Models & agents
Anthropic & Claude
Claude-based assistants, agent workflows, and engineering tools connected to enterprise context and controls.
Technology practices
Platform depth.
One solution perspective.
Focused practices across Anthropic, AWS, Microsoft Azure, Google Cloud, and open ecosystems. Connected by a common approach to architecture, engineering, and accountable delivery.
Where we apply our expertise
Build in the ecosystem
that fits your business.
Cloud, data & AI
Amazon Web Services
AI workloads on AWS, with data integration, cloud foundations, security, and an operating model designed together.
Enterprise AI & integration
Microsoft & Azure
AI solutions across Azure and the Microsoft ecosystem, connected to enterprise identity, knowledge, and business applications.
AI, data & cloud
Google Cloud
Gemini and Google Cloud solution design spanning enterprise knowledge, data workflows, integration, and operations.
Interoperability & choice
Open & mixed ecosystems
Open-source components, alternative models, and existing enterprise systems brought together through explicit interfaces.
The practices work together
Choose components.
Keep the solution coherent.
A model provider, a cloud platform, and an enterprise application can all belong in the same solution.
We make those choices against your workload, existing investment, data requirements, and ability to operate the result.
A Claude-based workflow may use an AWS or Azure environment and connect to existing business systems. An open-source component may support a solution on any suitable platform. Each combination needs explicit integration, evaluation, and ownership.
We select and validate the delivery route for your environment. The ecosystem page describes current vendor relationships.
Beyond the platform choice
The capabilities that
complete the solution.
010203040506
AI & agent engineering
Turn a business task into an AI-assisted workflow with explicit behavior, tools, and acceptance.
Data & knowledge engineering
Make the right information available, understandable, and maintainable throughout the solution.
Platform & cloud engineering
Create the environment in which the workload can be deployed, observed, scaled, and recovered.
Security & assurance
Build access boundaries and assurance into the workflow, its integrations, and its operating model.
Systems & integration engineering
Connect AI to the applications and processes where enterprise work is completed.
Adoption & operations
Equip the receiving team to use, supervise, support, and improve the complete capability.
Your next step
Bring one workflow.
Leave with a decision.
Tell us the work, the systems involved, and what success looks like. A fixed-scope assessment gives you a measured baseline, a build, buy, improve, or stop recommendation, and an investment estimate—before you commit to implementation.