Construction · head to head
Briq vs Togal.AI

Briq
Construction
Financial automation and forecasting for contractors sitting on top of construction ERP
- From
- On request
- Rated
- -

Togal.AI
Construction
Automated drawing takeoff that measures and labels spaces without manual tracing
- From
- $299/month
- Rated
- -
The short version
- Each has a real cost: Briq briq layers on top of an ERP rather than replacing it, so the total finance software bill goes up and the business case has to come from headcount or close-time savings that are hard to measure in advance.; Togal.AI annual billing is mandatory at $299 per user per month, so an estimating team that ramps up and down for bid seasons pays a full year for seats it uses intermittently.
- They diverge on capability: Briq covers Invoice capture and coding, Togal.AI covers Automatic space detection.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Briq and Togal.AI actually diverge.
Identical on both: free tier (No), platforms (Web), user rating (Not yet rated), category (Construction).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Briq
- Invoice capture and coding
- WIP schedules
- Cash flow forecasting
- Cost at completion forecasting
- Multi-entity consolidation
- Overhead allocation
- Workflow automation
- Dashboards and reporting
Only in Togal.AI
- Automatic space detection
- Drawing comparison
- Natural language search
- Automated counts
- Excel export
- Plan set management
- Team sharing
What people use each for
The jobs each tool is most often brought in to do.
Briq
- A contractor whose month-end close runs three weeks because WIP is rebuilt by hand in Excel every periodnot Togal.AI
- A group with four operating companies on different chart-of-accounts structures that needs one consolidated margin viewnot Togal.AI
- A specialty contractor processing thousands of supplier invoices a month that wants coding and approval automated rather than keyednot Togal.AI
- A finance director who needs a defensible cost-at-completion forecast for a surety or lender rather than a project manager's estimatenot Togal.AI
Togal.AI
- A commercial general contractor bidding repetitive multifamily or hospitality floor plates where room-by-room area takeoff dominates the effortnot Briq
- An estimating team that needs to requantify quickly when an architect issues a revised set two days before a bidnot Briq
- A finishes subcontractor pricing flooring, paint and ceiling areas across hundreds of roomsnot Briq
- A preconstruction group producing early order-of-magnitude budgets from schematic plans before a full estimate is justifiednot Briq
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Briq
- Briq layers on top of an ERP rather than replacing it, so the total finance software bill goes up and the business case has to come from headcount or close-time savings that are hard to measure in advance.
- The output is only as good as job cost coding in the underlying ledger, and contractors with inconsistent cost codes get faster visibility of a mess rather than a clean forecast.
- No pricing is published and the contract is scoped by entities, modules and transaction volume, which makes budgeting impossible without a full discovery exercise.
- Implementation is a data mapping project against systems such as Vista and Sage 300 that were not designed to be read this way, so go-live timelines run into months and depend on your own finance team's availability.
- It targets mid-market and larger contractors; a firm with one entity and a competent controller in Excel will not recover the cost, and the product is oversized for smaller subcontractors.
Togal.AI
- Annual billing is mandatory at $299 per user per month, so an estimating team that ramps up and down for bid seasons pays a full year for seats it uses intermittently.
- Detection is tuned to architectural floor plans and space-based quantities; civil, structural detail and MEP riser takeoff still need a conventional tool, so most firms end up paying for two.
- Automatically generated quantities still require estimator review before they enter a bid, so the saving is in tracing time rather than in checking time, and firms that skip the check are exposed on a hard-money bid.
- The company spun out of a single general contractor, and drawing conventions that differ from that firm's typical project types produce weaker detection until the set is cleaned up.
- It is a takeoff tool, not an estimating system, so pricing, rate build-up and bid assembly still happen elsewhere and the Excel handoff is the seam where errors get introduced.
Pricing, plan by plan
Briq
On request- Briq$undefined/year
- Annual platform subscription
- Scoped by modules, entities and transaction volume
- Implementation and data mapping quoted separately
Togal.AI
$299/month- Growth$299/month
- One or two licences
- Unlimited AI takeoffs
- Drawing comparison and search
- Business$undefined/year
- Three or more licences
- Quoted by the vendor
- Team administration and shared takeoffs
Which should you pick?
Choose Togal.AI if
- You need automatic space detection.
- You also want drawing comparison.
Questions people ask
- Is Briq or Togal.AI better?
- Neither clearly leads. Briq starts at On request and Togal.AI at $299/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Briq or Togal.AI?
- Briq starts at On request and Togal.AI at $299/month.
- Does Briq or Togal.AI run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- What is Briq best used for?
- Briq is most often used for a contractor whose month-end close runs three weeks because wip is rebuilt by hand in excel every period, a group with four operating companies on different chart-of-accounts structures that needs one consolidated margin view, a specialty contractor processing thousands of supplier invoices a month that wants coding and approval automated rather than keyed, a finance director who needs a defensible cost-at-completion forecast for a surety or lender rather than a project manager's estimate. Of those, a contractor whose month-end close runs three weeks because wip is rebuilt by hand in excel every period and a group with four operating companies on different chart-of-accounts structures that needs one consolidated margin view are not what Togal.AI is typically brought in for.
- What can Briq do that Togal.AI cannot?
- Briq covers Invoice capture and coding, WIP schedules, Cash flow forecasting, Cost at completion forecasting. Togal.AI covers Automatic space detection, Drawing comparison, Natural language search, Automated counts.
Answered from the vendors’ own pages
Briq: Does Briq replace my construction accounting system?
No. It reads from Vista, Sage or similar and automates the reporting and forecasting layer above them. You keep the ERP.
Togal.AI: What does Togal.AI cost?
$299 per user per month billed annually for one or two licences. Three or more users are quoted individually.
Briq: What does it cost?
Briq does not publish pricing. Contracts are scoped by module, entity count and transaction volume and quoted annually.
Togal.AI: Can I pay monthly?
No. The published Growth plan requires annual billing.
Briq: How long does implementation take?
Expect months rather than weeks, because most of the work is mapping and cleaning job cost data from the existing ledger.
Togal.AI: Does it replace an estimating system?
No. It produces quantities. Rates, markup and bid assembly still happen in your estimating software or a spreadsheet.
Briq: Is it useful for a single-entity contractor?
Less so. The strongest case is multi-entity consolidation and high invoice volume; a small contractor gets thinner returns.
Togal.AI: Who owns the drawings and takeoffs I upload?
You do, and quantities export to Excel, but check the contract for how uploaded drawing sets are retained and whether they inform model training.
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