Your AI Deserves Better Than a Proof of Concept.
We engineer production-grade AI systems for companies that demand more than demos. End-to-end — from architecture through deployment. No agency overhead. No junior handoffs. Just senior engineering, applied to your hardest problems.
We exist to close the most expensive gap in AI.
The AI industry has a delivery problem. Companies invest millions in models that never make it to production. Prototypes get celebrated while deployment pipelines remain nonexistent. The gap between “it works in a notebook” and “it's running reliably in production” is where most AI investments go to die.
We founded Koovis AI to close that gap — with engineering rigor forged at the scale of global marketplaces, now applied to companies that refuse to settle for prototypes.
We don't just build AI. We build AI that works when it matters.
End-to-end AI engineering for companies that demand more.
When AI is treated as an experiment, it produces experiments. When it's treated as engineering, it produces systems that drive revenue, reduce costs, and create competitive advantage. We treat every project as the latter.
We don't make promises. We point to results.
Production systems, not prototypes. Real revenue impact, measured in real dollars, deployed across real global marketplaces.
$4.4B
GMS Driven
Built a recommendation engine using causal ML (Double Machine Learning) that informed targeting, incentive design, and fee-setting across 7 global marketplaces.
$26M
Annual Revenue
Engineered an NLP-driven review relevance system using FastText embeddings, deployed across 9 marketplaces.
$14.3M
Incremental Revenue
Created probabilistic reorder models using Bayesian methods, lifting click-through rates by 37%.
$1.9M
Annual Profit Lift
Built a keyword bidding optimization engine using incremental profit metrics for paid advertising.
33%
YoY Adoption Increase
Developed a Pan-EU recommendation engine with calibrated interval forecasts.
1,000+
Users Globally
Built a natural language to SQL system that became a production product used by account managers worldwide.
7
Global Marketplaces
Deployed ML systems across US, UK, DE, FR, IT, ES, and JP — each with unique data patterns and business constraints.
Built different. Engineered to outperform.
Production-Grade Engineering
We build systems that run reliably at 3 AM, not systems that look great in a slide deck. The same engineering rigor behind billion-dollar platforms, applied to your problem.
Full Lifecycle Ownership
From first architecture decision to production deployment and ongoing monitoring. No handoffs, no gaps, no surprises.
Radical Technical Honesty
We'll tell you if you don't need ML. We'll tell you if your timeline is unrealistic. Honest advice, even when it means less work for us.
Battle-Tested Across Domains
NLP, recommendation systems, forecasting, causal inference, ad optimization — we've shipped production systems across all of them.
Speed Without Compromise
We move fast because we've solved these problems before. Not because we cut corners. Working code every week, not quarterly demos.
Depth That Compounds
Years of shipping ML systems at scale means pattern recognition that accelerates every project. We've seen what works and what doesn't.
WealthPilot
Where machine learning meets market intelligence.
Beyond client work, we build our own AI products. WealthPilot is an intelligent quantitative trading system powered by machine learning — designed to surface opportunities that traditional analysis misses. Every algorithm is battle-tested against historical data before seeing a single live dollar.
ML-Driven Signals
Advanced models that surface opportunities traditional analysis misses.
Real-Time Processing
Live data ingestion and decision-making at market speed.
Risk Management
Built-in position sizing, stop-loss logic, and exposure controls.
Backtesting Engine
Validate strategies against historical data before going live.
Adaptive Strategies
Models that evolve with changing market conditions automatically.
Data Pipeline
Robust ingestion from multiple data sources with quality monitoring.
The companies that win in AI are building right now.
We work with a select number of clients at a time to ensure every engagement gets the focus it deserves. Every week you wait, your competitors are shipping. The best time to build was yesterday. The second best time is now.