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 raw 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. Salmon answers the right one.
Email validators
ZeroBounce, Emailable, etc.Static databases
D&B, ZoomInfo, ApolloRaw LLMs
Claude, GPT, PerplexityAI agents that adapt their verification strategy to every record.
Salmon's agents don't apply a single fixed strategy to every record. They evaluate what signals are available, choose the right verification path, and escalate when early results are inconclusive — the way a senior analyst would, at machine speed.
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 other platform — or AI tool — does at once.
AI agents with access raw LLMs don't have
Salmon's agents have direct partnerships with commercial data providers and licensed access to platforms that restrict automated querying. When our agents verify a contact, they 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.
AI agents query live at the moment of request
There is no Salmon database to go stale. When a record is submitted for enrichment, our AI agents query 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 AI-driven strategy.
Salmon's agents don't apply a single fixed playbook. They evaluate what's available, choose 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 our AI agents against it and show you what comes back, with confidence scores on every field.