starting today begin at zero.
App Generated
Blueprint → working app, no dev team
Error Classified
Failure type identified and categorised
Fix Applied
Recommendation executed automatically
Pattern Stored
Outcome recorded in the learning dataset
"The dataset we're accumulating — error types, fix outcomes, generation patterns — is a proprietary, compounding asset. It cannot be copied. It can only be earned by running in production."
Competitive Position
Why Lumetis wins.
The category is large. Most competitors solve one piece of it. We solve the full loop.
Full-stack generation
Not code snippets. Not starters. A complete backend, frontend, and database from a single description.
Self-improving system
Not static AI. Every execution feeds the system. It gets better with every app built and every error fixed.
Production-ready output
Not prototypes. Not demos. Running software with real routes, real data models, real deployable code.
Compounding data advantage
Not replicable. The error-fix-outcome dataset we're building has no shortcut. Competitors start from zero.
This is not a tool. This is a system that improves itself over time.
What This Unlocks
Software creation becomes a different kind of activity.
When generation is automated and fixing is continuous, the economics of software flip.
Faster
Weeks of development become minutes of generation. Iteration loops that used to take days happen in seconds.
Cheaper
No dev team needed to ship a working v1. Operating costs approach zero for early-stage products.
Scalable
One person can maintain and evolve dozens of apps simultaneously. The system handles the failure surface.
Accessible
Non-technical founders, operators, and domain experts can build and run real software — not prototypes.
Anyone can build and run software.
Without a development team.
Proof
Not slides. Working software.
Every capability below is live in the current build.
Blueprint → backend + frontend + database in minutes
Classifies failures by type with 70–95% confidence
Recommended fix executed without human input
Every state archived; any version replayable
Structural change tracking across routes, models, pages
Fix outcomes feed back into the recommendation system
Live system demonstration
This is not a concept. The system is running.
The animation below replays an actual generation cycle — version history, automatic fix, and the learning signal stored — as it runs in the live system.
Fix Recommendation
add_missing_import
Add missing module import in route handler. Pattern matched from 14 prior fixes.
Learning Insights
Top error patterns across all apps
27 patterns stored · 82% fix success rate · 3 apps active
Business Model
Three revenue streams. All aligned with value delivered.
The more the platform generates and fixes, the more the customer pays — and the more the system learns.
Subscription
Developers and startups pay a monthly fee for access to the generation platform and snapshot history. Predictable ARR from day one.
Usage-based pricing
Charged per generation, per automated fix, and per runtime hour. Scales directly with customer growth and engagement.
Enterprise licensing
Internal tools teams and automation platforms license the system for private deployment. High-ACV, low-churn contracts.
High-margin software platform with compounding value.
Market
A large market at the moment of maximum leverage.
We enter at the infrastructure layer — where the highest-margin, highest-retention businesses are built.
$28B
Low-code / no-code platforms
Who buys: SMBs + non-technical founders. Why they pay: speed to market.
$187B
Enterprise software development
Who buys: CTOs + engineering orgs. Why they pay: 10× reduction in dev cost.
$1T+
Global software market (2027)
Who buys: everyone. Why they pay: software is now table stakes for every business.
Why Now
The window is open. It won't stay open.
Three forces converged. One gap remains. We're filling it.
The generation layer is solved. Models can now produce real backends, real frontends, real databases from a description.
Compute, storage, and hosting costs have collapsed. Running a generated app costs cents, not thousands.
Every business needs custom software. The gap between demand and supply is at an all-time high.
The missing piece: a platform that closes the loop. Generate, run, fix, learn. No one has built this. We are building it now.
Traction
Where we are today.
Working MVP. All core systems shipped. No fluff.
Early Signals
The system is already running.
Early stage. Real outputs.
First applications generated end-to-end
Full backend + frontend + database. No manual code.
System detecting and fixing real issues
Runtime errors classified and resolved without human input.
Learning patterns actively accumulating
Error-fix-outcome data growing with each generation cycle.
Early users onboarding in progress
First external users accessing the platform for feedback.
The Founder
Built by a product & data specialist.
Pierre-Jean
Founder · Lumetis
Background in analytics, automation, and system design — focused on turning complex data into usable products.
Experience building real-world data and finance platforms that operate under production constraints.
Focused on closing the gap between AI capability and production-ready software — not prototypes, real systems.
Join Us
We are opening early access to a limited
number of partners and investors.
Seed round. Early-stage valuations. First-mover terms for partners who come in now and help shape the roadmap.
100%
Code you own
0
Vendor lock-in
<5 min
To a working app