HONG KONG / REGTECH + PHYSICAL AI

Compliance and data infrastructure for the physical AI era.

Dolphio Tech Limited is a Hong Kong RegTech company and physical-AI R&D centre. We build compliance and data infrastructure across tokenisation ecosystems and real-world operational environments.

01 / MOTIONOperational pathsReal work, not staged demos
02 / FORCEPhysical interactionContext-rich capture
03 / PROVENANCEConsented data productsOwnership stays visible
HKSTP incubatee50M+ user ecosystemsHong Kong
EXPLORE THE RESEARCH HELIX
01HKSTPincubatee
02TON · BSC · KAIA · Solanatechnology support
0350M+users across supported ecosystems
04Heterogeneousphysical-AI R&D

ONE CONTINUOUS ARCHITECTURE

Advanced technology does not enter the real world on capability alone.

It needs compliance architecture, trustworthy data and a way to learn across difference.

Dolphio connects RegTech and physical AI through one idea: compliance and data infrastructure for advanced technology entering the real world. Our work spans tokenisation, real-world operational data and embodied intelligence—without treating trust as an afterthought.

A

RegTech & tokenisation

Regulatory understanding translated into practical technology delivery.

B

Heterogeneity in physical AI

Learning and evaluation when data cannot simply be pooled.

C

Real-world operational data

Frontline work captured with context, consent and provenance.

01 / REGTECH & TOKENISATION

Compliance architecture that can be built, not just discussed.

Dolphio combines regulatory understanding, system design and practical delivery for tokenisation projects operating across multiple ecosystems.

Scope / 01

Cross-chain technology support

Technology provider for tokenisation projects on TON, BSC, KAIA and Solana.

Scope / 02

Compliance by design

Translate regulatory considerations into architecture, roles, records and implementation decisions.

Scope / 03

Delivery in context

Build for the operating environment and its constraints rather than forcing a generic stack onto every project.

SUPPORTED ECOSYSTEMS50M+ usersEcosystem reach is not a claim of Dolphio transaction volume.

02 / HETEROGENEITY IN PHYSICAL AI

Robots need more than demonstrations. They need real work.

Valuable physical data is heterogeneous across robot embodiments, sensors, tasks, sites and jurisdictions. Often, it cannot simply be pooled into one central dataset.

RobotsDifferent embodimentsSensorsDifferent signalsTasksDifferent objectivesSitesDifferent conditionsOwnersDifferent jurisdictions
INPUTSites & devicesOwnership and context remain visible
INTERFACEConsented data productsPurpose, access and jurisdiction defined
OUTCOMEResearch & evaluationCollaboration and model improvement

The objective is learning, evaluation and collaboration while respecting data ownership, consent and jurisdictional boundaries—not indiscriminate raw-data centralisation.

03 / REAL-WORLD DATA FOR HUMANOID TRAINING

The physical realities that laboratory demonstrations and ordinary internet video cannot capture.

We collect operationally valuable physical data for humanoid and embodied-AI training, with methods shaped by the setting, the task and the people involved.

Close-up of a caregiver wearing a discreet wrist sensor while gently supporting another adult's hand, with no faces visibleSCENARIO / 01

CAREGIVER CENTRES

Care routines are physical, contextual and deeply human.

Frontline care routines and physical assistance offer meaningful task events: movement, transfers, object handling and sequences of work.

  • Non-staged operational routines
  • Consent, dignity and sensitive-care restrictions
  • Capture only where appropriate and consented
Building operations professional seen from behind inspecting a service corridor with a tabletSCENARIO / 02

PROPERTY MANAGEMENT

Real operations include routes, exceptions and judgement.

Inspections, maintenance, deliveries and building operations reveal how people move through spaces, interact with objects and respond when conditions change.

  • Operational routes and task sequences
  • Object interactions and exception handling
  • Structured task and event records
CAPTURE METHODS
  • Wearables
  • Motion & force sensors
  • Cameras where appropriate and consented
  • Structured task & event records

04 / RESPONSIBLE DATA & GOVERNANCE

Trust is an architectural decision.

These are design principles for how we shape collection and collaboration—not a legal certification or a universal guarantee.

01

Consent-first collection

Define who is involved, what is captured and why before collection begins.

02

Purpose limitation

Use clear purposes and role-based access rather than unrestricted reuse.

03

Redaction where appropriate

Apply on-device or early-stage redaction when the setting calls for it.

04

Provenance & quality

Document origin, collection context, transformations and quality checks.

05

Privacy by design

Respect sensitive-care restrictions and avoid unnecessary identification.

06

Jurisdiction-aware delivery

Shape processing and delivery around applicable boundaries and obligations.

05 / RESEARCH COLLABORATION

Learning when physical data cannot be pooled.

Dolphio collaborates with The Hong Kong Polytechnic University on heterogeneous embodied-intelligence research.

The research asks how robots and embodied-AI systems can learn from data that differs across embodiments, sensors, tasks, sites and jurisdictions—while preserving ownership, consent and boundaries.

JOINT LABORATORYIn preparationThe joint laboratory is currently in preparation. It is not described here as formally launched or funded.

AN OPEN INVITATION

If your teams perform work that robots should learn, let’s explore a responsible data collaboration.

FOR MODEL & ROBOTICS TEAMS

Humanoid and embodied-AI companies

Explore operationally rich training data grounded in real tasks, physical interactions and documented context.

For humanoid companies
FOR OPERATIONS & INSTITUTIONS

Data-producing organisations

If your daily operations generate valuable physical data, explore a collaboration shaped around your people, purposes and constraints.

For data-producing organisations

START WITH THE REAL PROBLEM

Bring us the work.
We’ll bring the architecture.

Tokenisation, heterogeneous physical AI or real-world operational data—start a focused conversation with Dolphio.

ricky.wong@dolphio.xyz
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THE DOLPHIO APPROACH

LOCAL COLLABORATION BRIEF

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