All your company’s data, ready for every AI agent.
Your data, your customers, deals and products, and the metrics you run on, in one place with the right access for every person. Any AI agent can answer from it and act on it, and any internal app can run on it, from a CRM to finance reporting. Our engineers build it for you, or your own agent does.
Our engineers build the first version on your data in two weeks, at a fixed price.
From the team behind SegmentStream, running data infrastructure at scale for ten years. Pilots open now; self-serve this fall.
From the team behind SegmentStream, trusted by
Your company’s context, in one place
Your data stays in your workspace: your company’s own private space in SegmentStream Cloud. Your team and your agents work from the same numbers, each with the access they should have.
1
Bring your data together
Your CRM, ad platforms, billing, accounting and website, connected once. 170+ integrations, and the data lands in your own workspace.
See integrations →2
Model your business once
Customers, deals and products become objects; revenue, pipeline and acquisition cost are defined once as metrics. Every person, app and agent works from the same model.
Objects and metrics →3
Ask, or build on it
Connect Claude, ChatGPT or any agent with one connector and ask in plain words. Switch agents any time; your context stays. Or build the apps your teams need: a CRM, lead scoring, finance reports.
What teams build →Switch agents. Keep your context.
Your company’s context lives in your workspace, not inside an agent. Connect Claude, ChatGPT, Dots, Grok Bot, Muse, OpenClaw or whatever ships next with one connector, and it starts with everything your team already set up. Moving to a new agent takes a minute, not a rebuild.
Connect any of them
- Claude
- ChatGPT
- Dots
- Grok Bot
- Muse
- OpenClaw
- Hermes Agent
- Whatever ships next
One connector each. A new laptop or a new agent is ready in one click.
Your data and objects
Sources, tables and records of customers, deals and products stay in your workspace.
Your metrics
Revenue, pipeline and CAC mean the same thing in every agent.
Your access rules
Each person sees what they should, whichever agent they use.
Your skills and apps
Skills and apps your team published are there from the first question.
Each agent keeps its own chat history. Your company’s context comes with you.
An internal app for every team.
Finance, marketing, sales and product each get an app shaped to how they work, on your own domain. Sign-in and per-team access come managed, so Finance sees the finance app and nobody else does. Every app runs on the same numbers your agents use.
// Only finance opens this route
export const access = team("finance")
const rows = await metrics.query({
select: ["revenue", "opex", "net_burn"],
grain: "month",
last: 4,
})metric: net_burn
label: Net burn
sql: opex - revenue
owner: financeagent · +142 −0 · merged to main · deployed 2 min ago
Cash flow
Payments
Managed auth & SSO
Google, Okta or your own IdP, wired before the first deploy.
Access control
Roles decide which app opens and which rows it returns.
Custom domains
Every app gets its own subdomain, SSL issued and renewed.
Build any back-office app. Own it.
CRMs, ERPs and back-office tools were rented because building your own meant years of plumbing. Now your agent writes the app, and the platform hands it every part it needs. The SaaS you rent becomes software you own.
Build instead of renting
- CRM
- Product catalog
- Orders and fulfilment
- Partner program
- Contracts
- Support desk
Objects
Customers, deals, products and orders, with fields and links.
Actions
Move a deal, approve an order, issue a refund, with a history.
Sign-in and access
Sign-in, roles and per-team access, handled for every app.
Metrics
Revenue and pipeline counted from the same records.
Agent Gateway
Every agent reads and works in it through one connector.
Connections
Records filled from Stripe, HubSpot, Shopify and the rest.
Start from the problem you have
Every solution runs on the same company context. Our engineers build or migrate it for you, or your own agent builds it.
Marketing analytics
Attribution and budget optimization on first-party data
MMM & incrementality
Open-source MMM and geo tests on your own data
Profit analytics
Margin by order, product and channel after every cost
Replace GA4
Leave GA4 or Adobe Analytics without losing a hit
Replace your CDP
Keep Segment or RudderStack calls, own the pipeline
Replace product analytics
Leave Amplitude or Mixpanel, keep your track calls
Lead scoring
Grade leads A to D against standards you can read
Semantic layer for AI
Metrics every agent can trust
Business intelligence apps
Analytics apps instead of dashboards
CRM and back office
Your own CRM and back office, on objects you own
Finance reporting
P&L, cash and SaaS metrics reconciled to your books
Warehouse migration
Move off Snowflake or Databricks with proven parity
Agent Gateway
Connect every agent through one MCP endpoint
Traffic quality
Score paid traffic for bots and invalid clicks
Nine data tools, replaced by one context layer
A typical company pays for nine data tools and the engineers who glue them together, and the numbers still drift between them. Once agents are how people ask questions, BI, the warehouse and the pipelines feeding them become one thing: your company’s context, in one place every agent and app reads. The records you keep in rented CRMs and back-office tools become objects you own, in the same place.
Before: the patchwork stack
~$250k/yr · 9 contracts · 2 data engineers · T+ 6 months
Typical mid-market list prices.
After: one platform
Collect
Process
Store
Model
Serve
Usage-based · 1 contract · first version in two weeks
Works with the tools you already run
170+ integrations: ad platforms, CRM, billing, accounting, commerce, support, warehouses and the trackers already on your site. Connect to what you run, or replace it when you’re ready, with the numbers proven to match first.
“Agents will keep changing. Your company’s context shouldn’t have to. Keep it in one place you own, and every agent starts from what your team already knows.”
Enterprise, with our engineers
Our engineers bring your data, objects, metrics and access rules into your own workspace and build what your teams need, or migrate what you run today, as code you own. It starts with a fixed-scope pilot.
Self-serve, after launch
Self-serve opens to the waitlist first. You’ll create a workspace, connect your own agent and pay only for what runs.
Your company’s context, ready for every agent.
$ segmentstream workspace create acme --region eu
▸ workspace ready · data, objects, metrics and access rules in one place
▸ connect Claude, ChatGPT or Cursor with one connector
▸ tell your agent: “add our billing API as a source”
Our engineers build the first version on your data in two weeks, at a fixed price.
Or join the waitlist for self-serve:
Pilots are open now. Self-serve opens to the waitlist this fall.