02 / Find

Finds the companies that fit.

Describe your customer in plain English. We search the web and 30+ data providers, then check every company against your criteria.

A cut-paper picker on a ladder taking only the ripe oranges into a tagged basket, leaving the green ones on the tree
02Find

How it works

From a sentence to a qualified list.

Matched companies38 of 2,140
B2B SaaS200+ peopleUses Salesforce
  • Datadog6,500 people · NYC · Salesforce, hiring 40 AEs96
  • Figma1,600 people · SF · Salesforce, new RevOps lead91
  • Retool450 people · SF · Salesforce, Series C87
  • Vercel600 people · SF · HubSpot, not Salesforce74
  • Linear90 people · Remote · Under 200 people41
  1. 01

    Ask in plain English

    Skip the filters and saved searches. The agent searches across multiple data sources, cross-references the results, and returns a spreadsheet of companies and decision-makers.

  2. 02

    Layer on intent signals

    Surface companies that are in market, not just a fit on paper: open roles, recent funding rounds, tech stack changes, leadership changes, job board postings, social activity.

  3. 03

    Score with your own rules

    Tell the agent what qualified means to your team. It scores every lead on the signals you trust: ICP fit, buying intent, source quality, event engagement, product usage or CRM history.

  4. 04

    Route the best ones with a next step

    Leads that clear your threshold go into your CRM with an owner assigned and the rep notified in Slack. Lower-intent accounts stay in nurture.

Ask it like this

  • Find me 50 Series A fintech companies in NYC that just hired a Head of Sales

  • Get me every company that raised a Series B in the last 90 days and is hiring for SDRs

  • Score this conference attendee list and tell me which accounts sales should work first

  • Qualify every demo request using fit, pricing page visits, and CRM activity

In the product

One sentence in the chat becomes a sheet of 24 companies, with domain, industry and funding stage.

What it runs on

Where the companies come from.

  • A B2B company database

    Search by industry, size and location, up to 2,000 companies a search.

  • Crunchbase

    Filter by funding stage, amount, how recent the round was, category and location.

  • Lookalikes

    Give it companies you already sell to, and Ocean.io finds the ones that look like them.

  • The open web

    Web search, up to 250 searches in one call, for the markets no database covers.

  • Careers pages and job boards

    It finds a company's careers page and reads its open roles, so hiring becomes a signal.

  • Any public site

    Apify actors scrape the site your customers are listed on, from directories to event pages.

What it costs

Priced per result, in credits.

A credit costs $0.002 on the $20 Starter plan (10,000 credits) and less on larger plans. New accounts start with 2,000 free credits.

See plans
ActionCredits
Company search1 a row
Crunchbase searchUp to 100 rows1 a row
Web searchOnly when it returns results1
Lookalike company15
Find a careers page and its jobsFree

Questions

Do I need to learn filters?

No. Describe the companies you want in a sentence. The agent picks the sources, cross-checks them and returns a spreadsheet.

How does it qualify a lead?

With your rules. Tell it what qualified means, such as fit, hiring, funding or pricing-page visits, and it scores every row on those signals.

Where do the results go?

Into a sheet you can export to Google Sheets, HubSpot, Salesforce or CSV.

Your next customers are already out there.

Tell us who you are looking for. Orange Slice finds them, fills in the facts, and reaches out.

Start free. Grow when it works. See pricing