Find the tenders worth bidding on, and know who's bidding
Public tenders are published, but scattered across portals in different formats and languages. Your agent finds notices with web search, reads them into structured fields, and checks the companies involved against official registries.
What you ask, and what comes back
“Find open public tenders in the Nordics for warehouse management software, with deadline, buyer and estimated value.”
Notices from different portals turned into one table with the same fields.
| Buyer | Country | Deadline | Est. value |
|---|---|---|---|
| Regional health authority | Norway | In 3 weeks | NOK 4.5M |
| City logistics department | Sweden | In 5 weeks | SEK 2.8M |
| National defence agency | Finland | In 6 weeks | Not stated |
| Port authority | Denmark | In 2 weeks | DKK 1.9M |
Illustrative output — company and contact names are fictional.
Portals, PDFs and partners you haven't checked
Bid teams lose time before they write a word: finding the right notices, reading them, and finding out who else is in the room.
Every buyer publishes in a different place, format and language — so someone spends mornings running the same search on a dozen sites.
Your agent searches for notices that match your criteria and extracts the same fields from each, whatever portal they sit on.
Eligibility rules, lots and scoring are buried in long notices and annexes, and a missed requirement means a disqualified bid.
Page extraction turns a notice into the fields your bid/no-bid decision needs, in the schema you define.
A subcontractor looks solid until you find out it's in liquidation; a rival's track record is guessed from its website.
Registry records and filings show status, age, directors and recent changes for companies across many countries.
Start in three steps
Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client. One connection covers web search, page extraction and company registries.
Tell the agent your categories, countries, contract sizes and the fields you want from every notice.
Get a table of matching tenders with requirements extracted and the companies involved checked — in a sheet or your CRM.
Claude Code and Claude Desktop: run this once. It registers NeuralVerge as an HTTP MCP server, and its tools appear in your next conversation. Replace YOUR_ACCESS_TOKEN with your NeuralVerge token.
claude mcp add --transport http neuralverge \ https://api.neuralverge.ai/functions/v1/mcp-server \ --header "Authorization: Bearer YOUR_ACCESS_TOKEN"
Never miss a deadline you'd have bid on
Standing searches, scheduled in your agent. Each run pulls fresh results through NeuralVerge and lands them where your bid team works.
See new notices the day they're published.
- New tenders matching your criteriaSlack
Plan the week's bids.
- Pipeline of open tenders and deadlinesSheet
- Requirements extracted for shortlisted bidsDoc
Know who you're working with.
- Registry check on partners and subcontractorsDoc
Schedules run in your agent or your own code. NeuralVerge answers the lookups; it does not run or send anything on its own.
The sources this runs on
Official company records, filings, officers and status from national registries.
See the sourcesCompany profiles, news and reviews for the suppliers you meet.
See the sourcesPublic company pages and people profiles for the teams behind a bid.
See the sourcesFinding and validating work emails for the people you need to reach.
See the sourcesCommon questions
No. Tenders are found through web search across public portals and read with page extraction, and companies are checked against the registry sources in the catalog. That makes it flexible across countries, but coverage depends on what is publicly reachable.
Spend bid time on bids, not on searching
Find notices, extract requirements and check companies — from the agent you already use.