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Togal.AI, Inc. logo
Ops EfficiencyEstablished · 5 yrs on market

Togal.AI

AI-powered construction takeoff that automatically detects, measures, and compares quantities directly from your drawings.

By Togal.AI, Inc. · 4.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • General contractors and preconstruction teams that produce a high volume of bid takeoffs from drawing sets.
  • Specialty trade estimators in drywall, painting, flooring, and similar scopes who bid many small jobs.
  • Estimating departments that want cloud collaboration across offices and with external partners.
  • Teams that need to compare drawing revisions and quantify scope changes quickly.

Ideal size: 2–50 estimating users people · Contractor with an existing estimating process moving off desktop takeoff

Not for

  • Heavy civil, earthwork, and linear infrastructure estimating that needs specialized quantity tooling.
  • Firms looking for a full estimating, ERP, or project accounting suite rather than takeoff only.
  • Organizations that require on-premise or air-gapped deployment.
  • Very small or low-volume shops that cannot justify $299 per user per month.

Value metrics scorecard

Time-to-Value

About 2 weeks

~14 days to first production value

Total Cost of Ownership

$14,352/yr

Starts at $3,588 · Per user, billed yearly — Growth is $299 per user per month; Business (4+ users) is custom-quoted.

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Growth sold per individual user; Business plan is for teams with 4 or more users; multi-license discounts available via sales.

Add-on costs

  • Business tier features (SSO, security compliance, dedicated support representative, onboarding and training) are custom-quoted and not published.

Company & support

Who is behind Togal.AI, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailAll plans
  • Live chatNot listed
  • Support portal / ticketsAll plans
  • Community forumNot listed
  • Help centre / docsAll plans
  • Dedicated account managerEnterprise only
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Support email [email protected], an in-app help icon, and a help site with articles and video tutorials are described on the pricing FAQ. The Business plan adds a dedicated support representative plus onboarding and training assistance. No support hours or SLA are published.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Togal.AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$2k/yr$3k/yr$4k/yr$5k/yr6d10d14d15dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyTogal.AIBuildxactWorkyardService FusionbusybusyServiceM8

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

Togal.AI is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Togal.AI
  • Buildxact
  • Workyard
  • Service Fusion
  • busybusy
  • ServiceM8
Add or change companies

Up to 10 companies including Togal.AI. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Togal.AI ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Document processingAI searchCopilot / assistant

Homepage claims automatic detection, measurement, and comparison from drawings at up to 98% accuracy and takeoffs 5x faster, plus Togal.CHAT natural-language queries over plan sets. The privacy policy states usage data is used to teach and refine ML/AI techniques. No model provider, BYOK option, or per-action AI audit log is documented in the sources reviewed.

Your data & models

Trains on your data
Trains on your data
Runs on
Not recorded
AI pricing
Included in the plan

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Togal.AI is an AI-powered construction takeoff platform built by estimators. It detects, measures, and compares quantities from drawing sets, which the vendor claims is up to 98% accurate and about 5x faster than manual takeoff. Cloud collaboration lets internal and external users work the same takeoff in real time, and Togal.CHAT answers questions against the plans. Case studies report 50–65% faster preconstruction. Growth starts at $299 per user per month, billed yearly; Business for 4+ users is custom-quoted with SSO and dedicated support.

Frequently asked questions

What does Togal.AI cost?

The Growth plan is $299 per user per month, billed yearly, and includes unlimited automated takeoffs, chat prompts, image and symbol searches, and internal and external collaboration. The Business plan for teams with 4 or more users is custom-quoted and adds onboarding and training assistance, a dedicated support representative, a classification library template, quantity discounts, security compliance, and SSO. Togal supports all major credit cards and reviews multi-license discounts through sales.

How fast can an estimating team get value from Togal.AI?

Togal is cloud-based, so access starts with a demo booking or self-guided tour rather than a long deployment, and the Business plan includes onboarding and training assistance. Customers in published case studies describe completing small projects in 30 minutes to an hour and larger takeoffs in 2 to 3 hours, including specification review. The vendor does not publish a contractual time-to-value figure or implementation timeline.

Does Togal.AI use our drawings or usage data to train its AI models?

Togal's privacy policy states that usage data — personalized information about how customers use the services — is collected in part to teach and refine the machine learning and artificial intelligence techniques used by the services, and it lists teaching and refining AI techniques among the purposes for which data is used. The policy does not describe an opt-out for that use, so buyers with strict data-governance requirements should raise it during contracting.

Is Togal.AI secure and compliant?

The Business plan lists security compliance and SSO as features for teams with 4+ users, and the privacy policy says Togal.AI has taken steps toward GDPR compliance. However, Togal does not publish a security or trust page naming specific certifications such as SOC 2, ISO 27001, HIPAA, or FedRAMP, so enterprise buyers should request current documentation directly.

What support is available, and on which plans?

Support is available by email at [email protected], through an in-app help icon, and via a help site with articles and video tutorials, all presented as generally available rather than tier-limited. The Business plan adds a dedicated support representative plus onboarding and training assistance. Togal does not publish support hours or a response-time SLA.

Does Togal.AI integrate with other estimating or construction systems?

Published case studies describe integrations with Ediphi and Zebel, and external collaborators can join a takeoff without their own Togal licence. No named integrations with major platforms such as Salesforce, SAP, or Microsoft 365 are published, and no MCP server is documented, so any deeper integration work would depend on the vendor's API, which is not described in the sources reviewed.