Overview

Clodura.AI is a go-to-market platform for B2B sales teams. It combines a contact and company database with data enrichment, buying signals and outreach tools, aiming to cover the process from finding prospects to closing deals in one product. The company says it draws on more than 50 data providers and over 20 phone sources.

Main features

For prospecting, Clodura offers B2B data lists, direct dial phone numbers, technology install base data that shows which tools a company uses, and organisation charts. A Chrome extension lets you look up contacts while browsing.

For enrichment, it can fill in missing fields on your records, enrich leads from website forms, and clean up CRM data through APIs. Intelligence features include buyer intent, hiring intent and other triggers that suggest when a company may be ready to buy.

For engagement, sales cadences let you run multi-step outreach, and engagement tools track responses. The site also mentions integrated calling. Clodura integrates with Salesforce, Pipedrive, Freshsales, HubSpot, Zoho and Microsoft Dynamics 365.

Atlas

Clodura's newer product is Atlas, which it calls a governed agentic SDR. It is an AI agent that helps with sales development work, with an approval step before actions are scaled up. Use cases are listed for founders, SDR teams, RevOps and enterprise teams.

Pricing

You can sign up for free, and Atlas can be tried for free. Paid plans are based on credits and features; the pricing page compares them in detail.

Who it is for

It suits startups doing their own outbound sales, SDR and business development teams, RevOps staff maintaining CRM data quality, and companies looking for an alternative to larger data providers. The site publishes comparisons with ZoomInfo, Apollo, Lusha and others, which are its own marketing.

Things to consider

Contact data quality varies by country and industry, so test accuracy on a sample before buying many credits. Cold outreach is regulated: follow GDPR, CAN-SPAM and local rules, and respect opt-outs. Any AI agent sending messages should be reviewed carefully at first, as poor targeting can harm your domain reputation.

Start with a small pilot list, measure bounce and reply rates, and only then expand to larger campaigns or automated sequences.