Manual entry.
Hours of copying values from documents into systems, with errors along the way.
Stop typing
documents in.
Choose a template.
Upload.
Review and export.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
The data is there.
It's stuck in documents.
Invoices, tax forms, contracts and records arrive as PDFs, scans and spreadsheets. Someone retypes them, or the data never reaches a system at all.
Every layout different.
Each supplier and authority formats the same information its own way.
No way to check.
Without a confidence score, every extracted value has to be trusted or rechecked.
How Structurify
works.
Choose a template, upload, then review and export.
Built on tested
components.
Structurify is a product: document repair, text and layout reading, table recovery and schema checks, assembled into one workflow and exposed as a product.
UploadSense
PDFs, images, office files and scans.
ReadSpecialized model
Text, layout and tables recovered.
ExtractSpecialized model
Fields filled against the template.
CheckRules & code
Formats, totals and schema validated.
ReviewHuman
Low-confidence values go to a person.
Thirteen fields automatic.
One checked by a person.
Extraction · invoice INV-8841. Extraction does the typing. People check what it isn't sure about.
Template. Invoice template, 14 fields.
Extracted. 13 fields with confidence above the review threshold.
Low confidence. VAT number partly unreadable on the scan: 0.61.
Reviewed. A person corrected the VAT number; the record exported as JSON.
Illustrative example. Document and values are fictional.
Built for
real teams.
Enterprise controls from the first document.
-
Enterprise security.
SSO, role-based access, audit logs and encryption.
Security & trust -
Try it today.
Structurify runs as a service, with evaluation credits to start.
structurify.ai -
Inside larger systems.
The same components power document work across the AI.
Documents
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-gappedPut them to work.
Each one is tested on your own work before you rely on it.
Models
Specialist models, evaluated on your data and run inside your boundary.
Explore Models →Agents
Agents that run on their own and hand over to a person at the decisions that matter.
Explore Agents →Products
Ready-made products for recurring jobs, from documents and contracts to sustainability data.
Explore Products →APIs
Model, agent and data APIs that plug into the systems you already run.
Explore APIs →Data
Data collected, extracted and governed, with every value traced to its source.
Explore Data →Evaluations
Tests built from your own cases, rerun every time a model changes, so you always know how well it does your work.
Explore Evaluations →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