Your whole go-to-market loop, on one data layer
Map the market, build the list, keep an eye on competitors — the loop a GTM team runs every week. Connect NeuralVerge to the agent you already work in and run it in one conversation, on data read at the moment you ask.
What you ask, and what comes back
“Which B2B SaaS startups in Europe raised a Seed or Series A in the last 90 days and are hiring for sales roles?”
A shortlist of accounts with the round and the hiring signal behind each one.
| Company | Round | Announced | Open sales roles |
|---|---|---|---|
| Finlo | Series A | 6 weeks ago | 3 |
| Cartora | Seed | 3 weeks ago | 2 |
| Nexbill | Series A | 9 days ago | 5 |
| Ledgio | Seed | 2 months ago | 1 |
Illustrative output — company and contact names are fictional.
Bought lists, separate tools, late news
Outbound, market research and competitor analysis each get their own page. This one is about running them as a single loop — because that is how a small GTM team actually ships a campaign.
A purchased database starts going stale the day it lands — people change titles, change companies, and a niche ICP was often thin in it to begin with. Other teams are emailing the same rows.
Your agent queries the sources at request time, so titles, companies and funding reflect what the sources show today — not what a vendor exported last quarter.
A list vendor, an enrichment tool and a competitor tracker — each with its own seats, credits and export format, and someone stitching the CSVs together in between.
Company, funding, people and review lookups, enrichment, search and page extraction all sit behind one API key, over MCP or REST, drawing on one monthly points balance.
A pricing change, a key hire or a quiet launch sits in a tab nobody had time to check — so you hear about it from a prospect, after the campaign is already live.
Ask your agent to run the same competitor check every week. It pulls launches, reviews, news and hiring and posts a short summary where your team already reads.
Start in three steps
Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client. One connection gives the agent every data source, search and page extraction.
Describe the market to map, the list to build or the competitor to watch in plain language. The agent picks the lookups and fills in the parameters.
Structured records come back, not pages to read through. The agent writes them to a sheet, your CRM or a Slack channel through the integrations it already has.
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"
Set it up once, let your agent repeat it
Standing plays, scheduled in your agent. Each run pulls fresh data from NeuralVerge and lands the result where your team already works.
Reach out the day a signal shows up.
- Funding and hiring signals on target accountsSlack
- Brief for today's callsChat
Start the week with accounts to work.
- This week's target listSheet
- Find and validate new contactsCRM
- Competitor launches, reviews and hiringSlack
Prioritise on this month's market, not last quarter's.
- Refresh the market mapSheet
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
Funding rounds, investors, launches and open roles at young companies.
See the sourcesCompany profiles, competitors, news, and software reviews and ratings.
See the sourcesPublic people and company profiles, people search and employee lists.
See the sourcesFinding and validating work emails and phone numbers.
See the sourcesCommon questions
That is the case this loop is built for: the agent searches startup and funding data, company profiles, people profiles and the open web, where niche companies tend to leave a footprint even when a bought database skipped them. The honest caveat: if your buyers have no public footprint at all, no data source will produce them.
Run the whole loop from one agent
Map the market, build this week's list and see what competitors shipped — over MCP or REST, on one API key.