DataGlue

Keep the context when tools change.

Keep the meaning, history and source of your customer records, so the next team, tool or outcome starts from the same model.

Example outcome formula

Count people with Call booked, then Deal signed within 30 days. Reuse that definition and its sourced records for the next outcome.

Drafted from your source definitions. Review before saving.

Book a Call

A dedicated team builds it with you. Start with one decision.

FIG. 01 · ONE MODEL, MANY OUTCOMESDEMO
Website
Booking form
Booking system
CRM
Email platform
THE GLUE
YOUR WAREHOUSE

Each outcome builds on the same model.

Required systems

Connect the required systems. Start with the records you have.

Your team brings one decision. Our dedicated team connects the sources and builds it with you.

  • Website, forms and bookings. the first journey
  • CRM and email. customer history and results
  • Data dictionary. field meanings and team notes
  • Your Postgres warehouse. the agreed evidence stream

Agree the connection route.

Warehouse streaming and connections to your LLM, BI tool or destination are agreed as build scope. Sessions, events and identity links can be exported on request.

Know the limits.

Exports cover sessions, events and identity links. Warehouse streaming needs setup in the build; changing a source may require mapping its definitions again.

Reuse the record for the next outcome. Keep its source definitions and history.

DEMOTHE GLUE · SARAH CHEN · 10 STEPS · 6 SYSTEMSFIG. 02
  • SEARCH AD
  • WEBSITE
  • BOOKING FORM
  • BOOKING SYSTEM
  • CRM
  • EMAIL PLATFORM
  1. OUTCOME 1 · THE FULL PATH TO REVENUE
    Deal signed12 PEOPLESEE THE ROWS
  2. OUTCOME 2 · SALES-READY CONTEXT
    Sarah Chen · before the call3 SIGNALSBuilt on the same record
  3. YOUR WAREHOUSE · EVIDENCE STREAM
    Sessions · events · identity linksAs they happen, where the build sets that up
  4. EXPORT ON REQUEST · DRY RUN
    • SessionsCOUNTED
    • EventsCOUNTED
    • Identity linksCOUNTED
    MANIFEST · CHECKSUMS · SIGNED LINK

DEMO. Sarah is fictional. Sessions, events and identity links can be exported on request.

Check the number. Open the records behind it.

  • Source and time. Each count opens to the form, booking, event or CRM records behind it.
  • Link evidence. Confirmed, candidate, conflict and unmatched CRM links keep their state in view.
  • Your definition. Read the plain-English formula and preview the count before saving.
Book a Call

On the call, we map one outcome and the systems it needs. A dedicated team builds it with you.

Scoped and priced to the outcome, agreed before work begins. No seat licences.

HOW THE CONTEXT CARRIES ON

Reuse the model you build. Then the next outcome starts from it.

A dedicated team builds one living model with you. Your team keeps the context and its source definitions.

  1. 01

    Start with one outcome worth money

    Connect only the sources the first outcome needs. Build on the systems you already run, then reuse the same model.

    OUTCOME 1 · THE FULL PATH TO REVENUEDEMO
    • SYSTEMSWebsite, booking form, booking system, CRM
    • RESULTDeal signedLIVE
  2. 02

    Keep the facts with their meaning

    Keep each record's source and time. Store field meanings, sample values and your team's notes in the data dictionary.

    DATA DICTIONARYDEMO
    • FIELDcall_result
    • MEANINGCall result from your CRM
    • SAMPLEqualified
  3. 03

    Stream the evidence to your warehouse

    Stream sessions, events and identity links to your Postgres warehouse where the build sets that up. Booking form submissions land there too.

    YOUR WAREHOUSE · EVIDENCE STREAMDEMO
    • SESSIONSAs they happenSTREAMING
    • EVENTSAs they happenSTREAMING
    • IDENTITY LINKSAs they happenSTREAMING
  4. 04

    Export on request

    Check counts in a dry run. Export sessions, events and identity links as NDJSON with a manifest, checksums and short-lived signed links, on request.

    EXPORT · DRY RUNDEMO
    • SESSIONSCounted
    • EVENTSCounted
    • IDENTITY LINKSCounted

    MANIFEST · CHECKSUMS · SIGNED LINK

As part of an Outcome Build, we can wire the context into the AI tools your team already uses.

BUILT ON

One model, and the next outcome on it. With the evidence in your own warehouse, where the build sets that up.

  • One living model.People, steps and results, each with its source, in the Glue Console your team keeps.
  • The next outcome, on the same model.Built as part of the Outcome Build, from the same record.
  • Evidence in your warehouse.Sessions, events and identity links, streamed to your Postgres warehouse where the build sets that up.
  • An export with checksums.Dry-run counts first, then NDJSON with a manifest, on request.

Plan for the next tool change. We'll find what context it would take with it.

On the call, we find where your customer history lives today and what a change would lose. In the Outcome Build, a dedicated team glues the first outcome into one model your team keeps.

Decide what to build first.

  • Which customer history must carry over to the next tool.
  • Which reports get rebuilt by hand each month.
  • Which first outcome the next ones should build on.

Keep the context you build.

The same model can feed your LLM, BI tool or destination. We agree each connection in the build.

Scoped and priced to the outcome, agreed before work begins. No seat licences.

Book a CallSee the Outcomes

On the call, we check the outcome, the sources and the fit.