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Construction · head to head

Assignar vs Togal.AI

Assignar logo

Assignar

Construction

Crew, equipment and compliance dispatch for self-perform and speciality contractors

From
On request
Rated
-
Full reviewWebsite
Togal.AI logo

Togal.AI

Construction

Automated drawing takeoff that measures and labels spaces without manual tracing

From
$299/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Assignar it is built for contractors who own crews and plant, so a general contractor coordinating subcontractors gets little from it beyond its own self-perform scopes.; 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: Assignar covers Crew and equipment scheduling, 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 Assignar and Togal.AI actually diverge.

Attributes where Assignar and Togal.AI differ
AttributeAssignarTogal.AI
Starting priceOn request$299/month
Pricing modelquotePer user per month
PlatformsWeb, iOS, AndroidWeb

Identical on both: free tier (No), 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 Assignar

  • Crew and equipment scheduling
  • Digital dockets and timesheets
  • Compliance and competency tracking
  • Forms and inspections
  • Offline mobile capture
  • Production and cost 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.

Assignar

  • A civil contractor scheduling crews and plant across multiple sites from one dispatch boardnot Togal.AI
  • A concrete or earthworks subcontractor replacing paper dockets that arrive three days latenot Togal.AI
  • A contractor that must prove operator competency and induction status on regulated sitesnot Togal.AI
  • A self-perform contractor comparing actual crew hours against estimated production ratesnot Togal.AI

Togal.AI

  • A commercial general contractor bidding repetitive multifamily or hospitality floor plates where room-by-room area takeoff dominates the effortnot Assignar
  • An estimating team that needs to requantify quickly when an architect issues a revised set two days before a bidnot Assignar
  • A finishes subcontractor pricing flooring, paint and ceiling areas across hundreds of roomsnot Assignar
  • A preconstruction group producing early order-of-magnitude budgets from schematic plans before a full estimate is justifiednot Assignar

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Assignar

  • It is built for contractors who own crews and plant, so a general contractor coordinating subcontractors gets little from it beyond its own self-perform scopes.
  • It is not an accounting or payroll system, so the value depends on a clean integration to your finance system and on someone owning the reconciliation when hours disagree.
  • Australian origins show in terminology and compliance defaults, and North American users spend setup time translating concepts such as tickets and inductions into local equivalents.
  • Offline capture works, but photo-heavy forms on poor connections remain the weak point and should be tested on your worst site before a full rollout.
  • Supervisors have to maintain the schedule for the reporting to mean anything, and dispatchers used to a whiteboard resist that for months unless the change is enforced.

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

Assignar

On request
  • Assignar$undefined/year
    • Crew and equipment scheduling
    • Digital dockets and timesheets
    • Compliance tracking

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 Assignar if

  • You need crew and equipment scheduling.
  • You work on Web, iOS, Android.
  • You also want digital dockets and timesheets.
Assignar review

Choose Togal.AI if

  • You need automatic space detection.
  • You also want drawing comparison.
Togal.AI review

Questions people ask

Is Assignar or Togal.AI better?
Neither clearly leads. Assignar 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, Assignar or Togal.AI?
Assignar starts at On request and Togal.AI at $299/month.
Does Assignar or Togal.AI run on more platforms?
Assignar runs on Web, iOS, Android. Togal.AI runs on Web.
What is Assignar best used for?
Assignar is most often used for a civil contractor scheduling crews and plant across multiple sites from one dispatch board, a concrete or earthworks subcontractor replacing paper dockets that arrive three days late, a contractor that must prove operator competency and induction status on regulated sites, a self-perform contractor comparing actual crew hours against estimated production rates. Of those, a civil contractor scheduling crews and plant across multiple sites from one dispatch board and a concrete or earthworks subcontractor replacing paper dockets that arrive three days late are not what Togal.AI is typically brought in for.
What can Assignar do that Togal.AI cannot?
Assignar covers Crew and equipment scheduling, Digital dockets and timesheets, Compliance and competency tracking, Forms and inspections. Togal.AI covers Automatic space detection, Drawing comparison, Natural language search, Automated counts.

Answered from the vendors’ own pages

Assignar: Is this for general contractors or subcontractors?

Speciality and self-perform contractors. The unit of work is a crew and a machine on a shift, which is not how a general contractor coordinates trades.

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.

Assignar: Does the mobile app work without signal?

Yes, entries are captured offline and synchronised later. Test it with photos attached on your worst site, because that is where sync problems appear.

Togal.AI: Can I pay monthly?

No. The published Growth plan requires annual billing.

Assignar: Does it handle payroll?

No. It captures hours and quantities and passes them to your payroll or enterprise resource planning system.

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.

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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