DataGlue

Your data is in pieces. DataGlue glues it together.

Your website, tills, cameras, sensors and CRM each see a little of your customer. DataGlue joins it into one picture. Ask a question in plain English and see the answer, and why.

Book a CallSee the Outcomes

Bring one decision. Get a straight answer on fit.

DEMOGLUE CONSOLE · EVENTS TO TAGSFIG. 01

Demo, sales: People who booked a discovery call, then signed within 30 days. 12 people. Alex Morgan, tagged: Came from a search ad from Ad click; Read pricing twice from Website; Left the form at step 2 from Booking form; Booked a call from Booking system; Proposal sent from CRM; Deal signed, Day 23 from CRM. Events: SEARCH AD, WEBSITE, FORM, BOOKING, CRM, EMAIL, then deal signed.

THE RESULTAsk in plain words. See the rule and the count.

THE TAGSEach tag shows its source, confirmed or estimate.

THE EVENTSEvents in order, each from its own system.

Trusted by

An example of how it comes together. One fictional customer, followed across six systems.

FOLLOW ONE CUSTOMER

Six systems. One Sarah.

Meet Sarah Chen. Your website sees a visitor, your booking system a call, your CRM a deal. DataGlue joins them into one record, with the source on every step.

01CREATE + CONNECT

DataGlue follows each customer from first click to payment. Across every system they touch.

Ad click, website, form, booking, sales call, CRM, email and payment, glued into one record.
SARAH CHEN · FICTIONAL CUSTOMERDEMO
  1. Search adClick id read from the landing URL
  2. WebsitePricing, read twice
  3. Booking formSaved at step 1
  4. Booking systemDiscovery call booked
  5. CRMCall result, proposal, deal
  6. Email platformFollow-up email opened
THE GLUE
Deal signedEvery step with its source
02RESOLVE

It knows when four records are one person. Matched on evidence, never guessed.

Each link is marked confirmed, candidate or conflict. Nothing merges silently.
IDENTITY · SARAH CHENDEMO
  • Visitor 7f3cWebsite · anonymous
  • Email (masked)Booking form
  • Sarah C.Booking system
  • Sarah ChenCRM
Sarah Chen4 RECORDS · 1 CANDIDATE
  • Website to booking form · same visitorCONFIRMED
  • Booking form to CRM · exact email matchCONFIRMED
  • Booking system to CRM · similar name, different emailCANDIDATE
03MODEL

It keeps the whole story in one living model. We call it the Glue.

Every step in order, with its system, its time and its source.
THE GLUE · SARAH CHEN · OBSERVED, NOT MODELLEDDEMO
  1. Day 1 · 09:12Search adClicked a search ad. Click id read from the landing URL.
  2. Day 1 · 09:14WebsiteRead pricing.
  3. Day 9 · 20:41WebsiteRead pricing again.
  4. Day 9 · 20:46Booking formSaved at step 1. Left at step 2.
  5. Day 10 · 08:03Booking systemBooked a discovery call.
  6. Day 13 · 11:30CRMDiscovery call logged: qualified.
  7. Day 14 · 07:55Email platformOpened a follow-up email.
  8. Day 21 · 16:20CRMProposal sent.
  9. Day 23 · 10:05CRMDeal signed.
  10. Day 23 · 10:40CRMPayment received.
04ASK

It answers in plain words, with the evidence. In the Glue Console.

Every step of the answer shows what it read.
GLUE CONSOLE · ASK AIDEMO
QUESTION

What did Sarah do before she booked?

  1. Find Sarah's profile (done)
    • profiles · 1 match
  2. Read her visits, forms and bookings (done)
    • search ad · click id
    • website · pricing, read twice
    • booking form · step 1 saved
    • booking system · 1 booking
  3. Put them in order (done)
    • day 1 to day 10
  4. Answer, with what it read (done)
    • 4 sources
ANSWER
She clicked a search ad, read pricing twice in nine days and started the booking form, but left at step 2. She booked a discovery call the next morning.
  • Search ad
  • Website
  • Booking form
  • Booking system
05ACT

And it sends what it knows back out. To any destination, BI tool or LLM you choose.

Where connected in the build. Every send is logged, and any row can be retried.
DELIVERIESDEMO
  • CRMNew lead, with first, last and converting touchDELIVERED
  • Email and ad platformsCall booked, with click id and match keysDELIVERED
  • Your warehouseEvidence streamDELIVEREDAFTER 1 RETRY

Every send in one log. Retry a single row.

See Sarah’s full journey
  1. Day 1 · 09:12Search ad

    Clicked a search ad. Click id read from the landing URL.

  2. Day 1 · 09:14Website

    Read pricing.

  3. Day 3 · 18:20Mobile app

    Installed the app and saved a store.

  4. Day 5 · 12:41Car park camera

    Parked at the shopping centre. Plate matched to her loyalty card.

  5. Day 5 · 12:58Store

    Visited the store for 24 minutes. Bought a coffee.

  6. Day 9 · 20:41Website

    Read pricing again.

  7. Day 9 · 20:46Booking form

    Saved at step 1. Left at step 2.

  8. Day 10 · 08:03Booking system

    Booked a discovery call.

  9. Day 13 · 11:30CRM

    Discovery call logged: qualified.

  10. Day 14 · 07:55Email platform

    Opened a follow-up email.

  11. Day 21 · 16:20CRM

    Proposal sent.

  12. Day 23 · 10:05CRM

    Deal signed.

  13. Day 23 · 10:40CRM

    Payment received.

Check any number before you act on it.

  • Source on every fact. Each step keeps its system and its time.

  • Matched on evidence. Links are confirmed, candidate or conflict. Nothing merges silently.

  • Rows behind every count. Open any number to see the people in it.

THE NEXT CALL STARTS WITH CONTEXT
“You read our pricing twice before you booked. Let’s start there.”
Want this view of your own customers? Bring one decision. We'll trace its systems with you.Book a Call
WHAT WE GLUE TODAY

Keep your tools. Connect your systems: CRM, cameras, POS, IoT sensors, QR menus, ticketing, loyalty cards and warehouse.

No migration. Our team connects what you already run. AI can reach into each silo; DataGlue joins them into one model, and each fact keeps its source.

  1. Before they get in touch

    Visits, ad clicks and form behaviour, kept by our website script.

  2. While you get to know them

    Bookings, call results, emails and CRM updates.

  3. When they become a customer

    Deals, payments, POS sales, loyalty cards and event tickets, as your systems record them.

  4. Out in the real world

    Cameras, number plate readers, IoT sensors, QR menus, Wi-Fi and GPS trackers.

Browse all 156 systems and the route each one takes.

We agree the connections in your build. Offline activity needs a record from your systems.

Describe the outcome you want. DataGlue works it out and shows the formula in plain English.

It reads the definitions of your data sources. Outcomes feed any LLM, BI tool, report or destination you choose.

OUTCOMES

Start with a question that matters.

One decision first. The next ones, in content, analysis or workforce planning, reuse the same model.

Six more run on the same model, from operations to AI with the missing context.See the Outcomes
WHO BUILDS IT

Built with you.

A dedicated team does the connecting. Your team does the deciding.

  1. Bring one decision.

    We trace where its data lives and give you a straight answer on fit.

  2. Agree the build.

    We scope the first outcome and price it before work begins. No seat licences.

  3. Put it to work.

    Our team connects your systems, with no migration. You keep the context and the console.

FROM THE FOUNDER
“We don't do sales calls. We do deep architectural reviews.”
Ankit PaliwalFounder, DataGlue

One answer.And the path behind it.

Every Monday, someone rebuilds this story by hand. Your AI now reads the same gaps, faster. Start with the question your team keeps coming back to.

  • Priced to the outcome. Scoped and agreed before work begins. No seat licences.

  • Yours to keep. Outcomes feed any LLM, BI tool or destination. Sessions, events and identity links export on request.

  • A straight answer on fit. If we're not the right team for it, we'll say so on the call.

BRING ONE DECISIONBook a CallWHAT TEAMS BUILD FIRSTSee the Outcomes

Trusted by

  • Ticketek
  • me&u
  • InvestorKit
  • Team Global Express