# ML platforms & training data tools used by Insurance & InsurTech companies usedby lists 16 Insurance & InsurTech companies using 6 ML platforms & training data tools. The most used is H2O.ai: 7 of the 16 Insurance & InsurTech companies on usedby, every proof level counted. These are counts of the companies usedby tracks, not a market share. Data as of 2026-10-24. ## Ranking Tools ranked by the companies of the 16 Insurance & InsurTech companies on usedby that use them. Each company counts once per tool, at its strongest proof. Ties go to more confirmed, then declared, then observed companies. | # | Tool | Companies | Confirmed | Declared | Observed | Job posts only | Last check | |---|---|---|---|---|---|---|---| | 1 | [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md) | 7 | 1 | 0 | 6 | 0 | 2026-10-24 | | 2 | [Dataiku](https://www.usedby.ai/tools/dataiku.md) | 3 | 0 | 0 | 3 | 0 | 2026-10-20 | | 3 | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | 3 | 0 | 0 | 3 | 0 | 2026-10-19 | | 4 | [Domino Data Lab](https://www.usedby.ai/tools/domino-data-lab.md) | 2 | 1 | 0 | 1 | 0 | 2026-10-21 | | 5 | [Labelbox](https://www.usedby.ai/tools/labelbox.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-17 | | 6 | [Encord](https://www.usedby.ai/tools/encord.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-19 | ## Customers per tool Every line is a customer, at one of three proof levels: confirmed (a case study, a named quote, a press release, or the company's own public account of using the tool (its own site, or a post by one of its executives, VP or above)), observed (the vendor shows the company on its own pages) or signal (a job post shows the company's employees use the tool, the weakest proof). A line the company declared to usedby itself is marked declared. A signal is never a case study or a vendor listing. Strongest proof first. "Last check" is the later of the line's re-verification and its latest capture. | Tool | Company | Proof | Source | Last check | |---|---|---|---|---| | H2O.ai | [IFFCO-Tokio](https://www.usedby.ai/companies/iffco-tokio.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/iffco-tokio-h2o), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Nationwide](https://www.usedby.ai/companies/nationwide.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Jewelers Mutual](https://www.usedby.ai/companies/jewelers-mutual.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Progressive](https://www.usedby.ai/companies/progressive.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [State Farm](https://www.usedby.ai/companies/state-farm.md) | Observed | [h2o.ai](https://h2o.ai/), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Tokio Marine](https://www.usedby.ai/companies/tokio-marine.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | H2O.ai | [Zurich Insurance](https://www.usedby.ai/companies/zurich-insurance.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 | | Dataiku | [Aviva](https://www.usedby.ai/companies/aviva.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 | | Dataiku | [OHRA](https://www.usedby.ai/companies/ohra.md) | Observed | [dataiku.com](https://www.dataiku.com/), captured 2026-10-20 | 2026-10-20 | | Dataiku | [Zurich Insurance](https://www.usedby.ai/companies/zurich-insurance.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 | | DataRobot | [Aon](https://www.usedby.ai/companies/aon.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 | | DataRobot | [CNO Financial Group](https://www.usedby.ai/companies/cno-financial-group.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 | | DataRobot | [Pacific Life](https://www.usedby.ai/companies/pacific-life.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 | | Domino Data Lab | [Allstate](https://www.usedby.ai/companies/allstate.md) | Confirmed | [domino.ai](https://domino.ai/customers/allstate), captured 2026-10-07 | 2026-10-21 | | Domino Data Lab | [Helvetia](https://www.usedby.ai/companies/helvetia.md) | Observed | [domino.ai](https://domino.ai/customers), captured 2026-10-07 | 2026-10-21 | | Labelbox | [CAPE Analytics](https://www.usedby.ai/companies/cape-analytics.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/cape-analytics/), captured 2026-10-07 | 2026-10-17 | | Encord | [Axa](https://www.usedby.ai/companies/axa.md) | Observed | [encord.com](https://encord.com/pricing/), captured 2026-10-19 | 2026-10-19 | ## Method Public customer lines of active ML platforms & training data tools at companies classified in Insurance & InsurTech. No software vendor had to be left out. Company mix by strongest proof: 3 confirmed, 0 declared, 13 observed and 0 signals. ## Questions ### Which ML platforms & training data tools do Insurance & InsurTech companies use most? H2O.ai leads: 7 of the 16 Insurance & InsurTech companies on usedby that use ML platforms & training data tools use it. Next: Dataiku (3), DataRobot (3), Domino Data Lab (2), and Labelbox (1). ### How many Insurance & InsurTech companies use ML platforms & training data tools? 16 Insurance & InsurTech companies on usedby use at least one of 6 ML platforms & training data tools. It counts the companies usedby tracks. ### What proof backs these lines? Of the 16 companies, each counted at its strongest proof: 3 confirmed, 0 declared, 13 observed and 0 known from a job post. ### How does usedby build this ranking? usedby counts each Insurance & InsurTech company once per tool, from public proof: case studies, press releases, the company's own site or its declaration to usedby, vendor customer pages and job posts. Every line shows its proof and the date usedby last checked it. Industry page: https://www.usedby.ai/companies/industry/insurance-insurtech.md · Category page: https://www.usedby.ai/tools/category/ml-ops-training.md --- Source: https://www.usedby.ai/companies/industry/insurance-insurtech/ml-ops-training · How we check: https://www.usedby.ai/methodology