Streams to your own Kafka, resolves identities, and replaces your CDP bill - the Data Engineer agent runs the pipeline, no handoff required. Start free.
The category: Data
A pipeline vendor hands you clean events and stops. Then you build the CRM yourself, or buy a third one and wire it back to the events you already paid to collect. Segment forwards data. It does not give you the accounts, contacts, deals and lifecycle that the data is for.
Collect events from every source, resolve them into one profile per person, and act on them in a CRM that is already deployed. Accounts, contacts, deals, tasks, meetings, scheduling and catalogs, with every change available as an event. No handoff between a pipeline vendor and the CRM you'd still have to buy - the Data Engineer agent runs both ends of that pipe.
At 1 to 30 people there is nobody to file the ticket with. You are the queue. HubSpot free holds the contacts, Mailchimp sends the email, Calendly books the call, GA4 counts the pageviews, and nothing joins ad click to signup to trial to paid. Four tools, three seams, and the duct tape is yours to maintain.
One snippet starts the collection. Events, profiles and custom objects land on a single taxonomy, so there is nothing to define upfront and nothing to migrate later. When an anonymous visitor identifies, their session history stitches onto the known profile instead of opening a second record. That is the join four disconnected tools can't make, and it's the reason the funnel was invisible.
Describe the audience in plain language and the segment resolves itself against live events. It stays current as behaviour changes, with no rebuild. Alongside it, RFM, likelihood, ICP fit and next best product compute on every profile on their own - six RFM buckets from Champions to Lost, likelihood models for churn, conversion, upgrade or reactivation. No model to build, no warehouse round-trip, no data scientist to hire first.
The Data Engineer is the Blu agent on this workspace, and it works inside guardrails you set. It publishes only to topics and buckets you have declared. It won't create infrastructure on your account - it fails loudly instead. And it tells you what a schema change would break before it breaks it, so the handoff back to you lands before the damage rather than after. Its standing skills cover the unglamorous parts: analytics foundation, data quality, compliance setup, list hygiene.
Records publish to your own Kafka topics and your own S3 buckets, in JSON or Avro, on routing rules you order yourself. Webhooks, CRM writes and messaging destinations sit on the same canvas. Consent is checked before the send. Sources and destinations are uncapped on every tier including free, so wiring up the fifth source costs nothing - which is the opposite of how a connector-capped free plan behaves.
A pipeline vendor hands you clean events and stops. Accounts, contacts, deals, lifecycle stages, tasks, meetings, scheduling and catalogs are already live here, on the same resolved profile, and every change is itself an event - so it can trigger a workflow. The recipe library ships the segment and dashboard plays on top of it, so the first useful thing you run isn't something you had to design.
Each opens a page comparing what it takes on Segment with what it takes here, and who ends up doing it. At this size the answer to “who” is usually you, which is the whole point.
The products underneath these jobs. Every one of them reads the same resolved profile, so nothing here needs a second integration to see what the first one collected.
“We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg
CEO, StockInvest
“Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.”
Eric Gardner
COO, FieldsUSA
“With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.”
Tadas Kertenis
Co-founder, Hoperfy
What a founder running the whole stack alone tends to ask before connecting a source.
Free to start, no source or destination caps, and no ticket for the next audience request.
