We’re building the next generation of vertical AI for revenue teams
Vertical AI at the core
In recent years, sales and marketing teams have been flooded with new AI tools – but results have lagged far behind the hype. The promise was automation and precision; the reality has been generic AI outputs, noisy intent signals, and questionable ROI. Meanwhile, a new wave of AI-first GTM tools promises mass outreach and hyper-personalization – but these platforms are still built on the same shaky data foundation.
Most AI tools for GTM are horizontal: they assume every company and every buyer is essentially the same, and can be served by the same datasets. Onfire is vertical – designed to address the unique characteristics, challenges, and data opportunities of companies that sell to technical buyers (such as data, cybersecurity, and developer tools). This is what makes our data more contextually accurate - and enables our AI to deliver unparalleled ROI.
Better context, not more models
To win, teams need AI that can tell them which account to target, which stakeholder to approach, and identify the exact moment to act. But even the best models will fail to deliver if the underlying data is unreliable.
Onfire starts by solving the data problem – and we do this by combining two sources that no one else has:
- A proprietary data layer wired to reality from the public web – from developer communities to cybersecurity conferences.
- The living context of your customers, your company, your sales reps, and the activity you capture in your CRM.
The result: AI insights backed by traceable, prospect-level evidence.
From now on, every action is evidence-backed, every play is moment-driven, and every dollar is earned with context. We’re not adding another tool- we’re wiring the truth.
Vertical AI for GTM starts here.
The Onfire difference
A resolvable map of accounts, prospects, events, products, features, and outcomes. No more siloed objects; one truth for identities and intent.
Onfire ingest community messages, feature adoption, Online activity, executive sponsor churn - normalized into a consistent schema your AI can reason over
Every outreach, meeting, forecast change, and closed-won/-lost outcome flows back to refine the model. If it doesn’t learn from outcomes, it’s not AI
Connect the things that only you know - usage, contracts, support, billing – and data surfaced from communities, open source activity and online presence
Onfire identifies companies, prospects, and accounts across tools and datasets. No duplicates, no ghosts
Every insight is evidence-backed with a clear trail of where the data was sourced, when it was collected, and the confidence of the AI suggestion