Ship Claude applications grounded in your documents, tickets and internal tools rather than generic model knowledge.


Preparing experience
Claude Development
Claude (Anthropic) is one of WLC's six core technologies. We build production copilots, knowledge systems and agentic workflows on Claude, served through Python FastAPI backends with evaluation and human review designed in from the first release.
What this type of engagement typically covers.
- Claude API & tools
- RAG & agents
- Knowledge systems
- Evaluation loops
Built for buyers who need clarity, speed and accountability.
Three principles that shape how we scope, build and deliver every engagement.
Use Claude tool calling for multi-step workflows that hit your APIs and approval chains.
Build evaluation and human-in-the-loop review in from the first release.
Serve Claude features through FastAPI with observability that product teams can actually use.
Route across Claude and OpenAI when a second model improves quality, latency or cost.
Give non-technical stakeholders a clear picture of what the model will and will not do.

A clean path from idea to launch.
Discovery
Architecture
Sprint build
QA
Launch support
Common questions before starting a project.
Yes—Claude is one of our six core technologies, alongside React.js, Node.js, Python, React Native and OpenAI.
RAG over internal knowledge and agentic workflows that call your APIs are the two most common Claude builds—not only a chat window.
Yes—we often route tasks to the model that fits best, or keep a fallback path if one provider is degraded.
Python with FastAPI is the default serving layer for our Claude and OpenAI application work.
Tell us what you are building — we will map a practical route.
Share the outcome, timeline and constraints you are working with. We will respond with useful next questions and a clear way to start.



