JueLun Services helps startups and scale-ups turn large language models into production systems that hold up — strategy sequenced by return, the right harness around each model, and token economics that keep the bill honest.
Write to hello@juelun.vc
We work on the parts of the stack that decide whether a model ships value or burns cash. No dashboards you won't open, no theatre.
We map where AI compounds in your business — and where it doesn't. You leave with a deployment plan sequenced by return and downside, not by what's trending.
The scaffolding around a model decides its output. We select and tune the harness — retrieval, tools, orchestration, evaluation — that fits your workload and your constraints.
Every token is cost and latency. We restructure prompts, context and caching to cut spend and tighten response times — without cutting the quality your users feel.
Perceive first, travel far. We diligence the workload before we deploy, and we hand back a system your team can run without us.
Understand the workload, the data and the constraints before proposing anything.
Select models, harnesses and evaluation criteria against real acceptance thresholds.
Ship a measured pilot with instrumentation and cost tracking from day one.
Tune tokens, latency and cost against how the system is actually being used.
Hand over a documented system your team can operate, measure and extend.
A first conversation is a technical one. Bring the problem — we'll tell you honestly whether AI is the right instrument for it.