Answer first
TL;DR
Drawer AI ranks first in this frozen candidate universe. Boon is the closest alternative, while Trimble Estimation MEP fits a different operating profile. The result uses current primary-source documentation and a weighted scorecard. Buyers should run the same industry-specific records through at least two finalists before signing.
Research notes
Which AI electrical estimating software ranks first?
Drawer AI ranks first at 7.9/10. Electrical takeoff review depends on drawing sets, addenda, symbols, assemblies, labor assumptions, alternates, exclusions, and revision history. The score reflects documented capability and editorial analysis. It does not represent hands-on testing, a customer survey, or a guarantee of results.
Scored shortlist
Quick comparison
| Rank | Product | Score | Best for |
|---|---|---|---|
| 01 | Drawer AI | 7.9/10 | Electrical estimators evaluating an AI-centered takeoff workflow |
| 02 | Boon | 7.5/10 | Electrical teams testing AI-assisted takeoff and estimating |
| 03 | Trimble Estimation MEP | 7.5/10 | Established MEP teams needing estimating depth and connected workflows |
| 04 | Bobyard | 7.1/10 | Electrical contractors comparing takeoff automation |
| 05 | Orys | 6.7/10 | Estimators wanting an AI-first review candidate |
| 06 | Kreo | 6.7/10 | Teams needing collaborative takeoff and estimating tools |
The Rankings Desk receives no payment for placement. Links go to official product pages. Inclusion, scoring, and order were frozen before the article was drafted.
Frozen method
What qualified for this comparison?
The candidate universe includes products with current official documentation for the core workflow in this category. A product also needed enough public detail to score industry fit, workflow depth, AI evidence, measurement, buyer clarity, and controls. Missing public evidence lowers the relevant score. It is never treated as proof that a private feature does not exist.
Product analysis
What does the public evidence support?
Each entry separates provider documentation, editorial analysis, buyer fit, and remaining verification work.
Drawer AI
Best for: Electrical estimators evaluating an AI-centered takeoff workflow
Drawer publishes an AI-focused takeoff platform for construction estimating. In the AI electrical estimating software scorecard, Drawer AI earns 7.9 because the cited page most clearly supports ai takeoff positioned for electrical construction.
Pros
- Drawer publishes an AI-focused takeoff platform for construction estimating.
- A clean drawing set demonstration can verify how Drawer AI applies ai takeoff positioned for electrical construction to buyer-controlled records.
Cons
- Public pricing and project-specific accuracy evidence are limited.
- The alternate case remains unproven until Drawer AI produces a reviewable result and export.
Research and pricing details
Primary source: Drawer AI electrical takeoff overview
Primary source:Official product documentation
Boon
Best for: Electrical teams testing AI-assisted takeoff and estimating
Boon publishes a dedicated electrical AI product page. In the AI electrical estimating software scorecard, Boon earns 7.5 because the cited page most clearly supports electrical-specific ai positioning.
Pros
- Boon publishes a dedicated electrical AI product page.
- A low-quality scan demonstration can verify how Boon applies electrical-specific ai positioning to buyer-controlled records.
Cons
- Independent accuracy and large-project evidence were outside this review.
- The symbol conflict case remains unproven until Boon produces a reviewable result and export.
Research and pricing details
Primary source: Boon electrical AI overview
Primary source:Official product documentation
Trimble Estimation MEP
Best for: Established MEP teams needing estimating depth and connected workflows
Trimble documents MEP estimating and connected construction workflows. In the AI electrical estimating software scorecard, Trimble Estimation MEP earns 7.5 because the cited page most clearly supports mep estimation inside a mature construction stack.
Pros
- Trimble documents MEP estimating and connected construction workflows.
- An addendum demonstration can verify how Trimble Estimation MEP applies mep estimation inside a mature construction stack to buyer-controlled records.
Cons
- Buyers should confirm which current functions use AI and how they are packaged.
- The scope exclusion case remains unproven until Trimble Estimation MEP produces a reviewable result and export.
Research and pricing details
Primary source: Trimble Estimation MEP overview
Primary source:Official product documentation
Bobyard
Best for: Electrical contractors comparing takeoff automation
Bobyard publishes an electrical takeoff and estimating workflow. In the AI electrical estimating software scorecard, Bobyard earns 7.1 because the cited page most clearly supports dedicated electrical trade page.
Pros
- Bobyard publishes an electrical takeoff and estimating workflow.
- An alternate demonstration can verify how Bobyard applies dedicated electrical trade page to buyer-controlled records.
Cons
- Buyers need to validate supported drawing types and revision handling.
- The estimator correction case remains unproven until Bobyard produces a reviewable result and export.
Research and pricing details
Primary source: Bobyard electrical estimating overview
Primary source:Official product documentation
Orys
Best for: Estimators wanting an AI-first review candidate
Orys publishes AI-supported estimating capabilities for construction buyers. In the AI electrical estimating software scorecard, Orys earns 6.7 because the cited page most clearly supports ai construction estimating workflow.
Pros
- Orys publishes AI-supported estimating capabilities for construction buyers.
- A symbol conflict demonstration can verify how Orys applies ai construction estimating workflow to buyer-controlled records.
Cons
- Electrical trade depth and export behavior require a controlled test.
- The export to estimate case remains unproven until Orys produces a reviewable result and export.
Research and pricing details
Primary source: Orys AI estimating overview
Primary source:Official product documentation
Kreo
Best for: Teams needing collaborative takeoff and estimating tools
Kreo documents electrical estimating and takeoff capabilities. In the AI electrical estimating software scorecard, Kreo earns 6.7 because the cited page most clearly supports electrical estimating in a collaborative workspace.
Pros
- Kreo documents electrical estimating and takeoff capabilities.
- A scope exclusion demonstration can verify how Kreo applies electrical estimating in a collaborative workspace to buyer-controlled records.
Cons
- The buyer should verify AI limits, exports, and estimating database fit.
- The clean drawing set case remains unproven until Kreo produces a reviewable result and export.
Research and pricing details
Primary source: Kreo electrical estimating overview
Primary source:Official product documentation
Research notes
How should buyers test these products?
A useful evaluation uses controlled records and written acceptance criteria. Demonstrations should show the record before automation, the proposed action, the human decision point, the completed record, and the recovery path.
- Run a clean drawing set case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run a low-quality scan case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run an addendum case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run an alternate case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run a symbol conflict case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run a scope exclusion case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run an estimator correction case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
- Run an export to estimate case with the same seed data in every finalist. Record the input, automated action, human owner, final record, correction path, and export result.
Keep screenshots, exports, timestamps, and exception notes. A polished demonstration earns no credit when the product cannot reproduce the accepted result with buyer-controlled data.
Frozen method
How were the products scored?
The scorecard was frozen before scoring: Industry fit 24%, Workflow depth 20%, AI evidence 18%, Measurement 16%, Buyer clarity 12%, Controls 10%. Each criterion uses a 0 to 10 scale. Exact weighted totals set the order before one-decimal display rounding.
| Rank | Product | Industry fit | Workflow depth | AI evidence | Measurement | Buyer clarity | Controls | Exact | Display |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Drawer AI | 9 | 9 | 9 | 9 | 7 | 0 | 7.860 | 7.9 |
| 02 | Boon | 9 | 9 | 9 | 7 | 7 | 0 | 7.540 | 7.5 |
| 03 | Trimble Estimation MEP | 9 | 9 | 7 | 9 | 7 | 0 | 7.500 | 7.5 |
| 04 | Bobyard | 9 | 7 | 9 | 7 | 7 | 0 | 7.140 | 7.1 |
| 05 | Orys | 7 | 7 | 9 | 7 | 7 | 0 | 6.660 | 6.7 |
| 06 | Kreo | 7 | 7 | 9 | 7 | 7 | 0 | 6.660 | 6.7 |
Each criterion uses its own evidence anchor. Scores are assigned from current official documentation before weighting, with missing public evidence reducing the relevant score. Missing evidence lowers a score without proving that a private feature is absent.
| Criterion | Strong | Useful | Limited | Not established |
|---|---|---|---|---|
| Industry fit | 9: dedicated vertical records and use cases | 7: clear category fit with one material gap | 5: adjacent or partial category fit | 0: no qualifying category support |
| Workflow depth | 9: connected workflow documentation | 7: useful workflow with a material break | 5: partial or adjacent workflow | 0: no qualifying workflow support |
| AI evidence | 9: dedicated, current documented AI or automation actions | 7: useful documented capability with a material limit | 5: partial, adjacent, or lightly documented capability | 0: no qualifying support |
| Measurement | 9: direct reporting, export, or audit evidence | 7: useful measurement with a material gap | 5: partial reporting or indirect visibility | 0: no qualifying measurement support |
| Buyer clarity | 9: clear public scope, availability, packaging, and implementation detail | 7: useful buyer detail with a material unknown | 5: partial commercial or implementation clarity | 0: no qualifying buyer information |
| Controls | 9: permissions, review, correction history, and portability are all documented | 7: most control areas are documented with one material gap | 5: partial controls documentation | 0: the reviewed sources do not establish the full control set |
| Product | Industry-fit rationale | Workflow-depth rationale | AI evidence rationale | Measurement rationale | Buyer-clarity rationale | Controls rationale |
|---|---|---|---|---|---|---|
| Drawer AI | 9 (strong evidence): the official page supports electrical estimators evaluating an ai-centered takeoff workflow and identifies ai takeoff positioned for electrical construction. | 9 (strong evidence): Drawer publishes an AI-focused takeoff platform for construction estimating. The documented limitation is: Public pricing and project-specific accuracy evidence are limited. | 9 (strong evidence): the reviewed source describes ai takeoff positioned for electrical construction. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 9 (strong evidence): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://drawer.ai/ supplies the reviewed scope. Public pricing and project-specific accuracy evidence are limited. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
| Boon | 9 (strong evidence): the official page supports electrical teams testing ai-assisted takeoff and estimating and identifies electrical-specific ai positioning. | 9 (strong evidence): Boon publishes a dedicated electrical AI product page. The documented limitation is: Independent accuracy and large-project evidence were outside this review. | 9 (strong evidence): the reviewed source describes electrical-specific ai positioning. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 7 (useful evidence with a material gap): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://www.getboon.ai/electrical supplies the reviewed scope. Independent accuracy and large-project evidence were outside this review. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
| Trimble Estimation MEP | 9 (strong evidence): the official page supports established mep teams needing estimating depth and connected workflows and identifies mep estimation inside a mature construction stack. | 9 (strong evidence): Trimble documents MEP estimating and connected construction workflows. The documented limitation is: Buyers should confirm which current functions use AI and how they are packaged. | 7 (useful evidence with a material gap): the reviewed source describes mep estimation inside a mature construction stack. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 9 (strong evidence): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://www.trimble.com/en/products/estimation-mep supplies the reviewed scope. Buyers should confirm which current functions use AI and how they are packaged. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
| Bobyard | 9 (strong evidence): the official page supports electrical contractors comparing takeoff automation and identifies dedicated electrical trade page. | 7 (useful evidence with a material gap): Bobyard publishes an electrical takeoff and estimating workflow. The documented limitation is: Buyers need to validate supported drawing types and revision handling. | 9 (strong evidence): the reviewed source describes dedicated electrical trade page. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 7 (useful evidence with a material gap): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://www.bobyard.com/trade/electrical/ supplies the reviewed scope. Buyers need to validate supported drawing types and revision handling. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
| Orys | 7 (useful evidence with a material gap): the official page supports estimators wanting an ai-first review candidate and identifies ai construction estimating workflow. | 7 (useful evidence with a material gap): Orys publishes AI-supported estimating capabilities for construction buyers. The documented limitation is: Electrical trade depth and export behavior require a controlled test. | 9 (strong evidence): the reviewed source describes ai construction estimating workflow. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 7 (useful evidence with a material gap): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://orysai.com/ supplies the reviewed scope. Electrical trade depth and export behavior require a controlled test. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
| Kreo | 7 (useful evidence with a material gap): the official page supports teams needing collaborative takeoff and estimating tools and identifies electrical estimating in a collaborative workspace. | 7 (useful evidence with a material gap): Kreo documents electrical estimating and takeoff capabilities. The documented limitation is: The buyer should verify AI limits, exports, and estimating database fit. | 9 (strong evidence): the reviewed source describes electrical estimating in a collaborative workspace. The addendum case is reserved for a buyer test when the public page leaves behavior unclear. | 7 (useful evidence with a material gap): the official description supplies the reporting or output evidence quoted in the claims roster. The alternate case checks whether that output remains traceable. | 7 (useful evidence with a material gap): the public page at https://www.kreo.net/trades/electrical-estimating-software supplies the reviewed scope. The buyer should verify AI limits, exports, and estimating database fit. | 0 (not established by the reviewed sources): the reviewed public source did not establish permissions, human review, correction history, and portable audit records as one complete control set. |
Research notes
What commercial terms need written confirmation?
Ask each provider to price the same users, locations, units or jobs, AI usage, onboarding, migration, support, integrations, storage, and export needs. Confirm which capabilities are generally available, beta, add-on, usage-based, or limited by plan. Put implementation milestones, acceptance criteria, data ownership, security terms, renewal, cancellation, and termination assistance in writing.
Name internal owners for configuration, data quality, automation review, exceptions, and periodic regression tests. Preserve accepted test cases so the team can rerun them after a model, integration, workflow, or pricing change.
Evidence limits
What are the limitations of this ranking?
This review relies on current company-published primary sources. Provider pages establish documented capabilities and claims. They do not independently prove accuracy, uptime, adoption, savings, or business outcomes. The Rankings Desk did not enter private accounts, perform migrations, negotiate contracts, or interview current customers for this draft.
The bounded universe cannot include every product. Scores can change when providers publish material changes to workflow scope, AI functions, measurement, commercial clarity, controls, or portability. Buyers remain responsible for security, legal, accounting, safety, and operational review.
Buyer questions
Frequently asked questions
What is the best AI electrical estimating software?
Drawer AI ranks first in this candidate universe at 7.9/10. Boon and Trimble Estimation MEP deserve direct tests when their best-fit profiles match the buyer's operating model.
Does the highest score guarantee the best result?
No. The score compares documented fit under one published method. Data quality, configuration, staff adoption, integrations, contract terms, and implementation discipline can change the result.
How many finalists should a buyer test?
Test at least two. Use identical records, scenarios, users, integrations, and export requirements. Record every missing field, silent change, unowned exception, and failed handoff.
When should this ranking be reviewed again?
Review it when a provider materially changes product scope, AI features, pricing, controls, data portability, or implementation terms. The same frozen criteria should govern the update.
Research notes
Sources
Research notes
Corrections and additional evidence
Submit current documentation or a correction for editorial review at no charge.
Improve the record
Have stronger evidence?
Companies can submit current documentation, pricing, corrections, and working demonstrations for editorial review at no charge.