AI-powered property risk intelligence for insurers, helping teams assess NatCat exposure, streamline underwriting, and make faster, more confident decisions.
““The Spartan team is fantastic! They tackled a tough technical challenge under tight deadlines and delivered impressively. Their process is clear and well-documented, keeping me informed about their work. I truly enjoy collaborating with them, feeling like they're part of our company.””Francisco Galvis CTO & Co-founder @ ResiQuant · PhD Researcher, Stanford @ ResiQuant
Overview
ResiQuant is a San Francisco-based, seed-stage startup founded by Stanford PhDs and backed by Pear VC, LDV Capital, and Foothill Ventures. The platform empowers property insurers to underwrite high-risk buildings using AI-powered document parsing, structural data extraction, and automated risk scoring.
Faced with tight investor timelines and a fragmented prototype, ResiQuant partnered with Spartan to design and deliver a production-grade MVP — fast.
Spartan’s Solution
Spartan deployed a compact, full-stack team (backend, frontend, AI, DevOps) to own delivery of a functional MVP within 4 weeks.
Why Spartan
- 🔷Full-Stack Velocity: Shipped complex AI + infra system in weeks, not months.
- 🔷Tech Rigor under Time Pressure: Delivered investor-grade demo without sacrificing accuracy or scale.
- 🔷Deep Collaboration: Embedded with founders and PMs (async loops, daily Slack check-ins, and hands-on design reviews).
- 🔷AI-Native Thinking: Combined LLM, OCR, and cloud-native infrastructure to unlock real business value.
Outcomes
- 🔥Demo Delivered: < 2 weeks → enabled VC outreach & conference demos
- 🔥Table Extraction Accuracy: >90% (Azure Doc Intelligence + prompt tuning)
- 🔥Processing Speed: Improved by ~50%
- 🔥Infra Cost: Reduced by 60–70%
- 🔥AI-Native Thinking: Combined LLM, OCR, and cloud-native infrastructure to unlock real business value.