Safe Margins
AI-Driven Cyber Insurance Platform
Safe Margins is an end-to-end cyber-insurance platform that quantifies an organization's cyber risk in real time and turns that data into instant insurance quotes, policies, and claims. It connects three sides of the market — businesses (the insured), brokers, and carriers — in a single workspace, with a continuous security-monitoring engine and an AI advisor at its core. Built for fast underwriting decisions, transparent risk pricing, and a guided remediation path for every finding.
The Challenge
What We Faced
Cyber insurance has two problems that compound each other. Underwriters lack live evidence of the risk they're pricing — they rely on PDF questionnaires that go stale the moment they're submitted. Insureds lack visibility into the same data underwriters care about, so they have no way to actively reduce premium or close gaps before renewal. The client needed a platform that could continuously assess any organization's external and internal security posture, translate that posture into an underwriter-readable risk score, run the entire quote-to-claim lifecycle, and give the customer a clear, AI-guided remediation track — all without the engineering team having to hand-code each integration or scoring rule.
Our Solution
How We Solved It
We built Safe Margins as a multi-tenant platform with continuous security telemetry feeding an AI-driven risk engine, wrapped in a role-aware workspace for customers, brokers, and carriers. A unified evidence layer pulls live signals from cloud accounts, exposed assets, leaked credentials, vulnerability feeds, and threat intelligence — normalized into a single Safe Margins Index per organization. The AI advisor (built on a tuned LLM pipeline) reads the same evidence and produces plain-language remediation steps, ranked by risk-to-premium impact, so customers can act on the issues that actually move the underwriting decision. On top of that engine sits the full insurance lifecycle: dynamic onboarding questionnaires, instant indicative quotes, broker placement and carrier bidding, policy issuance, and claims intake with timeline tracking. Stripe-backed billing, an action center for assigned remediation tasks, and edge-verified JWT authentication round out the production-grade plumbing.
Outcomes
Key Results
Technology Stack
Our Expertise
Related Services
Full Stack Development
Complete front-to-back development with modern technology stacks.
Software DevelopmentCustom Software Development
Bespoke software solutions engineered to solve your unique business challenges.
Application DevelopmentCustom Application Development
Tailored applications designed to automate and optimize your business processes.
From Our Blog
Related Insights
Building Multi-Agent Systems: Orchestration Patterns That Scale
Practical architecture patterns for orchestrating multiple AI agents that collaborate on complex enterprise workflows.
AI AgentsAI Agent Tool Use: Designing Reliable Function-Calling Interfaces
How to design tool interfaces that AI agents can use reliably at scale — from schema design to error handling and retry strategies.
AI AgentsDeploying AI Agents to Production: Infrastructure Patterns and Pitfalls
Production infrastructure for AI agents — from containerization and scaling to observability, cost management, and safety guardrails.