List of Artificial Labs Platform Customers
London, EC4M 9AL,
United Kingdom
Since 2010, our global team of researchers has been studying Artificial Labs Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Artificial Labs Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Artificial Labs Platform for ML and Data Science Platforms include: Chaucer Group, a United Kingdom based Insurance organisation with 500 employees and revenues of $336.0 million, Lockton, a United States based Insurance organisation with 400 employees and revenues of $300.0 million, Chaucer Plc, a United Kingdom based Insurance organisation with 500 employees and revenues of $139.0 million, Bms Group, a United Kingdom based Insurance organisation with 179 employees and revenues of $81.0 million and many others.
Contact us if you need a completed and verified list of companies using Artificial Labs Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Artificial Labs Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bms Group | Insurance | 179 | $81M | United Kingdom | Artificial Labs | Artificial Labs Platform | ML and Data Science Platforms | 2023 | n/a |
In 2023, Bms Group partnered with Artificial Labs and adopted the Artificial Labs Platform to deploy its Contract Builder capability for digital contract creation and broker placing workflows in the London market. This implementation addresses Apps Category .
The initial rollout began in February 2024 and focused on the Artificial Labs Platform Contract Builder and embedded data extraction functions to standardize contract drafting and improve placement efficiency for broking operations. The vendor reports pilots delivered up to ~50% reductions in contract creation time, and governance was structured around staged pilots and incremental broker workflow adoption within placement teams to validate the contract building and data extraction use cases.
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Chaucer Group | Insurance | 500 | $336M | United Kingdom | Artificial Labs | Artificial Labs Platform | ML and Data Science Platforms | 2020 | n/a |
In 2020, Chaucer Group partnered with Artificial Labs to deploy the Artificial Labs Platform for underwriting in the UK London market. The engagement concentrated on digitising quote, bind and issue processes for high-volume specialty products and embedding machine-learning-enabled algorithmic underwriting to support faster decisioning. The implementation explicitly targeted Chaucer Group's underwriting function to improve responsiveness and speed to market.
The Artificial Labs Platform was configured to operationalise algorithmic underwriting models alongside digital workflow orchestration for the quote, bind and issue lifecycles. Functional modules implemented included automated decisioning and rules-driven policy issuance workflows, with controls for exception routing to underwriters and preservation of manual underwriting authority. The deployment focused on scalable digital underwriting workflows consistent with underwriting category capabilities.
Operational rollout was executed in the UK London market and applied to underwriting teams managing specialty lines, with governance framed around model management, decisioning controls and workflow change approvals. Process changes redefined handoffs between automated decisioning and manual review to maintain oversight during algorithmic underwriting. The platform was intended to improve underwriting responsiveness and speed to market while enabling more scalable digital underwriting workflows.
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Chaucer Plc | Insurance | 500 | $139M | United Kingdom | Artificial Labs | Artificial Labs Platform | ML and Data Science Platforms | 2020 | n/a |
In 2020 Chaucer Plc partnered with Artificial Labs to deploy the Artificial Labs Platform as an Artificial Intelligence underwriting system for high-volume specialty insurance products. The collaboration was scoped to digitise Chaucer’s quote, bind and issue workflows, combining Chaucer’s underwriting expertise with machine learning driven risk selection and pricing models delivered through the Artificial Labs Platform.
The implementation centered on a quote-to-issue application architecture, with a configurable quoting engine, automated binding and policy issuance workflows, and embedded machine learning scoring for risk selection and pricing. Chaucer configured the Artificial Labs Platform to support underwriter decisioning and broker-facing quote responsiveness, aligning UI workflows to underwriting practice and enabling underwriters to triage simple risks through automation while retaining manual controls for complex risks.
Operational coverage targeted Chaucer’s specialty underwriting lines and broker distribution channels, with the platform designed to accommodate the complexities of specialist business lines the firm writes. Artificial Labs worked closely with Chaucer to validate data models and business rules, and Artificial’s access to Capita’s start up development arm, Capita Scaling Partner, was used to support rapid commercial scaling and platform adoption.
Governance changes emphasized process leanification and operational scalability, shifting routine quote and issuance tasks onto the Artificial Labs Platform and freeing underwriters to spend more time with brokers and clients on complex placements. The deployment aimed to enhance underwriting responsiveness and speed to market while instituting data-driven pricing and selection workflows across Chaucer’s underwriting function.
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Insurance | 400 | $300M | United States | Artificial Labs | Artificial Labs Platform | ML and Data Science Platforms | 2023 | n/a |
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