A hundred layouts.
Every supplier, carrier and authority formats the same information differently.
Read the page like an expert.
Every field.
Where it sits on the page.
Whether it's right.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
The data you need
is stuck on a page.
Bills of lading, certificates, permits, invoices and safety data sheets arrive as scans, photos and PDFs in a hundred layouts. Someone retypes them, or they're never read at all.
Scans, stamps and handwriting.
The parts that matter most are often the hardest to read: the handwritten correction, the stamp, the signature.
Nobody knows how accurate it is.
Extraction tools report confidence, not whether they were actually right.
What the AI
can read.
The simplest reader
that gets it right.
Most of a document can be read by rules and small models. The expensive steps run only on the parts that need them, and nothing is trusted until it is checked.
Every pageSense
Scans, photos, PDFs and emails, straightened and cleaned.
Text & layoutSpecialized model
Text, tables and fields located on the page.
Rules & checksRules & code
Check digits, formats, totals and cross-field rules.
Hard partsSpecialized model
Handwriting, stamps and damaged scans read closely.
To a personCheck → Operate
Only fields that disagree or fail a check.
Two weights on one page.
The correction matches.
Bill of lading HLSU 5521907 · gross weight. Read, checked, and passed to a person where the page disagrees with itself.
Typed. Gross weight 18,420 kg, in the printed weight box.
Handwritten. 18,240 kg written over it and initialled.
Other documents. The packing list totals 18,240 kg.
Rule. Weights on the bill of lading and the packing list must agree.
Illustrative example. Shipment, documents and values are fictional.
Built for documents
that matter.
A value you can't trace back to the page isn't evidence.
-
Every value keeps its place.
Each field links back to the exact spot on the page it came from.
How Understand works -
Measured, not assumed.
Accuracy is scored against hand-checked documents, field by field.
How Check works -
Documents stay inside.
Runs in your environment, including fully air-gapped.
Security & trust
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