Kernel keeps the accounts already in your CRM accurate. Ocean decides which accounts to go after next, ranked from your own won and lost deals.
Used by teams at
KernelAccurate entity data for the accounts already in your systems, guaranteed.
Kernel resolves every company record in your CRM to a unique, persistent ID, maps full corporate hierarchies, enriches each entity with firmographics and fixes errors you flag. It positions itself as an AI-native alternative to Dun & Bradstreet for enterprise RevOps and data teams.
Deciding which accounts to go after next, once your CRM is clean.
Ocean is contextual intelligence for go-to-market. It reads what every company actually does from its own website, learns what good looks like from your closed-won and closed-lost deals, and ranks your whole market against it, with the reason behind each score. The ranked accounts arrive in your CRM, your rep queue or your AI agents.
What buyers weigh, grouped by the job each part does. A green check marks the stronger side.
| Topic | Ocean.io logo Ocean | Kernel |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes from your closed-won deals | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Not its job. It resolves and enriches the accounts you already have. |
| Net-new account discovery | Ocean is stronger here. Lookalikes across the whole market, not only the accounts you already have. | Finds missing parent and child accounts inside known hierarchies. |
| Reasons and sources | Segment, score, tier and matched signals on every account and every export. | Reasoning and sources on every data point. |
| Contacts and data | ||
| Corporate hierarchies | Not our job. | Kernel is stronger here. Parents, subsidiaries and business units, with a persistent ID for each entity. |
| Entity resolution and deduplication | Not our job. | Kernel is stronger here. Resolves duplicate accounts and applies survivorship rules. |
| Contacts | Ocean is stronger here. Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Entity data, not contacts. |
| Workflow and pricing | ||
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | Integrations with Claude and Codex. |
| Pricing | Ocean is stronger here. Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Demo-led enterprise pricing. Every call to action is “Book a demo”. |
Kernel doesn’t publish prices, so there’s no figure to report.
Kernel leads its homepage with “accurate entity data, guaranteed” and publishes comparison pages against Dun & Bradstreet and others. It’s claiming the evidence and trust language first.
A flat-rate plan with credits included, or a custom plan built around your deals.
Contacts are charged only when one is found. Exports are free.
See Ocean pricingKernel cleans what you have. Ocean decides what to go after next.
Choose Kernel if Ocean.io logo Use both ifFive steps. Most teams keep Kernel for the data foundation and add Ocean on top.
Find your term, the entities and integrations you pay for and the renewal date.
Keep the clean, deduplicated accounts in your CRM, so Ocean ranks real entities.
Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like.
Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell.
Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences.
The right alternative depends on what you use Kernel for. Here’s what each is built for and where Ocean starts.
ZoomInfoBuilt for Contact and direct-dial volume, with third-party intent, in one contract.
Where Ocean starts Ocean ranks accounts from your closed-won deals instead of selling a database.
LeadspaceBuilt for Teams that keep GTM profiles, signals, routing and scoring accurate in one data cloud.
Where Ocean starts Ocean ranks your market from your own won and lost deals, with the reason on each score.
ExploriumBuilt for Teams and AI agents that need a B2B data foundation for go-to-market.
Where Ocean starts Ocean ships the ranking itself, learned from your deals, instead of a data layer you build on.
GrataBuilt for Dealmakers who find private companies by what they do, for M&A and private equity.
Where Ocean starts Ocean ranks companies that look like your customers, for revenue teams, with contacts included.
CrunchbaseBuilt for Teams that find companies through funding data and growth predictions.
Where Ocean starts Ocean ranks companies by how they match your wins, funded or not.
Short answers on what Kernel does, how it’s priced, how Ocean compares and how teams use both.
Kernel doesn’t publish prices. It sells enterprise contracts through a demo.
It resolves every company record in your CRM to a unique, persistent ID, maps corporate hierarchies, enriches each entity with firmographics and fixes errors you flag.
Kernel positions itself that way, and publishes a comparison page against Dun & Bradstreet. Ocean isn’t an entity-data tool. It decides which accounts to target.
It finds missing parents and subsidiaries inside known hierarchies. Ocean finds and ranks net-new accounts across the whole market.
Yes. Kernel keeps your accounts accurate, and Ocean decides which ones to go after next, with clean accounts in and ranked targets out.
Ocean reads what each company does from its own website, learns from your closed-won and closed-lost deals, and returns ranked matches with the reason on each one.
Connect your CRM so Ocean reads your won and lost deals, review the segments and scores it proposes, then send the ranked accounts back to your CRM.
