Kernel
Kernel is a web and API entity-data platform for revenue operations teams managing company records across enterprise CRMs.
What Kernel is
Kernel is a web and API entity-data platform for revenue operations teams managing company records across enterprise CRMs. It resolves records to persistent 10-digit KERN IDs built from legal, trading, geographic, and identity-type information. IDs cover entities such as brands, business units, government institutions, establishments, regional subsidiaries, and operating locations, and are designed to survive domain changes, rebrands, and acquisitions. Kernel provides corporate hierarchies and firmographic data with explanations and sources for data points. Its agentic account data uses on-demand, multi-source web research and human feedback. Teams can clean accounts, deduplicate records, manage hierarchies, and apply custom enrichment. Scaled changes can use risk scoring, approvals, auditability, and governed workflows. The Salesforce integration reads CRM objects through OAuth 2.0 and writes to designated Kernel fields, with batched reads and Bulk API 2.0 writes. Kernel says enterprise data management includes expert-led onboarding. Pricing is on request, with prospective customers directed to book a demo.
Good
- Persistent 10-digit KERN entity identifiers
- Corporate hierarchies and sourced firmographic data
- Account cleaning and deduplication tools
- Governed workflows for scaled data changes
- Salesforce OAuth 2.0 integration
Watch out
- Pricing is not publicly listed
- Salesforce integration writes only to designated fields
- Platform is focused on revenue operations and enterprise CRM use
Who it suits
Kernel is aimed at RevOps teams handling account coverage, territory planning, CRM accuracy, and revenue operations. It also targets enterprise CRM deployments needing governed data changes and entity matching.
Verdict
Kernel focuses on durable entity identity, enrichment, and governance across CRM data. Its API and web access, Salesforce integration, and expert-led onboarding support enterprise RevOps workflows, while pricing requires a demo or request.
The facts
Each one read from Kernel's own pages, with the date it was checked.
What it does
- Agentic research
- Kernel describes its agentic account data as using on-demand, multi-source web research and human feedback to improve accuracy.checked 8 Oct 2026
- Data correction
- Users can flag errors for Kernel to investigate, and Kernel says it explains its decisions with justification.checked 8 Oct 2026
- Data management
- The platform supports account cleaning, deduplication, hierarchy management, and custom enrichment across enterprise CRMs.checked 8 Oct 2026
- Enrichment
- Kernel provides corporate hierarchies and firmographic data, with reasoning explanations and sources for data points.checked 8 Oct 2026
- Entity coverage
- KERN IDs cover legal entities as well as brands, business units, government institutions, establishments, regional subsidiaries, and operating locations.checked 8 Oct 2026
- Entity identity
- Kernel assigns entities a persistent 10-digit KERN ID built from legal, trading, geographic, and identity-type information.checked 8 Oct 2026
- Entity resolution
- Kernel resolves system records to a unique, persistent KERN ID that survives domain changes, rebrands, and acquisitions.checked 8 Oct 2026
- Error handling
- Customers can flag errors for Kernel to investigate, explain, and correct.checked 8 Oct 2026
- Governance
- Kernel describes risk scoring, auditability, approvals, and governed workflows for scaled data changes.checked 8 Oct 2026
- Integration
- Kernel's Salesforce integration uses OAuth 2.0 and can read CRM objects while writing to designated Kernel fields.checked 8 Oct 2026
- Integrations
- Kernel's privacy policy names Salesforce, Gong, G Suite, Google, Slack, and RecallAI among third-party services or integrations used with its services.checked 8 Oct 2026
- Intended users
- The product page describes the platform as serving RevOps teams and enterprise CRM deployments.checked 8 Oct 2026
- Other integrations
- The homepage says Kernel works with CRM systems, data warehouses, AI tools, and orchestration tools, without naming them in that section.checked 8 Oct 2026
- Pricing availability
- The pages reviewed direct prospective customers to book a demo and do not state a price.checked 8 Oct 2026
- Privacy and security
- The privacy policy names two-factor authentication, access limited by business need, and safeguards for personal data transfers.checked 8 Oct 2026
- Privacy law
- The privacy policy says the company handles personal data under the UK GDPR, EU GDPR, and Data Protection Act 2018.checked 8 Oct 2026
- Product
- Kernel is an entity data and data management platform for revenue operations teams that resolves, enriches, and maintains company data across CRMs.checked 8 Oct 2026
- Risk controls
- Kernel says scaled data changes can use risk scoring, approvals, auditability, and governed workflows.checked 8 Oct 2026
- Salesforce integration
- Kernel's Salesforce integration reads CRM objects through OAuth 2.0 and writes to Kernel-designated fields; it supports batched reads and Bulk API 2.0 writes.checked 8 Oct 2026
- Salesforce limits
- The Salesforce integration documentation says a 100,000-account organization typically uses under 1% of its daily API quota for nightly updates, and writes are batched up to 500 records.checked 8 Oct 2026
- Security
- Kernel's Salesforce integration documentation says data transmission uses TLS 1.2 or higher and OAuth access tokens are short-lived.checked 8 Oct 2026
- Support
- The site offers a full live demo and lists [email protected] as a contact address.checked 8 Oct 2026
The company
- Company
- The site identifies the operator as Momentum AI Ltd., registered in England and Wales, and lists its address as 128 City Road, London, United Kingdom.checked 8 Oct 2026
- Headquarters
- London, United Kingdomchecked 28 Sep 2026
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