AI stack evaluation & curation · AI architecture support · independent benchmarks
Choose your AI stack on evidence.
Get a system you can defend.
Hopperlace helps organizations choose and run the right AI stack — AI models and tools evaluated against your actual tasks, your risk profile, and how well your team can use them. Then we help you put it all together properly.
01 / THE PROBLEM
Hype, defaults, and vendor claims don’t lead to the best AI stacks.
The explosion of AI models and tools has outrun anyone’s ability to evaluate them — so most AI stacks get chosen by chance and marketing. An evaluation asks hard questions: does this work on your tasks, within your risk profile, and can your team use it effectively?
Services
02 / AI STACK EVALUATION & CURATION
One discipline: evaluate, then curate.
Most stacks grew by accretion — tools adopted over the years with no coherent strategy. We look at what you have against what you actually need: does each piece fit, is there something better, and what has to change. No stack yet? We start from your tasks and curate one. Either way, every recommendation rests on evaluation, not vendor claims.
03 / AI ARCHITECTURE SUPPORT
Put together to work as a whole.
Choosing right is half the work. We help with the other half — architecture, integration, and the handoffs between models, tools, and people — so the stack works as a system, not a pile of subscriptions.
04 / METHOD
What every candidate is evaluated against.
i.
Task-specific capability
Performance measured on the work you actually do — not someone else’s benchmark or a leaderboard average.
ii.
Trust & reliability
Consistent behavior under pressure. Systems that know their limits and hand off well — from makers with a record worth trusting.
iii.
User experience
A stack your people will actually use well — clear, low-friction, and honest about what it’s doing.
05 / PRODUCT — IN DEVELOPMENT
Independent benchmarks, as a platform.
We’re building the benchmarks we wished existed: independent, task-grounded evaluations of AI models and tools — run by evaluators with no stake in the outcome. What our practice learns by hand, the platform will make repeatable.
AI models and tools alike. Not just abstract model charts — how the tools and systems built around them perform in real environments.
Task-grounded. Scored against real work, using the same criteria as our evaluations: capability, trust & reliability, user experience.
Independent. No placement fees, no vendor sponsorship of results.
Grounding
06 / GROUNDING
We hold our own work to research standards. The founder’s research on deference-aware evaluation was accepted at ICML’s Technical AI Governance workshop, 2026 — the evaluation method we use here is held to the same rigor.
Yuyu Shen — Founder. Statistically trained data scientist turned product manager, with more than a decade building and evaluating AI systems and products in fintech, employment, supply chain, and consumer banking. CCA-F certified (Certified Claude Architect – Foundational).
Hopperlace is a product company that starts with service. We also built Evidence Synthesis AI, an AI screening product for systematic review and pharmacovigilance.