Everyone claims accurate data.
Here's how we actually prove it.
Static vendors are ~40% inaccurate. Email validators don't check if the person still works there. And no LLM can process millions of partial records against live sources with a confidence score on every output. Salmon does.
Three approaches. Three ways to get it wrong.
Every other approach to contact verification fails at a fundamental level. Not because the tools are bad — because they're answering the wrong question.
Email validators
ZeroBounce, Emailable, etc.Static databases
D&B, ZoomInfo, ApolloRaw LLMs
Claude, GPT, PerplexityAdaptive verification. Every record, every time.
Salmon doesn't apply a single fixed strategy to every record. It evaluates what signals are available, chooses the right verification path, and escalates when early results are inconclusive.
Standard verification
Corporate email + name + company → lightweight multi-source check
Deep investigation
Personal email only, or early signals inconclusive → extended source cascade
Four things no one else does at once.
Sources a raw LLM cannot access
Salmon has direct partnerships with commercial data providers and licensed access to platforms that restrict automated querying. When we verify a contact, we pull from a data layer that a prompt to Claude, Perplexity, or any general-purpose AI simply cannot reach.
Verifies the person, not just the inbox
For each record, Salmon looks for current employment evidence — not just email activity. The question we answer: does this person still work at this company, in this role? We cross-reference employment signals across multiple sources and return a status that reflects actual tenure.
Queries live at the moment of request
There is no Salmon database to go stale. When a record is submitted for enrichment, our system queries live sources in real time. You get the state of the world right now — not the state of the world when someone last ran a crawl.
Resolves identity from partial inputs
Most tools require a complete record to return anything useful. Salmon works with whatever signals are available — a name and company, a personal email, a geo alongside a job title. When a personal email is the only identifier, we treat it as a signal and attempt to find the person, then surface their current professional contact information.
Every record gets its own strategy.
Salmon doesn't apply a single fixed playbook. It evaluates what's available, chooses which sources to query, how deep to investigate, and when to escalate to a higher-confidence source if early signals are inconclusive.
See it work on your data.
Send us a sample from your CRM — messy, partial, stale, whatever you have. We'll run it through Salmon and show you what comes back, with confidence scores on every field.