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Precision over hype

We build AI systems that work in production — not just in demos. Measurable outcomes, reliable infrastructure, models that improve every quarter.

Our Story

Built by engineers, for engineers

KORVA was founded in 2018 by a team of ML engineers who were tired of watching AI projects fail in production. The industry was full of impressive demos and broken deployments.

We built KORVA on one principle: if it doesn't work in production, it doesn't work at all. Every project starts with a success metric. Every model is validated against real-world data. Every deployment includes monitoring, drift detection, and retraining pipelines.

Today, we maintain 127 deployed models across 34 enterprise clients — with a 99% uptime SLA and an average time-to-production of 8 weeks.

Operating Principles

How we think

Outcomes Over Output

We don't measure success by lines of code or models trained. We measure by business impact — cost saved, revenue generated, time reduced.

Production First

Every architecture decision is made with production in mind. Latency budgets, failure modes, scaling limits —这些问题 are designed for, not discovered after.

Transparent Process

You see every experiment, every result, every decision. No black boxes, no magic. We explain what we're doing and why — in plain language.

Continuous Improvement

A model's first deployment is not the finish line. We build retraining pipelines, monitor drift, and optimize performance every quarter.

Team

The people behind the models

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Elena Vasquez

CEO & Co-Founder

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James Okafor

CTO & Co-Founder

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Priya Sharma

Head of ML

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Marcus Chen

Head of Infrastructure

Join Us

Build precision intelligence

We're always looking for engineers who care about outcomes, not just models.

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