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Sonar Labs

Sonar Labs is a construction-focused AI workspace that combines supplier material search, cross-document answers, and custom Construction GPTs trained on a team???s own files and prompts.

Sonar Labs groups three entry points on one platform: browse suppliers for project materials, query uploaded project documents for answers, and build private Construction GPTs with your instructions and source files (Sonar Labs, 2026). The Construction GPT flow asks for a name, system instructions, and optional uploads so estimators or PMs can spin up assistants without waiting on IT projects.

Privacy messaging states that each GPT stays with the creator and invited teammates, with uploads stored securely and no outside access to the custom model instance (Sonar Labs, 2026). That framing matters when you load bid books, specs, or owner contracts.

The vendor positions the suite as automation for workflows that eat field and office time, such as hunting supplier options or retrieving clauses buried in PDFs (Sonar Labs, 2026). It is not a replacement for your ERP or CDE; think of it as a reasoning layer on top of files you already control.

Pricing for paid tiers is not spelled out on the marketing pages reviewed; the Construction GPT builder invites users to start free. Confirm data residency, retention, and model-provider subprocessors before you load confidential bids.

Specifications

Pricing

Freemium

Platforms

Web

Used for

Document Q&ASupplier discoveryCustom assistant prototypingPreconstruction researchKnowledge sharing

Used by

EstimatorsProject EngineersProcurement CoordinatorsProject ManagersVDC Specialists

Tasks

Specification reviewBid analysisVendor researchInternal knowledge searchPrompt-based automation

Pros and cons

Pros

  • Fast path to a private GPT without coding
  • Covers both procurement browsing and document reasoning
  • Clear signup funnel for field and office testers
  • Keeps custom data inside the tenant per marketing copy

Cons

  • Thin public detail on enterprise controls compared to incumbents
  • You must govern what files users upload
  • Free tier limits are not enumerated on the pages reviewed
  • Does not replace formal submittal logs or ERP commitments

Key features

  • Material search: Surfaces supplier options aligned to project needs from inside the product (Sonar Labs, 2026).

  • Document search: Answers questions across uploaded construction documents (Sonar Labs, 2026).

  • Construction GPT builder: Creates custom assistants with prompts and files in a short setup flow (Sonar Labs, 2026).

  • Team sharing: Invites colleagues to shared GPTs while keeping data scoped to the workspace (Sonar Labs, 2026).

  • Example playbooks: Marketing shows estimator-style prompts such as crew composition for mass grading (Sonar Labs, 2026).

Pricing

Free Construction GPT builder

Contact sales

Marketing invites free signup; paid plans and limits are not detailed on sonarlabs.ai pages reviewed.

Enterprise (if available)

Contact sales

Contact Sonar Labs for SSO, security packets, or bulk licensing if offered.

Frequently asked questions

What is a Construction GPT in Sonar Labs?

It is a named assistant with your instructions plus optional PDFs or other files. After setup, teammates can chat with it for repeatable answers such as takeoff checks or method reminders (Sonar Labs, 2026).

Can competitors see our uploaded bids?

Marketing claims each GPT is private to you and invited users, with uploads secured from outside access. Validate that statement in your vendor security review and DPA before loading sensitive files (Sonar Labs, 2026).

Does Sonar Labs replace Procore or Autodesk Build?

No. It complements document and supplier workflows but does not host CDE records, RFIs, or financials. Plan which system remains authoritative for each document type (Sonar Labs, 2026).

Is there a free tier?

The Construction GPT page invites users to build for free. Enterprise pricing, SSO, and audit features require a sales conversation if they exist (Sonar Labs, 2026).

What should legal review before rollout?

Ask for subprocessors, model training policies, retention windows, and export tools. Map each GPT to a document control owner so supers do not upload owner-confidential files without permission (Sonar Labs, 2026).

How does material search differ from document search?

Material search orients around supplier discovery, while document search answers questions across your uploaded library. You may use both on the same account depending on packaging (Sonar Labs, 2026).

Tutorials and learning

Sources