Recorded, never heard.
Call recordings are kept for compliance and listened to only when something has already gone wrong.
Hear what was actually said.
Who said it.
What they promised.
When it went wrong.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
Most of what's said
is never written down.
Calls are recorded and never replayed. Radio chatter disappears. Machines change their sound for weeks before they fail. The evidence was there; nobody was listening.
Promises get lost.
What an adviser committed to on a call rarely makes it into the case notes.
Sounds nobody notices.
A bearing starts to whine long before it seizes, but nobody is there to hear it.
What the AI
can hear.
Hours of audio.
The minutes that matter.
Silence and small talk are cheap to skip. The AI transcribes what's spoken, then looks closely only at the moments that could matter.
Every recordingSense
Calls, radio, voice notes and machine microphones.
Speech detectionRules & code
Silence, hold music and background dropped.
TranscriptionSpecialized model
A speech model turns what's left into text, by speaker.
Key momentsSpecialized model
Promises, complaints and alarms picked out.
ActionsCheck → Operate
Tasks and alerts raised for a person.
A promise on a call
became a task.
Call CR-77310 · 3 June · 04:40. Heard, written down and followed up, so the promise isn't forgotten.
Said. “I'll call you back within 48 hours with a date for your replacement.”
Understood. A callback promise, due by 5 June.
Checked. No callback task existed in the CRM.
Done. Task created and assigned to the adviser's team.
Illustrative example. Call, customer and dates are fictional.
Built to listen
responsibly.
Recordings carry personal data. The AI is designed around that.
-
Personal data redacted.
Card numbers, addresses and health details can be removed from transcripts automatically.
How Check redacts -
Runs in your environment.
Recordings and transcripts never have to leave your boundary.
Security & trust -
Every moment is checkable.
Each finding links to the clip, so anyone can listen for themselves.
How Understand works
Where it runs.
The AI goes to where the work is, from hosted to air-gapped.
A managed environment.
Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement.
Discuss hostedIn the cloud you use.
Deploy dedicated instances in your AWS, Azure, Google or Oracle account. Align the architecture with your cloud standards, operational responsibilities and integration requirements.
Discuss public cloudWithin your enterprise network.
Run it inside your own private cloud or VPC, with network access, storage and controls set around your boundary.
Discuss private cloudOn your infrastructure.
Run software, storage and local inference on your own servers. Plan capacity, integration, maintenance and support around the environment your team operates.
Discuss on-premiseClose to the operation.
Place intelligence near industrial sites and operational equipment, where latency and connectivity shape the design. Match the workload to the local compute available.
Discuss edgeWithout constant connectivity.
Operate local workflows without a continuous internet connection. Define how data is transferred, how updates are applied, and what must remain available offline.
Discuss offlineA physically isolated environment.
Plan for an installation with no external network connection. Local models, dependencies, data transfer and maintenance all become part of the deployment design.
Discuss air-gappedThe other capabilities.
Each one is tested on your own work before you rely on it.
Sense
It sees, hears and reads the work as it happens.
Explore Sense →Understand
From piles of paper to records you can use.
Explore Understand →Check
Every line compared. Only the gaps reach you.
Explore Check →Investigate
Follow the evidence across systems. Find out what happened, and why.
Explore Investigate →Anticipate
Know what comes next, and plan for it.
Explore Anticipate →Operate
The next step, taken. The reason, recorded.
Explore Operate →Bring us the work where wrong is expensive.
Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India