Comparison
Quotr alternatives
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.
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 to 90% at John Cockerill) 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 to 90% less time on piping takeoff (John Cockerill) | Quotr's own published figure: 95% accuracy (vendor-stated, not independently reviewed) |
| Deployment time | 4 to 6 weeks to production; a proof of concept a week after the first meeting | Self-serve signup; usable as soon as an account is created |
| Pricing | From $10,000 to launch, then from $1,000 a month, priced by volume | 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 to 90% at John Cockerill) rather than a matching accuracy percentage. Neither is a substitute for the other. Quotr's figure is its own and has not been independently reviewed.
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
- 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 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.
See the pageConstruction
Mirage's AI agents for construction operations, takeoff, bid leveling, specification review, document intelligence, and more.
See the pageHow 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.
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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