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Federato

Category: AI in Fintech

An AI-native insurance platform that unifies underwriting workflows with real-time portfolio management, enabling insurers to align risk selection strategy with execution across the full policy lifecycle. Federato was founded in 2020. The company is led by Will Ross. Based in Palo Alto, California, United States. Team size: 150-160. Total funding raised: $180M+. Latest round: Series D, $100 Million (November 2025). Key investors include ["Goldman Sachs Alternatives","Emergence Capital","Caffeinated Capital","StepStone Group","Pear VC"].

Founded
2020
Headquarters
Palo Alto, California, United States
Team size
150-160
Total funding
$180M+

Value proposition

Aligns portfolio strategy with underwriting action through AI-driven insights that improve hit ratios by 9-24%, reduce time-to-quote by up to 90%, and enable 3.7x more high-appetite bound accounts while eliminating time wasted on unwinnable submissions.

Products and solutions

["RiskOps Underwriting Platform","AI Submission Triage","Orchestrate","Control Tower","Product Studio","Billing & Payments","Policy Form Generation","Rating & Quoting Engine","Partner Portal","Producer Portal","Policyholder Portal","Federated Data Graph"]

Unique value

First platform to unify insurance underwriting execution with portfolio management using reinforcement learning-based AI, spanning the entire policy lifecycle from submission to invoice rather than functioning as a bolted-on workbench. Uses federated data architecture to provide real-time insights on appetite, winnability, and risk accumulation.

Target customer

Property & Casualty insurance carriers, Managing General Agents (MGAs), mutual insurance companies, and MGA aggregators across commercial and personal lines

Industries served

["Property & Casualty Insurance","Specialty Insurance","Commercial Lines","Personal Lines","Excess & Surplus (E&S) Insurance","InsurTech"]

Technology advantage

Combines deep reinforcement learning and RLHF for portfolio optimization with a federated data graph that integrates disparate internal and external data sources. Enables 10x more predictive power on winnability scores compared to alternatives, reduces IT spend by 40%, and decreases system toggling by 87%.

How they differentiate

AI-native, RiskOps approach—focusing on real-time decision support and portfolio alignment rather than just core systems or point solutions. Integrated reinforcement learning for portfolio optimization.

Main competitors

["Earnix","Sixfold","Hyperexponential","Duck Creek"]

Key partnerships

["Google Cloud","CogniSure AI","Frederick Mutual Insurance","Velocity Risk","Vertico Risk","Ledgebrooks","Hyundai Insurance","Propeller"]

Notable customers

["Frederick Mutual Insurance","Velocity Risk","Vertico Risk","Ledgebrooks","Hyundai Insurance","Propeller","Hawaiian Hurricane Insurance"]

Major milestones

["Raised over $180M total funding","LinkedIn Top Startups 2025","Launched Orchestrate (Agentic AI composer) in 2025","Launched Control Tower in 2025","Launched Product Studio in April 2026","Launched Billing & Payments in March 2026","Appointed Tim Mossing as CCO in March 2026","Won Datos Insights 2025 Insurance Technology Impact Award (with Velocity Risk)"]

Growth metrics

Tripled revenues in the last year (as of Nov 2025); $5.5M ARR (2023); 150-160 employees.

Market positioning

High-growth, well-funded insurtech positioned at the intersection of AI and underwriting. Top 50 Startups in the United States (LinkedIn 2025).

Geographic focus

United States

Patents and IP

No registered patents publicly disclosed as of latest update

About Will Ross

Former Investor at Venrock, Manager/Product at IBM Watson, Instructor at Udacity teaching AI for Business Leaders. Stanford University graduate with MS in Climate and Atmospheric Modeling and MBA. Over 15 years of experience in AI and machine learning, with background in wildfire modeling and reinforcement learning.

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