1. [Compare](/compare.md) 2. Ocean vs Day AI # Ocean vs Day AI: pricing and how they compare Day AI builds your customer record from your meetings, email and Slack and puts agents to work on it. Ocean uses contextual intelligence to find your next deal, with the reason on every account. [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api) [See Day AI pricing](#how-much-does-day-ai-cost) Ask AI to compare * [Ask Claude to compare Ocean and Day AI (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Day%20AI%20for%20B2B%20account%20targeting%3A%20context%20from%20customer%20conversations%2C%20net-new%20and%20lookalike%20prospecting%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20CRM%20sync%2C%20security%20and%20per-agent%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-day-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Day AI (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Day%20AI%20for%20B2B%20account%20targeting%3A%20context%20from%20customer%20conversations%2C%20net-new%20and%20lookalike%20prospecting%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20CRM%20sync%2C%20security%20and%20per-agent%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-day-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Day AI (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Day%20AI%20for%20B2B%20account%20targeting%3A%20context%20from%20customer%20conversations%2C%20net-new%20and%20lookalike%20prospecting%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20CRM%20sync%2C%20security%20and%20per-agent%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-day-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Day AI (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Day%20AI%20for%20B2B%20account%20targeting%3A%20context%20from%20customer%20conversations%2C%20net-new%20and%20lookalike%20prospecting%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20CRM%20sync%2C%20security%20and%20per-agent%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-day-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Day AI (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Day%20AI%20for%20B2B%20account%20targeting%3A%20context%20from%20customer%20conversations%2C%20net-new%20and%20lookalike%20prospecting%2C%20learning%20from%20CRM%20deals%2C%20MCP%20access%2C%20CRM%20sync%2C%20security%20and%20per-agent%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-day-ai%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) Updated November 13, 2026. [See sources](#sources) Used by teams at * Coinbase * Revolut * Stripe * HubSpot * Harmony * Productboard * Twilio * Qualtrics * Seismic * Datadog * Jeeves * Plaid * Gartner * PostHog * Decagon * Orb * Rippling * Copy.ai * Aircall * beehiiv * TextExpander * Intercom * Deel * Radisson Hotel Group * Schneider Electric * Swisscom * Micron Technology * GSK * Sony * [How they differ](#how-they-differ) * [Comparison](#ocean-vs-day-ai) * [Day AI cost](#how-much-does-day-ai-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-day-ai) * [Alternatives](#day-ai-alternatives) * [FAQ](#day-ai-faq) --- ## How do Ocean and Day AI differ? ### ![Day AI logo: Day AI alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/day-ai-mark.webp?width=256) Day AI A customer record that builds itself from calls, email and Slack. A fit for teams that want agents without heavy CRM admin. Day AI calls itself a context graph and agent control plane, and its CRMx is built around that. It ingests Gmail, Calendar, Slack, meeting recordings and tools like Gong, and sources each data point with a chain of reasoning. ### Ocean Ranking every company in your market by fit, including the ones you’ve never talked to, learned from your won and lost deals. 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. --- ## Day 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 Day AI comparison__ | Topic | Ocean | Day AI | | --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Only on its top tier: Super agents prospect the web for net-new accounts and lookalikes of your best customers, and load them into campaigns. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Builds memory from your own conversations and CRM records. It doesn’t describe segments learned from won and lost deals with win rate, cycle and deal size. | | The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Each data point carries its source and a chain of reasoning, so you can see where a fact about a customer came from. | | Coverage beyond your own conversations | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Context is limited to companies you’ve talked to and records you hold, until the Super tier adds web prospecting. | | 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. | People and organizations created from your email, calendar and meetings. Contact identification, finding the right people at target accounts, starts on Executive. | | Customer memory and agent work | Doesn’t record your meetings or run agents on your pipeline. It decides which companies to work. | Builds the record from meetings, Gmail, Calendar and Slack, drafts follow-ups, manages the pipeline and runs campaign sequences with agents. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | Signals come from your own conversations and connected tools, not from a company signal database. | | 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. | Replaces a CRM, or reads and writes Salesforce and HubSpot through their MCP servers on paid plans. Outlook mail doesn’t sync into its graph yet. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP server for Claude, Cursor and Claude Code over OAuth. It needs a paid agent tier, and your tier’s tools and limits apply. | | Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | States SOC 2 Type II, with the report available under NDA, a published data processing addendum and no model training on customer data. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Per agent, not per seat: free, then $24, $60 and $200 a month, and $800 a month on annual plans for the top tier. | --- ## How much is Day AI? Day AI charges per agent, flat by tier, with no per-seat or usage-based fees. A workspace needs at least one Professional or Executive agent, and colleagues can then join free. * Free teammates capture meetings, email and calendar, and can search and share. Turbo at $24 an agent adds tasks, email drafts and two automated skills: Free to $24 a month * Professional runs pipeline and campaign sequences with five automated skills. Executive adds campaigns from your lists, contact identification and ten skills: $60 and $200 a month * Super, annual only, adds net-new and lookalike prospecting, a forward-deployed account executive and 20 custom smart properties: $800 a month ### What the price leaves out Prices are for annual billing paid upfront, with discounts as you add agents, and the pricing page describes a 20% discount for annual plans. Lookalike and net-new prospecting, the closest overlap with Ocean, is only on the top tier. Rival pages that quote $30 to $60 a user describe an older or different model, so use the 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](/pricing.md) --- ## Should you choose Ocean or Day AI? Day AI holds what you know about your customers. Ocean brings what you need to know about the companies you haven’t met. ### Choose Day AI if * You want a record that builds itself from meetings, email and Slack * You want agents that draft follow-ups, manage deals and run campaigns * You want to replace your CRM, or add context on top of Salesforce or HubSpot ### Use both if * You run Day AI as your customer memory and use Ocean to rank the companies outside it * You connect Ocean to Day AI through the API or MCP so agents can pull ranked accounts [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want to know which companies fit before you’ve talked to anyone * You want the ICP learned from your won and lost deals, as segments with win rate, cycle and deal size * You want the reason on every account and an exact count of the market * You want lookalike discovery without paying for a top-tier agent [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Day AI to Ocean Five steps. Most teams keep Day AI as their customer memory and add Ocean to find who to talk to next. ### 1. Export your won and lost deals Export closed deals from Day AI or your CRM, then run them through Ocean to learn which segments convert and how many companies look like them. ### 2. Check your agent tiers List your agents by tier, the skills they run and whether you need the top tier’s prospecting. ### 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 Day AI for targeting * **Where do net-new accounts come from, and how are lookalikes decided?** 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. * **Which tier do we need for contact identification and prospecting?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **How does it handle Outlook and Teams if we’re not on Google Workspace?** Expect export and no-code connectors first, with two-way sync tied to the plan; confirm what is live on yours. * **Can we see the SOC 2 report and data terms?** 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](https://book.ocean.io/inbound/api) --- ## How do other Day AI alternatives compare to Ocean? The right alternative depends on what you use Day AI for. Here’s what each is built for and where Ocean starts. ### [![HubSpot logo: HubSpot alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/hubspot-mark.webp?width=192)HubSpot](/compare/ocean-vs-hubspot.md) * Built for: Teams that run their CRM, marketing and sales in one platform, with AI agents on top. * Where Ocean starts: Ocean finds the accounts that aren’t in your CRM yet and pushes them in, ranked. ### [![Agentforce logo: Agentforce alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/salesforce-mark.webp?width=192)Agentforce](/compare/ocean-vs-agentforce.md) * Built for: Teams that run AI agents on the customer data already in their Salesforce CRM. * Where Ocean starts: Ocean gives those agents the accounts outside your CRM, ranked from your wins. ### [![Claudeforce logo: Claudeforce alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/claudeforce-mark.webp?width=192)Claudeforce](/compare/ocean-vs-claudeforce.md) * Built for: Reps who do Salesforce work from inside Claude, with prebuilt sales skills. * Where Ocean starts: Ocean sits beside it in Claude and tells it which accounts to build pipeline on. ### [![Zoho CRM logo: Zoho CRM alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/zoho-crm-mark.webp?width=192)Zoho CRM](/compare/ocean-vs-zoho-crm.md) * Built for: Small and mid-sized teams that want a low-cost CRM with Zia scoring, automation and AI agents. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the market outside your CRM with the reason on each account. ### [![Dynamics 365 Sales logo: Dynamics 365 Sales alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/dynamics-365-sales-mark.webp?width=192)Dynamics 365 Sales](/compare/ocean-vs-dynamics-365-sales.md) * Built for: Enterprise sales teams on Microsoft that want agents to research, qualify and monitor the leads and deals already in the CRM. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the market outside your CRM with the reason on each account. --- ## Day AI pricing and alternatives: common questions Short answers on what Day AI does, what it costs, how Ocean compares and what to check before you buy. **What is Day AI?** An AI-native CRM, which it calls CRMx, that builds a customer record from your meetings, email and Slack and runs agents on it. It can replace a CRM or sit on top of Salesforce or HubSpot. **How much does Day AI cost?** It charges per agent: free, then $24, $60 and $200 a month, and $800 a month on annual plans for the top tier. There are no per-seat or usage-based fees. **Does Day AI find new accounts?** Only on the Super tier, where agents prospect the web for net-new accounts and lookalikes of your best customers. On lower tiers it works from your own conversations and records. **Does Day AI learn from my won and lost deals?** It builds context from your conversations and CRM records, and doesn’t describe segments learned from won and lost deals. Ocean reads your CRM deals, learns the ICP and ranks every company against it. **Does Day AI have an MCP server?** Yes, for Claude, Cursor and Claude Code, on a paid agent tier. Ocean has an MCP server and a public API on the same data and lookalike engine. **Can I use Ocean with Day AI?** Yes. Day AI keeps what you know about your customers, and Ocean ranks the companies you haven’t met. Ranked accounts reach Day AI through Ocean’s public API or MCP, so its agents start on accounts worth the work. **Is Day AI ready for an enterprise security review?** It states SOC 2 Type II, with the report available under NDA, a published data processing addendum and no training on customer data. Ask for the current report. **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. --- ## Sources (12) checked November 13, 2026 * [Day AI](https://day.ai/) * [Day AI pricing](https://day.ai/pricing) * [Day AI MCP server](https://day.ai/mcp) * [About Day AI](https://day.ai/about) * [CRM security review (Day AI)](https://day.ai/guides/ai-crm-security-review) * [The best AI CRM for a startup (Day AI)](https://day.ai/guides/best-ai-crm) * [Day AI raises $20 million Series A (Pulse 2.0)](https://pulse2.com/day-ai-20-million-series-a) * [HubSpot](https://www.hubspot.com/) * [Salesforce Agentforce pricing](https://www.salesforce.com/agentforce/pricing/) * [Salesforce and Anthropic partner to deliver Claudeforce (CIO)](https://www.cio.com/article/4214458/salesforce-anthropic-partner-to-deliver-claudeforce.html) * [Zoho CRM](https://www.zoho.com/crm/) * [Dynamics 365 Sales (Microsoft)](https://www.microsoft.com/en-us/dynamics-365/products/sales) --- ## What teams say about Ocean [All case studies](/case-studies.md) --- > 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](/case-studies/brandwatch.md) > 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](/case-studies/zenmedia.md) Laura Salmina, Sales Developer at Tele2 IoT [Read Tele2 IoT's story](/case-studies/tele2.md) Julian Berbec, Growth Marketer at Monta [Read Monta's story](/case-studies/monta.md) > 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](/case-studies/clay.md) > Ocean.io reduced our average cost per Marketing Qualified Lead by 23%. > > — Garrett Butler, Digital Engagement, CBC [Read CBC's story](/case-studies/cbc.md) > 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](/case-studies/scalestack.md) > Ocean.io allows us to identify lookalike companies with incredible accuracy. > > — Maged, Head of Product, Surfe [Read Surfe's story](/case-studies/surfe.md) --- [ocean.io logomark](/index.md) ocean.io logotype [Home](/index.md) [Discovery](/index.md) [Workflows](/index.md) [Context studio](/index.md) [Search](/index.md) [Assistant](/index.md) [Leads](/index.md) [API](/index.md) [Extension](/index.md) Recommendations Segments Models ### Recommendations 1,304 companies Tier 1 · 68 Tier 2 · 241 Tier 3 · 512 Tier 4 · 483 All CRM statuses 1 | Company | Score | Segment | Matched signals | Status | Location | | --------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------------ | ---------------------------------- | ------- | -------------- | | ![Moss logo](https://cdn-bunny.ocean.io/logos/getmoss.com/5cd47a9faf8cd98ac4805334af0a3a31be1edb6c.png?width=72) Moss | T1 92 | Mid-market FinTech | Industries: FinTech +2 | Net new | Germany | | ![Spendesk logo](https://cdn-bunny.ocean.io/logos/spendesk.com/680a4a70ec12e26b7920057edb74b23cfc8af299.png?width=72) Spendesk | T1 89 | Mid-market FinTech | Industries: FinTech +2 | Net new | France | | ![Brex logo](https://cdn-bunny.ocean.io/logos/brex.com/2c66f22edd5c0a2cb1eec442e151128e4e8019a8.png?width=72) Brex | T1 86 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Payhawk logo](https://cdn-bunny.ocean.io/logos/payhawk.com/a80969444c1e52f57ae3374048cab1e00e0fdb22.png?width=72) Payhawk | T1 83 | Mid-market FinTech | Industries: FinTech +2 | Net new | United Kingdom | | ![Ramp logo](https://cdn-bunny.ocean.io/assets/custom/pricing/ramp-logomark.webp?width=72) Ramp | T2 79 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Rydoo logo](https://cdn-bunny.ocean.io/logos/rydoo.com/32e0ac2fe888f3db8ff3e0eeef98dacb410722b6.png?width=72) Rydoo | T2 74 | Mid-market FinTech | Industries: Software +2 | Net new | Belgium | | ![Circula logo](https://cdn-bunny.ocean.io/logos/circula.com/7a2303a2a1b191b8bcda9eff1af4ec066361f27d.png?width=72) Circula | T2 68 | Mid-market FinTech | Industries: Software +2 | Net new | Germany | | ![Wallester logo](https://cdn-bunny.ocean.io/logos/wallester.com/91c6be05eb0e08e95d0b13c9b1216345389226c2.png?width=72) Wallester | T2 63 | Mid-market FinTech | Industries: Financial Services +2 | Net new | Estonia | ## 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 [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api)