Comparison
Mirage vs Quotr
Both use AI to turn a plan set into quantities and a priced estimate. Quotr is a self-serve platform you sign up for and run yourself. Mirage is a forward-deployed agent, wired into your existing plan formats and estimating workflow by Mirage engineers.
Executive Summary
Mirage and Quotr both apply AI to construction takeoff and estimating: upload a plan set, get back quantities and a priced estimate instead of measuring by hand.
Quotr is sold as self-serve software: upload PDF or image plans, and its computer-vision engine detects counts, lengths and areas across the set, then prices them against either your own cost database or Quotr's own average costs by US zip code, exporting a branded proposal PDF. Quotr's own marketing cites 90% faster takeoffs, 95% accuracy and 40-50% material savings — vendor-published figures, not independently reviewed the way Togal.AI's are.
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.
The real choice is the same one that separates Mirage from any self-serve AI takeoff tool: a product your team signs up for and configures, versus an agent Mirage's engineers integrate into your own systems.
Key Takeaways
- Both use AI for takeoff and estimating; Quotr is self-serve SaaS, Mirage is a forward-deployed agent.
- Quotr publishes a 95% accuracy claim (vendor-stated, not independently reviewed); Mirage reports time reduction (80–87%) instead — not directly comparable metrics.
- Quotr generates a priced proposal PDF in-platform; Mirage pushes structured data into the estimating software and ERP you already run.
- Quotr's pricing isn't published; Mirage is scoped per engagement.
At a Glance
| Aspect | Mirage | Quotr |
|---|---|---|
| Model | Forward-deployed AI agent, wired into your existing plan formats and estimating workflow | Self-serve AI takeoff and estimating SaaS, configured and run by your own team |
| Reported accuracy | Not benchmarked as an accuracy percentage; case studies report 80–87% reduction in takeoff time | Quotr's own published figure: 95% accuracy (vendor-stated, not independently reviewed) |
| Deployment time | Under 4 weeks on average to production; first usable takeoff within days | Self-serve signup; usable as soon as an account is created |
| Pricing | Scoped per engagement, not published publicly | Not published on Quotr's public site as of this writing; quoted at signup |
| Cost database | Wired into your own estimating software, unit rates and pricing rules | Your own cost data, or Quotr's average costs by US zip code |
| Output | Structured export into your existing estimating stack or cost database | Branded, client-ready proposal PDF generated in-platform |
| Team involvement | Mirage engineers embedded in your operation during and after rollout | Self-serve; your team uploads plans and reviews the AI's output |
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. Quotr is a product your own team signs up for, uploads plans to, and configures, with no forward-deployment engagement.
Vendor-stated accuracy vs. reported time reduction
Quotr publishes a 95% accuracy figure on its own site; Mirage's construction case studies report time reduction (80–87%) rather than a matching accuracy percentage. Neither is a substitute for the other, and Quotr's figure hasn't been independently reviewed the way some competitors' have.
Estimate delivery vs. system integration
Quotr's output is a priced, client-ready proposal PDF generated inside its own platform. Mirage's output is structured data pushed into the estimating software and ERP you already run, without a separate platform for the team to log into.
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 Quotr's claim
Quotr
Advantages
- Self-serve — no deployment engagement required to start
- Built-in cost database with US zip-code-based average pricing
- Generates a branded, client-ready proposal PDF in one step
- Chat-style Q&A against your own plan set, not just a static report
Limitations
- Accuracy and speed figures are Quotr's own published claims, not independently reviewed
- No forward-deployed engineering support for mapping unusual plan formats or downstream systems
- Pricing not published on Quotr's public site as of this writing
Real-World Use Cases
Small contractors wanting a fast, self-serve start
A subcontractor or GC that wants to upload a plan set and get a priced proposal back without a deployment engagement is a closer fit for Quotr's self-serve model.
Teams with non-standard formats or existing systems to integrate
Teams whose plan sets, estimating software or ERP don't fit a generic self-serve tool are a closer fit for Mirage's forward-deployed mapping approach.
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.
Learn more →Construction
Mirage's AI agents for construction operations — takeoff, bid leveling, specification review, document intelligence, and more.
Learn more →How to Choose
Quotr's accuracy and speed figures come from Quotr's own marketing, not an independent reviewer — worth confirming on your own plan sets before relying on them for a bid.
The more useful question is the same one that applies to any self-serve AI takeoff tool: how uniform your plan sets are, and how much you want a vendor's product to own versus having engineers integrate the result into the estimating software and ERP you already run.
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→Get a custom automation plan
Tell us where your operations lose time. We send back a written plan: which workflows are worth automating, what a deployment looks like on your systems, and the shortest path to production. No commitment.
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