Components.
Single jobs done well: document repair, reading, table recovery, matching, checks.
Ready-made,
for the common jobs.
Start further ahead. Tested components. Reusable workflows. Built around your work.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
Ready to use, or the start of yours.
Some run as products you can use today. Others are the workflows behind our engagements.
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Structurify
Documents turned into structured, review-ready data, with confidence scores and human review.
View product -
SafetyDataSheetAPI
Scanned or digital safety data sheets turned into data your systems can use, across all 16 sections.
Visit the site -
Clarify
Ask your enterprise data questions in everyday language, and get answers within each person’s access, with sources.
View product -
GRID
Shows what AI coding tools changed in your software, how each change was checked, and what was missed.
View product -
Axiom
Turns contracts and legal documents into searchable data, for faster reviews, early warning of risks and audit-ready reports.
View solution -
Sustainize
Brings your sustainability data together, from raw figures to board-ready reports, with every number traceable.
View solution -
C-Centric
Footfall, sales, incident and tenant signals in one view, for mall operators and large-format retail.
Ask about C-Centric
Built once. Used again.
A product is a reusable workflow built from tested components. Each engagement begins from what the products already do, so the new engineering goes into what is genuinely specific to the work.
Products.
Components assembled into a workflow that has been run before.
Solutions.
Products arranged around one client’s problem, which is what the client buys.
One set of components. Many workflows.
The component that recovers a table from a scanned invoice is the same one that reads an ESG return. Each product is assembled from shared parts, so an improvement to one part reaches every workflow that uses it.
Components
Document repair, reading, table recovery, schema checks, matching, question to query, access policy, detection, classification and event correlation.
Solutions
Document operations, industrial data, financial control, legal intelligence, compliance, engineering evidence and wildlife conservation.
Where it runs.
Every product runs where you choose, from hosted to air-gapped, inside your boundary.
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.
Products are built from the rest of what we build. Each is built on the same tested foundations.
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 →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