Togal.AI website screenshot

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
13.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
ConstructionConstruction TechnologyAECEstimatingTakeoffBlueprintsComputer VisionDeep LearningDocument AIDrawing AnalysisSaaSMiami

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
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 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Togal Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Demo
Demo
 Login
Login

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub
GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 4

Status, limits, changes, and where to get help

FAQ
FAQ
 HelpCenter
HelpCenter
 Support
Support
 Contact
Contact

Commercial 1

Pricing, plans, and the legal terms of use

Pricing
Pricing

Company 5

The organization behind the API

Website
Website
 About
About
 Blog
Blog
 Careers
Careers
 LinkedIn
LinkedIn

Other 2

Properties that don't map to a standard resource type

HowItWorks
HowItWorks
 CaseStudies
CaseStudies

Source (apis.yml)

apis.yml Raw ↑ 
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
- 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: '0.20'
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