Comparison
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; independent reviews report 85–95% accuracy on clean architectural drawings with standard symbology, with accuracy dropping on complex, scanned, or MEP-heavy plan sets.
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. A US rail contractor case study reports an 87% reduction in plan-set takeoff time using this model.
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%, 85–95% independently reported); Mirage reports time reduction (80–87%) instead — not directly comparable metrics.
- Togal.AI is priced $250–$500/month; Mirage is scoped per engagement.
- Togal.AI's accuracy is reported to vary with drawing complexity; Mirage's engineers map non-standard 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 80–87% reduction in takeoff time | Vendor claims up to 98%; independent reviews report 85–95% on clean drawings, lower on complex or MEP-heavy plans |
| Deployment time | Under 4 weeks on average to production; first usable takeoff within days | 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 (80–87%) rather than a matching accuracy figure. Neither number measures the other company's metric.
Accuracy sensitivity to drawing complexity
Independent reviews of Togal.AI report accuracy dropping from 85–95% on clean architectural drawings to lower on complex, scanned, or MEP-heavy plan sets — a real consideration for teams whose plan sets aren't uniformly clean.
Advantages and Limitations
Mirage
Advantages
- Engineers map your specific plan formats rather than expecting self-serve configuration
- 87% reported reduction in plan-set takeoff time in a documented case study
- Integrates directly into your existing estimating software and ERP
- Under 4 weeks on average 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
- Reported accuracy varies significantly by drawing quality — lower on complex or MEP-heavy plans
- 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 don't match Togal.AI's cleanest-case scenario — scanned drawings, heavy MEP content, non-standard symbology — are a closer fit for Mirage's forward-deployed mapping approach.
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 US rail contractor case study reports 87% less time on plan-set takeoff and 31 FRA inconsistencies caught before inspection, using Mirage's agent across 3 deployed agents in 9 weeks.
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.
Learn more →Construction
Mirage's AI agents for construction operations — takeoff, bid leveling, specification review, document intelligence, and more.
Learn more →How 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.
FAQ
Mirage for Construction Takeoff
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.
Discover Takeoff & Estimating→