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OFFICIAL PARTNERS

Recognized by Claude to drive enterprise AI

Calda is Certified in Anthropic’s Claude Partner Network, with engineers who have passed Anthropic’s proctored Claude certification exams.

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WHAT IS CLAUDE PARTNER NETWORK

Claude
Partner Network

The Claude Partner Network is Anthropic’s program for firms that help enterprises plan, build, and deploy solutions with Claude. Calda is Certified in the network, and our engineers have passed Anthropic’s Claude certification exams. Our role is to turn that capability into solutions that power your tomorrow.

DELIVERABLES

What can we deliver

01

Claude models,adapted to your business

We configure Claude models around your business specifics, and make it work for you.

02

Secure Infrastructure

We deploy Claude via the Claude API, Amazon Bedrock, Google Cloud Vertex AI, or Microsoft Foundry, with enterprise-grade security and governance.

03

Grounded in your data

We connect Claude to your documents, systems, and business context, including through MCP, so outputs reflect how your company actually operates.

04

Integrated into your tools

We embed Claude into the software and workflows your teams already use, so AI becomes part of the work rather than another standalone tool.

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We lead the new way apps are developed. No magic just industry-leading tech stack and AI-first dev approach.

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SECURITY

We build solutions compliant with industry security standards.

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The best time to put AI to work was yesterday. The second best is now.
Why use Claude for enterprise AI?

The right model depends on your use case, data requirements, and existing infrastructure. Claude is used across workflows such as coding, document analysis, customer support, and AI agents. We help you test it against your own scenarios, so the decision rests on results rather than assumptions.

What does Calda being Certified in the Claude Partner Network actually mean for us?

It means you’re working with a firm whose engineers have been tested by Anthropic, through proctored, identity-verified exams, on building and deploying Claude. We bridge the gap between access to capable models and actually putting them to work securely inside your systems, data, and operations.

Do we need to know what AI use case we want before talking to you?

No. Most companies know AI matters before they know exactly where it should go. We can start by looking at your workflows, bottlenecks, and business priorities to identify where Claude can create meaningful value.

How does a project start?

With a conversation about your workflows, bottlenecks, and priorities. From there we agree on a focused use case, build a working implementation, and take it into production together with your team.

Can Claude work with our existing systems and data?

Yes. We connect Claude to the tools, databases, documents, APIs, and workflows your business already relies on, including through MCP, without requiring you to replace your existing tools.

How quickly can we get something into production?

Focused use cases can often move from discovery to working implementation within weeks. The timeline depends on the complexity of the workflow, integrations, data readiness, security requirements, and internal approvals.

Is our data used to train Claude models?

No. When deployed through Anthropic’s commercial offerings, including the Claude API, your business data is not used to train Claude models by default. The exceptions are feedback you explicitly submit or training you explicitly opt into.

Can we use Claude without sending sensitive data to a public AI tool?

Yes. Depending on your requirements, we can architect solutions using Anthropic’s commercial offerings, access controls, and other infrastructure patterns appropriate to your environment.

How do you make AI reliable enough for enterprise use?

We ground models in your business data, test them against real scenarios and historical examples, and introduce guardrails and human approval where needed. The goal is predictable performance within a clearly defined workflow.