this+that vs Day AI
Both put AI to work on your messages. Day AI points it at the pipeline.
Day AI turns your team's email, calendar, meetings and Slack into a shared context graph, and gives go-to-market teams agents that work the pipeline from it. this+that reads Gmail, Outlook, Slack, Microsoft Teams, and Google Chat as messages arrive, does what they ask for, from routing an invoice to sending the quote, and keeps what the company learns in a brain every workflow reads and writes. If the work you need handled is the sales pipeline, start with Day AI. If it arrives all over the company, that's what we built.
A system for the revenue team, or one for the whole operation
Day AI is built by people who have made a CRM before. Its founder and CEO, Christopher O'Donnell, led the platform at HubSpot, and the company raised $20M from Sequoia, with Conviction, Greenoaks, Sound Ventures, Pillar and Permanent Capital also backing it. At its center is Customer Memory, a context graph built from your team's email, calendar, meetings and Slack that every agent and every person reads. Its agents have names, jobs and skills, and each one reports to someone on your team. They act when something happens, on a schedule or when asked, and Day AI says nothing goes out without your approval. Netlify, Fieldguide, Tabs and Pydantic AI are among the customers on its site.
It's built for go-to-market teams, in its own words: the homepage promises to upgrade "your go-to-market harness", the example agents include account executives, pipeline analysts and sales coaches, and pipeline management, pipeline analytics and prospecting are what the paid tiers add. If you run a sales team and want the pipeline kept current without anyone typing it in, Day AI is built for exactly that, and it goes much deeper on the pipeline than we do.
this+that starts from the message rather than the deal. Every message in every connected channel is read as it arrives. DoBox pulls out the requests and commitments and assigns them to whoever owns them, Contacts assembles itself from the accounts you connected, and workflows act on all of it: route an invoice to finance, chase an approval, draft a quote from the pricing in the brain, or add a new contact to HubSpot. Workflows write back to the brain as they run. A new deal is one of the things that arrives, alongside support requests, vendor paperwork, hiring and everything else a company runs on.
Feature by feature
How the two products compare across the things that matter most.
| Topic | Day AI | this+that |
|---|---|---|
| Built for | Go-to-market teams. The example agents are mostly sales and customer roles, such as account executive, pipeline analyst and onboarding coach, and the homepage shows the context graph feeding support, product and the CEO as well. | The whole company. Any message in any connected channel can become a task, a workflow run or something the brain knows. |
| What sits at the center | Customer Memory, the context graph, holding people, organizations and opportunities. Pipeline and opportunity management come with the Professional tier. | The message stream. DoBox, Contacts and the brain each fill from it, and workflows act on all three. |
| Channels read | Gmail and Calendar, meeting recordings, and Slack, with Gong, Snowflake and an API also shown on the homepage. Outlook, Microsoft Teams, and Google Chat are not listed on their site. | Gmail, Outlook, Slack, Microsoft Teams, and Google Chat, read as one stream, plus Google and Outlook calendars. |
| Knowledge | A context graph built from automatically permissioned ingestion of email, calendar, meetings and Slack, shared by every agent and every person. It fills as the messages arrive. | The brain: editable pages in personal, team and public spaces that people and agents both read and write. Workflows write back to it as they run and contacts keep themselves current from your messages. We're building toward the whole brain doing the same. |
| Tasks | Task management on Turbo and above, with agents that catch action items and draft follow-ups. | DoBox reads every connected channel and pulls out requests, commitments, deadlines and follow-ups, then assigns them across the team with priorities, due dates and comments. |
| Agents and automation | Agents with names, jobs and skills, each reporting to one person and improving on their feedback. They act on events, on a schedule or when asked, with an audit trail and approval before anything goes out. Each paid tier sets how many automated skills an agent runs. | Workflows described in plain language, with conditional logic, loops, AI decisions mid-run and sub-agents. Triggered by arriving messages, schedules, new tasks or new contacts, with approval gates on any action. |
| Contacts | Create and update people and organizations on every tier, with opportunities added on Professional. | Contacts assembles itself from the channels you connected, with each person's message history attached, shared across the team. No deals or pipeline stages. |
| Pipeline | Pipeline and opportunity management, custom properties and views, and pipeline analytics on Professional, with prospecting on Executive. A real strength. | Not built. We don’t manage deals or forecast a pipeline. A workflow can keep HubSpot or Salesforce current through MCP. |
| Meetings | Meeting recording and notes on every tier, including Free, with clips available as context. | Not available. We don’t record or transcribe meetings. Granola notes can come in through its MCP connection. |
| Integrations | Gong, Snowflake, an API and SDK, and an MCP server that puts your Day AI workspace inside Claude, Cursor and Claude Code. | Built-in MCP connections including HubSpot, Salesforce, Snowflake, Granola, GitHub and Notion, plus any tool with a remote MCP server. |
| Security and compliance | SOC 2 Type II, with the report available under NDA. Their data policy says customer data is never used to train AI models. | SOC 2 Type I as of July 31, 2026, and CASA Tier 2, with Type II underway. |
| Pricing | Per agent, not per seat. A Free plan, then Turbo $24, Professional $60 and Executive $200 per agent per month, billed annually. Colleagues join at no cost once a workspace has a Professional agent, and there's no usage-based charge. | Free for 30 days, including 3,000 credits, no credit card required. Then $35 per user per month, or $29 billed annually, with 3,000 credits a month per person. |
- Pipeline depth. Opportunity management, custom properties and views, pipeline analytics, and prospecting on Executive. We have no pipeline at all.
- Meeting recording and notes on every plan, the free one included.
- A context graph that fills itself from email, calendar, meetings and Slack, with permissions applied as it ingests.
- Agents shaped like the people they work for. Each one reports to a person, takes that person’s feedback and gets better at the job.
- Pricing that doesn’t charge for colleagues. A workspace with one Professional agent adds teammates at no cost, with no usage-based fees.
- SOC 2 Type II, a report we haven’t completed yet.
- A founder who led the platform at HubSpot, and $20M from Sequoia behind the company.
- Every channel the company runs on: Gmail, Outlook, Slack, Microsoft Teams, and Google Chat, read as one stream.
- A unified inbox where you read and reply across every connected channel.
- DoBox: work pulled out of any message, assigned to whoever owns it, and tracked to done.
- Contacts that build themselves from the accounts you already connected, with each person's history attached.
- A brain of editable pages for the whole company, which workflows read for context and write back to as they run.
- Workflows for any team, from routing an invoice to finance to drafting a quote from the pricing in the brain.
What is Day AI?
Day AI describes itself as the context graph and agent control plane for go-to-market teams. It builds a shared memory from your team's email, calendar, meetings and Slack, and runs agents with named jobs, such as a pipeline analyst or an account executive, that act on it. It was founded by Christopher O'Donnell, who led the platform at HubSpot, and is backed by Sequoia.
How much does Day AI cost?
Day AI charges per agent rather than per seat. There is a Free plan, and paid agents are $24 (Turbo), $60 (Professional) and $200 (Executive) per month on annual billing, with volume discounts from 21 agents. Colleagues join at no cost once the workspace has a Professional agent. this+that is free for 30 days, then priced per user.
Should we choose Day AI or this+that?
If the job is running a sales pipeline, with meetings recorded and opportunities kept current, choose Day AI; that's what it's built around, and we don't manage pipelines. If the problem is that work arriving across the company's email and chat goes untracked, and you want it assigned and acted on wherever it lands, choose this+that. A company can also run both, with Day AI on the pipeline and this+that on the rest of what arrives; a workflow here can keep HubSpot or Salesforce current through MCP. A company on Outlook or Microsoft Teams should check which channels each product reads.
See what's waiting in your channels
Connect your mail and your chat tools and this+that starts reading them. The requests, follow-ups and open commitments sitting in your messages become tracked work, and your workflows write what they learn back to the brain.
Free for 30 days · No credit card required · Then $35 per user per month · $29 billed annually