Praxos GTM brain
Praxos provides team messaging with shared memory for people and AI agents, aimed especially at small AI-native teams.
category
AI team messaging and shared memorymarket profile
- text: Small teams using multiple AI sessions need customer conversations and product decisions to stay accessible across people and agents.
- text: Praxos describes its best fit as solo founders through early-stage teams of roughly 25 people.
personas
- title: Startup founderpains:
- Customer insights from calls must be repeated to engineers and agents.
- Multiple AI sessions duplicate work or lose context.
- title: Founding engineerpains:
- Coding agents lack the customer discussion and product decisions behind a task.
- Work overlaps with teammates when context is scattered across sessions.
- title: New or distributed team memberpains:
- Catching up requires asking others or reading fragmented threads.
- Time zones slow down simple context requests.
icp
- text: Solo builders and early-stage software companies with up to about 25 people, especially founder-led teams using coding agents.
- text: Remote or asynchronous teams with decisions spread across chats, calls and AI sessions.
message pillars
- text: Keep team conversations and agent work in a current shared memory.
- text: Reduce recurring coordination meetings.
- text: Give agents context from team discussions before they act.
objections
- objection: Why change our existing chat workflow?response: Try a focused founder and engineering workflow where customer calls and agent sessions regularly require manual handoffs.
- objection: Can agents access sensitive customer or team conversations safely?response: Review current permissions, retention and security terms before connecting sensitive material.
- objection: Is there a fit for a single builder?response: The site describes solo use across successive AI sessions as an entry point, with more value as teammates join.
competitors
- name: Praxawebsite: https://praxa.io/solutions/team-coordination/why: Offers an AI teammate in team chat with shared context and memory.
- name: Perplexitywebsite: https://www.theverge.com/ai-artificial-intelligence/1028302/perplexity-teammates-ai-agents-workwhy: Teammates provides AI agents that work from shared projects and memory.
influencers
- name: Lucas Urbisaiaurl: https://www.linkedin.com/pulse/team-messaging-people-agents-lucas-urbisaia-yg4df?tl=enwhy: Founder explains the product's people-and-agent messaging thesis.
keywords
- AI team messaging
- shared memory for AI agents
- AI coding agent team context
- company knowledge AI assistant
- AI meeting and chat memory
- agent collaboration platform
voice
- Conversational and concrete
- Founder-oriented
- Focused on everyday coordination
signals
- text: A small engineering team uses Claude Code or other coding agents across concurrent projects.
- text: Founders repeatedly relay customer feedback into engineering discussions and agent prompts.
stack
- Claude Code
- MCP
- Mac
- Windows
pricing
model: unknown
motion
hybridchannels
- founder LinkedIn
- blog
- community
- self-serve
confidence
mediumFounders
- name: Lucas Urbisaiatitle: Founder/CEOrole: CEObio: Harvard Applied Math. Argentine. Loves History. Locked in an eternal feud with Soheil Sadabadi, the Al Khwarazmi wannabe.
- name: Soheil Sadabadititle: Founder/CTOrole: CTObio: Computer Scientist and Al-Khwarazmi wannabe.