AI revenue intelligence for technical-buyer GTM
Onfire is a revenue intelligence platform aimed at GTM teams selling to technical buyers. It combines a proprietary "Account Intelligence Graph" (built on the public footprint of 50M engineers) with a customer's first-party CRM data, using AI to surface ICP-fit accounts, high-intent buyers, and signals like new hires or OSS adoption, then acts on them via CRM updates and outreach sequences.
| Plan | Price | Included | Notable |
|---|---|---|---|
| Basic | Custom | 5,000+ credits 5-9 users | Prospect level signals, ICP targeting, Onboarding |
| Pro | Custom | 80,000+ credits 10-15 users | Prospect level signals, ICP targeting, Onboarding |
| Elite | Custom | Custom Unlimited | Prospect level signals, ICP targeting, Onboarding |
Checked 2026-08-06 against their pricing page. Vendors change pricing without notice.
Onfire is a revenue intelligence platform that fuses a company's own CRM/product data with a proprietary graph of public signals about engineers and companies, aimed specifically at GTM teams selling technical products to technical buyers. It is delivered through a web platform, an MCP server for conversational prospecting and CRM actions, and a REST Data Access API for enrichment and intent signals.
Sales development and revenue teams at B2B software companies selling to technical buyers (engineers, DevOps, platform teams) who need account-level visibility into hiring, OSS adoption, and public technical discussions that generic firmographic data providers do not surface.
All three published tiers (Basic, Pro, Elite) are custom-quoted with no listed starting price, and the Basic tier itself requires 5-9 users, so solo founders, very small teams, or anyone wanting transparent self-serve pricing will need to go through a sales demo just to learn the cost. The product is explicitly built around technical-buyer signals (OSS adoption, engineering hires); teams selling to non-technical buyers are working against its core data model rather than with it.
No curated rival set covers this tool yet, so these are simply other tools in the same architectural layer and product form. Treat it as a starting point, not a shortlist.
Onfire's proprietary data layer that connects a customer's first-party data (trial signups, CRM notes) with signal-based public data covering the footprint of 50M engineers, refined with AI to surface ICP-fit accounts and high-intent buyers.
Yes, the Onfire MCP connects CRM data with the Account Intelligence Graph and lets users ask prospecting questions and trigger CRM updates, alerts, or outreach sequences from a prompt, per the vendor's MCP page.
All three tiers (Basic, Pro, Elite) are custom-quoted rather than listed with fixed prices; Basic includes 5,000+ credits for 5-9 users and Pro includes 80,000+ credits for 10-15 users, both requiring a demo to get a quote.
We found no documented self-serve free trial; every plan and page routes to 'Get a demo,' so this appears to be a sales-led, demo-gated product. Confirm with the vendor.
The vendor's own product examples include new executive hires at closed-lost accounts, open-source adoption or hiring spikes at CRM accounts, and current customers publicly discussing competitor products.
This page tells you whether Onfire fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
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