DataGlue

Your alert data is in pieces. DataGlue glues it together.

Every system you run holds part of the picture. DataGlue joins them into one track for each contact. See which threats come back, and act on it in the tools you already use.

Book a CallSee the Outcomes

Bring one decision. Get a straight answer on fit.

DEMOGLUE CONSOLEFIG. 01
SALESE-COMMERCERETAILHOSPITALITYLOGISTICSDEFENCE

Demo, defence. Drone 041. Systems plug in: radar, cameras, drone detector, fence sensors, access control, patrol log. DataGlue joins them into one record, tagged: Unregistered drone from Drone detector; Seen 3 times in one day from Drone detector; Confirmed on camera from Cameras; North fence alert from Fence sensors; Patrol check logged from Patrol log; About 400m out from Radar, an estimate. The outcome, typed by you: Radar contacts confirmed on camera within 1 day. 9 contacts. Asked from GLUE CONSOLE: Which radar contacts did a camera confirm? 9 contacts, each with its radar track, camera clip and patrol check. Sent to security team, incident tool, bi: review flagged.

DEMO, FICTIONAL PEOPLE. YOUR SYSTEMS, YOUR PRIVACY RULES.

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Sound familiar?

Every sensor on site raises its own alert. None of them shows the whole threat.

A Monday you may recognise.

MONDAY 09:00

The weekend review opens three logs. Radar shows a small contact. A camera shows a drone. The north fence shows an alert. No one can tell they were the same drone.

MONDAY 14:00

The drone is back over the north fence. The operator on shift sees a new contact. Saturday's sightings sit in other logs, so it looks like the first.

Your team fills the gaps by hand. Your response depends on it.

  1. Numbers that don't agreeRadar, cameras and fence sensors each count their own way.See the fix
  2. Mondays rebuilt by handExports pasted into a sheet, out of date by Friday.See the fix
  3. AI with half the factsIt reads one system at a time, then answers with full confidence.See the fix
  4. Alerts without contextOne drone split across radar, camera and fence alerts.See the fix
See every problem we fix and how each one is solved.

WHAT LASTS

Threats change faster than the systems built to watch them. Small drones are easy to buy and easy to fly. More sensors alone no longer make a site safer.

About half of public companies disappear within ten years.

Markets, technology and customers now move faster than many companies can adapt.

The teams that stay ready trust one picture of every threat. They see each contact once, not in five logs. They respond with the whole history in hand. They can show every decision, record by record.

All three start with one clear view of each contact, across every sensor you run. Good data design makes that possible. Gluing the pieces into context is the new moat.

Here is what that looks like in defence. A fictional drone, followed from the first radar contact to a closed report.

FOLLOW ONE TRACK
DEMOfictional

Follow Drone 041. From first radar contact to a closed report.

Drone 041 first appears on radar at 18:42 on a Saturday, near the north fence. A camera confirms it two minutes later. It comes back twice before midnight. Its broadcast ID is not on the site's approved list.

Radar, cameras, the drone detector, fence sensors, access control and the patrol log each hold part of that. Here is the whole track, in order, for the people who keep the site safe.

DRONE 041DEMO · Drone 041 is fictional.
  • CONFIRMEDUnregistered droneSource: Drone detector
  • CONFIRMEDSeen 3 times in one daySource: Drone detector
  • CONFIRMEDConfirmed on cameraSource: Cameras
  • CONFIRMEDNorth fence alertSource: Fence sensors
  • CONFIRMEDPatrol check loggedSource: Patrol log
  • ESTIMATEAbout 400m outSource: Radar

The broadcast ID links every visit. Range is a radar estimate. People review and decide.

A fictional example with no operational data. Your security rules decide what connects. Anything missing stays missing.

01PLUG IN

Start with the systems you already run. Each holds part of the track.

Radar holds the contact and its path. Cameras hold the clips. The drone detector holds its broadcast ID at each visit. Fence sensors hold the alert. Access control and the patrol log hold who checked, and when.
SOURCES · fictionalDEMO
YOUR SYSTEMS
  • RADAR240 msContact · 18:42
  • CAMERAS560 msClip · 18:44
  • DRONE DETECTOR880 msBroadcast ID · 3 visits
  • FENCE SENSORS1200 msNorth fence · 18:47
  • ACCESS CONTROL1520 msPatrol badge · 18:55
  • PATROL LOG1840 msFence check · 19:07
ORCHESTRATIONSources together.
Evidence intact.
READY TO JOINDrone 041One record. Every source shown.

Example systems, connected in your build. Timings show the order of this demo, not processing speed.

02GLUE

See one track, not six logs. Every link shows why it was made.

The camera clip carries the radar track number that pointed the camera. The operator tagged that clip with the broadcast ID the detector logged. The patrol log records the fence alert against the same track. Nothing links on looks or timing alone.
IDENTITY · fictionalDEMO
  • Radar track 7731Radar
  • Clip N-12 · 18:44Cameras
  • Broadcast ID (masked)Drone detector
  • Alert NF-118Fence sensors
Drone 0414 RECORDS LINKED
  • Radar to camera · the clip carries radar track 7731CONFIRMED
  • Camera to detector · the operator tagged the clip with the broadcast IDCONFIRMED
  • Fence alert to track · the patrol log records NF-118 against track 7731CONFIRMED

Each link names the record that carries it. Nothing links on looks or timing alone.

03OUTCOMES

Ask which contacts need a closer look. In plain English.

Ask for drones seen 3 or more times in one day. DataGlue shows how it counts that, step by step. Drone 041 qualifies: seen at 18:45, 20:05 and 21:30. Open the count to see every track in it.
OUTCOMES · fictionalDEMO
START WITH A SUGGESTED OUTCOME
  • Radar contact
  • Camera confirmed
  • Seen 3 times
OR DESCRIBE YOUR OWN

Drones seen 3 or more times in one day

HOW DATAGLUE COUNTS IT

Drone detector sighting, at least 3 times in 1 day. The same broadcast ID. Range estimates left out.

  • Sighting 1 · 18:45Drone detector · same broadcast ID
  • Sighting 2 · 20:05Drone detector · same broadcast ID
  • Sighting 3 · 21:30Drone detector · same broadcast ID
THE RESULT

Drone 041 qualifies. Every clip and log behind it is attached for review.

04TAG

Know every track at a glance. Each tag shows its source.

Unregistered drone. Seen 3 times in one day. Confirmed on camera. North fence alert. Patrol check logged. About 400 metres out is a radar estimate, so it stays marked as an estimate.
TAGS · fictionalDEMO
JOINED RECORDDrone 0416 TAGS · 5 SOURCES
  • Unregistered droneCONFIRMEDSource: Drone detector
  • Seen 3 times in one dayCONFIRMEDSource: Drone detector
  • Confirmed on cameraCONFIRMEDSource: Cameras
  • North fence alertCONFIRMEDSource: Fence sensors
  • Patrol check loggedCONFIRMEDSource: Patrol log
  • About 400m outESTIMATESource: Radar
CHECK THE EVIDENCE

Facts show their source. Estimates are marked and kept apart.

05SEND

Put the whole track where decisions are made. In the tools you already use.

The security team sees the flag with every clip and log behind it. Your incident tool gets the evidence trail. BI shows alerts and patrol checks across sites. Your warehouse keeps the chain of custody. People review the records and decide.
SEND · fictionalDEMO
CLEAN RECORD

Drone 041 · three visits, a camera confirmation, a fence alert and a patrol check. Example fields for the tools in your build.

ORCHESTRATIONOne record.
Your destinations.
CONNECTED IN YOUR BUILD
  • Security teamThe flag, with every clip and logDELIVERED · 1020 ms
  • Incident toolThe full evidence trailDELIVERED · 1600 ms
  • BIAlerts and patrol checks by siteDELIVERED · 2180 ms
  • WarehouseChain of custody for every recordDELIVERED · 2760 ms

Example deliveries. Routes and fields are agreed in your build. Timings show sequence, not delivery speed.

See Drone 041’s full journey

DEMO · Drone 041 is fictional.

  1. 18:42Radar

    Small, slow contact near the north fence. Track 7731 opened.

  2. 18:44Cameras

    Camera N-12 pointed by the radar track. A drone on video.

  3. 18:45Drone detector

    Broadcast ID logged. Not on the approved list.

  4. 18:46Cameras

    Operator tagged the clip with the broadcast ID.

  5. 18:47Fence sensors

    Alert NF-118 at the north fence.

  6. 18:55Access control

    Patrol badge scanned at the north gate.

  7. 19:07Patrol log

    Fence checked. Alert NF-118 logged against track 7731. Nothing found.

  8. 20:05Drone detector

    The same broadcast ID, back near the north fence.

  9. 21:30Drone detector

    The same broadcast ID, a third time.

  10. 21:30 · estimateRadar

    About 400 metres from the fence, estimated from radar range.

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. Only exact matches, like the same email, join on their own.

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

The morning brief starts with the whole track.
DEMO · Drone 041 is fictional.
“Drone 041 came back three times on Saturday. Every clip and patrol check is attached. Let's agree tonight's patrol plan.”
Want this view of your own customers? Bring one decision. We'll trace its systems with you.Book a Call

WHAT IT CAN DO

What DataGlue can do for you.

Pick your sector. Each question joins systems you already run.

QUESTIONS FOR DEFENCE
156systems and counting.If it can send an event, DataGlue can take it. Webhooks and our API take events from any system. Postgres plugs in directly; other databases and warehouses arrive through a sync you run.All integrations

Example questions. We agree the sources and rules in your build.

Explore all outcomes
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.

Start with one decision. The next, in retention, content or planning, builds on the same model.

Six more build on the same model, from daily operations to AI that sees the whole picture.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 on your team rebuilds this story by hand. Your AI reads the same gaps, only faster. Bring the question you keep 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