Cadastral AI

An early-stage, pre-product insurtech startup.

Engagement Overview

Company: Cadastral AI | Industry: Insurtech / Underwriting Automation

Stage: Early-stage, pre-product
Cadastral AI aimed to develop a GenAI-powered underwriting assistant to help insurers make faster, data-driven risk decisions. They sought an end-to-end product development partner capable of turning their concept into a demo-ready MVP.

The Challenge

Cadastral Had

  • A 12-week runway to launch a demo-ready MVP
  • A need to ingest proprietary risk data and apply AI
  • Zero time to hire, ramp, or iterate slowly
  • Zero time to hire, ramp, or iterate slowly

The Founders Needed

  • A cross-functional team that could act like their internal product squad
  • Real GenAI/LLM experience
  • Secure data handling
  • A UI that demonstrated intelligence, not just a form

Our Solution

To meet Cadastral AI’s 12-week deadline, Torno deployed a dedicated Sprint Pod within 5 business days, acting as their end-to-end product and engineering partner from strategy through launch.

Pod Composition

  • Pod Lead (Product + Delivery)
  • 2 Backend Engineers (Python, FastAPI)
  • 1 Frontend Engineer (React + Next.js)
  • 1 QA Tester
  • 1 AI/ML Engineer (OpenAI + LangChain)

Tools & Stack:

  • LLM API: OpenAI GPT-4
  • Data Layer: PostgreSQL, secure S3 bucket ingest
  • Orchestration: LangChain + Pinecone
  • Frontend: Tailwind + Next.js chat UI
  • Auth & Access: Clerk.dev + Role-Based Permissions

Delivery Flow

Explore Our AI Capabilities

Week 1

Discovery, tech scope, API prototypes

Week 2- 4

Core LLM features + risk scoring engine

Week 5-8

Admin dashboard, ingestion pipeline, demo UI

Week 9-12

Final polish, regression testing, pitch-prep support

Key Deliverables & Product Features

Automated Risk Scoring
AI-driven models analyzed proprietary datasets to generate consistent, data-backed risk scores—reducing manual effort and improving accuracy.

GenAI Underwriting Assistant A GPT-4–powered assistant enabled underwriters to ask natural-language, risk-based questions and receive instant, context-aware insights.
Admin Dashboard
Centralized view for monitoring data ingestion, reviewing AI-generated scores, and managing overrides for human validation.
Secure Access Framework Role-based authentication and demo logins ensured data security while enabling safe investor access.

Final Product Feature

Risk scoring automation powered by proprietary data

GenAI assistant for underwriters to ask risk-based questions

Admin dashboard with ingestion status + scoring override

Secure access model + investor demo login flows

Business outcome

MVP launchedin 12 weeks

Underwriting time reduced by 38% in demo testing

Investor demo was praised for UX + intelligence

Ready for seed round + pilot conversations

Business outcome

MVP launchedin 12 weeks

Underwriting time reduced by 38% in demo testing

Investor demo was praised for UX + intelligence

Ready for seed round + pilot conversations

MVP launched
in 12 weeks

Underwriting time reduced by 38% in demo testing

Investor demo was praised for UX + intelligence

Ready for seed round + pilot conversations

“Torno was more than an engineering partner. They were my product team from day one.”

— Abhinav Somani, CEO, Cadastral AI

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Ready to Launch Your MVP?

If you’re a founder looking to turn a bold idea into a real product — fast, secure, and GenAI-ready — Torno’s Sprint Pods can get you there.

  • contact@tornosolutions.com
  • Chicago | New Jersey | New Delhi
Talk to an AI Pod Lead
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