Artificial intelligence for contractors and builders
Claims, contracts, method statements, and the folder of the last similar project — searchable by the people on the job, in Persian and English.
Request a consult for your contracting company.
How contractors are using AI
Architecture, engineering, and construction firms are past the slide deck. The work that moves is still documents: bids, variations, and what the site is allowed to do.
Bids and variations
Teams draft a first answer from previous bids, bills of quantities, and the employer's requirements, then a person checks the numbers.
Contract and claim files
Correspondence, notices, and the contract itself stay in one place, so a delay claim starts from the clause and the letter, not from memory.
Method statements and HSE
Site staff ask a plain question and get the method statement or the permit rule that applies, with the document attached.
Progress and reporting
Weekly reports, meeting minutes, and client updates are assembled from the project record instead of rewritten from a blank page.
Specifications and submittals
Product data, standards, and the spec section are compared before a submittal goes out.
Handover when people leave
The project engineer who knew why a detail changed should not be the only copy of that decision.
What the published research shows
Adoption is wide. Scaling past a pilot is still the hard part.
of construction and engineering businesses in six Asia-Pacific markets use AI or machine learning, up from about a quarter in 2023
Deloitte and Autodesk, State of Digital Adoption in the Construction Industry, 2026
of respondents in a global construction survey reported no AI in the organization; 34% were in early pilots
RICS, Artificial Intelligence in Construction, 2025
of surveyed investors planned to put more money into AI than the year before
RICS, Artificial Intelligence in Construction, 2025
annual value McKinsey estimates AI and other automation could unlock for US architecture, engineering, and construction by 2030
McKinsey, How AI is reshaping the future of the AEC industry
Figures come from the published surveys and case reports named on each card. They describe those samples, not a promise of the same result.
What Convex puts in front of the team
A contractor does not need an internal AI team to put the project archive in front of the people who bid, build, and close claims.
Several models
Pick the model for the task from several leading models, in one place.
Specialized assistants
Assistants for bids, claims, method statements, and client reports, built by the people who run those jobs.
A personal assistant
Each person has an assistant tuned to how they work.
Workspace assistants
Shared assistants that keep the company's context for the whole team.
Search over your documents
Answers come from your own procedures, contracts, and records, with the source attached.
Documents out
Word files and images today. CSV export is planned.
A cap per person
Token use is visible per person, and the spend can be exported.
Adoption dashboard
See where AI is actually being used, and where it is not.
Cloud, or entirely on your own infrastructure
The same product. The difference is where the data sits.
Cloud
What is available today, hosted.
- Access to several leading models
- Specialized, personal, and workspace assistants
- Search over the company's documents
- Word documents and images
- Token-use tracking and reports
- Adoption dashboard
On-premise
Full control inside your environment, including a network with no outbound connection.
Everything in Cloud, plus:
- Your own model endpoints
- Offline licensing and payment for a disconnected site
- Assistants and workflows built for your process
Put one live project into it
Bring a contract, a claim file, or a set of method statements. We will map where an assistant actually saves a week.