Velos · May 2026
Explains how Velos thinks about choosing between autonomous workflows, copilots, and manual processes, and why matching the delivery mechanism to the job matters.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Velos is a San Francisco-based, YC-backed AI automation company that replaces outsourced/manual back-office work with managed automations for commercial insurance and adjacent finance/professional-services workflows. Public funding data is a bit noisy across sources, but company-facing/YC-facing materials consistently present Velos as an early-stage startup founded in 2023 with a small team and a sales-led, custom-implementation motion.
Primary product
Managed AI automation for back-office insurance workflows (e.g., bordereaux, policy servicing, reconciliation, submissions, claims/admin)
Founded
2023
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Industry
Software Development
Sub-industry
AI automation for insurance back-office operations
0 jobs at Velos
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Offices
Business model
Investors
Pricing
Sales-led custom pricing; no public pricing posted
Differentiators
Technology
Customers
Competitors
Estimated revenue
under $1M
Estimated monthly visits
2.3K
Traffic estimate as of Jul 2026
Velos · May 2026
Explains how Velos thinks about choosing between autonomous workflows, copilots, and manual processes, and why matching the delivery mechanism to the job matters.
Velos · Feb 2026
Velos announced acceptance into NVIDIA Inception, signaling validation from NVIDIA's startup program for AI companies.
Velos · Feb 2026
Founder and CEO Oscar Martinez won NetDiligence's Cyber Pitch competition by pitching Velos's approach to automating insurance submission intake, policy checking, FNOL intake, and bordereaux processing.
Velos · Oct 2025
Velos reported inclusion on Fintech Global's 2025 Insurtech 100 list, a notable industry recognition.
Scout InsurTech · Feb 2025
Founder Oscar Martinez described Velos as an intelligent automation platform for insurance back-office work and explained the company's AI-based approach versus RPA and BPO.