What is Artificial Labs?
- Founders: David King and Johnny Bridges
- Launch: Artificial Labs was launched in the UK and has established itself as a leading insurtech platform in the specialty insurance market.
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Use Cases:
- Automating underwriting submission triage and scoring
- Streamlining digital risk placement for brokers
- Managing insurance portfolios and capacity allocation
- Enhancing contract generation and document workflows
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Technology:
- AI and machine learning for data extraction and enrichment
- Cloud-based, configurable underwriting and placement platform
- Workflow automation tools for real-time decision-making
Artificial Labs is an AI-powered finance platform that transforms the specialty (re)insurance market by automating underwriting, placement, and portfolio management. It uses machine/new generation data processing and machine learning to unlock insights from unstructured data, optimize workflows, and enhance strategic underwriting. It allows insurers and brokers to manage submissions, capacity allocation, and portfolio modeling in real time. Artificial Labs offers tools that can be easily adjusted and automated to minimize repetitive tasks, boost productivity, and create a more efficient experience for specialty insurance operations. Professionals can then spend less time working on rote activities and more on value-added analytical work.
Key Features
Artificial Labs' key features are
- Smart Underwriting, to inform capital allocation and portfolio management in a data-driven framework
- Digital Placement tools for brokering multi-layer risk and contract management.
- Automated data ingestion from emails, PDFs, and spreadsheets
- Workflow automation for underwriting scoring and submission triage
- Portfolio modeling and risk visualization in real time
- A configurable platform developed & built neat-and-tidy for specialty (re)insurance
Pricing
Artificial Labs does not make a fixed pricing model available on the public website, since the pricing structure is driven more by enterprise and technical specifications, as opposed to general demand. Pricing will be based on company size, complexity of data, and features requested. Organizations wishing to engage will request a quote and a product demonstration of the level of automation and usage specific to their operations.
Disclaimer: For the latest and most accurate pricing information, please visit the official Artificial Labs website.
Who is Using Artificial Labs?
A wide range of users and organizations are using Artificial Labs
- Business policy providers
- Niche insurance agents
- Insurance brokers & carriers
- Ridgetop Research
- Insurers & underwriters
Alternatives
Some Artificial Labs alternatives are
- Cytora
- Hyperexponential
- Send Technology
- Relay Platform
- Concirrus
Conclusion
Artificial Labs is a groundbreaking AI solution for the specialty insurance ecosystem. With its established capability for automation, data intelligence, and workflow optimization, the platform supports brokers and carriers to seamlessly digitize their underwriting and placement processes. Finally, one of the platform's unique aspects is its flexibility and configurability to support complex, data-heavy processes. Overall, Artificial Labs empowers insurance organizations to modernize their operating procedures and workflow, facilitate quicker data-driven decisions, and sustain growth in today's technology-driven insurance market, which has become increasingly more competitive over the last several years.
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