"What does the spec say about the curing method for the elevated slab?"
Buried in Division 03. Foreman AI finds it, quotes the section, and flags any notes from the structural drawings that affect it.
Foreman AI vs Togal AI
Togal AI automates quantity takeoff — measuring square footage and counting plan symbols at speed. Foreman AI answers questions about your plan set — scope conflicts, spec requirements, bid risks, and CSI estimates. Most serious estimating teams will eventually want both. But they're not interchangeable.
No demo required. No sales call. Upload a plan set and start in 60 seconds.
Togal AI wins at speed-of-measurement. If you need to count 847 recessed light fixtures across 60 sheets, Togal will do it faster than anything. It's a quantity extraction machine.
Foreman AI wins at plan comprehension. If you need to know what the architectural and structural drawings disagree about, what the spec says about concrete testing, or what's missing from a plan set that could blow up your bid — that's Foreman AI. It reads your plans the way a senior estimator would.
Feature Comparison
| Capability | Foreman AI | Togal AI |
|---|---|---|
| Ask plain-English questions about plans | Yes — Full Q&A on any content in any sheet | Limited — Togal.CHAT generates scope summaries, not freeform Q&A |
| Automated quantity takeoff | Partial — Extracts quantities referenced in drawings/specs | Yes — Core strength; auto-count, auto-measure across sheets |
| Cross-sheet conflict detection | Yes — Compares arch vs structural vs MEP vs civil | No |
| Spec book comprehension (Division 01–49) | Yes — Reads spec sections, surfaces requirements | No |
| CSI-format estimate generation | Yes — Full 16-division estimate from voice or text prompt | No |
| Bid risk and scope gap flagging | Yes — Identifies undefined conditions, missing details | No |
| Large plan set support (100+ sheets) | Yes — Handles full arch + civil packages | Yes |
| Symbol counting and auto-measurement | No — Use Togal or STACK for this | Yes — Best-in-class for this workflow |
| Integrates with Sage / QuickBooks estimate formats | In progress | Yes — Established integrations |
| Desktop file and email search | Yes — Connects to Outlook and local project folders | No |
| Transparent public pricing | Yes — $0 / $79 / $179 per month, no demo required | No — Book a demo to get a quote |
Which Tool Wins
These aren't edge cases — they're real estimating situations.
Buried in Division 03. Foreman AI finds it, quotes the section, and flags any notes from the structural drawings that affect it.
This is a measurement and count problem. Togal's auto-count will do this faster and more accurately than any manual review.
Cross-document reasoning between a drawing schedule and a spec section. Only Foreman AI does this.
Cross-discipline gap analysis between two separate plan packages. Foreman AI compares both sets and surfaces the conflicts.
Area and linear measurement automation across multiple sheets. Togal's measurement engine is purpose-built for this.
Foreman AI reads the full plan set and generates a 16-division estimate with quantities, assumptions, and contingency flags. No takeoff tool does this.
The Honest Answer
For a high-volume estimating team, yes. Togal handles measurement speed. Foreman AI handles plan comprehension and pre-bid intelligence. They occupy different parts of the workflow and don't overlap.
The budget question is whether Togal AI's $300–$500+/seat/month price is justified for your takeoff volume. If you're bidding 3–5 projects a month with full architectural sets, the math may work. If you're a smaller shop or a GC that subs out most trade takeoffs, Togal's price-to-value ratio is harder to justify.
Foreman AI at $79/month is a different decision. A single pre-bid question answered — one scope gap caught, one conflict flagged before the bid goes out — pays for months of subscription.
Pricing
No demo, no sales call. Upload a PDF plan package and ask it anything about scope, specs, conflicts, or quantities. Free tier gets you 5 questions — enough to know if it's worth $79.