Unbounded tools.
Agents given broad access can call things nobody intended, with arguments nobody checked.
Work that runs on its own,
and stops for a person.
Multi-step work, within limits. It plans. It checks every step. It asks before it acts.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
The agents we build.
Agents that do the work and stop for a person, inside limits you set and can check.
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Checking
Invoices against purchase orders, claims against contracts, reports against the rules.
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Investigation
Traces a break, a complaint or an incident across your systems, and writes up the evidence.
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Watching
Monitors feeds, regulations, contracts and deadlines, and raises only what matters.
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Follow-through
Chases missing documents, approvals and replies until the job is done.
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Groundwork
Assembles packs, drafts reports and fills in forms from your own records.
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Routing
Routes cases, updates records and hands each one to the right team.
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Custom agents
We design, build and run agents for the work your team does today, inside your boundary.
Autonomy is easy. Accountability isn’t.
An agent that can take actions across finance, operations and production systems is only useful if every action is bounded, checkable and stoppable. Most aren’t.
No brake.
Consequential steps like payments and postings happen without a person seeing them first.
No trail.
When something goes wrong, nobody can say exactly what the agent did, or why.
How our agents work.
Every agent works within the same controls, whatever the job.
Most of an agent is guardrail.
Reasoning plans the work. Everything around it, from type checks and permissions to approvals and logs, is plain, testable code.
GoalUnderstand
A task with a clear outcome.
PlanReasoning
Steps written before anything runs.
ChecksRules & code
Types, permissions and limits on every call.
ApprovalsHuman
Consequential steps wait for a person.
TrailRules & code
Every step recorded.
The agent did the legwork.
A person signed.
Every run leaves a record of what it found, what it checked, what it stopped and who approved the rest. Here, a £4,500 reconciliation break: explained, drafted, approved by a person.
Tools used. 4 read, 1 draft, 1 blocked write.
Retries. 1, logged.
Could it have paid anyone? No. send_payment is never available to this agent.
Illustrative example. Accounts, payees and people are fictional.
Built for regulated work.
An agent should be easier to audit than the manual process it replaces.
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Permissions per agent.
Each agent gets exactly the tools its job needs, and nothing else.
How Operate works -
Replayable runs.
Any run can be replayed step by step from its trail.
Security & trust -
Works in your systems.
Agents act through the connectors you approve.
APIs
Where it runs.
Agents run where the work and its systems are, from hosted to air-gapped, acting only through the connectors you approve.
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.
Agents run on the rest of what we build. Each of these is built on the same tested foundations.
Models
Specialist models, evaluated on your data and run inside your boundary.
Explore Models →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