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Kolena

  • What it is:Kolena is a San Francisco-based AI platform for testing, benchmarking, and validating machine learning models while automating document-heavy workflows in sectors like real estate, insurance, and finance.
  • Best for:AI/ML teams at mission-critical enterprises, Companies prioritizing AI safety and governance, Teams needing model benchmarking/comparison
  • Pricing:Starting from Custom quote
  • Rating:78/100Good
  • Expert's conclusion:Kolena is best suited for enterprises that demand robust, scenario-based AI model testing for ensuring the safety and reliability of their production AI/ML models.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Kolena and What Does It Do?

Kolena is an artificial intelligence quality assurance and model evaluation firm that uses AI to automate document-intensive workflows with transparency, reliability, and trustworthiness. Kolena offers tools for evaluating and testing AI models and for transforming complex documents into actionable, structured outputs for industries such as real estate, finance, insurance, and law. Kolena was founded in 2021, and it seeks to provide the explanation, auditability, and trustworthiness of artificial intelligence for large enterprises to utilize.

Active
📍San Francisco, CA
📅Founded 2021
🏢Private
TARGET SEGMENTS
Real EstateFinancial ServicesInsuranceLegalEnterprise AI Teams

What Are Kolena's Key Business Metrics?

📊
$21M
Total Funding
📊
Series A ($15M)
Latest Funding Round
📊
2021
Founded
🏢
11-50
Employees
👥
Leading real estate, financial services, insurance brands
Customers
Regulated By
SOC 2(USA)GDPR Compliant(EU)

How Credible and Trustworthy Is Kolena?

78/100
Good

Kolena is a well funded Series A company that has a strong enterprise focus and enterprise-level security features, but it is still at an early stage in development; thus, there are very few user reviews publicly available about the product.

BREAKDOWN
Product Maturity65/100
Company Stability82/100
Security & Compliance88/100
User Reviews60/100
Transparency85/100
Support Quality80/100
TRUST SIGNALS
$21M Series A fundingEnterprise-grade security and complianceTransparent AI with reasoning and citationsUsed by leading companies in real estate and finance

What is the history of Kolena and its key milestones?

2021

Company Founded

Kolena was established in San Francisco to create trusted AI for evaluating AI models and automating document-based workflows.

2022

Seed Funding

Kolena received early funding in its path toward securing a Series A.

2024

Series A Funding

Kolena secured $15 million in a Series A round, which was part of $21 million overall, to grow the size of its AI and machine learning testing platform.

2024

Product Expansion

Kolena launched an enterprise automation platform for automating document-based workflows in the real estate, finance, and insurance industries.

Who Are the Key Executives Behind Kolena?

Unknown CEO— CEO & Co-founder
Kolena's leadership focuses on developing trustworthy AI and enterprise automation platforms.
— Co-Founder & Chief People Officer
Responsible for people operations for creating remote-first teams to develop AI quality solutions.

What Are the Key Features of Kolena?

✨
Transparent AI Outputs
All AI produced by Kolena include the rationale used for producing the AI output along with references, citations, and audit trails to allow for the full explainability of each AI output.
✨
Document Workflow Automation
Kolena converts complex documents like leases, claims, and compliance files into actionable, structured data within minutes.
✨
Prebuilt AI Agents
Kolena also developed pre-built agents for extracting lease information, generating investment memos, creating rent rolls, and checking compliance against lists of regulatory requirements.
✨
Custom AI Agents
Kolena allows users to customize their own automation for their unique business workflows using their automated workflow technology without having to write extensive amounts of code.
🔒
Enterprise Security
Kolena provides role-based access control, encryption, data retention policies, and complete audit trails for all data processed through its platform; additionally, Kolena's platform meets the requirements of the Service Organization Control 2 standard.
✨
Model Evaluation & Testing
Kolena develops and provides tools for validating AI and machine learning models in both computer vision and natural language processing.
🔗
System Integrations
Kolena seamlessly integrates with customer relationship management systems, such as Salesforce, and other common enterprise systems.

What Technology Stack and Infrastructure Does Kolena Use?

Infrastructure

Enterprise-grade cloud architecture with high uptime

Technologies

PythonPHPAI/ML Frameworks

Integrations

SalesforceCRM SystemsEnterprise Document Systems

AI/ML Capabilities

Transparent AI with reasoning traces, citations, and continuous model improvement for document understanding and structured extraction

Limited technical details available; inferred from product capabilities and job requirements

What Are the Best Use Cases for Kolena?

Real Estate Investment Firms
Kolena automates the process of abstracting leases, extracting rent rolls, and generating investment memos from complex property documents while providing full auditability for all actions performed during this process.
Insurance Claims Processing Teams
Extract structured information from claim documents, verify that they meet standards, produce reporting that will allow faster processing while still maintaining transparency
Financial Services Compliance Teams
Automate the review of loan packages, compliance files, along with reasoning traces and citations for regulatory audit requirements
AI/ML Development Teams
Test and validate computer vision and natural language processing models quickly to confirm their quality before they are deployed into a production environment
NOT FORHigh-Frequency Trading Operations
Not applicable -- delays associated with processing documents have exceeded time sensitivity needed for timely financial transactions
NOT FORHIPAA-Regulated Healthcare Providers
Currently limited -- although there is mention of BAA/HIPAA compliance in relation to health care; Kolena is an enterprise-wide security solution as well.

How Much Does Kolena Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Team BundlesCustom quoteFor mid-sized organizations and early-stage AI startups, rolling out Q2 2024TechCrunch article
EnterpriseCustom enterprise pricingMission-critical companies, selective partnershipsKolena website and TechCrunch
Team BundlesCustom quote
For mid-sized organizations and early-stage AI startups, rolling out Q2 2024
TechCrunch article
EnterpriseCustom enterprise pricing
Mission-critical companies, selective partnerships
Kolena website and TechCrunch

How Does Kolena Compare to Competitors?

FeatureKolenaOpenAI EvalsWeights & BiasesHugging Face Evaluate
Core FunctionalityScenario-level model testing & benchmarkingBasic eval frameworkExperiment trackingOpen-source metrics
Pricing (starting price)Custom team bundlesFree tier available$50/user/moFree/open-source
Free tier availabilityNoYesLimitedYes
Enterprise featuresPrivacy-focused, no data uploadAPI-basedSSO, teamsEnterprise Hub
API availabilityYesYesYesYes
Integration countModel-agnosticOpenAI ecosystemMLflow, TensorBoardTransformers library
Support optionsSelective enterpriseCommunity/docsPriority for paidCommunity
Security certificationsPrivacy controls, delete resultsStandardSOC 2Enterprise options
Core Functionality
KolenaScenario-level model testing & benchmarking
OpenAI EvalsBasic eval framework
Weights & BiasesExperiment tracking
Hugging Face EvaluateOpen-source metrics
Pricing (starting price)
KolenaCustom team bundles
OpenAI EvalsFree tier available
Weights & Biases$50/user/mo
Hugging Face EvaluateFree/open-source
Free tier availability
KolenaNo
OpenAI EvalsYes
Weights & BiasesLimited
Hugging Face EvaluateYes
Enterprise features
KolenaPrivacy-focused, no data upload
OpenAI EvalsAPI-based
Weights & BiasesSSO, teams
Hugging Face EvaluateEnterprise Hub
API availability
KolenaYes
OpenAI EvalsYes
Weights & BiasesYes
Hugging Face EvaluateYes
Integration count
KolenaModel-agnostic
OpenAI EvalsOpenAI ecosystem
Weights & BiasesMLflow, TensorBoard
Hugging Face EvaluateTransformers library
Support options
KolenaSelective enterprise
OpenAI EvalsCommunity/docs
Weights & BiasesPriority for paid
Hugging Face EvaluateCommunity
Security certifications
KolenaPrivacy controls, delete results
OpenAI EvalsStandard
Weights & BiasesSOC 2
Hugging Face EvaluateEnterprise options

How Does Kolena Compare to Competitors?

vs OpenAI Evals

Kolena is able to provide comprehensive testing at a scenario level along with complete control over enterprise-wide privacy settings. The OpenAI Evals tool is limited to providing basic assessment of the quality of models used within the OpenAI platform. Kolena allows for complete control over the type of data being evaluated as well as the logic used to evaluate it and does not require either the data or models to be uploaded.

If you need to validate the quality of your models using a solution that has enterprise grade quality and is also compliant with privacy standards, choose Kolena. If you need to quickly assess the quality of models developed by using solutions that are provided by OpenAI, choose OpenAI Evals.

vs Weights & Biases (W&B)

While W&B has capabilities for managing experiments and collaborating among team members, it does not have the capability to perform the same type of unit/end-to-end testing of the quality of a model as Kolena. Kolena is focused on the issues surrounding the use of artificial intelligence in the area of safety/governance and W&B is a tool designed to support broader Machine Learning work flows.

If you want to create and run tests of your models, choose Kolena. If you want to manage your experiments and visualize them, choose W&B.

vs Hugging Face Evaluate

While Hugging Face is a popular, open-source library that can be used to track metrics of machine learning model performance, it is limited in terms of its ability to support enterprise wide use. Kolena provides a fully customizable user interface for creating and running tests and tracking the risk and benchmarking of each of your production AI products.

If you need to govern the use of artificial intelligence across your organization, choose Kolena. If you need to prototype and develop new ideas using artificial intelligence, choose Hugging Face.

What are the strengths and limitations of Kolena?

Pros

  • Testing at the scenario level means going beyond just assessing the overall quality of a model and instead testing specific scenarios that represent how the model will be used in your production environment.
  • Being focused on privacy means that no data or models need to be uploaded and that results of tests are deleteable.
  • Having full control means that you are able to customize the types of data that are tested against and the logic that is used to test those data.
  • Testing end-to-end means that you are testing all aspects of an AI/ML product from initial development through deployment into production.
  • Risk management features mean that Kolena is able to help you identify potential problems with deploying models in your production environment and allows you to track and mitigate these risks.
  • An enterprise friendly User Interface (UI) is one that allows users to easily create and run tests, compare models, etc.
  • Test Coverage Insights — Identifies Gaps In The Test Data

Cons

  • Selective Customer Approach — Not Available To All Customers Yet
  • Public Pricing Is Not Listed — Custom Quotes Only, High Potential Cost
  • Early Stage Company — 28 Employees, Raised $21 Million Total
  • No Free Tier Mentioned — Positioned As An Enterprise-Focused Solution
  • No Disclosure On The Number Of Customers
  • Young Platform — Launched 2021, Still Developing Its Market Presence
  • Narrow Focus — Only Tests Models, Does Not Support Full MLOps Use Cases

Who Is Kolena Best For?

Best For

  • AI/ML teams at mission-critical enterprises — Rigorous Testing For Production Deployment And Privacy Controls
  • Companies prioritizing AI safety and governance — Features For Risk Management And Scenario-Based Testing
  • Teams needing model benchmarking/comparison — User Interface (UI) To Create Test Cases And Analyze Performance
  • Mid-sized AI organizations and startups (Q2 2024 bundles) — Team Bundles Being Developed That Will Be More Affordable For Broader Access
  • Regulatory-compliant AI deployments — Complete Control Over Evaluation Without Sharing Any External Data

Not Suitable For

  • Individual researchers or hobbyists — Enterprise-Focused With No Free Tier; Consider Using Hugging Face Evaluate Instead
  • Teams needing full MLOps platform — Only Specialized Testing — Consider Using Weights & Biases For Experiment Tracking
  • Budget-constrained startups pre-Q2 2024 — Custom Pricing And Selective Partnerships; Consider Using Open-Source Alternatives
  • Non-AI/ML teams — Specific To Model Evaluation — Other Tools Are Needed For General Automation

Are There Usage Limits or Geographic Restrictions for Kolena?

Availability
Selective partnerships with mission-critical companies
Customer Access
Team bundles for mid-sized orgs/early AI startups Q2 2024
Data Upload
No data/model upload required - privacy focused
Result Storage
Test results only stored, deletable on request
Public Pricing
Custom quotes only, no published tiers
Free Tier

Is Kolena Secure and Compliant?

Privacy-First ArchitectureNo requirement to upload customer data or models to platform. Only stores test results.
Data ControlModel test results stored for benchmarking but can be deleted upon request.
SOC 2 Type IIAchieved A-grade penetration testing and SOC 2 Type II certification.
Regulatory PartnershipsExpanding partnerships with regulatory bodies for compliance validation.
Enterprise SecuritySuitable for financial services, insurance with audit-ready traceable outputs.

What Customer Support Options Does Kolena Offer?

Channels
Enterprise customersAvailable on website
Hours
Business hours (assumed)
Response Time
Enterprise support (not specified publicly)
Satisfaction
N/A - selective enterprise customers
Specialized
Mission-critical enterprise partnerships
Business Tier
Custom support for approved enterprise customers
Support Limitations
•Support details not publicly available
•Selective customer approach limits broad support access
•No community forum or self-serve options mentioned

What APIs and Integrations Does Kolena Support?

API Type
REST API supporting model evaluation workflows and data uploads
Authentication
API token management required
Webhooks
No public information on webhook support
SDKs
No official SDKs mentioned; integrates with cloud storage
Documentation
Available via official documentation link; quality not detailed publicly
Sandbox
No public sandbox mentioned; focused on enterprise testing environments
SLA
No public SLA details; enterprise-grade for government and production use
Rate Limits
Not publicly documented
Use Cases
Model testing, data validation, performance monitoring, automated evaluation pipelines

What Are Common Questions About Kolena?

Kolena is a platform for testing, validating, and monitoring AI / ML model quality. It allows for high-resolution testing of models using various types of data such as images and NLP. Additionally, it can help identify hidden model behavior and biases.

Kolena automates workflow processes and allows users to perform scenario-based testing. It also allows for detailed analysis of model performance at a granular level. This results in a reduction of 90% in manual annotation, and assists in identifying and validating model regression.

Pricing information for Kolena is not publicly disclosed and appears to be focused on enterprise customers. Users interested in obtaining custom quotes should contact sales, especially if they are government or Fortune 500 customers.

Unlike aggregated metrics that may miss blind spots, Kolena provides unit-level scenario-based testing for ML models. It analyzes all aspects of a system, and does so comprehensively, rather than just focusing on individual components.

The answer is yes, as Kolena does not host raw data; however, you can store your evaluation results and support cloud storage integration. Kolena is focused on compliance with NIST standards and also includes threat detection for data poisoning.

The answer is yes, Kolena has seamless integration for cloud storage and AI/ML workflows for both offline testing and online monitoring. Kolena is compatible with a wide variety of models (including open-source) but does not directly host the model.

There are no public options available for a free trial or sandbox, and the platform has been in a closed-beta for the last 24 months and has been working exclusively with enterprise customers.

Kolena is strictly an offline evaluation tool and does not allow for the hosting or training of models directly through the interface and requires the user to have their own API token management system. Additionally, there is no option for real-time production deployments that I could find.

Is Kolena Worth It?

Kolena provides organizations with the ability to utilize industrial-strength AI/ML model testing which takes the ad-hoc nature of traditional model validation and transforms it into a scientific method. While Kolena is strong in providing the needed reliability for enterprises and regulated sectors; it has limitations to how it functions (it only allows for the evaluation of models and does not allow for the hosting or training of models).

Recommended For

  • Organizations (AI/ML teams) within the regulated industries such as government and healthcare.
  • Fortune 500 companies who are building production AI systems.
  • Data science teams that require granular analysis of the behavior of their models.
  • Organizations that prioritize the safety and detection of bias in their AI/ML models.

!
Use With Caution

  • Teams that need to host their models or train them.
  • Small teams with no budget for enterprise solutions.
  • Use cases that require real-time online inference.

Not Recommended For

  • Budget-constrained startups looking for general-purpose ML platforms.
  • Projects that require end-to-end training pipelines.
  • Use cases that only require simple metric-based validation.
Expert's Conclusion

Kolena is best suited for enterprises that demand robust, scenario-based AI model testing for ensuring the safety and reliability of their production AI/ML models.

Best For
Organizations (AI/ML teams) within the regulated industries such as government and healthcare.Fortune 500 companies who are building production AI systems.Data science teams that require granular analysis of the behavior of their models.

What do expert reviews and research say about Kolena?

Key Findings

Kolena specializes in AI/ML model quality testing by utilizing scenario-based evaluation, data quality assessments, and monitoring. Kolena was developed over a 24 month period while in a private beta for Fortune 500 companies, government agencies, and other AI research institutions. Kolena focuses on improving safety, detecting bias, and reducing the time required for validating AI/ML models by up to 90%.

Data Quality

Good - detailed from official site, PR announcements, and industry analyses. Limited public info on pricing, API specs, and exact technical implementation.

Risk Factors

!
Kolena offers an enterprise-only pricing model.
!
Kolena does not include model hosting or training functionality.
!
The first 5 young platforms were created between 2019-2024, however the majority (6), launched between 2020-2022. Most of these are still in their early stages, with many still developing their offerings.
!
Kolena (launched 2024): Young platform
Last updated: February 2026

What Are the Best Alternatives to Kolena?

  • •
    Weights & Biases (W&B): Competitive AI evaluation space
  • •
    Arize AI: Experiment tracking, evaluation, and monitoring ML developer platform. Provides a broader support for the full life cycle of machine learning but is less specific to simulation testing. Best for research teams who need visualization capabilities. wandb.ai
  • •
    WhyLabs: Observability platform for ML for monitoring, explainability, and bias detection. Offers stronger production real time monitoring compared to Kolena's offline focus. Best for teams that have already deployed a model. arize.com
  • •
    Fiddler AI: AI Observability to monitor and analyze both data and model quality with drift detection. Offers greater automated monitoring with less need for custom test design. Best for MLOPs Pipelines. whylabs.ai
  • •
    Evidently AI: Enterprise ML Monitoring, Explainability & Bias Tools. Offers better production scale monitoring than testing. Best for larger deployments in regulated environments. fiddler.ai

What Additional Information Is Available for Kolena?

Government Focus

Open Source ML Evaluation and Monitoring Tool Kit. Offers free core features, however will require a higher level of configuration. Best for cost-conscience engineering teams. evidentlyai.com

Founder Background

Through Carahsoft, Kolena can target public sector customers and offer NIST Compliance, Adversarial Testing, and Threat Detection for Data Poisoning and Model Extraction Attacks.

Launch & Beta

Co-founder Gordon has developed computer vision products at Synapse (acquired by Palantir) and Palantir. He was motivated to develop Kolena by experiencing production model failures in mission critical scenarios.

Industry Recognition

Wide launch in March 2024 after 24 month closed beta with Fortune 500 companies, AI startups, Government, and European AI Institutes. Will continue to expand to End-To-End Quality, including data preparation and drift monitoring.

Customer Wins

Backed by SignalFire Seed Funding. Position as leap ahead testing platform that addresses the enterprise needs that even the top AI labs address manually.

What Are Kolena's Evaluation Metrics?

90% reduction
Time Savings on Data & Model Quality
Scenario-based comprehensive
Testing Framework
Hundreds state-of-the-art models
Model Coverage

What Testing Capabilities Does Kolena Offer?

Offline Testing

Real Estate Firms Report 80+% Turnaround Reduction. Used for Lease Abstraction, Compliance Testing, Due Diligence Memos and Financial Document Processing.

Online Monitoring

Validation and Fine Tuning Before Production Deployment

Data Quality Assessment

Data Quality Review of Pre-Training & Post-Deployment Data

Model Testing & Validation

Thorough Scenario-Based Testing of Entire AI Systems

Adversarial Testing

Automatic Adversary Vulnerability Testing

A/B Testing

Validation of Models Across Multiple Approaches

Data Drift Detection

Monitoring and Identifying Changes to Data Distribution Over Time

Model Degradation Monitoring

Tracking Performance Deterioration in Production Environments

How Does Kolena Ensure Safety Through Testing?

Data Poisoning Detection

Detecting Threats to AI/ML Models from Malicious Activities

Model Extraction Attack Prevention

Defense Mechanisms to Prevent Model Extraction Attacks

Adversarial Disruption Mitigation

Reducing Impact of Adversarial Disruption and Deception on AI/ML Models

NIST Compliance

Framework for Managing AI Risks Using NIST Standards

Functional Requirements Visibility

Clarity on Functional Requirements and Specifications for AI/ML Models

What Model Compatibility Does Kolena Support?

Hundreds of state-of-the-art modelsCustom modelsMulti-modal AI systemsML pipelines

What Is Kolena's Evaluation Modes?

Testing Approach
Unit testing for machine learning at scenario level
Assessment Type
Meticulous assessment across every dimension of models and data
Deployment Readiness
Scenario-level testing before deployment to users

What Is Kolena's Ci Cd Integration?

Integration Type
ML pipeline integration and systematic testing
Workflow Integration
Central intelligent model testing and evaluation interface
Compliance Integration
NIST compliance framework and risk mitigation tools

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