Unmatched AI Accuracy
Guaranteed 98%+ accuracy with benchmark results to prove it using the world’s most powerful generative AI model purpose-built for insurance and trained on 300 million non-public insurance documents.
Insurance AI Accuracy Gap
General LLMs typically achieve a significantly lower accuracy (around 40-50%) on insurance tasks and are not suitable for production automation without the substantial time and cost involved in domain specific training and fine-tuning.
Rapid STP Improvements
True operational ROI measured by an increase in straight through processing (STP) rates realized in a single quarter.
Slow ROI, Tons of Effort Required
Building solutions with general LLMs can involve substantial upfront costs and long development cycles (12-36 months) delaying ROI for years.
Lower TCO with Fast Results
No heavy IT burden. No hosting or model training costs. Start small with a low initial investment, and ‘pay as you go’ with our usage-based model. With Roots you're buying a production-quality system with guaranteed outcomes and a real SLA intact, not just a pilot.
Million-Dollar LLM Setup
High initial investments in infrastructure and specialized teams can run into the millions to get general LLMs suitable for complex insurance use cases.
Broad Insurance Coverage
15+ operational use cases supporting underwriting, servicing and claims processes.
Untrained for Insurance
General LLMs lack pre-training on the diverse, unstructured data and complex processes specific to insurance, limiting their immediate applicability across various insurance processes and workflows.
Results Guaranteed
Roots does not shy away from accountability. We build it into our contract. If there's a problem with accuracy or straight through processing (STP) rates, we're on the hook to correct it. We guarantee results in 90 days or your money back with the only accuracy-based SLA offered for insurance AI.
Unaccountable AI
Most general LLMs offer a simple uptime availability guarantee are not contractually held accountable for specific outcome-based performance metrics like accuracy and straight-through processing (STP).
Industry Leading Investors
Funded by industry leaders including Liberty Mutual and Erie Insurance.
Privacy, Security & Compliance Concerns
General LLMs are not specifically designed or trained for the unique vocabulary, security, data privacy, and regulatory requirements of the insurance sector.
Top Insurers Trust Roots
75+ production AI Agent deployments at scale, including a who's who of major insurers and references who can attest to Roots' ability to enhance STP rates.
No Real Insurance Successes
General LLMs do not possess extensive, quantifiable proof of success or readily available references specifically within the insurance industry.
Unlike general LLMs like OpenAI and Anthropic, Roots comes pre-trained on insurance-specific data, documents, and workflows - delivering out-of-the-box accuracy without costly fine-tuning or months of setup.
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Unlike general LLMs that demand months of development and millions in setup costs, Roots drives automation and value from day one - no data scientists or patchwork solutions required.
Roots backs its platform with SLAs tied to real insurance outcomes like accuracy and straight-through processing—something general LLM providers simply don’t guarantee.
Insurers must prioritize fairness and transparency to make unbiased, fact-based AI decisions. Roots simplifies this with an ethical AI framework based on eight core principles, ensuring explainable decisions, strong data protection, and ongoing improvement to maintain trust and compliance.
Roots is dedicated to AI research that directly addresses practical problems. Our work emphasizes advanced post-training methods and reasoning capabilities, enabling AI models to simplify complex tasks, make business processes more effective, automate routine tasks, and improve decision-making.
