SheetSN-02
TitleAbout
Issue2026.08
ScopeBusiness · design · simulation · hardware

Superheroes. Geniuses. Just People Whose Strengths and Personalities Happen to Complement Each Other.

Industry · design · engineering · research

Sunnta is a new idea built on mature technology. We read industrial demand through a commercial and strategic lens, build our engineering method on the design philosophy of environment affordance, and ground it all in over a decade of front-line experience in GIS and special-environment simulation.

00Sunnta

About Sunnta and Environment Affordance™

Sunnta is physical intelligence infrastructure — making the physical world intelligible to machines and intelligent machines reliably deployable in the real world. Instead of bending hardware to fit a simulator, we let physical modeling follow the environment, the scene and the machine's own embodiment — turning the deployment site into a digital proving ground you can train on, validate against and score.

Our flagship product, Environment Intelligence, is made of two core modules and a deployment loop: Reconstruction (turning a real scene into a reusable physical digital scene) and Affordance Validation (annotating affordances and running adversarial validation against your platform specs), with deployment feedback flowing continuously back into the environment model.

Core mechanism · Environment Affordance™ Environment Intelligence is Sunnta's flagship product; Environment Affordance™ is the first core mechanism within it to mature — deliverable on its own. Validation starts from the robot's point of view and a specific task, inside a reusable, physically accurate scene. We re-annotate your real site as the Affordance Map against your platform specs, prioritize the scenes most likely to mislead perception systems, and issue an auditable, reproducible verdict before deployment begins.

Unlike a general-purpose simulator, Environment Affordance™ doesn't sell you a tool or an engine — it acts as an independent verifier and delivers the verdict itself, generated directly from your own site data and run privately on local machines, fully compliant with domestic regulations. Your site data, annotation results and test reports stay on your servers and inside your network from start to finish. Read more in Product · Environment Affordance™.

01Members

Members

Stephen
Co-founder

Stephen has worked his way through industries that rarely meet: NAURA, NBA China, agricultural technology and urban regeneration. At Sunnta he is building physical intelligence infrastructure with the team — the work of giving robots physical intuition.

Away from work, Stephen dives and hikes — at home underwater or on a trail.

Manda
Co-founder

Part strategist, part design philosopher, Manda's path has run through strategy consulting — digital transformation in industrial manufacturing and consumer AIoT — as well as National Geographic, cognitive neuroscience. She originated the concept of Environment Affordance and the engineering method through which it's realized: the idea of an environment that becomes legible to a robot, something it can read and act on.

She stargazes and seeks out ancient sites — habits that feed the same instinct for the long view. Across enough centuries, boom and bust are simply ordinary, and there is very little humanity cannot eventually make peace with.

Dylan
Principal Engineer

Dylan has spent more than ten years on the front line of GIS, geospatial work and simulation of specialized industrial environments. He led a National Key R&D Programme project under the 14th Five-Year Plan, and knows the delivery pace and the technical debt of specialized settings inside out. He is the technical backbone of the team.

Yu Xiao
Scientist MSc, Tsinghua University · PhD, University of Tokyo
Professor, Xidian University
Formerly Zhejiang Lab
Deputy Director, Research Centre for Intelligent Chips and Devices

Yu Xiao's research in integrated circuits and intelligent chips is world-class. During his doctorate at the University of Tokyo he fabricated the thinnest germanium-based transistor reported at the time, and took it to IEDM, the leading conference in chip devices, where it won Best Student Paper that year. At Xidian University and Zhejiang Lab he led development of compute-in-memory and ferroelectric chips.

As Sunnta's deployments scale, they will keep pushing towards the physical limits of compute and sensing hardware. That is where Yu Xiao comes in: professional judgement on technical direction, with his work in compute-in-memory and frontier sensing chips as the key reference for our hardware path.

Yan Fulong
Advisor Associate Professor, Beijing University of Posts and Telecommunications

Yan Fulong has spent close to ten years researching optical switching networks. Private deployments in mining and energy are pushing data throughput and internal network bandwidth towards the limits of conventional electrical switching — and his work is our reference for where cloud-edge coordination goes next.

02Contact

Contact

WeChat

Whether you're exploring a partnership or just curious where physical intelligence is headed — we'd love to start with a real site. Tell us about your industry, the kind of site you look after, and whatever questions or observations you're carrying. We'll listen, share how we'd read it, and where it makes sense, put together a sample report shaped around your case.