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Intempt
A clam holding a glowing pearl as streams of bubbles flow into it.

Your data, your destinations, your rules.

Routes records to your own Kafka, webhooks, CRM, and messaging - the Data Engineer agent runs the recipe, you keep the destination. Topic routing, partition keys, JSON or Avro.

Start for free
G2
0.0on G2
10B+events
500M+users
7+years profitable
50+enterprises

Your cluster, your topics, your format.

Point a workflow at brokers you run. Ordered routing rules decide which record goes to which topic, first match wins, and the rest fall through to a default.

  • Ordered topic routing rules, first match winsSet a rule per topic; the first match sends the record, and anything left over falls to your default.
  • Partition key under your controlDefaults to the record ID, but you can override it per topic when a consumer needs a different key.
  • JSON or AvroPick the format your consumers already parse and paste the writer schema in. No registry to stand up.
Your cluster, your topics, your format

Everything else you already send to.

Webhooks, CRM writes, Slack, email and SMS run from the same canvas. Kafka is one destination among the ones you already use, not a separate product.

  • Webhooks in and outReceive an inbound webhook or fire one out, from the same canvas as every other destination.
  • CRM and spreadsheet writesPush a field update or a new row without a separate sync tool watching for changes.
  • Messaging and email destinationsSlack, SMS and email sit next to Kafka as ordinary destinations, not a different product to configure.
Everything else you already send to

Triggered by data, not by a schedule.

A workflow fires when a record changes, when an event arrives, or on a schedule if that is what you want. The trigger is part of the workflow, not a separate cron somewhere else.

  • Event, record-change and scheduled triggersFires on an incoming event, a record changing, or a schedule - whichever matches how the data actually arrives.
  • Branching and waits inside one canvasSplit the path on a condition or hold for a delay, without leaving the workflow you started in.
  • Runs visible per recordOpen a record and see which branch it took and why, rather than an aggregate success count.
Triggered by data, not by a schedule

What gets routed, and where it lands.

Four destinations that need no code between the event and the consumer.

Stream to your own Kafka

Wired into the toolsyour team already opens.

Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.

See every integration
JavaScript
Node JS
Apple
Stripe
Gmail
Google Calendar
Google Meet
Twilio
SendGrid
Slack
Amazon SES
Webhook
Apache Kafka
Amazon S3
Firebase Cloud Messaging

Teams love it

They stopped stitching tools andhired one system.

StockInvest

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

Read the full research
FieldsUSA

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

Read the full research
Hoperfy

Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

Read the full research

Frequently askedquestions.

They are the part that stops the duct tape growing. Four tools, three seams, and no single view of ad click to signup to trial to paid, so somebody hand-carries data between them every week. Point the sources here and the events land on one profile under one taxonomy, then a workflow routes them onward - Kafka, webhook, CRM write, Slack - from the same canvas, so nothing gets exported into a second tool to stay in sync. No engineer on staff for it either: triggers, branches and waits are set in the builder, and the Data Engineer agent runs the recipe.

Intempt Data

Route records to the systems you already run.

Kafka, webhooks, CRM and messaging from one canvas, off one resolved profile, with the guardrails on which destinations exist staying yours. Start free and connect as many destinations as you want.

Start for free