Chat, meetings, docs, and integrations feed one shared memory. Ask Lomi anything and it answers with your team's full context.
The problem
Lomi takes all three.
The week goes back to the work.
The product
Most AI tools are single-player: one person, one chat, context that dies in a tab. Lomi is multiplayer. Your team chats, meets, and writes together in one place, with Lomi in the room as a teammate anyone can tag. Everyone sees the same answers, picks up the same threads, and moves as one.
Maya
did legal sign off on the pricing page?
Dev
@Lomi where did we land?
Lomi
Legal approved it Tuesday. It ships with Thursday's release, and Priya has the announcement.
Multiplayer by design
Your team and Lomi in the same channels, threads, and DMs. Anyone can tag it, and everyone sees the answer.
@Lomi why did we drop the annual plan?
In the Mar 4 pricing call, Maya flagged churn risk on upfront billing and Dev agreed. Priya signed off in #pricing the next morning.
Shared context
The teammate who missed the call gets the same answer as the one who ran it, with the reasoning and sources.
Meetings
Joins your calls, transcribes live, and files decisions and action items before anyone leaves.
Artifacts
Plans and specs your team and Lomi write together, kept in step with every decision as it happens.
Integrations
GitHub, Linear, and Google Workspace feed the same workspace, so nothing lives in a silo.
Works on its own
Files decisions and links PRs to tickets on its own, and pulls a person in only when a call needs one.
Why now
The timing
Models cost 1,000x less than three years ago, agents are shipping inside everyday software, and teams still lose a quarter of their week to searching.
The market
Collaboration software reaches $57.4B by 2030, and agentic AI could drive $450B+ of software revenue by 2035. Lomi is built where the two meet.
Three shifts, all in the last two years
1,000x cheaper
$60 to $0.06 per million tokens for the same capability, 2021 to 2024.
Agents in 40% of apps
Enterprise apps with task-specific agents by end of 2026, up from under 5%.
A quarter of the week
Lost by teams to searching for answers they already have.
275 pings a day. Interrupted every 2 minutes of core work.
Microsoft, 2025Where Lomi plays
Team collaboration software, now turning agentic
$450B+ of software revenue by 2035
About 30% of enterprise app revenue, up from 2% in 2025.
82% of leaders plan for agents
To expand team capacity with digital labor within 18 months.
Market by 2030
$0.0B
Annual growth
0.0%
Cloud growth
0%+
Agentic AI, 2035
$0B+
2030
Collaboration software$57.4B
Sources: a16z, LLMflation (Nov 2024) • Gartner (Aug 2025) • Atlassian, State of Teams 2025 • Microsoft Work Trend Index 2025 • Grand View Research (Apr 2025). Market path projected from Grand View's 2030 forecast and CAGR.
Competition
Chat apps added a private assistant. Docs tools put AI inside the page. Assistants and search start with one person and one prompt. Lomi is built the other way around: one AI in the team's own conversation, with the whole team's context, at one price for the org.
The landscape
Who the AI is built for, and how much of the team's work it can see.
What a 10-person team pays
LomiPer org
$20 /moSlack Business+$15 per user
$150 /moNotion Business$20 per member
$200 /moChatGPT Business$20 per user
$200 /moGlean100-seat minimum, est.
~$5,000 /moPriced per org, not per seat, so adding a teammate never adds a bill.
Side by side
Where the team talks
Channels, threads, and DMs in one place
One AI the whole team shares
Anyone tags it in a thread, everyone sees the answer
Memory across chat, calls, and docs
Answers come with the reasoning and the source
Priced for the team
Cost doesn't grow with every new teammate
List prices billed annually, October 2026. Categories show typical products; individual plans vary. Sources: Slack pricing • Notion pricing • ChatGPT Business pricing • ChatGPT group chats • Glean pricing estimates.
The team
A small senior team that has run the teams Lomi is built for, and lost the context Lomi now keeps. We ship every week and run our own company on Lomi every day.

Larson
CEO & Founder
Sets the direction and keeps Lomi close to the teams it's built for.
Strategy • Fundraising • Customers

Jack
Co-founder & Head of AI Product
Shapes how Lomi thinks, remembers, and shows up in the conversation.
AI product • Memory • Agents

Nafis
Head of Engineering
Leads the platform under Lomi, from real-time chat to the shared memory that ties it together.
Platform • Infrastructure • Real-time

Berryman
VP of Business Development
Brings Lomi to new teams and turns early design partners into lasting ones.
Partnerships • Sales • Go-to-market

Yash
Software Engineer
Builds and ships across the product, from the app to the integrations behind it.
Full-stack • Integrations

Piyush
Product Designer
Designs how Lomi looks, feels, and moves, from the app to this page.
Product design • Brand • Motion
Every team we've been on ran on scattered context. A decision in a thread, the reason for it in a meeting, the follow-up in someone's head. AI was supposed to help, and instead it gave each of us a private chat.
We think the next decade belongs to teams that work with AI together: in the same conversation, from the same context. Lomi is that room, built for the teams we've always wanted to be on.
Investors: reach us directly at founders@heylomi.ai