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Open-source monitoring for machine learning models
Evidently AI has raised $1.0M across 1 funding round.
Key people at Evidently AI.
Evidently AI was founded in 2020 by Elena Samuylova (Founder) and Emeli Dral (Founder).
Evidently AI has raised $1.0M in total across 1 funding round.
We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.
Key people at Evidently AI.
Evidently AI was founded in 2020 by Elena Samuylova (Founder) and Emeli Dral (Founder).
Evidently AI has raised $1.0M in total across 1 funding round.
Evidently AI's investors include Atomico, DVC, Flashpoint, Fly Ventures, Phystech Ventures.
Evidently AI is an open-source software company specializing in monitoring and evaluating machine learning (ML) models in production to ensure reliability, transparency, and high performance. Their core product is a framework widely trusted by thousands of AI teams globally, with over 6,000 GitHub stars and 25 million downloads, serving diverse sectors such as e-commerce, fintech, banking, retail, and manufacturing. Evidently AI helps organizations running ML models—ranging from demand forecasting to marketing personalization—maintain model quality and deliver expected business value, addressing a critical need in AI operations (MLOps)[7][3].
Separately, Evidently, Inc. (distinct from Evidently AI) is a healthcare enterprise AI company founded in 2020 in Palo Alto, California. It builds cognitive AI platforms that automate clinical documentation, research, and population health tasks to empower clinicians with actionable insights, reduce burnout, and improve patient care. Its flagship product integrates directly into electronic health records (EHRs) to summarize and analyze vast clinical data, supporting thousands of clinicians daily across major health systems in the U.S.[1][2][5][6].
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Evidently AI was co-founded by Elena Samuylova, who has a decade of experience applying machine learning across industries including telecom, retail, and internet applications. The company is based in London with a distributed team across Europe and South America and operates fully remotely without office space. The idea emerged from the need to provide open-source tools that help companies monitor ML models in production, ensuring these models continue to perform as expected and deliver value[7].
Evidently, Inc. was founded in 2020 by Feng Niu and Jaeho Shin, combining deep expertise in AI, clinical research, and entrepreneurship. Feng Niu leads as CEO, focusing on transforming healthcare data into actionable insights through cognitive AI. The company evolved to address the overwhelming volume of clinical data clinicians face, building AI tools that integrate seamlessly into EHR workflows to reduce clinician burden and improve care quality. Early traction includes partnerships with major U.S. health systems deploying their AI chat interface embedded directly into EHRs[1][2][5].
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*Evidently AI (Open Source MLOps)*
*Evidently, Inc. (Healthcare AI)*
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Evidently AI rides the growing trend of MLOps and AI observability, critical as AI adoption expands and models become more complex and integral to business operations. The timing is crucial as organizations demand tools to monitor AI performance continuously to mitigate risks and ensure compliance. Evidently AI’s open-source approach aligns with the broader movement toward transparency and community-driven AI development, influencing the ecosystem by setting standards for AI reliability and operational best practices[3][7].
Evidently, Inc. operates at the intersection of AI and healthcare transformation, addressing the explosion of clinical data and the urgent need to reduce clinician burnout. The healthcare sector is undergoing digital evolution with increasing data volume and complexity, making AI-powered clinical data intelligence essential. Evidently’s integration into EHRs and focus on responsible AI positions it as a key player in advancing AI adoption in healthcare, improving patient outcomes and operational efficiency[1][2][5][6].
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For Evidently AI, the future likely involves expanding its open-source ecosystem, enhancing AI observability features especially for large language models (LLMs), and deepening integrations across industries. As AI systems grow more complex, Evidently AI’s role in ensuring trustworthy, transparent AI will become increasingly vital, potentially influencing regulatory frameworks and industry standards[3][4][7].
Evidently, Inc. is poised to deepen its impact in healthcare by scaling deployments of its AI chat interface and expanding AI-assisted tools that improve clinical workflows. Trends such as value-based care, AI governance, and responsible AI will shape its trajectory. Its influence may grow as it helps health systems harness AI to improve care quality, reduce burnout, and optimize revenue, reinforcing its leadership in clinical AI innovation[1][2][5][6].
Both entities, though distinct, exemplify the critical role of AI monitoring and intelligence in their respective domains, underscoring the broader imperative for trustworthy, effective AI solutions in complex real-world environments.
Evidently AI has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in September 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 25, 2021 | $1.0M Seed | Atomico, DVC, Flashpoint, Fly Ventures, Phystech Ventures |
