Kolena

Kolena

ML model testing and validation platform

Overview

Kolena is a machine learning testing platform that helps ML teams rigorously evaluate model behavior by identifying and tracking failure modes, delivering insights to engineers, leaders, and customers. It works by providing a subscription-based service where users run evaluations, collect failure modes, and generate dashboards and reports that reveal performance gaps and stability issues across different scenarios. Kolena differentiates itself by focusing on end-to-end ML testing and governance, offering structured failure-mode analysis and time-based tracking to communicate risk to both technical and non-technical stakeholders. Its goal is to improve the reliability and performance of ML models, supporting better decision-making and operational efficiency for organizations that rely on ML in production.

About Kolena

Simplify's Rating
Why Kolena is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$19.7M

Headquarters

San Francisco, California

Founded

2021

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Simplify's Take

What believers are saying

  • SOC 2 Type 1 certification attracts Fortune 500 and government clients.
  • Supports John Deere and Rad AI in mission-critical robotics applications.
  • $15M funding from Lobby Capital expands research and sales teams.

What critics are saying

  • Google Vertex AI commoditizes testing within cloud ecosystems immediately.
  • Evidently AI erodes subscription revenue with free failure detection tools.
  • MLCommons benchmarks in May 2026 bypass proprietary platforms entirely.

What makes Kolena unique

  • Kolena delivers scenario-level unit and end-to-end testing for ML models.
  • Test Case Studio detects failure modes and regressions in computer vision and LLMs.
  • Founders from Amazon and Palantir built enterprise-grade model quality framework.

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Funding

Total Funding

$19.7M

Meets

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Meet Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$15M
Kolena
$30M
Kalshi

Benefits

Health benefits

Unlimited PTO

Month stipends

Flexible work environment

Company offsites

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-2%

2 year growth

2%
TechCrunch
Sep 26th, 2023
Kolena, A Startup Building Tools To Test Ai Models, Raises $15M

Kolena, a startup building tools to test, benchmark and validate the performance of AI models, today announced that it raised $15 million in a funding round led by Lobby Capital with participation from SignalFire and Bloomberg Beta.The new cash brings Kolena’s total raised to $21 million, and will be put toward growing the company’s research team, partnering with regulatory bodies and expanding Kolena’s sales and marketing efforts, co-founder and CEO Mohamed Elgendy told TechCrunch in an email interview.“The use cases for AI are enormous, but AI lacks trust from both builders and the public,” Elgendy said. “This technology must be rolled out in a way that makes digital experiences better, not worse. The genie isn’t going back in the bottle, but as an industry we can make sure we make the right wishes.”Elgendy launched Kolena in 2021 with Andrew Shi and Gordon Hart, with whom he’d worked for around six years at AI divisions within companies including Amazon, Palantir, Rakuten and Synapse. Through Kolena, the trio sought to build a “model quality framework” that delivered unit testing and end-to-end testing for models in a customizable, enterprise-friendly package.“First and foremost, we wanted to provide a new framework for model quality — not just a tool that simplifies current approaches,” Elgendy said. “Kolena makes it possible to continuously run scenario-level or unit tests. It also provides end-to-end testing of the entire AI and machine learning product, not just sub-components.”To this end, Kolena can provide insights to identify gaps in AI model test data coverage, Elgendy says

Kolena
Apr 3rd, 2023
Kolena Partners with AI Accelerator Institute for the 2023 AI Accelerator and Computer Vision Summits

Kolena is teaming up with AI Accelerator Institute for their upcoming AI Accelerator Summit & Computer Vision Summit in San Jose on April 26-27, 2023.

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