Half of what your team knows never gets written down. Your agents are working from the other half.
Day AI fills in the other half automatically so your team and agents can work from the full picture of every customer.
Trusted by Sequoia-backed teams and founders at B2B companies
The situation
Your agents' contact lookup comes back: “good call, next step: follow up.”
Not what happened on the last four calls. Not Tuesday's email where the champion said the timeline slipped. Whatever someone had time to type.
More tokens won't fix that.
What you built works in single-player mode
Your home-rolled agent rig works in single-player mode. The problem is the multiplayer version does not exist yet, and building it is not what you should be spending time on.
Token costs compound as you scale
When you have 10 to 15 calls a day, scraping everything to keep your agents' memory current gets expensive fast. A system that works for one person doing one call at a time falls apart when you try to run it across a team.
Your home-rolled agent rig is single-player by design
MD files in a repo, MCP servers, and bespoke scripts: these are personal rigs. The moment someone else on your team needs the same setup, there is no cloud version. You have to build it again.
Maintenance is a job you did not sign up for
Keeping your agent rig current requires constant attention: updating files after every call, fixing broken integrations, rewriting prompts when something changes. It is not a product. It is infrastructure you own forever.
Day AI is what your agent rig looks like when your whole team can use it: persistent, multiplayer, and zero maintenance.
The prerequisite
The data your agents actually need
For your agents to work reliably, they need the entire timeline of every customer interaction: every Slack message, email, and call recording, not just what made it into the CRM. Day AI keeps that record automatically.
Everything your agents need to know is already being said somewhere
Day AI reads every email, call, and Slack thread and builds structured customer memory from it: not records for humans to fill out, but memory that agents can reason over and act on. Agents that know your champion left for a new job. That the last renewal almost churned. That the follow-up window closes Friday.
What Day AI reads
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Your emails and calendar: Gmail, Google Calendar
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Your meeting recordings: recorded natively by Day AI, or ingested from Granola
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Your Slack conversations: public and private channels
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Your deals and contacts: generated from your email history, or imported from Notion, HubSpot, or Attio
What your agents get from it
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A follow-up written for every open deal, every morning
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Full account history across every call, not just the last one
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Pipeline updates from what actually happened, not what someone logged
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Agents that know when the window is closing before you have to ask
Three things your team and agents start doing in week one
01
Your agents run every follow-up
Day AI scans your entire pipeline overnight. By the time you open your laptop, there's a list of follow-ups waiting: each one a pre-written email with full context from every prior conversation.
You read, tweak if needed, and approve. Ten emails. Two minutes. Done.
02
Your agents hold the thread across every conversation
Day AI records, transcribes, and remembers every meeting: not just the notes from one call, but the thread across all of them.
It knows what you promised three weeks ago. It knows who's waiting on a proposal. It knows when a prospect said “check back in July” and it will remind you of this in June.
03
An accurate pipeline, without anyone having to maintain it
When a demo gets booked, the deal moves. When a proposal gets sent, the deal moves. When someone goes quiet for two weeks, you know about it.
No one has to remember to click a button. No one has to drag a card. Your reporting is accurate because the system is watching what actually happens: not waiting for a human to log it.
Give your agents the customer memory layer they're missing.
Get startedFounders who stopped wiring up their entire rig themselves
“It's like Cursor for CRM. Your team has thought about not just the user experience, but the agent experience. Clicking around in the UI in this day and age feels kind of barbaric.”
“I have 200 deals and following up through HubSpot still feels way too manual. I just wish I could log in and it says — here's all the messages you should send today. Approve, approve, approve.”
“You guys have built the best CRM, point blank. I tried all of them. Attio, Pipedrive — there was never anything I was excited to spend my day inside. Now I am, and it's making our entire business a lot better.”
The multiplayer version is already built. You can start today.
Get started30-minute demo
See Day AI in action
We'll show you how Day AI works, walk through what it would mean for your specific setup, and give you a direct answer on whether it's the right fit.
What you'll see
- 01How customer memory builds itself from calls, emails, and threads without custom scripts or ongoing maintenance
- 02How your agents read from persistent, structured memory without re-reading the full history on every call
- 03How it fits your existing stack, and whether it's the right move