Every system sends its own signal
An operator switches between access, camera and door records.
DataGlue for Security & site-operations leads
I need the records around the alert.
A badge denial, door opening and camera event are separate signals. DataGlue joins the recorded site pattern so your team can review it with context.
A dedicated team builds it with you. Start with one decision.
Access controlCamera eventsDoor sensorsVisitor records
DataGlue
Show the formula.
Which events. In what order.
Example tagDenied entry, door opened
To your CRM, ads, BI, email or chosen LLM.
Connections and destinations agreed in the build.
Sound familiar?
You could review the alert. You just can’t see the nearby steps.
The sequence is hard to check
A door opening means something different before or after a badge denial.
Visitor exits go missing
A check-in alone does not prove whether someone is still on site.
An alert can look like a verdict
A pattern needs staff review before anyone decides what happened.
A joined picture
Put the site sequence in front of the reviewer.
Name a defensive pattern you need to inspect. DataGlue joins events by site, door or visit ID and shows the formula. The tag helps an operator review evidence; it does not make an access decision.
Systems usually joined
- Access control
- Camera events
- Door sensors
- Visitor records
- Number-plate readers
- Incident records
Example 01
- Access control: badge denied
- Door sensor: door opened
- Camera: doorway movement recorded
In this order, within 1 minute, at the same door; staff review the records.
Events → tagDenied entry, door opened
Example 02
- Visitor records: visit checked in
- Visitor records: no exit recorded by closing
For the same visit ID, after closing; staff check whether an exit record is missing.
Events → tagVisitor departure needs review
Example 03
- Access control: permitted entry
- Door sensor: door held open
In this order, at the same door, beyond the site’s agreed hold-open limit; staff review.
Events → tagDoor hold-open pattern needs review
Example rules, not customer results. We agree source access, match keys, time windows and tag destinations in your build.
How we work
One question. Five steps with your team.
The same build process, shaped around your decision and its sources.
Book a call
Bring one question.
Talk it through with the people who would build it. We find where its data lives today.
Working session
A working session to map your data.
We map every source behind the decision, then show you what it looks like glued together. You get the scope and plan before work begins.
Build together
We connect the pieces.
A dedicated team finds the signals, glues them into one living model and matches records on evidence. Your systems stay where they are.
Go live
Your first result, ready to use.
We take the first result live in your Glue Console. Ask in plain words, see what each step read, and open the counts to their rows.
Keep building
Your team keeps the Console.
Then the next outcome builds on the same model. The rollout runs in phases, each measured against the outcome.
What you get
Useful context. In the tools you use.
Events in order
Check the sequence around a recorded alert.
Site context
Join the same door, boundary or visitor record.
Source-backed review
Keep each signal tied to its original record.
Clear alert rules
Agree the window and threshold with site staff.
Human review
Give operators context for their decision.
Your incident tools
Route tags through the agreed review workflow.
See the working
Check the approach before the call.
Read the published outcome examples, source details and comparisons behind this approach. They explain the method; they are not measured results for your role.
Trusted by
Fair questions
What you might be wondering.
Couldn’t I just use our access-control alerts?
Yes, for patterns contained in access control. DataGlue fits when review also needs camera events, door sensors or visitor records. We join the defensive sequence and keep the source of each signal visible.
Does a tag prove someone did something wrong?
No. It shows that recorded events met an agreed rule. Missing records, time differences and local context still need review. Staff decide what happened and what action is appropriate.
Do we need a data team or clean data first?
No. Bring one question and the names of the systems behind it. A dedicated team maps the sources, joins the records and builds the result with you. Your team sets ownership, privacy and quality rules.
What does it cost, and what happens on the call?
The first call checks the outcome, the sources and the fit. No system access is needed for that conversation. If it fits, we map the data in a working session. The build is a separate engagement, scoped and priced before work begins; there is no public rate card.
Your next step
Bring the question you keep coming back to.
We’ll talk through the outcome, where its data lives and whether a build fits. No system access needed for the first call.
Book a Call
Free first call. Scope and price agreed before a build begins.
Is it a fit?
An honest fit check.
A good fit
This may suit you if…
- You need context around a defensive site alert.
- Site, door and visit IDs support the joins.
- A named operator reviews the evidence and next action.
Probably not a fit
This may not suit you if…
- You want a tag to make automatic access or enforcement decisions.
- You expect camera movement to prove a person’s identity.
- You need a replacement safety or emergency-response system.