Ocean vs TAMI AI: pricing and how they compare

TAMI AI counts your market and sells verified contacts per user. Ocean uses contextual intelligence to find your next deal, with the reason on every account.

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Updated November 13, 2026. See sources

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How do Ocean and TAMI AI differ?

TAMI AI logo: TAMI AI alternatives, pricing and comparison with Ocean TAMI AI

Sizing a market by filters and exporting verified contacts. A fit for teams that want strong EU coverage at a per-user price.

TAMI AI, formerly SalesOptimize, is a Dublin-based B2B data platform. It counts companies by country, industry, technology and how they operate, sells verified emails and mobiles through a Chrome plugin and CRM integrations, and offers an MCP connector.

Ocean

Ranking the whole market from your own deals, so you know which part of it to work first, and why.

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.

TAMI AI and Ocean features, side by side

What buyers weigh, grouped by the job each part does. A light blue background marks the stronger side.

Ocean vs TAMI AI comparison
Topic Ocean TAMI AI
Finding the right accounts
Sizing your marketOcean is stronger here. Hard filters shrink the market to an exact count, then every company is ranked. TAM mapping counts every company that matches your filters, on the Enterprise plan only.
Learns your ICP from won and lost dealsOcean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. ICP scoring ranks accounts against your ideal customer profile, on the Enterprise plan only. It doesn’t describe learning from CRM deals.
The reason behind each accountOcean is stronger here. Segment, score, tier and matched signals on every account and every export. AI company insights summarize how an account operates and why it fits, on Enterprise.
How it understands a company Reads what each company does from its own website. Firmographics, technology in use, and how a company operates, such as payments, shipping and e-commerce signals.
Exact market countOcean is stronger here. Counts every company in your market that fits, exactly and by segment, before you buy a single contact. Searches and filters build a list. We found no exact market count by learned segment documented.
Tiers and exclusionsOcean is stronger here. Sorts accounts into tiers and excludes by keyword, so reps start with the best fits. We found no learned account tiers or keyword exclusions documented.
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. Verified emails with under 5% bounce, mobiles and direct lines, charged only when found, with real-time refresh.
Company data 85M+ companies, built from the open web. Strong EU coverage, and US coverage on Enterprise.
Buying committeeOcean is stronger here. Maps the roles to reach at each ranked account. Finds people by role and title. We found no buying-committee mapping documented.
Workflow and pricing
CRM syncOcean is stronger here. Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. Pushes contacts into HubSpot, Salesforce and Pipedrive, with CRM refresh and enrichment on its own credit pool.
AI agents and MCP MCP server, public API and a chat agent on the same data and lookalike engine. An MCP connector on Growth and Enterprise, plus an API with a dedicated allowance on Enterprise.
Inbound scoringOcean is stronger here. Scores inbound leads and website visitors against the same learned fit. We found no inbound lead or visitor scoring documented.
Pricing Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. A 7-day free trial, Growth at $77 a user a month, and Enterprise by quote. Per user.

How much is TAMI AI?

TAMI AI publishes a trial and one self-serve plan. Everything that sizes a market sits on Enterprise.

The trial, with 50 export credits and 5 mobile credits, full platform access and no card.
7 days free
Growth, billed monthly, with 7,200 export credits and 960 mobile credits a year. Annual billing saves 15%.
$77 a user a month
Enterprise, per user and billed yearly, with 60,000 export credits, 5 users, TAM mapping and ICP scoring.
By quote

What the price leaves out

Credits are per user and per year, so a team shares a fixed allowance. The TAM mapping, ICP scoring, API and CRM refresh sit on Enterprise, each with its own credit pool. Older reviews list Basic and Growth prices of $47 to $79, which no longer match its pricing page.

How Ocean charges

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 pricing

Should you choose Ocean or TAMI AI?

A count tells you how big the market is. Ranking tells you which part to work first.

Choose TAMI AI if

  • You sell in Europe and want EU-sourced, GDPR-friendly contact data
  • You size territories by payments, shipping or e-commerce signals
  • You want cheap per-user contacts and a Chrome plugin

Use both if

  • Your team sizes the market in TAMI AI
  • You want Ocean to rank that market from your own deals
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Choose Ocean if

  • Your main job is deciding which accounts to work, not counting them
  • You want the ICP learned from your won and lost deals
  • You want the reason on every account, on every plan
  • You want no seats, and scores written back to your CRM
Start for free

How to switch from TAMI AI to Ocean

Five steps. Most teams keep TAMI AI for EU contacts and add Ocean to rank the market.

  1. Check your users and credits

    List your seats, your export and mobile credits for the year and the billing date.

  2. Export your saved lists

    Save the lists and filters your team uses, so you can run the same market through Ocean.

  3. Connect your CRM

    Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like.

  4. Review the segments and scores

    Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell.

  5. Send scored accounts

    Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences.

Questions to ask before you rely on TAMI AI for targeting

  • Which plan includes TAM mapping and ICP scoring for our team?

    Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.

  • Does the ICP score learn from our won and lost deals?

    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.

  • What does it cost when every rep needs a seat, with credits per user?

    Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.

  • How do the credit pools for enrichment, API and CRM refresh work?

    Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.

  • Can you share your ISO 27001 certificate and a data processing agreement?

    Expect a trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope.

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 Ocean

How do other TAMI AI alternatives compare to Ocean?

The right alternative depends on what you use TAMI AI for. Here’s what each is built for and where Ocean starts.

TAMI AI pricing and alternatives: common questions

Short answers on what TAMI AI costs, which plan has TAM and ICP features, and how Ocean compares.

How much does TAMI AI cost?

TAMI AI has a 7-day free trial with 50 export credits. Growth is $77 a user a month billed monthly, or 15% less billed annually, with 7,200 export credits a year. Enterprise is priced by quote, per user.

Why do reviews list different TAMI AI prices?

Older directories list Basic and Growth plans from $47 to $79 a user. TAMI AI’s own pricing page now shows a trial, Growth at $77 and Enterprise.

Does TAMI AI size my TAM?

Yes, on Enterprise. TAM mapping counts every company that matches your filters, and ICP scoring ranks accounts against your ideal customer profile. Ocean ranks the whole market from your own won and lost deals.

Does TAMI AI have an MCP server?

It has an MCP connector on Growth and Enterprise. Ocean has an MCP server and a public API on the same data and lookalike engine.

Is TAMI AI per user?

Yes. Plans are priced per user, and credits are per user per year. Ocean has no seats.

Is TAMI AI ready for an enterprise security review?

TAMI AI shows an ISO 27001 badge and GDPR compliance on its site, and G2 lists 139 reviews at 4.3. It’s a small Dublin company, so ask for the certificate, a data processing agreement and references at your size.

How does Ocean find lookalike companies?

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.

How do I switch from TAMI AI to Ocean?

Check your plan and credits, export your saved lists, connect your CRM so Ocean reads your won and lost deals, review the segments and scores Ocean proposes, then send scored accounts to your CRM.

Sources (8)

checked November 13, 2026

What teams say about Ocean

All case studies
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

Read Brandwatch's story
With Ocean.io we can focus our ad spend on the right companies.

Martin Nørgaard Klausen,

Co-Founder, Lead Motor, Zen Media

Read Zen Media's story

Laura Salmina, Sales Developer at Tele2 IoT

Read Tele2 IoT's story

Julian Berbec, Growth Marketer at Monta

Read Monta's story
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

Read Clay's story
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.

Garrett Butler,

Digital Engagement, CBC

Read CBC's story
Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean.

Ezequiel,

Head of Product Operations, Scalestack

Read Scalestack's story
Ocean.io allows us to identify lookalike companies with incredible accuracy.

Maged,

Head of Product, Surfe

Read Surfe's story

Move with your market

  • Context learned from your closed-won deals
  • Accounts ranked on fit, with the reason shown
  • Direct push to Salesforce, HubSpot, Pipedrive and Attio