# Togal.AI

**Canonical:** https://apis.io/providers/togal-ai/  
**Website:** https://www.togal.ai  
**APIs profiled:** 0

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.

## Kin Score — 10.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Togal Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Construction, Construction Technology, AEC, Estimating, Takeoff, Blueprints, Computer-Vision, Deep Learning, Document AI, Drawing Analysis, Software-as-a-Service, Miami

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/togal-ai/). Scores are computed from the provider's own public artifacts under a published rubric.
