Custom Claude app & API development
Claude development services for the enterprise — Claude-based assistants and copilots, Messages API and tool use, long-context reasoning and RAG, hardened for production.
Quick answerClaude development services build custom applications on Anthropic’s Claude models — assistants and copilots, tool-use and agentic workflows, long-context reasoning over large documents and codebases, retrieval-augmented answering, evaluation and production hardening. This service owns the build intent; connecting Claude into your systems is covered by our Claude & Anthropic Integration service.
What Claude & Anthropic development covers
Claude assistants & copilots
Steerable, policy-bound assistants for customer, employee and developer workflows.
Messages API & tool use
Streaming, structured output, and typed tools that let Claude act in your systems.
Long-context & RAG
Reasoning over large documents, tickets and codebases, grounded with citations.
Agentic workflows
Reasoning loops, memory and orchestration with human-in-the-loop checkpoints.
Evaluation & safety
A versioned evaluation set, jailbreak and prompt-injection defence, and output review.
Deployment choice
Anthropic API, Amazon Bedrock or Google Vertex AI — portable application layer.
When Claude is the right choice
| Requirement | Claude strength | How we use it |
|---|---|---|
| Reason over very large documents | Long context windows | Contract, policy and codebase analysis without heavy chunking |
| Follow detailed policies precisely | Careful instruction-following | Compliance-bound drafting and classification |
| Take safe actions in systems | Robust tool use | Agentic workflows with approvals and tracing |
| Steerable, predictable tone | Output steerability | Customer-facing assistants with brand and safety constraints |
From prompt to production
Prototype
A working Claude assistant on real data and tools in a few weeks.
Harden
Evaluation harness, safety testing, error handling, security review.
Integrate
Into your product or platform, with identity and audit.
Release
Environments, CI/CD, observability and a supported go-live.
Tune
Quality, latency and cost improved against real usage.
Claude development, delivered for the enterprise
Model benchmarking
We benchmark Claude against alternatives on your actual use case before committing.
Evaluation-first
Every assistant ships with a versioned evaluation harness.
Same team, integration too
The engineers who build the assistant can also connect it into your systems.
Deployment flexibility
Anthropic API, Bedrock or Vertex AI to fit cloud and procurement.
Responsible AI
Guardrails, human-in-the-loop and audit logging as standard.
You own it
Your code and configuration, in your repositories and environment.
- AWS
- DataStax
- Salesforce
- Snowflake
Also available for Claude
Connect Claude into your enterprise stack with Claude & Anthropic Integration Services, or add dedicated Claude engineers with Hire Claude & Anthropic Developers.
Insights on building with foundation models
LLM in a Box: generative AI inside the Trusted Research Environment
A pre-configured private AI appliance that brings LLMs to sensitive data without it leaving the environment.
Read More Case studyGoverned AI coding assistants with Research Gateway & Amazon Bedrock
Secure, self-service access to AI coding assistants with institutional control over data and usage cost.
Read More BlogAgentic AI vs Generative AI: key differences and enterprise use cases
Where generative AI ends and agentic AI begins — and which enterprise problems each is built for.
Read MoreClaude & Anthropic Development Services: frequently asked questions
Content last reviewed: September 2026
Scaling this across the enterprise?
Our Enterprise AI Services practice brings generative AI, agents and LLMs to production at scale — with the governance, platform and operating model to keep them reliable, compliant and cost-controlled.
Building on Claude or the Anthropic API?
Tell us what you want the assistant to do and we will come back with a proof-of-concept plan and timeline.
Talk to an AI specialist
Tell us where you are on your AI journey — a use case, a proof of concept, or a platform decision — and an AI consultant will come back with next steps and a rough shape for the engagement.