LLM evaluation advisory
Training, AI risk assessments, LLM evaluation support, and tailored solutions.
Contact uswho we are
We are the team behind Evidently
Evidently is an open-source framework for evaluating and monitoring AI systems, trusted by thousands of AI teams around the world. Our mission is to help teams build reliable, transparent, and high-performing AI applications.
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who we are
We are the team behind Evidently
We created Evidently — an open-source framework for evaluating and monitoring AI systems, trusted by thousands of AI teams around the world.
Our mission is to help teams build reliable, transparent, and high-performing AI applications.
Beyond the tools, we work hands-on with companies to set up robust LLM evaluation workflows, stress-test for risk, and enable internal teams — drawing on deep, practical experience in LLM evaluation, risk testing, and AI production monitoring.
Our mission is to help teams build reliable, transparent, and high-performing AI applications.
Beyond the tools, we work hands-on with companies to set up robust LLM evaluation workflows, stress-test for risk, and enable internal teams — drawing on deep, practical experience in LLM evaluation, risk testing, and AI production monitoring.
what we offer
End-to-end solutions
We partner with AI product teams, AI/ML platform engineers, and compliance leaders to make LLM evaluation practical and actionable — at every stage of development.
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AI risk assessment
Identify technical, operational, and safety risks specific to your product and industry.
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LLM evaluation setup
Design your Gen AI evaluation framework and set up custom evaluation workflows and metrics.
AI agent and RAG testing
Validate RAG pipelines to reduce hallucinations, and test multi-step agents to ensure correctness and reliability.
AI risk testing
Design and implement red-teaming and adversarial tests -- from jailbreaks to PII leakage.
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AI system improvement
Apply eval-driven development practices to iteratively enhance AI system quality and foster collaboration between engineers and domain experts.
LLM-as-a-judge
Integrate LLM-as-a-judge methods: create custom LLM evaluators and align them with human judgement.
education
Training and enablement
LLM evaluation is as much about process as it is about tools. To be effective, teams need more than a platform – they need clear workflows, shared practices, and a strong understanding of how and why to evaluate.
We help teams put the right processes in place to make LLM evaluation meaningful, actionable, and aligned with product goals.
We’ve created widely used open resources, including:
We help teams put the right processes in place to make LLM evaluation meaningful, actionable, and aligned with product goals.
We’ve created widely used open resources, including:
LLM Evals for Product Teams
An introductory course on evaluating LLM-powered products for AI leaders and product teams. No coding knowledge required.
LLM Evals for Builders
Applied course with 10 hands-on code tutorials. From designing custom LLM judges to RAG evaluations and adversarial testing.
LLM Quality Guide
A comprehensive guide covering evaluation strategies, judgment methods, risk assessments, and process design.
education
LLM evals masterclass
We can bring our expertise directly to your team through a tailored masterclass.
Monthly Billing
Yearly Billing
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LLM evaluation for leaders
Executive sessions on AI risk, governance, and strategy.
We help leaders understand the role of evaluation in making GenAI adoption safe, effective, and aligned with business goals.
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Why LLM evaluation matters
Where the AI risks are
How to design effective oversight
Includes key LLM concepts, evaluation workflows, and decision frameworks tailored to your organization.
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LLM evaluation for builders
Practical sessions on evaluating LLM systems.
A hands-on deep dive for AI/ML and data teams to design and run meaningful evaluations.
LLM evaluation methods and metrics
Hands-on code workflows
Implementation tailored to your product type
Includes live examples and tooling patterns to bring evaluation into your development cycle.
use cases
Who we work with
We support teams across industries and maturity levels — from fast-moving startups to platform teams at large enterprises.
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AI product teams
launching LLM-based assistants, copilots, or agents.
Platform teams
building internal evaluation tooling or monitoring platforms.
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AI governance leaders
shaping LLM risk and compliance strategies.
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Executives
crafting their GenAI strategy and looking for expert input.
Let's talk — reach out to discuss your needs
© 2025, Evidently AI. All rights reserved.
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