# Salmon

> Salmon is a real-time data engine that enriches, verifies, and keeps B2B CRM data accurate. It replaces static data vendors with a live enrichment layer that continuously monitors contacts, companies, and signals — so revenue, marketing, and compliance teams always work with trusted data.

Salmon is built by Salmon Labs, Inc. The product serves enterprise go-to-market teams, revenue operations leaders, and trust & safety / compliance teams. It integrates natively with Salesforce, HubSpot, Snowflake, and custom data stacks.

## Key facts

- 30–40% of B2B contact data goes stale every year
- Salmon customers see a 45% reduction in stale CRM data
- 3.2x more pipeline opportunities reported by customers
- 68% faster identity verification for KYC workflows
- 95%+ verification accuracy across all enrichment
- Sub-200ms API response time

## Product

- [Homepage](https://salmonrun.ai/): Overview of Salmon's real-time data engine for CRM enrichment, verification, and signal monitoring
- [AI Engine](https://salmonrun.ai/engine.html): How Salmon's system of specialized AI agents discovers, verifies, enriches, and delivers data in real time with full explainability
- [Data Capabilities](https://salmonrun.ai/data.html): Full breakdown of data types Salmon can find, verify, and deliver — filterable by type or team
- [Pricing](https://salmonrun.ai/pricing.html): Three tiers (Starter, Growth, Enterprise) based on data volume and use case, no hidden fees or credit packs

## Solutions

- [CRM Enrichment](https://salmonrun.ai/solutions/crm.html): Continuous CRM data cleaning and enrichment — fixes stale titles, dead emails, and wrong company data in real time
- [GTM & Prospecting](https://salmonrun.ai/solutions/gtm.html): Verified, signal-rich prospect lists delivered directly into your pipeline, replacing 5–6 hours of manual analyst research per query
- [KYC & Compliance](https://salmonrun.ai/solutions/kyc.html): Real-time identity verification against sanctions lists, adverse media, and professional credential sources
- [Account Intelligence](https://salmonrun.ai/solutions/intel.html): Real-time monitoring of your account list for job changes, funding rounds, hiring surges, and other buying signals
- [Enterprise Data API](https://salmonrun.ai/solutions/api.html): One API for enrichment, verification, and signal data across CRM, data warehouse, risk tools, and marketing stack

## Comparisons

- [Salmon vs ZoomInfo](https://salmonrun.ai/compare/zoominfo.html): How Salmon's real-time research engine compares to ZoomInfo's static database approach
- [Salmon vs Clay](https://salmonrun.ai/compare/clay.html): Clay is a workflow builder; Salmon is the finished product — an honest comparison for teams evaluating both
- [Salmon vs Apollo.io](https://salmonrun.ai/compare/apollo.html): Apollo gives you a contact database; Salmon gives you verified, real-time data with confidence scores
- [Salmon vs Clearbit (HubSpot)](https://salmonrun.ai/compare/clearbit.html): Clearbit enriches once at record creation; Salmon enriches continuously with multi-source verification

## Glossary

- [What Is Data Enrichment?](https://salmonrun.ai/glossary/data-enrichment.html): Definition, types (contact, firmographic, technographic, intent, compliance), and how real-time enrichment works
- [What Is CRM Data Decay?](https://salmonrun.ai/glossary/crm-data-decay.html): 30-40% of B2B CRM data goes stale annually — causes, costs, and how to measure and prevent it
- [What Is Real-Time Data Verification?](https://salmonrun.ai/glossary/real-time-verification.html): How point-of-query verification with multi-source triangulation and confidence scoring works
- [What Is Entity Resolution?](https://salmonrun.ai/glossary/entity-resolution.html): Determining whether multiple data records refer to the same real-world entity — definition, techniques, and CRM applications
- [What Is KYC (Know Your Customer)?](https://salmonrun.ai/glossary/kyc-know-your-customer.html): KYC definition, requirements (CIP, CDD, EDD), process steps, and how real-time verification reduces onboarding friction
- [What Is Contact Enrichment?](https://salmonrun.ai/glossary/contact-enrichment.html): Adding verified email, phone, title, company, and LinkedIn to incomplete contact records — how it works and best practices
- [What Is Firmographic Data?](https://salmonrun.ai/glossary/firmographic-data.html): Organizational attributes (revenue, headcount, industry, funding, corporate structure) used for B2B segmentation and account scoring
- [What Are Buying Signals?](https://salmonrun.ai/glossary/buying-signals.html): Observable events (hiring, funding, leadership changes) that indicate a company is likely to purchase — types and real-time detection
- [What Is Duplicate Detection?](https://salmonrun.ai/glossary/duplicate-detection.html): Identifying and resolving redundant CRM records — causes, costs (20-30% duplicate rates), and AI-powered deduplication
- [What Is Data Quality?](https://salmonrun.ai/glossary/data-quality.html): Measuring data across accuracy, completeness, timeliness, consistency, and uniqueness — dimensions, metrics, and best practices
- [What Is Identity Resolution?](https://salmonrun.ai/glossary/identity-resolution.html): Matching and linking data points across systems to build unified profiles of real people and organizations
- [What Is Record Matching?](https://salmonrun.ai/glossary/record-matching.html): Comparing data records to determine same-entity matches — exact, fuzzy, and ML-based techniques
- [What Is Data Hygiene?](https://salmonrun.ai/glossary/data-hygiene.html): Ongoing CRM data maintenance through verification, deduplication, standardization, and enrichment — why continuous beats periodic

## Company

- [Our Story](https://salmonrun.ai/story.html): Salmon was built by operators who lived the pain of stale CRM data
- [How We Work](https://salmonrun.ai/how-we-work.html): From discovery to long-term partnership — how Salmon transforms enterprise data workflows
- [Case Studies](https://salmonrun.ai/case-studies.html): Real enrichment projects — address intelligence, entity resolution, and network enrichment
- [Security & Compliance](https://salmonrun.ai/security.html): SOC 2, GDPR, and CCPA compliance with encryption, audit logging, and enterprise-grade data protection
- [Contact](https://salmonrun.ai/contact-us.html): Book a demo or reach the team at hello@salmonrun.ai

## How Salmon Verifies Data

Salmon's verification engine is fundamentally different from static data vendors:

1. A record enters the system (form fill, list import, API call, or CRM refresh trigger)
2. AI agents cross-reference live sources — LinkedIn, company registries, open web, partner data
3. Multi-source triangulation resolves conflicts between sources automatically
4. Every field gets a confidence score (0-100) and source attribution with reasoning trace
5. Duplicates merge, entities resolve, and the clean record lands in your CRM — audit-ready
6. Continuous monitoring catches job changes, company pivots, and data decay automatically

This is not a lookup against a pre-built database. Salmon researches at the point of query, every time.

## Case Studies

- [Address-to-Business Enrichment](https://salmonrun.ai/case-studies/address-intelligence.html): How Salmon identified businesses and decision-makers from raw commercial addresses
- [CRM Entity Resolution & Deduplication](https://salmonrun.ai/case-studies/crm-entity-resolution.html): How a leading real estate technology platform resolved 514K accounts with Salmon
- [Alumni Ventures Network Enrichment](https://salmonrun.ai/case-studies/avg-network-enrichment.html): Enriching thousands of network contacts with verified LinkedIn profiles and role data

## Insights

- [Blog](https://salmonrun.ai/insights/): Articles on CRM data quality, revenue operations, and AI-powered enrichment
- [The Hidden Costs of Bad Data](https://salmonrun.ai/insights/hidden-costs-of-bad-data.html): How bad data hurts sales productivity, performance, and morale — and the true cost
- [Data Enrichment at Enterprise Scale](https://salmonrun.ai/insights/data-enrichment-at-enterprise-scale.html): Why AI enrichment tools break at scale and how to build validation processes to keep them accurate
- [The Quiet Pain of RevOps Leaders](https://salmonrun.ai/insights/quiet-pain-revops-leaders.html): How RevOps leaders make high-stakes decisions with data they don't fully trust
- [Your Data Vendor's Enrichment Is Already Stale](https://salmonrun.ai/insights/data-vendor-enrichment-already-stale.html): Why point-in-time enrichment from traditional vendors decays immediately
- [Your CRM Is Lying to You](https://salmonrun.ai/insights/your-crm-is-lying-to-you.html): The hidden inaccuracies in CRM data and their downstream impact on revenue
- [The Hidden Decision Maker Problem](https://salmonrun.ai/insights/hidden-decision-maker-problem.html): Why deals stall when sales can't identify the real decision maker
- [What Is a Customer?](https://salmonrun.ai/insights/what-is-a-customer.html): Rethinking how companies define and track customer identity across systems
- [Why We Built Spawn](https://salmonrun.ai/insights/why-we-built-spawn.html): The origin story behind Salmon's agent orchestration system
- [We Built a Group Chat for AI Agents](https://salmonrun.ai/insights/we-built-a-group-chat-for-ai-agents.html): How Salmon's agents communicate and coordinate across research tasks

## Legal

- [Privacy Policy](https://salmonrun.ai/privacy-policy.html)
- [Terms of Service](https://salmonrun.ai/terms-of-service.html)