Delegate the grind. Keep the wins.
Go-to-market, rebuilt for agents.
Day agents run your go-to-market around the clock and bring your reps finished work to review, in real time. A full agentic GTM stack with customer memory, skills automation, and harness plus work surface let your reps spend their time doing what only humans can do — building customer relationships — while your agent workforce runs the operation behind them.
- Agents that produce work — not just answers
- Customer memory knows every customer cold
- Governed & auditable — trust what the agents do
- Works on its own or with your stack — your choice
30-minute personalized demo with a product expert — not a sales pitch. No credit card, no obligation.
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
Humans retrieve. Dashboards report. You ask for it.
↑ Humans drive input and output ↑
You log it. You look it up. You ask for it.
The agent era — Day AI
Agents retrieve. Agents act. Work arrives before you ask.
↑ Agents act. 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 is repricing the same fundamental problem every time they hit it. What’s happening is a fragmentation — and the fragments don’t reassemble themselves. Day AI built all of them. One system. Already in production.
The Agentic GTM Stack
These are the four 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.
Memory & Knowledge
Every word of every customer interaction ever, saved so agents know exactly what everything means and how it's all connected. Every discussion you've had internally and decision you've made about your GTM strategy.
Agents & Automation
Lifelike frontier model agents that come with skills and job training, and respond to the individual style and preference of each person on your team. Creativity, not chaos.
Analytics & Eval
Know what's working and what needs your attention, on every level. Measure & improve your business results, as well as the processes that drive them.
Harness & Work Surface
Give your sellers a fast, smooth and customized interface for when they want to work hands-on with an agent. Manage the entire workspace from Claude Code instead of pointing and clicking all day.
The Safe Choice for AI Go-to-market
Lightning fast with granular perms
Agents run on memory that's already processed, not a fan-out of live connectors re-reading raw transcripts, emails and Slack messages. Light on tokens, fast at scale, 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: it does the same work with far fewer tokens, and we pass that discount straight through to you. The result is predictable, packaged pricing with no overages and no surprises.
- Low, simple, transparent pricing: by the agent, not by the seat
- List price is the price: no procurement dance, no discount to negotiate
- Token-optimized under the hood, so you never do that work or pay for wasted context
Control & Safety
Roll agents and skills out to the team with oversight, scoped permissions, and an audit trail. Built for a multiplayer GTM org from day one.
- Agent & skill management: admin rollout, oversight, and ongoing optimization of automated work
- Data privacy: scoped per-user access, never used to train third-party models
- Compliance & security in a multiplayer environment
Standing agents, not one-off prompts.
Christopher runs his own GTM on Day AI — three agents, each with a job, each with skills on a schedule. This is what they had waiting for him this morning.
Reviews my new-business pipeline every morning and flags the deals where my involvement would actually move them, with a specific action for each. Keeps my opportunities current as things change.
My BDR. Every morning he hunts for CEOs and CPOs who should see Day AI, researches each one, and hands me a prioritized list of demo targets, with a reason they’ll care and a clear way in.
Follows me through my day and mines my meetings for content, maintaining my ideas page, then fleshes the best ones into full drafts by evening. Also works my podcast and speaking pipeline: checking new invitations, prepping me for upcoming shows, and finding warm intros through my network.
These aren’t demo agents. This is how the founder of Day AI actually works. Every member of the platform has the same model available to them: describe the job, set the schedule, coach it like a new hire. The agents run whether or not Christopher is at his desk — and every skill run makes the Context Graph more complete for the next one.
The serious alternative isn’t HubSpot. It’s building it yourself.
A clear-eyed look at what finishing takes — and why the safe move and the ambitious move are the same choice.
The buyer who’s serious about this rarely asks “should I get a better CRM?” They’ve moved past that. The real question: should we just build this ourselves?
It’s a fair question. You can start. 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. Almost everyone prices the first one.
There’s a ladder here. The first rung is a model with a few tools. The next is the thing that makes the answers genuinely good — one index of your whole business, every email and thread and conversation, retrievable instantly. The next is the workflow layer: the view you asked for appears, the draft opens already populated, ready to send. The next is all of that running on its own — overnight, on a schedule, without you initiating it. And the last is a team of agents per person, each with a standing job, each bringing you work before you ask.
Every rung is a best-in-class product in its own right. By the third, you’ve shipped three of them, in a category, alone.
And there’s a wall most build plans don’t see coming. You can put your notes and call recordings into a homemade index. You cannot put email into it — or anything else where who is allowed to see what actually matters — 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 — on an internal project, against your own roadmap, with your customers downstream of whether you finish. Day AI is the safe choice. And safe and ambitious are the same choice here. You don’t trade ambition for safety by buying — you start Monday on the top rung instead of spending two years building toward the middle one.
Where most DIY builds stop.
The permissions layer — who can see what across a team — isn’t a weekend of work. It’s the wall.
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, because it had been buried in my deal pipeline.”
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
Trusted by founders at B2B companies
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. That product is, to this day, the only credible alternative to Salesforce ever built.
He has already architected how the components of a customer platform interconnect across the entire lifecycle — the exact problem a natural-language-native platform has to solve — 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.
Start with what’s already built.
Connect Gmail, calendar, and your meeting recordings. The first agent brief lands the morning after setup.
Day AI is the GTM agent platform that runs alongside your team — prepping for calls, drafting follow-ups, moving deals forward, flagging risk. Every rep starts from the full story on every account. Every skill runs on a schedule. The system compounds every day because every conversation makes the memory more complete.
Four-piece agentic GTM stack
Standing agents — jobs, skills, schedules
Customer memory the whole team draws from
Built from your team’s real customer context — email, calendar, meetings, notes, and CRM — with permissions, audit trails, and human control.