Claude Development Services
End-to-end Anthropic Claude development — from Discovery through production deployment — delivered by a publicly listed engineering company with 11 platform products live on Claude.
The short version
Claude development services from NINtec are the contracted-outcome alternative to in-house experimentation. We are a Claude development agency with one of Asia-Pacific's deepest Anthropic Claude consulting practices, delivering enterprise software where Claude is the engineering core — not a bolt-on. Engagements span Claude API integration, Claude Code rollout, MCP server engineering, RAG architectures, agentic workflows, and prompt-engineering hardening. As a Claude development company, NINtec carries operational obligations clients can audit: NSE and BSE Main Board listing, ISO 27001 information-security controls, and SOC 2 readiness. Our 300+ engineer practice ships against fixed milestones with Claude-driven test generation that delivers 90%+ coverage from sprint one — most engagements move from contract signature to production deployment in weeks rather than quarters.
What's in scope
Claude API Integration
Production integration of Anthropic Claude API into existing systems — streaming, tool use, structured outputs, retries, observability, and cost-control middleware.
Claude Code Enterprise Rollout
Fleet rollout of Claude Code across engineering teams — IDE provisioning, RBAC, context-window optimisation, and developer-velocity baselining.
MCP Server Development
Custom Model Context Protocol servers that expose your tools and data sources to Claude securely — auth, tenancy, audit, and rate limits handled.
RAG Architecture Engineering
Production RAG with chunking strategy, embedding choice, vector store sizing, retrieval evals, and hybrid search — beyond toy demos.
Agentic Workflow Development
Multi-step agents built on the Anthropic Agent SDK with state management, escalation paths, and human-in-the-loop checkpoints for high-consequence decisions.
Migration from OpenAI / Azure OpenAI
End-to-end migration with prompt-port, eval parity, telemetry mapping, and a roll-back plan that stays warm during the transition window.
How NINtec delivers
Every engagement runs on a six-phase delivery method with Claude embedded at every phase — AI Discovery generates requirements in 48–72 hours; Neural Architecture proposes three options with trade-off matrices; Intelligent Development pairs every engineer with Claude as co-pilot; Autonomous Testing yields 90%+ coverage from sprint one.
Read the full AI Engineering MethodHow we compare
| Dimension | Generic agency | Big consulting | NINtec |
|---|---|---|---|
| Claude engineer certification | Ad-hoc, unverified | Generic AI training | 4 internal NINtec Claude Academy tracks |
| Production deployments | 1–3 pilots | Case studies, few production | 11 platforms · 15 countries · live |
| Engagement response | Days–weeks | Weeks via BD layers | Architect on call in 48 hours |
| Listed-company posture | Private | Private partnership | NSE & BSE Main Board (NINSYS) |
| Regulated-industry coverage | Rare | Enterprise-grade | SOC 2 · ISO 27001 · HIPAA · GDPR · PCI DSS |
Where this lands first
300+
Claude-trained engineers
11
Platform products on Claude
6
Delivery phases — Claude in every one
48 hrs
Architect response time
How an engagement runs
Claude Readiness Assessment
2 weeks
Stack audit, use-case prioritisation, ROI model, and a delivery proposal with named engineers and milestones.
Production Build
6–12 weeks
Six-phase delivery method with weekly demos. Claude-generated test suites, automated rollback gates, and a hardening sprint before launch.
Continuous Intelligence
Quarter 2+
Production support with a defined SLA, evaluation harness running on every release, and quarterly architecture reviews.
Ready to talk to a Claude architect?
48-hour response from a senior architect. No BD-layer delay. The Readiness Assessment scopes the work and proposes named engineers.
Claude Development Services — FAQ
What's included in a Claude development services engagement?
A typical engagement covers requirements discovery, architecture and ADRs, prompt engineering, integration code, evaluation harnesses, deployment scripts, observability dashboards, and post-launch hyper-care. Documentation is a deliverable, not a thought; clients receive a runbook for each system.
How is this different from a generalist software consultancy that uses ChatGPT?
Generalist consultancies treat AI as a tooling upgrade — engineers prompt ChatGPT for code, but the engagement still runs on traditional waterfall or Scrum. NINtec inverts the model: Claude is the primary producer (requirements, architecture, code, tests), engineers are reviewers and architects. The output is Claude-native systems, not Claude-prompted code.
Do you work with the Anthropic API directly, or via AWS Bedrock / GCP Vertex / Azure?
All four. The choice is driven by client procurement, data-residency, and IAM constraints — not by our preference. Most regulated-industry clients deploy on Bedrock or Vertex for the IAM/VPC controls; direct Anthropic API is preferred for fastest model access and feature parity.
Can you work fixed-price?
Yes for well-scoped engagements (Readiness Assessment, MCP server build, single-use-case Claude API integration). We use time-and-materials with monthly caps for ambiguous-scope engagements like full agentic-system development, where the spec evolves with the build.
How much does Claude-based development cost?
Engagement size ranges from ~$25K for a focused Readiness Assessment through to multi-year retained programmes. The largest single cost driver is team size; the largest multiplier on ROI is whether NINtec is delivering or augmenting. We share a detailed cost model in the Readiness Assessment proposal.
What happens to the code we pay for?
All deliverable IP is assigned to the client at engagement close. Source is delivered to client repos throughout the build, not at the end. NINtec retains internal-tooling rights only — for example, our prompt-eval framework remains ours, but is licensed to clients for indefinite use.
Do you offer staff augmentation as part of services?
Yes — see /hire-claude-engineers. Many engagements start as a fixed-scope build and move to extended-team augmentation once production is stable, so the engineers who built the system continue to operate it.
Can you help us evaluate whether Claude is the right model for our use case?
Yes. The Claude Readiness Assessment includes a model-selection memo. We do not recommend Claude for use cases where it underperforms — we have ported clients to OpenAI, Llama, and Gemini when the eval data supported it. Our evaluation is honest because our long-term client relationships depend on it.
Adjacent engagements
Hire Claude Engineers
Targeting: hire claude engineers
Claude Implementation Specialists
Targeting: claude implementation specialists
Claude API Integration Services
Targeting: claude api integration
Managed Claude Services
Targeting: managed claude services
Claude AI Engineering Practice
Flagship — 300+ engineers, 11 platform products, 4 academy tracks
Talk to a Claude architect
Senior architect on the call in 48 hours. Walk away with a written assessment whether or not you engage.
Talk to a Claude Architect