
Guide
How to qualify public bids with AI you can check
What to ask of every bid before you price it, and which questions AI answers well.

Specifications, addenda, drawings, minutes and budgets, so no answer rests on the part that fit in a chat window.
When the package does not say, Capveon says so instead of guessing.
First drafts written from your past responses, templates and price lists, for your team alone.
Capveon reads every page of what it is asked about: thousands of pages per bid, drawings and CAD files included, and reads again when anything changes.
Ask about a bond, an approved equal or a pre-bid date and the answer links to the page it came from. A reviewer checks it in seconds.

Does this bid allow our clarifier?
Yes. Section 46 43 21 lists your product as an approved equal. Substitutions need written approval 10 days before bids are due.
Finding named products, reading dates, rating a signal and drafting a response are different jobs. Each has its own benchmark on real bid documents, and a change ships only when it clears that bar.
99.4%of named products found across 295 bid documents

Every product reads from the same record of each public buyer.

Guide
What to ask of every bid before you price it, and which questions AI answers well.

Guide
Sources, citations, training on your data and approvals: the questions to put to any vendor.

Free tool
Send one public bid. We send it back read for your products, each answer with its page.
Something else? Talk to us
Capveon AI is the AI inside Capveon. It reads bids, meetings and budgets, answers questions with the page behind each answer, drafts documents, fills forms and keeps Salesforce, HubSpot and Slack current, and a person approves anything that leaves Capveon.
Each task is measured on its own benchmark of real documents before a model or prompt ships. In our benchmark of 295 bid documents, it found 99.4% of the named products a reference read found. Every answer cites its page, so a person can check it.
No. What you connect is used to rank, qualify and draft for your team alone, and none of it is used to train a model.
What your team tells it and what it learns from your work: bonding limits, products, approved equals, partners, and past wins and losses. Your team can read and edit what is remembered.
It reads and drafts on its own. Anything that sends a message or writes to another system waits for a person on your team to approve it.

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