Enterprise AI That Runs Inside
Your Own AWS Account.
Anthropic builds Claude, one of the enterprise-grade models behind the production AI we put into client environments. We deploy it with the governance, security, and integration that production use demands, rather than handing your team a general-purpose tool and hoping it changes something.
A License for Every Employee Is Not an AI Strategy.
Most organizations are getting AI by buying seats to a general-purpose assistant. That delivers personal productivity. It does not change how the business runs, and it puts your data into systems you do not control.
The alternative is Claude running inside your own AWS account, on your data, wired into the systems your business already uses. Same model quality. Your perimeter, your governance, your audit trail. That is the difference between an AI tool and AI built into the enterprise.
Four Engineering Disciplines, Not One Integration
Putting a model into production is not a single skill. These are the four areas of Claude expertise our engineers build against, and each one maps to a solution we deliver.
How the model connects to your data
Model selection, deployment topology, and the architecture that connects Claude to a governed data foundation. This is the layer that decides whether everything above it is trustworthy.
Build an AI-Ready Foundation →Getting the right context in front of the model
Retrieval, grounding, and context design so answers come from your documents and your policies rather than from a general impression of how businesses usually work.
Unlock Enterprise Knowledge →Work that carries across systems
Agents that take multi-step work end to end, with a person in the loop where it matters and a full audit trail throughout. Autonomy is a design decision, not a default.
Automate Intelligent Work →AI inside the development lifecycle
Claude configured to your engineering standards rather than left to each developer, from requirements through review, with senior engineers deciding what ships.
Engineer at AI Speed →We Will Tell You When Claude Is Not the Right Answer
We know the tradeoffs between Anthropic, OpenAI, AWS Bedrock, and Azure OpenAI, and we recommend based on your use case. A partnership is not a reason to put the wrong model in front of your problem.
In practice most enterprise work lands on Claude running through Amazon Bedrock, because it keeps the model inside the AWS account you already govern. That is a conclusion we reach from the requirements, not a starting position.
Anthropic Is the Model. AWS Is Where It Runs.
Our AWS Premier Tier Services partnership is what funds the assessment and offsets project cost. Anthropic is what the production AI is built on. Neither one on its own gets you to a governed system in your own environment.
AWS Partnership
Premier Tier Services Partner. Funding, escalation paths, and the programs that pay for assessment work.
Generative AI
Where we apply it, how we decide what is worth building, and what production actually requires.
All Partnerships
AWS, Anthropic, Databricks, IBM, HashiCorp, and the technologies we bring in as engagements call for them.
Find Out Which AI Work Is Worth Doing First
COBRA™ looks at what you are running today and tells you which AI use cases justify the investment, whether your data is ready to support them, and what the business case looks like with real numbers behind it.