Digs Tech Stack

AI platform automating home construction documents and digital twins

Software Development Vancouver, Washington 11–50 employees Founded 2022 Privately Held

Digs builds AI tooling for residential builders focused on pre-construction and warranty phases. The tech stack—Python, OpenCV, FastAPI, pgvector, React—reveals a computer-vision-heavy product (3D digital twins from home imagery), paired with a lean engineering org actively adopting Claude and GitHub Copilot. Active projects around ML model serving, evaluation frameworks, and visual regression testing signal rapid iteration on core AI capabilities, while concurrent work on budget and vendor management suggests the platform is expanding beyond document automation into operational workflows.

Tech Stack 16 technologies

Core StackHubSpot Zapier FastAPI Python NumPy TypeScript React Playwright Brex Webflow Shapely OpenCV pgvector

AdoptingCursor GitHub Copilot Claude

What Digs Is Building

◆Challenges

Spend visibility
Vendor management
Budget planning
Lack of dedicated qa team
Test flakiness

▲Active Projects

Budget reporting system
Vendor management system
Asset tracking system
Fastapi services for ml model serving
Evaluation frameworks and benchmarks for ml services
Integration of ml outputs into production workflows via restate
Shape testing processes at digs
Ai-powered testing tool integration
Visual regression testing implementation

Hiring Activity

Accelerating5 roles · 4 in 30d

Department

Engineering

Marketing

Ops

Seniority

Intern

Lead

Manager

Notable leadership hires: Demand Generation Lead

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About Digs

Digs is an AI platform for home builders that structures pre-construction and warranty documents, auto-generates 3D digital twins of homes, and facilitates collaboration between builders and homeowners. The product delivers structured data extraction from construction artifacts (plans, inspections, photos) and surfaces it as a queryable digital model—positioned as a permanent, shareable homeowner reference. Founded in 2022 and based in Vancouver, Washington, the company operates at 11–50 employees with engineering-forward hiring (3 open roles) and early-stage go-to-market (1 demand generation lead). Primary customers are residential builders navigating fragmented documentation workflows.

HeadquartersVancouver, Washington

Company Size11–50 employees

Founded2022

Hiring MarketsUnited States

Frequently Asked Questions

What tech does Digs use for computer vision?

Python, OpenCV, NumPy, and pgvector for image processing and embedding storage. FastAPI and TypeScript/React form the model-serving and frontend layers. Shapely handles geometric operations for 3D models.

What internal challenges is Digs facing?

Spend visibility, vendor management, budget planning, lack of dedicated QA, and test flakiness. Active projects address these via budget reporting, vendor management, and visual regression testing systems.