Choose Funded & high-growth companies when you’re targeting companies by funding, growth, size band, or “tech/startup” characteristics — for example “Series B fintechs in London” or “high-growth SaaS with 200–500 staff”. Choose Local & service businesses when you’re targeting a trade or service in an area, like “roofers in Surrey”.
Creating the search
Go to Discovery → Search Agents, click Create New Search Agent, choose Find companies, then switch the toggle to Funded & high-growth companies.Pipeline
Pick which profile type matched companies should land in — Customer (ICP), Vendor (IVP), Partner (IPP), Supplier (ISP), or Competitor (CP). This decides which pipeline and module the companies appear in, exactly as it does for other Search Agents.Search details
Define what you’re looking for with structured filters. At least one filter is required.Advanced filters
Open Advanced filters to narrow further. All are optional and stack together:Live match count
As you build your filters, the form shows a live estimate — “~N companies match” — so you can gauge how broad or narrow your search is before you create it. Use it to strike the right balance between reach and relevance.Who to enrich (People)
Like other Search Agents, you can tell enrichment who to look for at each matched company — primary and fallback job functions, and your ideal economic buyer. You can also opt into deeper contact sourcing. See Enrichment and Enrichment Profiles for the full detail.Ideal Company Profile (optional, for scoring)
The structured filters do the hard filtering. On top of that, you can add an optional Ideal Company Profile — a short, plain-language description of your ideal company. Alva uses it to score how well each matched company fits, purely so you can prioritise the best-fit companies for outreach. This is scoring, not filtering — a low score never discards a company. The brief follows the same rules as any Search Agent description: it can only ask for things determinable from a company’s website (company type, industry, market, broad size tier), not headcount numbers, funding, technology stack, or hiring status. Alva validates it and suggests a fix if it contains something unmatchable. See what makes a good description.Result limit (your cost dial)
This engine is bounded by a result limit (default 25) rather than by geography. The search runs until it has imported that many companies, then pauses automatically so you can review before spending more.1
Start small
Leave the limit low — say 25 — when you first activate.
2
Review what came in
Check the companies and contacts that were imported. Are they the right fit?
3
Raise the limit
Happy? Increase the limit on the Search Agent page and the search resumes automatically, picking up where it left off.
This engine has no geography spread or throttle-speed setting — those apply only to the Local & service businesses engine. Here, pace is governed entirely by the result limit.
What happens after import
Each matched company is imported and then runs through the standard enrichment pipeline — contacts, emails, seniority ranking, and (if you set an Ideal Company Profile) a fit score. Once enriched, companies are ready for a BDR agent to work through, best-fit first.Editing a search
Edit the filters, brief, or result limit while the search is in draft or paused (pause it first if it’s active). Saving returns it to draft so re-activating runs cleanly against the new criteria. Companies already imported stay in your CRM — to find more under the new criteria, raise the result limit above the current count and re-activate. You’re never charged twice for the same company.Costs
Each company found uses credits, and enrichment is charged per company when contacts are found (plus the optional deeper Tier 2 Contact Search if you switch it on). The result limit keeps this predictable — you only ever spend up to the number of companies you’ve asked for. See Settings → Usage for a live breakdown and Understanding Credits for how billing works.Managing with Alva
You can set this up conversationally — just ask Alva:- “Find Series B AI companies in London.”
- “Set up a search for VC-backed cyber startups with 50–200 staff.”
- “Raise the limit on my fintech search to 100.”