Hard Problems, Researched Solutions
Complex AI Implementation · A Research-Driven Team from Top Universities
Bring AI into real business. Non-standard scenarios, complex data, uncertain technical paths — that's exactly what we're built for.
You Come to Us Because of Problems Like These
Your business processes don't fit any standard SaaS—Off-the-shelf SaaS is designed for generic scenarios. Your business has unique approval flows, data logic, and compliance requirements — forcing standard products onto them is like fitting square pegs in round holes.
Your data is too complex for generic models—Product manuals, technical docs, internal knowledge bases... messy formats, domain-specific jargon. Plugging them straight into an LLM gives terrible results — it requires dedicated knowledge engineering.
You want to use AI but don't know where or if it'll work—You've heard plenty of AI success stories, but back in your own business, you can't tell where Agents make sense, where RAG fits, and where AI shouldn't be used at all.
You've tried other solutions but results fell short—You've attempted solutions before, but accuracy didn't improve, costs didn't drop, and maintenance became a nightmare — you need a team that can rethink from first principles.
How We Work
Understand the Problem
We don't take requirement documents — we work with you to define the problem boundary
We don't start coding on day one. First we take the problem apart with you: what actually needs solving, where the boundaries are, what counts as success. Most projects fail not because the tech is hard, but because no one nailed down what was wanted. We'd rather be slow here and stay aligned.
Research Solutions
Evaluate technical approaches, run small-scale validations — no guessing
Once the direction is set, we evaluate several technical paths and validate them on small-scale data instead of betting on a guess. Where an Agent fits, where RAG fits, where AI shouldn't be used at all — decided by experiment data, surfacing risk early.
Engineer & Deliver
Deliver running systems, not PowerPoints
Research findings have to become a system that runs inside your business. We do real engineering: deployable, maintainable, logged, with fallback mechanisms. What we deliver ships — not a demo deck or a flaky prototype.
Iterate Continuously
Going live is when the real test begins — we stick around to tune it
The real test starts once the system is live. Real data exposes problems you couldn't foresee, and quality needs ongoing tuning. We don't ship and vanish — we stay to watch the data, adjust strategy, and iterate until it hits the bar.
Selected Cases
All cases are anonymized. Data from real deliveries.
Laser Equipment Enterprise Smart Customer Service
Connected 30+ product documents, 24/7 auto-response for procurement and troubleshooting queries.
Overseas Customer Acquisition Automation
End-to-end coverage: target customer identification, personalized outreach, automated touch and lead follow-up.
Click Around and See How It Works
Four interactive product demos, each simplified from a real case. Front-end scripted simulation showing the shape of the capability — not backed by a live model.
1def quick_sort(arr):2if len(arr) <= 1:3return arr4pivot = arr[len(arr) // 2]5left = [x for x in arr if x < pivot]6mid = [x for x in arr if x == pivot]7right = [x for x in arr if x > pivot]8return quick_sort(left) + mid + quick_sort(right)
Click "Start Migration" to watch the source rewrite into the target language…
Who We Are
A research-driven team from top universities. Core members have deep academic research backgrounds and engineering delivery capabilities. Flat collaboration — everyone faces the problem directly. No layers, no information loss.
Where Big Teams Get Stuck
Our Commitment
To ensure every project gets enough research depth and engineering rigor, we actively limit how much we take on:
Let's Talk About Your Hard Problem
Tell us your problem. Let's figure it out.

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