Your AI Deserves Better Than a Proof of Concept.

We partner with businesses to design, build, and deploy production-grade AI systems. End-to-end product and systems development — from architecture through deployment. No agency overhead. No junior handoffs. Just senior engineering, applied directly to your hardest problems.

Our Mission

We exist to close the most expensive gap in AI.

Most businesses that invest in AI hit the same wall: the model works in a demo but never makes it to production. Prototypes get celebrated while the engineering needed to turn them into real products — data pipelines, deployment infrastructure, monitoring, reliability — gets underestimated or ignored.

We founded Koovis AI to solve that problem for businesses like yours. We bring the engineering rigor forged at the scale of global marketplaces and apply it to building the AI-powered products and systems your business actually needs.

We don't just build AI. We build AI-powered products and systems that drive real business results.

Proven Impact

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.

Why Us

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.

Who We Work With

Built for businesses that refuse to settle for demos.

We work best with companies that have a real problem, a clear ambition, and the willingness to invest in getting it right. If any of these sound like you, we should talk.

Building an AI-Powered Product

You have a product vision that requires ML at its core — recommendation engines, intelligent automation, NLP systems, computer vision. You need a senior engineering partner who’s built these at global scale.

Stuck Between Prototype and Production

Your team built a model that works in a notebook. Now you need the deployment infrastructure, monitoring, and production hardening that comes from shipping ML systems serving millions of users.

Need AI Strategy Before Committing

You’re exploring AI for your business but aren’t sure what’s feasible, what it’ll cost, or whether to build or buy. You need an honest technical assessment, not a sales pitch.

Scaling Without a Full ML Team

You’re too early to hire a dedicated data science team but too ambitious for off-the-shelf solutions. You need embedded AI engineering leadership that moves at the speed of your business.

Work With Us

Ready to build something exceptional?

We take on a limited number of consulting engagements at a time to ensure exceptional results. Tell us about your project — no obligation, no sales pitch. Just an honest assessment of how we can help.