Togal.AI

Togal.AI is a Miami, Florida construction-technology company building AI-powered takeoff and estimating software for the architecture, engineering, and construction (AEC) industry. Founded by former U.S. Congressman Patrick Murphy out of his family's multi-generational construction business, the cloud-based platform applies computer-vision and deep-learning models to architectural drawings and blueprints to automatically detect, measure, count, label, and compare project spaces and features — reporting up to 98% accuracy against AIA measurement standards and reducing manual estimating effort by roughly 80%. Signature capabilities include the Togal Button (one-click automated takeoff), AI-powered image, text, and pattern search across plan sets, drawing-set comparison for change quantification, real- time multi-user cloud collaboration, and Togal.CHAT, a natural-language assistant that lets estimators query plans, verify quantities, identify errors, and draft RFPs. The product serves drywall, electrical, mechanical, plumbing, glazing, landscaping, painting, FF&E, and general-contracting trades, with documented case studies (e.g., Coastal Construction) showing multi-hour-per-plan-set savings and seven-figure annual ROI. Togal.AI's revenue model is SaaS subscriptions sold to estimators, subcontractors, and general contractors; there is no public developer API, SDK, or open-source release, and the only known third-party integration is Service Titan plus data export to Excel and downstream estimating tools.

Togal.AI is profiled on the APIs.io network. Tagged areas include Construction, Construction Technology, AEC, Estimating, and Takeoff.

Togal.AI’s developer surface includes pricing, engineering blog, FAQ, support, GitHub presence, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

10.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0

0 APIs

Construction Construction Technology AEC Estimating Takeoff Blueprints Computer-Vision Deep Learning Document AIDrawing AnalysisSoftware-as-a-ServiceMiami

Kin Score

Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0

Composite quality — 10.5/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 3.4 / 20

Operational Transparency 0.7 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/togal-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

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Demo

Demo

Login

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

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DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

FAQ

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Support

Contact

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 5

The organization behind the API

Website

About

Blog

Careers

LinkedIn

Other 2

Properties that don't map to a standard resource type

HowItWorks

HowItWorks

CaseStudies

CaseStudies

Source (apis.yml)

aid: togal-ai
name: Togal.AI
description: Togal.AI is a Miami, Florida construction-technology company building AI-powered takeoff and estimating software
  for the architecture, engineering, and construction (AEC) industry. Founded by former U.S. Congressman Patrick Murphy out
  of his family's multi-generational construction business, the cloud-based platform applies computer-vision and deep-learning
  models to architectural drawings and blueprints to automatically detect, measure, count, label, and compare project spaces
  and features — reporting up to 98% accuracy against AIA measurement standards and reducing manual estimating effort by roughly
  80%. Signature capabilities include the Togal Button (one-click automated takeoff), AI-powered image, text, and pattern
  search across plan sets, drawing-set comparison for change quantification, real- time multi-user cloud collaboration, and
  Togal.CHAT, a natural-language assistant that lets estimators query plans, verify quantities, identify errors, and draft
  RFPs. The product serves drywall, electrical, mechanical, plumbing, glazing, landscaping, painting, FF&E, and general-contracting
  trades, with documented case studies (e.g., Coastal Construction) showing multi-hour-per-plan-set savings and seven-figure
  annual ROI. Togal.AI's revenue model is SaaS subscriptions sold to estimators, subcontractors, and general contractors;
  there is no public developer API, SDK, or open-source release, and the only known third-party integration is Service Titan
  plus data export to Excel and downstream estimating tools.
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/togal-ai.png
tags:
- Construction
- Construction Technology
- AEC
- Estimating
- Takeoff
- Blueprints
- Computer-Vision
- Deep Learning
- Document AI
- Drawing Analysis
- Software-as-a-Service
- Miami
tags_raw:
- Construction
- Construction Technology
- AEC
- Estimating
- Takeoff
- Blueprints
- Computer Vision
- Deep Learning
- Document AI
- Drawing Analysis
- SaaS
- Miami
url: https://raw.githubusercontent.com/api-evangelist/togal-ai/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/togal-ai-domain-security.yml
- type: Website
  url: https://www.togal.ai
- type: HowItWorks
  url: https://www.togal.ai/how-it-works
- type: Features
  url: https://www.togal.ai/features
- type: Pricing
  url: https://www.togal.ai/pricing
- type: About
  url: https://www.togal.ai/about
- type: Demo
  url: https://www.togal.ai/demo
- type: Login
  url: https://www-prod.togal.ai/auth/login
- type: Blog
  url: https://www.togal.ai/blog
- type: CaseStudies
  url: https://www.togal.ai/case-study/coastal-construction-case-study
- type: FAQ
  url: https://www.togal.ai/faq
- type: HelpCenter
  url: https://help.togal.ai
- type: Integrations
  url: https://help.togal.ai/integrations
- type: Support
  url: https://www.togal.ai/support
- type: Careers
  url: https://www.togal.ai/careers
- type: Contact
  url: https://www.togal.ai/contact
- type: GitHub
  url: https://github.com/Togal-ai-Team
- type: LinkedIn
  url: https://www.linkedin.com/company/togal-ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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