Veerview finds and verifies contacts across a waterfall of providers, and has just added a lookalike finder. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
VeerviewFinding and verifying emails and mobiles across a waterfall of providers. A fit for teams that only want to pay for valid ones.
Veerview is a contact enrichment layer: give it company domains, LinkedIn URLs or a CSV and it runs them through a waterfall of 15+ data providers. It has a REST API, an MCP server and a Lead Hub for the results.
Learning which companies fit from your own deals, then ranking the 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 | Veerview |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | A lookalike finder, launched in a first iteration in 2026. You enter a seed company and it returns similar accounts from firmographic and contextual signals, in the app, API and MCP. |
| Precision or volume | Ocean is stronger here. Ranked matches learned from your deals, with the reason on each account. | Says it works best for building large lists and maximizing TAM, “not when you need the absolute tightest 20 matches”. Its roundup calls Ocean the most accurate firmographic lookalike tool it has used, and prices Ocean as a premium tool. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Starts from a seed company or a persona you describe in plain language. It doesn’t describe a model learned from your CRM deals. |
| The reason behind each account | Segment, score, tier and matched signals on every account and every export. | A list of similar accounts, with no fit score or reason described. |
| Contacts and data | ||
| Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Waterfall across 15+ providers, charged only for valid emails and mobiles, with catch-all verification and unlimited email re-validation. It claims 20% to 60% more decision makers and a 1% to 2% bounce rate, which are its own figures. |
| Mobile numbers | Direct phones come from the same waterfall, charged only when one is found. | Mobile numbers scored by confidence across providers, at 10 credits each against 1 for an email. |
| Company data | 85M+ companies, built from the open web. | Claims 500M+ contacts. Its own comparison page calls it an enrichment and validation layer, not a prospecting database. |
| Workflow and pricing | ||
| CRM sync | Ocean is stronger here. Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | Two-way sync with its own app and Lead Hub, and documented guides for Clay and n8n. No native CRM connector is described. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | A 26-tool MCP server with one lookalike tool, connected as a custom connector tied to your API key, plus a REST API. |
| Security and company scale | Ocean is stronger here. SOC 2 Type II and GDPR, per Ocean’s own site. | It states GDPR and CCPA compliance and no SOC 2 or ISO 27001. The security page we tried returned not found, and a third-party directory lists two employees. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Pay for valid contacts only, with unlimited credit rollover. An email is 1 credit and a mobile 10. Plan prices are in the app. |
Veerview charges by waterfall credit and says you only pay for valid contacts. Its public pricing page does not list credit plans.
Veerview’s pricing page lists plans at $12, $29 and $99 a month described by team size and storage, which don’t match a credit-based enrichment product, so confirm plan prices in the app before you compare. Its terms make all purchases non-refundable, including used credits.
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 pricingVeerview is a contact layer. Ocean decides which companies to pull contacts for.
Choose Veerview if Use both ifFive steps. Most teams keep a waterfall like Veerview for contact gaps and add Ocean to pick the accounts.
Find your plan and credit balance. Unused credits roll over, and purchases are non-refundable.
Export the enriched records and tags you rely on, then run the same companies through Ocean to compare the ranking.
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 trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope.
Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list.
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 Veerview for. Here’s what each is built for and where Ocean starts.
Apollo
Clay
Lusha
DiscoLike
ZoomInfoShort answers on what Veerview does, how its lookalike finder works, how Ocean compares and what to check before you buy.
A contact enrichment platform from Veerview LLC. It runs company domains, LinkedIn URLs or CSVs through a waterfall of 15+ providers to find and verify emails and mobiles, and it has an API, an MCP server and a Lead Hub. Its own comparison page calls it an enrichment layer, not a prospecting database.
It charges credits: 1 for an email and 10 for a mobile, and only for valid results. Unused credits roll over. Its public pricing page shows tiers that look like a template, so confirm plan prices in the app.
You enter a seed company and it returns similar accounts based on firmographic and contextual signals, in the app, the API or one MCP tool. Veerview calls it a first iteration, built for scaled expansion more than tight matching. Ocean learns from your won and lost deals and ranks matches with the reason on each.
Its June 2026 roundup calls Ocean the most accurate firmographic lookalike tool it has used, and prices it as premium. The same page lists Veerview as a pay-for-valid option for expansion with built-in enrichment. The roundup contains affiliate links, so read it as a vendor’s view.
Yes. It offers 26 tools, including one lookalike search tool, connected as a custom connector with your API key. Ocean has an MCP server and a public API on the same data and lookalike engine.
It is a very small company. It states GDPR and CCPA compliance and no SOC 2 or ISO 27001, its security page returned not found, and its terms let it use and share business data you upload for cross-verification across users. Ask for a security report and the data terms before you upload customer data.
Yes. Ocean ranks and explains which companies fit, and a waterfall like Veerview fills in verified emails and mobiles for the people at them.
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.
Today we can more confidently say we're reaching out to all the companies that could potentially buy from us.
Josh Pudnos,
Director of Commercial Operations, Brandwatch
With Ocean.io we can focus our ad spend on the right companies.
Martin Nørgaard Klausen,
Co-Founder, Lead Motor, Zen Media
Working with a trusted partner saves a ton of engineering time and ongoing AI costs. Speed and quality are higher out of the gate.
Stefan Kollenberg,
Data Partnerships, Clay
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.
Garrett Butler,
Digital Engagement, CBC
Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean.
Ezequiel,
Head of Product Operations, Scalestack
Ocean.io allows us to identify lookalike companies with incredible accuracy.
Maged,
Head of Product, Surfe
