EstiMate
How SinanSoft helped a founder turn a complex industry insight into an investable AI platform.
Client Profile
EstiMate is a dual-sided platform consisting of:
Venture: EstiMate
Industry: Automotive & InsurTech
Founder Vision: To build a "Financial Command Center" for collision repair shops—an AI co-pilot that automates the chaotic manual work of tracking insurance payments and estimates.
The Challenge: A "Locked" Ecosystem
The founder came to SinanSoft with a powerful domain insight but a massive technical hurdle. The collision repair industry runs on legacy software (like CCC One) where critical financial data is trapped in read-only formats.
To realize the vision, the product needed to:
Extract Data from "Black Box" Systems: Securely pull data from closed, legacy platforms without official modern APIs.
Bridge the Gap: Connect this operational data with financial tools like QuickBooks.
Simplify UX: Present complex data through a simple, "ChatGPT-style" conversational interface for non-technical shop managers.
SinanSoft Process
We didn't just write code; we acted as the Product Co-Founder, guiding the venture through our end-to-end development lifecycle.
SinanSoft Process
We didn't just write code; we acted as the Product Co-Founder, guiding the venture through our end-to-end development lifecycle.
Strategic Discovery & De-Risking
Strategic Discovery & De-Risking
Before writing a single line of code, we validated the technical feasibility of the 'impossible' integrations.
Feasibility Analysis: We investigated the CIECA BMS standards to ensure we could legally and securely parse the required data.
Security-First Architecture: Knowing the client needed to pass CCC Secure Share audits, we designed the infrastructure to be SOC 2 Type II compliant from Day 1, ensuring the startup wouldn't face regulatory blockers later.
Investor-Ready Design
Investor-Ready Design
Founders need to sell the vision before the product is fully built. Our design team focused on creating assets that could close deals.
Visualizing the "Invisible": We turned abstract data concepts into a clean, modern dashboard called PaymentTrack.
Interactive Prototyping: We built high-fidelity Figma prototypes that simulated the live AI chat experience. This allowed the founder to demonstrate the "magic" of the product to investors and early customers without waiting for the full backend build.
Engineering the "Hard Stuff"
Engineering the "Hard Stuff"
This is where SinanSoft shines. We tackled the heavy lifting that most agencies avoid.
Custom Data Pipelines: We built a custom ingestion engine using FastAPI and Node.js to parse complex XML/BMS payloads from shop software, normalizing messy data into structured insights.
AI Integration: We engineered a conversational layer using OpenAI models, contextually trained to understand automotive repair terminology (e.g., "AWF files," "deductibles," "supplements").
Seamless Integration: We created a secure bridge that automatically syncs this new data into QuickBooks, closing the loop for shop owners.
Outcome
In just 3 months, SinanSoft transformed a complex idea into a functional, secure reality.
Status: Active MVP currently in beta.
Impact: The founder successfully moved from "slide deck" to "live demo," securing early interest from pilot shops.
Asset: A proprietary platform that solves the #1 pain point for shop owners—getting paid faster.
Outcome
Tech Stack
Tech Stack
Core: Java/Spring, ReactJs
AI/ML: OpenAI API Integration
Database: MongoDB (for flexible document storage)
Integrations: plaid Online API, CCC Secure Share (BMS)
DevOps: AWS (US Region), Dockerized Microservices, Email(gmail) integration
