Enlyft scores accounts from the technology they run and the buying signals around them, and sells mostly to technology vendors and their partners. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
EnlyftScoring accounts by what they run and what is changing there. A fit for vendors that sell into specific technologies.
Enlyft is an account-intelligence platform built on its own company graph and a decade of technographic history. It layers buying signals and propensity scoring on top, with a Pipeline Agent that drafts outreach.
Learning which companies fit from your own won and lost deals, then ranking the whole market with the reason on each account.
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 light blue background marks the stronger side.
| Topic | Ocean | Enlyft |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Scores every account in its graph against an ICP and the products you sell, and maps install-base overlap for cross-sell. It doesn’t describe lookalikes of your customers. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Models are trained on 10+ years of buying outcomes and tuned to each vendor’s products, with customer data used in models built for that customer. Its pages don’t spell out learning from your won, lost and open deals. |
| The reason behind each account | Segment, score, tier and matched signals on every account and every export. | Each score comes with the signals behind it: the stack, the change and the trigger. |
| Segments your market | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Account mapping shows install-base overlap and whitespace across a product portfolio. |
| Contacts and data | ||
| Technology install base | Understands what each company does from its own website. | Its core strength: 24K+ technologies tracked across 45M+ companies, collected and refreshed by Enlyft over more than ten years. |
| Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Contact discovery in the Pipeline Agent, and verified emails, phones and LinkedIn profiles over MCP. It positions itself as working alongside ZoomInfo or Apollo. |
| Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | 50+ known signals per account, such as hiring, funding, tech adoption and leadership changes, scored with real-time alerts. |
| Workflow and pricing | ||
| CRM sync | Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | Apps for Salesforce (AppExchange and AgentExchange), HubSpot and Dynamics 365, plus Slack and Teams. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP connector for Claude, a Copilot connector in preview, and a launch-partner role in Dynamics 365 Sales agents. It needs an Enlyft subscription with API access. |
| Security and company scale | SOC 2 Type II and GDPR, per Ocean’s own site. | Lists SOC 2 Type 2, ISO 27001 and GDPR, hosts on Azure, isolates each customer’s data and purges it 90 days after termination. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Not published. The Business Edition starts at 20 users and 20,000 credits. Third-party estimates run from $12,000 to $30,000 a year. |
Enlyft doesn’t publish prices. Its Business Edition starts at 20 user licenses and 20,000 annual credits, and quotes come from sales.
A 20-user floor means you pay for licenses whether or not every seller uses them. Ask for the number of licenses, the credit rate beyond 20,000 and what a credit buys. Estimates vary by source, so get a written quote.
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 pricingEnlyft knows what a company runs and what’s changing there. Ocean knows whether it looks like the companies you’ve won.
Choose Enlyft if Use both ifFive steps. Most teams keep Enlyft for technographics and add Ocean to rank the market by fit.
Export the accounts with their Enlyft fit scores and signals, then run the same companies through Ocean to compare the ranking against your closed-won deals.
Count how many of your licensed users are active this quarter, and find your credit balance and renewal date.
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.
Expect rules, filters and signals you set, because a model of your own deals is not what it leads with; ask for a test on your accounts.
Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.
Expect a polished demo on sample data, because that is where it looks best; ask for a test on your own accounts.
Expect rules, filters and signals you set, because a model of your own deals is not what it leads with; ask for a test on your accounts.
Ocean is better because it tells it like it is: contextual intelligence to find your next deal, with the reason on every account.
Start using OceanThe right alternative depends on what you use Enlyft for. Here’s what each is built for and where Ocean starts.
Leadspace
ZoomInfo
Demandbase
6sense
GoavaShort answers on what Enlyft costs, how its scoring works, how Ocean compares and what to check before you buy.
An account-intelligence platform built on its own company graph of 45M+ companies and 24K+ technologies. It adds buying signals, propensity scoring and a Pipeline Agent for plays and outreach, and is aimed mainly at technology vendors and their channel partners.
Machine-learning models trained on more than ten years of buying outcomes, tuned to each vendor’s products, rank accounts by propensity, with the signals behind each score. Ocean learns the fit from your own won and lost deals and ranks the market against it.
Enlyft doesn’t publish prices. The Business Edition starts at 20 user licenses and 20,000 annual credits. Third-party estimates run from $12,000 to $30,000 a year, and none is confirmed. Ask for a written quote.
Its pages say customer data is used only in models built for that customer, and that models are tuned to a vendor’s products. They don’t spell out learning from your won, lost and open deals. Ocean reads your CRM deals, learns the ICP and ranks the market against it.
Yes. The Enlyft MCP connector works with Claude, a Copilot connector is in preview, and Enlyft is a launch partner for Dynamics 365 Sales agents. It requires an Enlyft subscription with API access. Ocean has an MCP server and a public API on the same data and lookalike engine.
It has apps for Salesforce, HubSpot and Dynamics 365. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio.
It lists SOC 2 Type 2, ISO 27001 and GDPR, hosts on Azure, isolates customer data and purges it 90 days after termination. Request the SOC 2 report and the contract terms, as you would with any vendor.
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.
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