Your company's second brain — fully stacked.
BrainStack turns your documents and systems into an intelligent assistant your whole team can talk to. Grounded answers with citations. A live view of the AI's reasoning. Real actions in your own tools.
No credit card · Isolated per company · Your data never trains a model
Agent trace
- Planning
- Knowledge search
- Web search
- Drafting…
5 chunks · 0.89 similarity
grounded · 2 citations
How it works
From documents to decisions in three steps
Ingest
Upload PDFs, docs and links. BrainStack reads, chunks and indexes everything into your company's private knowledge base — watch it happen live.
Ask
Anyone on the team asks in plain language. The agent searches your knowledge (and the web when useful) and streams back a cited, grounded answer.
Act
Managers go further: “assign this ticket to Priya” hits your real systems through a standard protocol — with permissions enforced by design.
Retrieval lets it know.
Your documents become searchable meaning. Every answer is built strictly from what your company actually knows — and every fact links back to its source page.
RAG · embeddings · semantic search · citations
Connections let it do.
Your ticketing, HR and analytics systems plug in over MCP — an open standard. The agent takes real actions in your tools, gated by each person's role.
MCP · tool discovery · role-based access
The brain is one agent. The knowledge and the hands are yours.
The platform
An AI workspace, not a chat box
The chat is just the entry point. Everything around it — the library, the trace, the citations, the analytics — is what makes it a product your company can trust.
Intelligence
Grounded Q&A
Answers built only from your own knowledge — with “I don't know” instead of made-up facts.
Intelligence
Live agent trace
Watch every reasoning step in real time: planning, searching, acting, drafting.
Trust
Inline citations
Click any [1] to open the source at the exact page, with the grounding passage beside it.
Knowledge
Multi-source ingestion
PDFs, Word docs, URLs — parsed, chunked and indexed with live progress.
Actions
Role-based actions
Managers assign tickets and pull analytics from chat. Employees can't — by construction.
Insights
Quality you can measure
Faithfulness scores, latency, cost per answer — a dashboard, not a demo.
Platform
True multi-tenancy
Every company's knowledge lives in its own isolated namespace. Always.
Platform
Full observability
Per-request traces of what was retrieved, which tools ran, and what it cost.
No black box
Watch it think.
Every answer comes with a live trace of the agent's reasoning — what it searched, what it found, what it did, and what it cost. Trust comes from transparency, not promises.
Planning
“Needs internal docs + an action in the ticket system”
Searching knowledge
5 relevant passages from your own documents
Company system (MCP)
assign_ticket → “login-bug” assigned to Priya
Pulling analytics
get_analytics → Priya's workload this week
Answering
Grounded summary, streamed word by word, with citations
Security & trust
Built for companies that can't afford leaks
Multi-tenant AI has a scary failure mode: someone else's confidential data paraphrased into a fluent answer. BrainStack is architected so that can't happen.
Read the security overviewIsolated per tenant
Each company's vectors live in their own namespace — cross-company leaks are impossible by construction.
Permissions at the protocol
An employee's agent never even discovers manager tools. Capability-based, not prompt-based.
Your data stays yours
Documents ground answers for your workspace only. Nothing you upload trains a model.
Pricing
Start free. Scale when it sticks.
Team
$49 /mo per workspace
For teams that run on their knowledge
- Unlimited documents
- Role-based actions (MCP)
- Analytics & evaluation
- Priority support
Enterprise
Custom
For scale, SSO and guarantees
- SSO & audit logs
- Custom MCP integrations
- SLA & dedicated support
Launch pricing — subject to change before general availability. Full details →
FAQ
Questions companies actually ask
Is my company's data isolated?+
Completely. Every workspace's knowledge lives in its own namespace, keyed to your company — a query from one tenant physically cannot reach another tenant's data. It's the first invariant the platform was designed around.
Do you train AI models on my documents?+
No. Your documents are retrieved to ground answers for your workspace, and that's all. Nothing you upload is used to train or fine-tune any model.
What can managers do that employees can't?+
Employees ask questions. Managers can also act — assign tickets, pull workforce analytics — through your company's connected systems. The distinction is enforced at connection time: an employee's assistant never even discovers the action tools.
What is MCP?+
The Model Context Protocol — an open standard for connecting AI to external tools, think “USB for AI”. Your company exposes its systems once via an MCP server, and BrainStack's agent can discover and use them. Swapping Jira for Linear is a URL change, not an integration project.
How do you prevent made-up answers?+
Layered defenses: answers are grounded strictly in retrieved context, the assistant says “I don't know” when the context doesn't contain the answer, every fact carries a clickable citation, and an automated judge continuously scores answers for faithfulness.
Give your company a second brain
Set up a workspace in minutes. Upload knowledge, invite the team, and start asking.