Technology.
Starts with the work. Uses the intelligence the work needs. Proves it before it’s trusted.
What we build.
Models, agents, products, APIs, data and evaluations, each tested on your own work.
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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.
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Products
Ready-made products for recurring jobs, from documents and contracts to sustainability data.
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APIs
Model, agent and data APIs that plug into the systems you already run.
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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
What it can do.
The everyday jobs our AI does inside your operation, from seeing the work to acting on it.
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Sense
It sees, hears and reads the work as it happens.
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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
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-gappedBring 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.
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