Data and AI: AI that runs on your data, in your own cloud
Generative AI, data platforms and cloud agents on AWS, Azure or Google Cloud. We start with one job, count the result and hand it over.
What Data and AI gives your business
- Unified data platform
One data platform for all your data
Your data brought together on your cloud, organized and ready to use.
- AI knowledge assistant
An AI assistant that answers from your documents
Ask in plain words. Answers come from your documents and data, with the source.
- Forecasting
Forecast demand and spot problems early
Plan stock, staff and spend ahead of time.
- AI agents
Hand routine work to AI agents
Agents carry out repeat tasks, and a person approves every change.
Also built on request
- Data lake
- Data warehouse
- Recommendation engine
- Intelligent document processing
- Predictive models
How it is built on each cloud
- Your dataDocuments, databases and apps
- Prepare and storeAmazon S3 and AWS GlueAzure Data Lake Storage and Microsoft FabricCloud Storage and Dataflow
- RetrieveAmazon Bedrock Knowledge BasesAzure AI SearchAgent Search
- ModelAmazon BedrockMicrosoft FoundryGemini Enterprise Agent Platform
- GuardrailsAmazon Bedrock GuardrailsAzure AI Content SafetyModel Armor
- A person approvesYour ticket or chat tool
- Your app or agentRuns in your own account
- Tested and watchedAmazon Bedrock EvaluationsMicrosoft Foundry evaluationsGen AI evals
- AI cost, in viewAWS Cost ExplorerAzure Cost ManagementCloud Billing reports
- Access you controlAWS IAM rolesMicrosoft Entra rolesGoogle Cloud IAM roles
From one job to something you own
Pick one job
One use case with an owner and a way to count it. We read your data first.
You receiveThe job, how it is counted and what your data holds
You sign the jobPilot on your data
A small pilot, read-only at first.
You receiveResults on your own data
You review the pilotProve it
Finished work, counted against a baseline.
You receiveA before-and-after count
You accept the numbersHand it over
You own the result, its code and its runbook.
You receiveThe code, the test set and the runbook
You close the project
Questions
Which cloud and which model?
The cloud your data already lives on: Amazon Bedrock on AWS, Microsoft Foundry on Azure or the Gemini Enterprise Agent Platform, formerly Vertex AI, on Google Cloud. We pick the model with you, by fit, cost and your data rules.
Where does our data go?
It stays in your own accounts. The model runs on your cloud’s AI service, and we work through roles you create and can revoke.
How do you know it works?
Before go-live we build a test set from your real questions or cases and score the results against it. We run it again after every change.
What will it cost to run?
Your cloud bills AI by use, to your own account. In the pilot we estimate it at three levels of use, quiet, typical and busy, and the FinOps work then follows it every month.