Applications and agents
Software people can use, connected to your existing systems.
What you receive
- Web interfaces and APIs
- Retrieval and multi-agent workflows
- Business-system integrations
Custom AI, built on your systems.
We build apps, AI agents and prediction models, from the screen your team uses to the cloud it runs on. Someone on your team learns to own it.
Apps, agents and analytics.
For teams building an internal tool or adding AI to their data.
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Internal apps
Screens and APIs on top of your data.
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AI agents
Assistants that follow your business rules.
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Predictive analytics
Spot who is buying less and test what-if scenarios.
How we build your AI project.
We work with your IT team on the software and infrastructure, and with users on whether the results are useful.
What we can build with you.
A custom system, or specialist engineers working with your team. We scope it in clear, separate parts.
Data and machine learning
Clean data, analysis tools and models that answer specific business questions.
What you receive
- Pipelines and data validation
- Prediction and segmentation
- Scenario analysis and model checks
Cloud and operations
Deployment in your environment, with access controls and technical handover.
What you receive
- Cloud architecture and identity
- Containers, CI/CD and monitoring
- Code, tests and operating guides
The building blocks we use.
Every project mixes a few of these. We pick what fits your team, your data and your cloud.
Assistants that finish tasks in the software your team already uses.
Agents
Look things up and act
MCP connectors
Work inside your tools
Models
Any provider your company allows
Anthropic API
OpenAI API
AI Foundry
Vertex AI
OpenRouter
Your documents and systems, joined up with sources you can check.
Search your files
Answers with a source link
Custom APIs
Systems that talk to each other
Data pipelines
Clean data, on schedule
PostgreSQL
Python
Node.js
MCP
Dashboards and models that answer one business question at a time.
Dashboards
Weekly numbers on one screen
Machine learning
Spot who is buying less
Forecasts
Test a change first
React
Vue
Open WebUI- Python
- PostgreSQL
Built to pass your IT and security review.
Your cloud
Your own account
Role-based access
People see only their data
Logs and tests
Trace every answer
Azure
Google Cloud
Entra ID
Releases your IT team can repeat and trust.
Infrastructure as code
Rebuild any environment
CI/CD
Tests and deploys on every change
Containers
The same app everywhere
Terraform
Bicep
Kubernetes
Azure DevOps
Container Apps
What a project looks like.
Our current client project and how we build it. Then the same approach elsewhere.
Client project
From sales history to customer priorities.
A sales assistant we're building with a manufacturer's IT team, in their own cloud.
Data
One private copy
Insights
Tested code does the math
Assistant
Explains the results
The sales team asks a question and gets an answer it can check.
- Azure
- AI Foundry
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Insights for your next step
How to Build AI Projects Securely at Work
Work with IT on approved access and environments.
Stop Prompting, Start Designing: 5 Layers to Get Consistent Results from AI
Structure context, instructions and tools for consistent results.
How Do You Measure AI Productivity at Work?
Connect technical delivery to business usefulness.
FAQ
Not quite the right fit?
We work in two other ways too.
What needs to work in your environment?
Bring a use case, technical blocker or delivery gap.