GTM AGENT PLATFORM
Go-to-market, rebuilt for agents running on top of a multiplayer context graph.
Day AI provides the context graph and agent control plane, the two halves of your company brain. Agents with real jobs run your go-to-market around the clock and bring your reps finished work to review. Underneath is Customer Memory, the permissioned context layer built from every call, email, and meeting, so agents know every account cold and reps spend their time on what only humans can do: building customer relationships.
“Day AI is our preferred operating system. Agents handle the work we used to do manually after every meeting, while connectors tie everything into the rest of our stack. My team and I have been building skills like crazy, and it’s remarkable what we can create on top of the context graph.”
CRM AS WE KNOW IT DOES NOT EXIST IN FIVE YEARS
It was built for a human to log every interaction and a human to look it up. Agents can now do both, and the system they need looks nothing like a CRM.
| THE MONOLITH ERA — CRM | THE AGENT ERA — DAY AI | |
|---|---|---|
| Input | You log it | Agents capture it |
| Retrieval | You look it up | Agents retrieve it |
| Output | You ask for it | Work arrives before you ask |
The CRM was the right system for its era. Every contact, every deal, every field: structured ahead of time, logged manually, retrieved by a human who knew what to ask. That architecture made sense when the only way to get value from the data was to open the record yourself. AI didn’t make the CRM better. It changed what “better” means.
The questions that matter now aren’t ones a structured field can answer: why did this deal go quiet? What was the exact thing the buyer asked last time? Which accounts have changed their buying posture in the last thirty days? Every team working around this limitation ends up rebuilding the same two pieces: a context layer that actually knows the customer, and a control plane to run agents on top of it. Day AI built both. One system. Already in production.
THE AGENTIC GTM STACKfour layers, one system
These are the pieces you’ve been missing, that let you deploy your decisions. Bring the ideas you have in markdown files and meeting transcripts to life, and turbocharge sales productivity.
THE CONTEXT LAYER
Context Graph
Customer Memory is an LLM-optimized ontology built from automatically permissioned ingestion of your team's email, calendar, meetings, and Slack. Every interaction and every internal decision about your GTM strategy, in one context layer that you control.
THE WORK
Living Agents
Agents with names, jobs, and skills, living in an org chart. Each one reports to someone on your team, hears feedback, matches their working style, and gets better at its job. Standing roles, not one-off prompts. Creativity, not chaos.
MEASURE AND IMPROVE
Self-Improvement & Eval
Know what's working and what needs your attention, on every level. Eval closes the self-improvement loop: measure the business results and the agent work that drives them, and make both better.
DEPLOY AND GOVERN
Control Plane & Harness
Ship agents and skills to the team with scoped per-user permissions, approvals before writes, versioned changes with instant rollback, and a readable audit trail. Give your sellers a fast, customized work surface, and manage the entire workspace from Claude Code.
THE SAFE CHOICE FOR AI GO-TO-MARKETsame job, benchmarked with and without the context graph
2.1x
FASTER
1.9x
FEWER TOKENS
2.6x
CHEAPER
Lightning fast with granular perms
Agents run on the context graph, not a fan-out of live connectors re-reading raw transcripts, emails and Slack messages. Right the first time.
Background tasks with guardrails
Each agent has a schedule and responds to specific events in real time. The research, prep, and follow-ups run while you sleep; the finished work is waiting when you log on.
Eliminate token cost
Day AI is optimized for frontier models like Claude, and we pass the context-graph discount straight through to you. Predictable, packaged pricing by the agent, not the seat. No overages, no procurement dance.
Control & safety
Roll agents and skills out to the team with oversight, scoped per-user permissions, and a readable audit trail. Data is never used to train third-party models. Built for a multiplayer GTM org from day one.
STANDING AGENTS, NOT ONE-OFF PROMPTShow the founder runs his own GTM
Christopher runs his own go-to-market on Day AI: three agents, each with a name and a job, each with skills on a schedule, each reporting to him. The morning briefing, the pipeline flags, and the drafted follow-ups are waiting when he sits down, whether or not he asked.
Every member of the platform has the same model available: describe the job, set the schedule, coach it like a new hire. Every skill run makes the context graph more complete for the next one.
THE SERIOUS ALTERNATIVE ISN’T HUBSPOT. IT’S BUILDING IT YOURSELF.
The buyer who’s serious about this rarely asks “should I get a better CRM?” The real question: should we just build this ourselves? It’s a fair question. Anyone with Claude and a few connectors can get useful work back in an afternoon. That’s real, and we’d never tell a serious team otherwise. But starting and finishing are different problems, and almost everyone prices the first one.
🚧 The wall: most DIY builds stop below this line. The permissions layer — who can see what across a team — is not a weekend of work.
The second rung up is the thing that makes the answers genuinely good: one context layer over your whole business, every email and thread and conversation, retrievable instantly. Every rung above it is a best-in-class product in its own right. And the wall most build plans don’t see coming is permissions: you can put your notes in a homemade index, but you cannot put email into it without a permissions layer that is not a weekend of work. The failure mode when you’re missing it isn’t a missed deadline. It’s your customers.
Building it yourself is the bet: an internal project, against your own roadmap, with your customers downstream of whether you finish. Safe and ambitious are the same choice here. You start Monday on the top rung instead of spending two years building toward the middle one.
TEAMS THAT DECIDED AGENTS WERE THE ANSWER CHOSE DAY AI
“My Day AI assistant reminded me about a prospect since it had been 9 days since our demo. I followed up and now the deal is advancing. I wouldn't have followed up today if I hadn't received the nudge.”
Simon Kronenberg · Co-founder & CRO, Digit
“I love Day AI. I can count at least 10+ times where it's sent me reminders in Slack to chase a lead I would've forgotten about and would not have closed without them.”
Nathan May · Founder, The Feed Media
“Day AI captures the connective tissue that usually disappears. That's what lets us build agents with substance, tasks with real understanding, outbound that knows the full journey.”
Christopher Booth · Founder & CEO, Charm
BUILT BY THE TEAM THAT BUILT HUBSPOT CRM
Day AI was founded by the original builders of HubSpot CRM. Christopher O’Donnell was responsible for HubSpot’s product direction from 2011–2021: built the CRM himself, built Marketing Hub, built and ran the organization that shipped Service Hub and Data Hub. He has already architected how the components of a customer platform interconnect across the entire lifecycle, and has spent the three years since ChatGPT launched building the rebuild from inside the frontier.
Backed by Sequoia Capital. Used by GTM teams replacing and augmenting HubSpot, Salesforce, Pipedrive, Gong, and Affinity.
GET STARTED
Run the skill where your company brain lives and it writes your upgrade plan, with the first month free. Or leave your work email and we will book you a 30-minute demo on your own data, not a sales pitch. Connect Gmail, calendar, and your meeting recordings; the first agent brief lands the morning after setup.
How do you want to start?
Built from your team’s real customer context — email, calendar, meetings, notes, and CRM — with per-user permissions, an audit trail, and human control on every write.