Kreo
Cloud takeoff with an AI operator inside.
Kreo positions Auto Measure and Caddie as tools that detect, measure, count, classify, and answer questions across construction drawings. Its workflows stay inside the Kreo takeoff environment.
Boon vs Kreo
Looking for a Kreo alternative that finishes the preconstruction handoff?
Kreo is a cloud-based AI takeoff and estimating platform with Auto Measure, cross-sheet drawing intelligence, and its Caddie agent. Boon takes a different route: it treats drawings and specifications as one package, flags conflicts, and returns a bid-ready result in the Slack channel your team already uses.
Async path: drop a plan set in the email. Gandalf reads it and sends the bid-ready package back, no call required.
Boon vs Kreo: AI takeoff workspace vs bid-ready response
Kreo describes a cloud workflow that detects elements, cross-references data across sheets, generates reports, and turns measurements into cost estimates. Boon is aimed at the team that wants the analysis and the handoff returned together, including spec-to-drawing conflict review.
Boon
An AI estimator that returns the package.
Boon reads the full plan-and-spec set, catches mismatches, and returns a bid-ready summary to the same collaboration tools the estimating team already uses.
Boon vs Kreo, side by side
A fair, factual comparison. Kreo facts below are drawn from the official source linked at the bottom of this page. Boon facts are grounded in the live product and accuracy pages.
| Capability | Kreo | Boon status and workflow |
|---|---|---|
| Drawing intelligence | Cloud-based detection, measurement, classification, and cross-sheet references. | Boon workflow Plan-and-spec reasoning with explicit spec-to-drawing conflict review. |
| AI operator | Caddie operates inside the Kreo takeoff software. | Workflow-dependent Boon returns a response through the existing team workflow. |
| Output | Flexible reports and cost estimates from the takeoff workspace. | Boon workflow Bid-ready package with quantities, context, and flagged conflicts. |
| Review model | Kreo publishes Auto Measure quality metrics on its official site. | Boon workflow Boon publishes F1 evidence by task, including known failure modes. |
| Deployment | Cloud-based access with the work performed in Kreo. | Workflow-dependent Results return in Slack, Microsoft Teams, Procore, or Autodesk Construction Cloud workflows. |
| Best fit to compare | Teams that want a configurable takeoff workspace and AI operator. | Boon workflow Teams that want plan-and-spec analysis delivered as a reviewable bid package. |
Competitor positioning verified from Kreo official site on 2026-09-20. We leave out claims that the source does not support.
Why teams compare Boon
Four reasons an estimating team looking for a Kreo alternative may evaluate Boon.
1 · More than measurement
The spec package is part of the answer.
Kreo is strong on drawing intelligence and measurement. Boon adds the specification package as a first-class input to the review, so discrepancies are part of the output.
2 · Less tool driving
Ask for the package, not a workspace.
Kreo gives estimators an AI-enabled takeoff environment. Boon is for teams that want to send the work in an existing channel and receive the finished analysis back.
3 · Evidence over one score
See where the model fails.
Boon publishes per-task F1 evidence and weak spots. Buyers can use that information to design a plan-set test that matches their trade mix.
4 · Test on your plans
Use your own bid as the benchmark.
The cleanest comparison is a representative plan-and-spec set. Boon can review the workflow with your team before you commit to a rollout.
Published Boon accuracy evidence
F1 is task-specific. Boon publishes both strong and weak areas, including known failure modes, so buyers can compare the model against their own trade mix. See the full evidence at /accuracy.
| Task or trade | Published result | Scope |
|---|---|---|
| Structural steel | F1 0.93-0.95 | Beam detection on published benchmark work. |
| Mechanical — HVAC fitting detection | F1 0.84 | Elbows, dampers, GRDs, and flex ducts in the combined pipeline. |
| Mechanical — straight ductwork detection | F1 0.85 | Straight duct segments with width measurements; flex duct detection is separately reported at F1 0.72. |
| Mechanical — flex duct detection | F1 0.72 | Known weak area for non-straight geometry. |
| Electrical | F1 0.64 | Electrical device detection, the hardest published pipeline, with known failure modes. |
| Published floors | Electrical >= 0.90 | Fixtures and conduit on the published floor; architectural >= 0.85 and mechanical >= 0.74 are also documented. |
These figures are published evidence for specific tasks, not a single blended accuracy promise. Run a representative plan-set evaluation before making a replacement decision.
See the difference on your own plans.
Book a 20-minute call and run a representative bid through the workflow. Or email a plan set to plans@getboon.ai and Gandalf returns a bid-ready package back in Slack.