Enterprise is saturating. Every vendor is moving downstream. But non-tech SMBs don't produce the signals outbound tools are built on. Varro fills the gap.
Upload any list of SMB domains. No minimum size. No required metadata. The domain is the starting point.
Each account is profiled from its public presence — what the business does, who it serves, and how it operates in context.
Profiles are cross-referenced and validated against live sources. Signal quality is checked before scoring begins.
Accounts scored against your specific seller context — not a fixed ICP. Ranked targets with outreach context, ready to act on.
Enterprise is saturating. Every outbound vendor is moving downstream into SMB. But non-tech SMBs don't produce the signals those tools are built on — no funding data, no hiring signals, no tech stack. Shallow data produces shallow personalization: bad copy, poor results, high churn.
SMB isn't a wrong market. It's an underserved signal environment. Standard enrichment scores targets against fixed ICP criteria — it doesn't account for who the seller is. What one business looks like from another's specific vantage point. That gap is what Varro fills.
AI-assisted outbound has been validated where structured signals exist — funded startups, tech companies, businesses with a traceable footprint. For everyone else, the research step is still manual, inconsistent, and unscalable.
Varro produces fit signal that accounts for the seller's position — not just the target's profile. The output isn't enrichment. It's positional inference. It sits upstream of sequencers and CRMs, and produces signal that generic tools structurally cannot.
Varro is currently in calibration against real non-tech SMB accounts. Limited access available to early teams running SMB outbound.