AI HUB
From pioneering AI to practical use cases with measurable impact.
of customers prefer AI-powered, real-time services
higher customer retention when claims are AI-enabled
fewer false positives with AI-enabled fraud detection
The positive impacts of AI on turnaround times, operational costs, fraud prevention, customer and employee satisfaction have proven to be game-changing for our customers.
Instantly classify, sort, and index 500+ document types at claim intake, dramatically reducing the need for manual review, while improving data accuracy and throughput.
Extract structured data and key insights from unstructured documents (e.g., medical records, legal submissions, receipts), then use them to inform claim assessments and reduce manual data entry.
Analyze data patterns, compare submitted evidence, and flag claims suspected of fraud, waste, or abuse (FWA) with exceptional precision.
LLMs (Large Language Models) extract key data from large, unstructured policy documents (e.g., coverage limits, clauses, exclusions) and transform it into structured formats for automated, GenAI-enabled decision-making or further analysis.
AI-enabled workflows apply logic to trigger auto-approval or rejection, or flag complex cases for human review. Policy clause references explain real-time recommendations or decisions. Processing times are cut from weeks to minutes, and staff gain time for work that needs their care and attention.
Scan claims data for subrogation opportunities that would be undetectable with manual processes, thereby increasing recovery rates and lowering loss ratios.
Our models were trained on 7.5 million real insurance claims and policy documents, not synthetic data.
Our models, integration, and UI capabilities are built to deliver the scale and complexity you need.
We’ve pushed the limits of cutting-edge AI modeling from the outset. We are continuously evolving, so we can future-proof your business to be AI-enabled and customer-centric.
The vision and insurance experience of our leaders, meshed with the best and brightest AI engineers we hire, guarantees outstanding outcomes for our customers.
2019
AI research lab established with data science talent & insurance industry experts.
2021
First AI document understanding models proven in customer pilots in Japan.
Computer vision & synthetic data innovation leveraged to process 3 million documents, with 94% accuracy.
2022
Full-scale customer deployments underway.
Step change in capabilities, including policy assessment models leveraging NLI (Natural Language Interpretation) and NLU (Natural Language Understanding).
2023
Expansion into the UK, Europe & Latin America, with enterprise insurance customers.
Advanced LLMs (Large Language Models) integrated with existing models to drive automation in document processing and policy checking.
2024
North America market entry.
Generalized, end-to-end AI decisioning models added to auto-generate recommendations and next best steps.
2025
Growth in global deployments for insurers, service providers & MGAs (Managing General Agents).
Live Agent flows developed and deployed.
