Comparison
Togal.AI alternatives
Mirage vs Togal.AI
Both use AI to automate construction quantity takeoff. Togal.AI is a self-serve SaaS platform you run yourself. Mirage is a forward-deployed agent, wired into your existing plan formats and estimating workflow by Mirage engineers.
Executive Summary
Mirage and Togal.AI are the two most directly comparable tools in this space: both use AI, not manual point-and-click measurement, to detect and quantify spaces, walls, and objects from a plan set.
Togal.AI is sold as self-serve software, priced from roughly $250/month for individual estimators up to $400-$500/month for higher tiers. Togal's own materials cite up to 98% accuracy, a figure Togal publishes itself.
Mirage is deployed differently: engineers work inside your operation to wire the agent into your specific plan formats, estimating software, and ERP, rather than expecting your team to configure a self-serve product.
Neither figure, Togal's accuracy claim or Mirage's time-reduction figure, measures exactly the same thing, and the two aren't directly interchangeable. The real choice is between a self-serve AI takeoff product and a forward-deployed agent integrated into your own systems.
Key Takeaways
- Both use AI for takeoff; Togal.AI is self-serve SaaS, Mirage is a forward-deployed agent.
- Togal.AI publishes an accuracy claim (up to 98%, its own figure); Mirage reports time reduction (80 to 90% at John Cockerill) instead, not directly comparable metrics.
- Togal.AI is priced $250-$500/month; Mirage is scoped per engagement.
- Mirage's engineers map non-standard plan formats directly.
At a Glance
| Aspect | Mirage | Togal.AI |
|---|---|---|
| Model | Forward-deployed AI agent, wired into your existing plan formats and estimating workflow | Self-serve AI takeoff SaaS platform, configured and run by your own team |
| Reported accuracy | Not benchmarked as an accuracy percentage; case studies report 80 to 90% less time on piping takeoff (John Cockerill) | Togal.AI's own published figure: up to 98% |
| Deployment time | 4 to 6 weeks to production; a proof of concept a week after the first meeting | Self-serve signup; usable immediately, no deployment phase |
| 2026 pricing | Scoped per engagement, not published publicly | From roughly $250/month for individual estimators, $400-$500/month for higher tiers |
| System integration | Wired directly into your existing estimating software and ERP by Mirage engineers | Cloud-based, with its own Quotes/Estimates, Job Costing, and Assembly Takeoff modules |
| Team involvement | Mirage engineers embedded in your operation during and after rollout | Self-serve; your team configures and runs the platform |
| Collaboration | Runs inside your existing tools, not a separate platform to log into | Cloud-based, real-time multi-user collaboration on the same takeoff |
Key Differences
Forward-deployed agent vs. self-serve SaaS
Mirage's engineers work inside your operation to map your specific plan formats and downstream systems. Togal.AI is a product your own team signs up for and configures, with no forward-deployment engagement.
Different claims, not directly comparable
Togal.AI publishes an accuracy percentage; Mirage's construction case studies report time reduction (80 to 90% at John Cockerill) rather than a matching accuracy figure. Neither number measures the other company's metric.
Advantages and Limitations
Mirage
Advantages
- Engineers map your specific plan formats rather than expecting self-serve configuration
- 80 to 90% less time on piping takeoff in a documented case study (John Cockerill)
- Integrates directly into your existing estimating software and ERP
- 4 to 6 weeks to a production deployment
Limitations
- Pricing is scoped per engagement, not published publicly
- No published accuracy percentage directly comparable to Togal's claim
Togal.AI
Advantages
- Published, predictable monthly pricing
- Self-serve: no deployment engagement required to start
- Real-time cloud collaboration on the same takeoff
- Built-in Quotes/Estimates, Job Costing, and Assembly Takeoff
Limitations
- No forward-deployed engineering support for mapping unusual plan formats
Real-World Use Cases
Teams with non-standard or complex plan formats
Teams whose plan sets are scanned, heavy in MEP content or drawn with non-standard symbology are a closer fit for Mirage's forward-deployed approach, where engineers map those formats before the agent runs.
Teams wanting a self-serve start
Teams that want to sign up and start measuring immediately, without a deployment engagement, are a closer fit for Togal.AI's self-serve model.
High-volume bidding with tight turnaround
The John Cockerill case study reports 80 to 90% less time on piping takeoff and a fabrication bill of materials produced ten times faster, using Mirage's agent instead of manual measurement.
Mirage Products
Takeoff & Estimating
Mirage's AI agent for construction quantity takeoff, reads plan, section, and detail sheets together and returns quantities with their source attached.
See the pageConstruction
Mirage's AI agents for construction operations, takeoff, bid leveling, specification review, document intelligence, and more.
See the pageHow to Choose
The real question isn't which company publishes the higher accuracy number: Togal.AI's accuracy claim and Mirage's time-reduction figure measure different things and aren't directly interchangeable without running both on the same plan set.
The more useful question is how uniform your plan sets are and how much configuration your team wants to own. A self-serve product like Togal.AI fits teams with reasonably clean, standard drawings who want to start immediately. Mirage's forward-deployed model fits teams whose formats are less standard, or who'd rather have engineers own the integration than configure it themselves.
Where Mirage fits on US and UK projects
On US projects, Mirage reads US drawing sets and returns quantities traced to their sheet and detail for your estimators to price in the system they already use, and runs the document workflows around the bid and the job: CSI MasterFormat organisation, certified payroll against prevailing wage determinations and AIA G702/G703 pay applications. It does not check drawings against US building codes.
On UK projects, the quantities can be measured into an NRM2-structured bill for the quantity surveyor to price, and the contract side covers NEC4 administration.
FAQ
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Takeoff & Estimating
Mirage's AI agent reads plan, section, and detail sheets together and returns quantities with their source attached, deployed by engineers who work inside your estimating workflow.
See takeoff and estimatingGet a custom automation plan
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