Anthropic Claude Development

AI Technologies

Anthropic Claude AI Development

We build applications with Anthropic's Claude models, available through the Claude API, Amazon Bedrock and Google Cloud Vertex AI. Claude is well suited to long documents, careful reasoning, writing and agentic tasks with tools, and we use it for assistants, agents and document analysis.

We often compare Claude with other models on your real tasks and pick the best fit, or combine models. Claude also works natively with the Model Context Protocol (MCP), which helps connect it to your tools.

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What we offer

Claude assistantsInternal and customer-facing assistants.
Agents and tool useClaude agents connected to your systems, including via MCP.
Long-document analysisContracts, reports and large knowledge bases.
Cloud deploymentVia Amazon Bedrock or Google Vertex AI for enterprise needs.
EvaluationSide-by-side testing against other models.

Common use cases

Contract and policy review
Research and report writing
Customer support agents
Developer productivity tools

Technology

Claude API
Amazon Bedrock
Google Vertex AI
MCP
Python
TypeScript

Why choose Claude

Strong reasoning and writingfor analysis, summaries and customer-facing text
Long contextfor working with large documents, contracts and codebases
Tool use and agentsClaude can call your APIs to complete multi-step tasks
Enterprise optionsavailable through Anthropic's API, Amazon Bedrock and Google Cloud Vertex AI

Why work with Webtech Evolution

10+ years of delivery272+ projects for 118+ clients in 12+ countries since 2014.
One team, end to enddesign, front end, back end, mobile, QA and DevOps under one roof, so nothing gets lost between vendors.
Clear estimatesa written scope, timeline and price before work starts, and demos throughout the build.
You own everythingcode, designs and documentation are handed over in full and covered by an NDA.
Working hours that overlap with yoursMonday to Friday, 10:00–19:00 IST, with extended hours available for clients in the USA, Canada and New Zealand.

Our process

How we deliver

Discovery

agree the goal, users, data and how success will be measured.

Prototype

a working version on real examples within the first weeks.

Build and integrate

connect to your systems, add security, testing and monitoring.

Pilot

launch to a small group, measure results and improve.

Scale and support

roll out widely, with ongoing monitoring and updates.

Distinct Solutions

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FAQ

Frequently asked questions

Through Anthropic's own API and app, and through cloud platforms including Amazon Bedrock and Google Cloud Vertex AI.

Claude handles long inputs and is often chosen for summarising, comparing and analysing lengthy documents. We test it on your documents to confirm.

Yes, through tool use and MCP servers that give it controlled access to your systems.

Support assistants, document analysis, research and writing tools, coding assistants, and AI agents that use your systems through tools and MCP servers.

Under Anthropic's commercial terms, API data is not used to train models by default. We also offer deployment through AWS or Google Cloud if you need data to stay in those platforms.

Both are excellent. We test your real tasks on several models and choose based on quality, speed and cost, and can use more than one.