Peak3 Launched AI Platform for Insurance Sector
The company introduced Graphene Harness and Graphene v4 to automate software lifecycles for insurers.
Updated on Sept. 25, 2026 in Artificial Intelligence
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Peak3 has launched its new Graphene Harness platform to serve as an AI-driven delivery lifecycle for the insurance industry. The company also released an update, Graphene v4, which features agent orchestration capabilities and a marketplace for pre-built AI agents.
Why it matters
The platform is designed to reduce the cost and time required to build, implement, and maintain complex insurance technology. By creating digital AI equivalents for roles like engineers and testers, Peak3 aims to streamline the entire software development process.
The Graphene Harness platform utilizes AI for business analysis, architecture, engineering, and testing. Graphene v4 further adds runtime capabilities and access management systems to provide oversight of agent activity.
The players
Peak3
Peak3 is a Singapore-based technology firm that provides core infrastructure services to the global insurance sector.
The details
Peak3 serves more than 50 insurance clients across 20 countries. Its new tools replace manual labor by creating digital AI equivalents of roles including business analysts, architects, and reviewers.
Timeline
Peak3 launched Graphene Harness and Graphene v4 on September 25, 2026.
Client access to Graphene Harness is expected over the next 6 to 12 months.
Peak3 aims to reach an 80% reduction in technology costs over the next 18 to 36 months.
The Tech Race
This move represents a significant evolution in how insurers manage the lifecycle of their digital infrastructure. By integrating agent orchestration, the company is pivoting away from manual development cycles to compete in the increasingly automated software delivery sector.
Insurance providers utilizing this platform may experience faster deployment of new features and significant reductions in development costs. These efficiency gains could ultimately lower operational expenses for the firms that interact with these insurance policies.
The takeaway
Automating roles like business analysts and testers reflects a broader trend toward AI-native software engineering in highly regulated industries. Organizations looking to adopt these tools should focus on the oversight and access management features required to maintain operational security.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
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