Physical AI Accelerator Applications Open Shenzhen, China

CREATE THE FUTURE INTELLIGENT MATTER

B&A takes high-agency founders from an irresistible desire to solve problems in the world around us, to a seed-investable concept or working prototype — built in Shenzhen, where engineering excellence meets a can-do attitude, forging the fastest iteration cycle on the planet. Next cohort starts July 1.

10 Entrepreneur Slots
Jul 1 Cohort Starts
SZX Shenzhen-Based

Two forces are
converging.

The next generation of great companies won't be software companies or hardware companies — they will be learning machines. Devices that perceive, models that reason, products that act. B&A exists to build those companies, in the city that makes it possible.

AI is becoming real-world infrastructure

The next great AI companies will not live only in chat windows. They will be built into devices, workflows, and machines that perceive, decide, and act.

The enabling stack has arrived

Model capability, edge compute, sensors, and connected hardware have finally caught up with each other. Physical AI is no longer theoretical — it is buildable now.

The winners will learn faster than they ship

In this category, every deployment is a data advantage. The companies that win will be the ones that turn real-world usage into better models, better products, and faster iteration.

Shenzhen should be where
the company starts.

Most founders treat Shenzhen as a place to manufacture. We see it differently. We believe the best AI-native physical product companies should be conceived, prototyped, and proven here — where the enabling stack, the supply chain, and the iteration speed exist nowhere else on Earth.

Not just built in Shenzhen.
Built from Shenzhen.

Being in Shenzhen isn't about cheaper manufacturing. It's about compressing the distance between idea and working product to almost nothing. When your factory floor is a bike ride from your workbench, you iterate in days, not quarters. B&A founders don't outsource to Shenzhen — they build from inside it.

Where intelligence, design,
and manufacturing meet early.

The next generation of great products won't separate AI, industrial design, and production into different phases. They'll co-evolve. B&A puts founders where all three disciplines overlap from day one — so the intelligence is shaped by what's buildable, and the hardware is shaped by what's learnable.

A global platform
for company building.

Shenzhen's hardware ecosystem is unmatched — but it has historically been hard to access for international founders. B&A is the bridge: an English-speaking, globally-networked program embedded in the heart of the world's hardware capital. We bring the founders; Shenzhen brings the capability.

Shenzhen should not only be where products are made. It should be where the next generation of AI-native product companies begins.

Concrete support.
No vague promises.

B&A helps founders build ambitious AI-native physical product companies — not just prototypes. We work across product thesis, technical validation, design, manufacturing, and market proof to help teams move from concept to a real company path.

We sharpen the company thesis

We help founders define the wedge, the use case, and the moat. The goal is not a niche device with limited upside, but a product company with the potential to grow into a category.

We turn concepts into honest products

We help teams test technical risk, manufacturability, performance, cost, and user experience early — before expensive decisions lock in. The aim is not a polished demo alone, but a product direction grounded in reality.

We build design, brand, and engineering together

For physical products, brand is not an afterthought. Product identity, industrial design, usability, and engineering constraints need to be developed together from the start.

We pressure-test go-to-market

We help founders validate demand, distribution, and competitiveness. And because B&A is rooted in Shenzhen and China, teams can test not only how fast a product can be built, but how well it stands up in one of the world's most demanding product markets.

We back founders building foundational
layers of the physical AI era.

B&A is for teams building beyond incremental hardware and narrow point solutions. We look for products, systems, and enabling layers that can become central to how people live, work, and operate — across consumer, robotics, and industrial applications.

Foundational, not peripheral

We back companies that can become core to a workflow, environment, or category — not accessories, add-ons, or isolated features around someone else's platform.

A wedge with room to grow

The first use case can be focused, but it must lead somewhere bigger. We want sharp entry points with the potential to expand into large, durable businesses.

Advantage that compounds

The strongest AI-native companies improve through real-world deployment. Data, usage, integration, and operational feedback should make the product better and the company harder to replace.

We do not back side quests.

Built around an incumbent

If the product only matters because another platform already won, it is probably too dependent to become foundational.

A wedge without expansion

We like focused starting points. We do not like businesses that end where they begin.

A breakthrough dependency

If the company needs a major scientific or technical leap before it can prove value, it is too early for this program.

Services in product clothing

Custom engineering, integration, and project work can be valuable businesses. They are not the kind of scalable product companies we are here to back.

No compounding advantage

We look for products and systems that get stronger with use, data, deployment, or workflow ownership. If that engine is missing, the long-term upside usually is too.

First Cohort
JULY 1

We are selecting 10 entrepreneurs for Cohort 01 — founders with a bold idea or a hunger to build one of ours.

10
Entrepreneur slots
Cohort 01
SZX
Shenzhen-based
Guangdong Province
INTL
International cohort
Global applicants welcome

Some of the most important companies are not found — they're formed.

B&A publishes a curated set of Request-for-Proposal briefs: carefully framed company concepts for exceptional builders who want to start with a sharper thesis.

Target profileME/EE/controls teams with automation, robotics, or commissioning experience
TRL entry → exit3–4 → 5–6
MarketHigh-mix discrete manufacturing — electronics, light industrial, automotive sub-assemblies

Objective

Build software-defined microfactory cells for rapid deployment, copy-exactly repeatability, and high-mix assembly — with measurable productivity uplift and evidence for a first paid pilot.

Eligible

  • Modular assembly, test, packaging, or finishing cells
  • Copy-exactly software for cell deployment
  • Remote monitoring and OT-IT integration

Out of scope

  • Pure software MES/SCADA with no hardware component
  • Consumer gadgets

Deliverables

  • Working cell prototype with specification sheet
  • Measurement dossier (throughput, defect rate, changeover time)
  • Deployment and replication plan
  • Cost model with path to target unit economics

Evaluation criteria

Physical performance30%
Deployability & repeatability25%
Economics20%
Team15%
Strategic fit10%

Funding gates

0Selection
1Design freeze + PRD
2Measured performance validated
3Pilot LOI signed
Register interest →
Target profilePower engineers with embedded systems and communications experience
TRL entry → exit3–4 → 5–7
MarketDistribution grid operators, DSOs, and DER aggregators — global

Objective

Build grid-edge devices — dynamic line rating, feeder measurement, power-flow control — to unlock distribution capacity and accelerate DER interconnection. Deliver a credible device and deployment plan that increases grid utilisation or cuts connection delays.

Eligible

  • Sensing hardware with edge analytics
  • Actuation and power-flow control devices
  • Measurement and verification systems for grid assets

Out of scope

  • Pure marketplace software
  • Devices with no grid-operator integration plan

Deliverables

  • Prototype device with performance characterisation
  • Validation dossier (accuracy, latency, stability)
  • Cybersecurity and communications model
  • Utility pilot package with measurable KPIs

Evaluation criteria

Grid impact35%
Safety & compliance25%
Deployment realism20%
Economics10%
Team & partners10%

Funding gates

1Lab validation complete
2Test results (accuracy + stability)
3Utility pilot plan signed
Register interest →
Target profileThermal systems engineers with controls and safety expertise
TRL entry → exit3–4 → 6–7
MarketFood & beverage, paper, chemicals, and light industry — process heat decarbonisation

Objective

Build hardware replacing fossil process heat — high-temp heat pumps and/or thermal storage for industrial customers — with measurable, replicable performance and credible safety and economics.

Eligible

  • High-temp heat pumps including novel working fluids
  • Thermal battery and storage systems
  • Hybrid boiler and steam integration hardware

Out of scope

  • Pure consulting engagements
  • Pure software energy dashboards

Deliverables

  • Bench prototype or skid with COP measurement
  • Reliability and safety dossier
  • Industrial integration plan with M&V framework
  • Cost model with path to commercial viability

Evaluation criteria

Thermodynamic performance30%
Integration realism25%
Safety20%
Economics15%
Commercial pathway10%

Funding gates

1Materials and instrumentation ready
2Performance targets met (temp + efficiency)
3Industrial pilot LOI + safety review complete
Register interest →
Target profileRobotics teams with strong manipulation, perception, and mechatronics; deep operational empathy for warehouse KPIs
TRL entry → exit3–4 → 6
Market3PLs, e-commerce fulfilment, parcel hubs, grocers, returns processing — 102,900 logistics service robot units sold in 2024

Objective

Recruit teams that can prove a "hard-task" robotics capability with measurable performance and a realistic deployment playbook for high-friction warehouse tasks involving unstructured manipulation and messy interfaces.

Eligible

  • Trailer/container unloading with mixed cartons
  • Depalletising/palletising mixed SKUs
  • Returns sorting and triage (variable packaging, damaged items)
  • Collaborative systems where humans handle edge cases

Out of scope

  • Pure simulation
  • Autonomy research without hardware deployment

Deliverables

  • Robot prototype with bounded task and defined operating envelope (aisle width, lighting, clutter tolerance)
  • Benchmark report: dataset, test protocol, success rates, cycle times, failure taxonomy
  • Safety and compliance plan (warehouse integration, collaborative operation, emergency stop)
  • RaaS deployment model: monthly price hypothesis, utilisation assumptions, maintenance plan

Evaluation criteria

Operational KPI impact35%
Robustness on messy items25%
RaaS viability & serviceability20%
Team10%
Pilot partner readiness10%

Funding gates

1Prototyping + safety engineering support
2Benchmark thresholds met (video + logs + data)
3Pilot launch readiness with site partner
Register interest →
Target profileIndustrial hardware builders with experience in harsh environments (high temp, dust, vibration), process control, and legacy plant integration
TRL entry → exit3–4 → 5–7
Market1,882.6 Mt crude steel produced in 2024; ~2.6 Gt CO₂/year from iron & steel — BF-BOF retrofit, EAF optimisation, DRI integration

Objective

Recruit startups capable of shipping industrial-grade hardware that can survive steel plant conditions and deliver measurable CO₂, energy, or yield improvements — with a credible integration and safety plan.

Eligible

  • Sensors and metrology: real-time composition, temperature, off-gas, slag monitoring, scrap classification
  • Control retrofits: burner control, oxygen optimisation, predictive maintenance
  • Enablement systems: measurement tools for credible low-carbon product claims

Out of scope

  • Pure reporting software without novel measurement capability

Deliverables

  • Prototype sensor or retrofit module with industrial ruggedisation assumptions stated
  • Validation plan mapping to plant constraints (access windows, calibration, maintenance)
  • Quantified improvement hypothesis: % energy reduction, % yield increase, or improved emissions measurement confidence
  • Deployment safety plan and integration approach with existing plant control systems

Evaluation criteria

Magnitude & credibility of impact30%
Harsh-environment engineering25%
Integration feasibility20%
Commercial realism15%
Team10%

Funding gates

1Materials + test rig access support
2Validation results demonstrating measurement accuracy or process improvement
3Plant pilot scheduling or LOI
Register interest →
Target profileSilicon/module engineers and systems software builders with inference optimisation, packaging, and hardware productisation experience
TRL entry → exit3–4 → 6
MarketSemiconductor market $627 bn in 2024; industrial inspection, robotics/warehouse autonomy, grid asset monitoring, offline inference

Objective

Recruit startups making edge inference hardware that is economically and operationally deployable in the physical world — lowering TCO through improvements in power, latency, reliability, and deployment simplicity.

Eligible

  • Edge inference accelerator modules (PCIe, MXM-like, or rugged embedded)
  • Boards plus full runtime stack enabling push-button deployment
  • Power/thermal innovations for sustained inference in industrial environments

Out of scope

  • Pure model research without hardware deployment

Deliverables

  • Prototype compute module or dev kit with thermal and power envelope defined
  • Benchmark suite: latency, throughput, energy per inference on at least two real physical-world workloads
  • Deployment stack: container/runtime packaging, OTA update plan, observability, and rollback strategy
  • Commercial dossier: target customer, unit economics, and proof-of-value pilot structure

Evaluation criteria

TCO improvement evidence35%
Software deployment maturity25%
Hardware reliability20%
Market focus10%
Team10%

Funding gates

1Engineering support + benchmarking infra access
2Benchmark improvements meeting stated targets
3Pilot LOI and deployment plan
Register interest →

Help shape the next generation of physical AI founders.

B&A is building a hands-on network of engineers, operators, founders, investors, and industry specialists who want to contribute practically — not ceremonially.

Supply chain Embedded systems Product design AI / ML Manufacturing Industrial design Fundraising Go-to-market Regulatory Growth
Join as an Expert

Support a new international platform
for hardware and physical AI in Shenzhen.

B&A partners with organizations that want to support the growth of global founder talent and next-generation hardware ventures in Shenzhen. Partners gain visibility into an emerging founder pipeline and contribute to Shenzhen's international innovation profile.

Event Sponsors
Ecosystem Partners
Technical Partners
Manufacturing & Prototyping
University & Research
Institutional Partners
Discuss Partnership
BUILD
WITH US IN SHENZHEN