An events driven platform ingesting organizational knowledge for intelligent agentic outcomes.
onBrain
See how it worksHOW ONBRAIN WORKS
onBrain continuously listens to activity across your organization—from Slack conversations and GitHub merges to Jira tickets—transforming those events into a living graph of your organization's knowledge, systems, decisions, and planning. Every event is reasoned over by agents to identify opportunities, follow-up actions, and the required coordination across teams.
01 · INGEST
Event hooks into workplace tools such as Slack, GitHub, Jira, and more feed into one ingestion pipeline. Messages, PRs, tickets, and employee changes arrive as normalized, disambiguated events with a consistent format. Identities of those involved are resolved across platforms.
02 · GRAPH + ANALYZERS
OnBrain extracts meaningful labels, connections, and metadata from events which are written to a graph database. Dozens of analyzers sit on top of the graph to produce meaningful insights, hands free as events flow in.
03 · FINDINGS + ACTION
As findings flow in, action proposals are made. Personalized configurations dictate whether issues require approval or can initiate auto-implementation of solutions to remediate problematic findings.
Route TASK-84 from Backlog to Ingest / P1 with owner @sam.
Try it from your terminal
Drop this into ~/Library/Application Support/Claude/claude_desktop_config.json — Claude Desktop calls OnBrain's shipped MCP server locally.
{
"mcpServers": {
"onbrain": {
"command": "python",
"args": ["-m", "onbrain.mcp"],
"env": {
"ORGFLOW_NEO4J_URI": "bolt://localhost:7687"
}
}
}
}Product
Q3 Pricing Review — decisions log
Final pricing tiers approved. Enterprise bumped to $149/seat starting Oct…
#product: Mobile SDK scope
Agreed to cut offline mode from v1 and ship basic sync only. Revisit in Q4…
PR #418 — auth redesign merged
Session token storage rewritten to meet new compliance requirements per…
Index docs, Slack, email, and code into one searchable brain that grows smarter every day.
The team agreed to prioritize the mobile SDK and defer the analytics dashboard to Q2. Decision driven by feedback from Orbit and Beacon.
Ask in natural language. Get precise, sourced answers in seconds — not hours of digging.
Notion, GitHub, Jira, Salesforce — set up in minutes, no engineering required.
Queries / week
3,847
See what your team asks, surface knowledge gaps, and measure where AI saves the most time.
SOC 2 Type II certified. Role-based access, SSO, SCIM provisioning, and audit logs built in.
Trigger
New Slack message
Retrieve
Search knowledge base
Generate
Draft summary
Deliver
Post to channel
Build agents tuned to your workflows — from onboarding automation to competitive intelligence.
Knowledge Graph
Where we're going
Everything below is roadmap, not shipped. If you'd like to influence what comes next, get in touch.
The roadmap is shaped by the first three design partners.
OnBrain skills
OnBrain is the bi-temporal graph substrate every skill runs on top of. Ticket routing ships today; incident coordination, expertise discovery, and the long tail follow with each design partner.
The first mutating skill under OnBrain's approval gate.
Proposes a routing decision for an inbound Jira ticket, waits for a human approve/deny on a single-use token, and only then writes back to Jira. Every mutation is gated, logged, and traceable to the reasoning that produced it.
Autonomously implements a GitHub issue end-to-end.
Reads the linked issue, retrieves relevant context from the knowledge graph, writes code, opens a pull request, and waits for human approval before any branch is pushed. Every step is logged and tied to the issue that triggered it.
Surfaces the right internal tool before anyone builds a duplicate.
Searches the knowledge graph for existing libraries, services, and utilities relevant to a query. Returns ranked results with owners and usage context so teams reuse what exists instead of rebuilding it.
Reviews plans against institutional context before work begins.
Reads proposals, OKRs, capacity planning, etc., cross-references them against prior decisions, known constraints, and related work in the graph, and surfaces conflicts or gaps — with an approval gate before any feedback is posted.
Identifies who knows what from activity history across your org.
Derives expertise from PR reviews, Slack threads, and ticket history to surface the right person for a given topic. Returns a ranked list with evidence — no guessing, no org-chart assumptions.
Investors
We're currently raising our pre-seed round to accelerate product development and customer acquisition. If you're an investor interested in AI infrastructure, autonomous agents, or enterprise knowledge systems, we'd love to connect.
Join thousands of teams that use onBrain to work smarter — not harder.
Neil
Technical founder and ML Engineer with over 10 years of experience building scalable AI software at Apple and Accenture.
Prateek
Technical founder. Currently leads retail and finance applications at Apple. PhD in Electrical and Computer Engineering.