Peak3 Launches Graphene v4 and AI Delivery System for Insurers
Peak3 launches Graphene v4 and Graphene Harness, the company said in a press release. Graphene v4 adds a model agnostic platform for building, running, monitoring and governing AI agents for insurance tasks.
It includes a marketplace of pre built agents for tasks such as medical underwriting, conversational first notice of loss, intelligent document processing and claims fraud detection. Insurers can also use natural language prompts and unstructured documents to configure products, calculations and rules. Graphene exposes its capabilities to agents through APIs, MCP and CLI, with access management, attribution and detailed logging enforced at code level, and can also run as a middle layer between AI agents and an insurer's existing systems of record.
Graphene Harness uses agent teams acting as digital twins of delivery roles, including business analyst, architect, engineer, tester and reviewer, to build, test, migrate and maintain insurance systems. Peak3 says it already builds and maintains Graphene itself this way. Peak3 is providing it to selected implementation partners and plans to make it available to clients within 6 to 12 months. The company says deployments have reduced feature delivery and core system implementation costs by 50%.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Oct 30 Canada's Biggest Banks Block AI Agents From Customer Accounts Oct 29 Verisk Adds Insurance Data to Amazon Quick, Copilot and Claude Oct 29 CoverGo Raises $6M for AI Insurance Platform Oct 29 Collective Raises $100 Million for Solo Business Finance Platform Oct 29 i23 raises £4.9 million for AI insurance brokerFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Zetaris Launches Cloud Data Service for AI Agents
Quantiphi and LangChain Partner to Scale Enterprise AI Agents
Pathwork Launches AI Commissions Engine for Insurance Brokerages
Beyond Now Launches Agentic Revenue Platform for Communications Providers
Pigment raises $250 million at $2.3 billion valuation
Daily AI Brief: the AI news that matters, in your inbox.