Artificial intelligence for government contractors and suppliers
Tenders, compliance matrices, and the last proposal that won — answered from your own files, with a deployment that can stay inside your network.
Request a consult for your bid team.
How suppliers use AI on public work
The clock on a tender does not move because the archive is large. The companies writing responses are using assistants to find the last good answer and to check it against the invitation.
First drafts from the archive
A response starts from approved past performance, boilerplate, and the technical library, not from a blank document the night before submission.
Compliance against the invitation
Each requirement in the tender is lined up with the paragraph that answers it, so a missing section is visible before the deadline.
Evidence and certificates
Staff find the current certificate, the insurance, and the signed form without searching three shared drives.
What the contract actually says
After award, delivery teams ask questions of the signed contract and the clarifications, with the clause attached.
Work that cannot leave the building
Classified or commercially sensitive bids can run on an on-premise deployment, including a network with no outbound connection.
A budget per pursuit
Proposal work is easy to overspend. Each person has a balance, and a manager approves more.
What bid teams are reporting
The consistent finding is time on the first draft, not a higher win rate by itself.
average writing time per RFP in 2025, down from 30 hours the year before
Loopio, RFP Response Trends and Benchmarks, 2025
of response teams now use generative AI, double the share a year earlier
Loopio, RFP Response Trends and Benchmarks, 2025
of 172 proposal professionals said time saved on writing was the greatest return from AI
Lohfeld Consulting, poll of proposal professionals, 2025
reduction in average proposal hours reported for government contractors using generative AI
GovConWire, reporting a study cited by Deltek's Kevin Greenman, 2025
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
The archive of past bids stays inside your workspace. The assistant cites it. The person still signs the submission.
Several models
Pick the model for the task from several leading models, in one place.
Specialized assistants
Assistants for compliance matrices, past-performance writeups, and clarification questions.
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
Try it on one open tender
Bring the invitation and a redacted past proposal. We will show what a grounded first draft looks like.