What should I ask an AI provider in Shenzhen first?

Three questions: which scenario in your industry has it done, exactly how does data access work, and who operates it afterwards. Vague answers here are rarely fixed later. Shenzhen has many AI companies — more than 2,600 above a designated size in 2025 — so choice is plentiful but packaging is common; ask about sites and boundaries before architecture diagrams.

How do I verify a provider's track record?

Public records beat brochures: search tender and award notice platforms by company name for project name, value and date; look for client-site figures in public reporting; and ask for three reference projects you can call, where you ask how data access worked, who set the definitions, and whether it is still running in year two. If none of the three is available, do not conclude anything yet.

Local or out-of-town provider?

Look at three things rather than the registered address: on-site response (how quickly they can reach the plant, and whether response times are written into the contract), whether they can coordinate with system vendors during data access, and whether the long-term operations team is stable. Meet these and location does not affect delivery quality; miss them and proximity will not save the project.

Manufacturing

Choosing an AI solution provider in Shenzhen

Updated 2026-10-17All figures from public sources

The first move when choosing an AI solution provider in Shenzhen is not comparing price but asking a few questions: which scenario in your industry has it delivered, how exactly does data access work, and who operates the system afterwards.

Shenzhen's AI density is among the highest in China — about RMB 220 billion in core AI industry revenue in 2025, more than 2,600 AI enterprises above a designated size and five batches of nearly 300 published "city + AI" scenarios. Choice is an advantage, but so is packaging: ask about sites and boundaries before architecture diagrams.

Who provides AI solutions in Shenzhen

Type	Strengths	What to watch	Best suited to
Platform vendors and cloud providers	Model capability, compute, standardised product lines	Platform and programme-level delivery; may not take a single-plant scenario	Buyers with a platform requirement, adequate budget and in-house technical staff
Industry system integrators	Understand business processes, can connect to existing ERP/MES, used to acceptance procedures	Model and algorithm capability often external; risk of subcontracting	Projects needing deep integration with existing systems
Vertical specialist teams	Close to the site, fast response, flexible scope	Long-term delivery and operations capability needs verification	One-scenario starts where results are needed quickly

In practice these combine: an integrator primes, a specialist builds the scenario, a platform vendor supplies compute or models. For the buyer, what matters is knowing who signs the contract and who answers for delivery.

Five questions for screening providers

Which scenario in my industry, and can you quote client-site numbers? Numbers means measurable ones — downtime, inventory turns, how much earlier an anomaly is caught — not "30% more efficient" with no definition attached.
What exactly is the data-access route? Official API, read-only database account or scheduled export directory: say which works and which does not, in writing.
Who settles and signs off the definitions? The company decides business definitions; the vendor registers and reconciles them. Leave this vague and acceptance becomes an argument.
Who operates it afterwards? Model updates, interface changes, server upkeep — name the party in the contract.
How does it end? How data is exported, accounts returned and the system shut down. Spell it out or you are tied to one vendor.

What public records can verify

Public records beat brochures. Three routes are useful:

Tender and award notice platforms: search by company name for project name, value and date, and see whether the firm primes or subcontracts.
Client-site figures in press coverage: reporting with concrete site numbers is more reliable than product announcements.
Policy documents and scenario lists: Shenzhen's published "city + AI" scenario lists and district programmes help you place your own industry.

Cross-checked, these three give a reasonable picture: what the company has built, at what scale, and whether it has been doing so over time.

Using Shenzhen's policy environment

Shenzhen's industry and information technology bureau issued the "AI + Advanced Manufacturing" action plan for 2026–2027 in February 2026, setting the direction for AI in manufacturing; five batches of nearly 300 "city + AI" scenarios are published for reference; and districts run their own programmes, with Bao'an targeting more than 600 AI enterprises, over 50 deep application projects and more than RMB 55 billion in related industry value by 2026. For buyers, the practical value is orientation, comparable projects and clarity on how a proposal is classified — official documents distinguish application-type from compute-type, which shapes how it is read by the authorities. Those three uses are the practical value for a buyer.

Three warning signals

Clearly templated content. The same article works with any city or company name swapped in; it describes a script, not your site.
Architecture diagrams with no site numbers. The layers look tidy, but the vendor cannot say which table the data comes from.
Pressure to sign before a site visit. Surveying the site is where a workable plan begins; skipping it saves risk, not cost.

On delivery models and operational ownership in detail, see our enterprise AI agent deployment and custom delivery pages. If you are selecting providers in Shenzhen, send us your shortlist and scenario (contact) and we will return a written view: which are worth talking to and what to press on, at no cost.

In one line: choice is Shenzhen's advantage — do not let it become the burden. Run the list through three measures: site cases, data-access plan, operational ownership. The list shortens by itself.

Sources: Shenzhen government online and Shenzhen Special Zone Daily reporting on about RMB 220 billion in core AI industry revenue in 2025, more than 2,600 AI enterprises above a designated size and five batches of nearly 300 "city + AI" scenarios (city people's congress briefing, February 2026, and the Guangdong AI application match-making conference, April 2026); Shenzhen's "AI + Advanced Manufacturing" action plan 2026–2027 (Shenzhen Municipal Bureau of Industry and Information Technology, 9 February 2026); the public targets in Bao'an District's action plan for an AI innovation and application cluster (2025–2026). The provider categories are a summary of public market observation and are not an assessment of any specific company.

FAQ

What should I ask an AI provider in Shenzhen first?: Three questions: which scenario in your industry has it done, exactly how does data access work, and who operates it afterwards. Vague answers here are rarely fixed later. Shenzhen has many AI companies — more than 2,600 above a designated size in 2025 — so choice is plentiful but packaging is common; ask about sites and boundaries before architecture diagrams.
How do I verify a provider's track record?: Public records beat brochures: search tender and award notice platforms by company name for project name, value and date; look for client-site figures in public reporting; and ask for three reference projects you can call, where you ask how data access worked, who set the definitions, and whether it is still running in year two. If none of the three is available, do not conclude anything yet.
What public support is available in Shenzhen?: Several items are usable: Shenzhen's "AI + Advanced Manufacturing" action plan for 2026–2027 issued by the municipal industry and information technology bureau in February 2026 sets the direction for AI in manufacturing; five batches of nearly 300 "city + AI" scenarios are published for reference; and districts run their own programmes (Bao'an, for example, targets more than 600 AI enterprises and over RMB 55 billion in related industry value by 2026). Check current wording on official sites before quoting it in a plan.
Local or out-of-town provider?: Look at three things rather than the registered address: on-site response (how quickly they can reach the plant, and whether response times are written into the contract), whether they can coordinate with system vendors during data access, and whether the long-term operations team is stable. Meet these and location does not affect delivery quality; miss them and proximity will not save the project.