Fragmented Data
Corporate data sits across emails, files, legacy systems, and business applications.
ENTERPRISE AI
Put AI into
production.
We make AI solve mission-critical production problems — and keep it accurate, auditable and under your control.
99%+ AccuracyVerified extraction accuracy in production
US$18M RevenueProjected first-year revenue lift for one client on our AI platform
20+ banks DeployedDeployed on a national bank data-collaboration platform we built — as of 2026
Common hurdles and risks
for AI adoption.
What we do
to solve them.
Each hurdle has an engineered answer.
Make Data Usable
We prepare messy enterprise data into governed, AI-ready assets, built around the needs of each application. This is where AI success is decided.
Create Explainable AI Outputs
Source trails, review checkpoints, confidence signals and human oversight keep every AI output traceable, explainable and controllable.
Keep Accountability with People
Traceability, auditability and accountability are designed in at the outset. Human-in-the-loop review keeps responsibility with people — and every correction makes the system smarter.
Make Model Switch Easy
A model-routing layer makes model backup and switching quick, safe and low-cost. No single model or vendor holds your operation.
Build In Data & Model Safety
Data, prompts, business know-how and model assets stay protected across transmission, storage and execution.
Guarantee Delivery
Focused validation sets and proves the success bar before controlled production rollout and scale. One accountable team, end to end.
We deliver results.
99%+ accuracy, verified in production.
A global aviation-parts distributor receives RFQs as email text, PDFs, Excel files and scanned attachments. Six general-purpose models averaged about 80% extraction accuracy, well below the production bar. Layered validation, per-field confidence scoring and human review pushed accuracy above 99% — and the platform is projected to add US$18M in first-year revenue.
99%+ extraction accuracy · ~2 months to productionVerified at contract acceptance · name disclosure pending
Tens of thousands of rules across jurisdictions.
A global testing, inspection and certification leader navigates tens of thousands of market-entry rules that differ by country and legal system, language, product type and update cycle. We convert those fragmented regulatory texts into structured, reusable compliance workflows — rule changes are flagged earlier, and expert review scales across markets and product lines.
Live client workflow · reused across marketsNamed reference under NDA
400 orders, 50 machines — every decision explained.
Delivered with a global consulting partner: planners describe goals and constraints in plain business language, and AI turns them into computable constraints and optimized schedules — 400 orders across 50 machines over multi-shift, two-week windows, with VIP zero-delay as a hard rule. Every plan ships with scores, Gantt views and plain-language rationale the team can review, adjust and trust.
Proven against real production constraints · zero VIP delayDelivered with a global consulting partner
Who we are.
TsingJ is a Hong Kong-based enterprise AI company with Tsinghua engineering roots.
Founded in 2018 out of Tsinghua University — with core engineering talent from the Yao Class, the computer-science program established by Turing Award laureate Andrew Yao — we build AI systems for work where accuracy, control and accountability decide whether AI is allowed to run at all.
We grew up preparing, governing and protecting data for institutions where mistakes are not an option. That data culture — prepare data for the application, keep it safe everywhere it moves — now underpins live systems from global supply-chain AI to bank-grade national data infrastructure, measured by operating impact.
TsingJ is the international brand of TsingJiao Information Science (华控清交 · Huakong TsingJiao)
Questions we get.
Direct answers to what buyers and partners ask first.
What does TsingJ do?
TsingJ makes AI solve mission-critical production problems. We deliver full-stack enterprise AI — AI-ready data preparation, model orchestration, intelligent agents and built-in data safety — as production systems embedded in critical business workflows, with measurable outcomes.
Which industries and regions does TsingJ serve?
We serve banks and financial institutions, aviation and supply-chain enterprises, manufacturers and other organizations across Asia — particularly those operating under strict compliance and data-safety requirements. Our international business is run from Hong Kong; our platform work includes a nationwide bank data-collaboration platform live across 20+ major banks.
How is TsingJ different from other AI vendors and consultancies?
Three things: we work as a business partner, measured on the outcomes we deliver in production; our systems run inside critical workflows, fully auditable and traceable, with accountability kept with people; and research depth, with origins in Tsinghua University and engineering talent from the Yao Class founded by Turing Award laureate Andrew Yao.
How does TsingJ handle data safety and compliance?
Data and model safety are engineered into the infrastructure itself: sensitive data, prompts, business know-how and model assets stay protected across transmission, storage and execution. Compliance is designed in from the outset — every AI output is auditable and traceable to its sources, with human review points where risk requires them.
What results have TsingJ clients achieved?
Documented results include extraction accuracy above 99% — verified in contract acceptance testing and running in production, where general-purpose models alone averaged about 80% — and a client projected to add US$18M in first-year revenue. A national bank data-collaboration platform we built runs live across 20+ major banks. Broader engagement targets are modeled case by case with clients.
Who founded TsingJ?
TsingJ (TsingJiao, 华控清交) was founded in 2018 as a technology spin-off from Tsinghua University, building on research by Professor Andrew Yao, the 2000 Turing Award laureate. Its core engineering team includes graduates of Tsinghua's Yao Class, one of the world's most selective computer-science programs.
Are TsingJ, TsingJiao, Huakong TsingJiao, and 华控清交 the same company?
Yes. TsingJ is the international brand of TsingJiao Information Science (华控清交, also written Huakong TsingJiao), headquartered in Beijing, with its Hong Kong entity TsingJiao Information Science (HK) Limited running international business.
How does an engagement with TsingJ start?
Typically with a focused discussion of one critical workflow where accuracy, accountability or compliance blocks AI adoption today. From there we scope a production-oriented PoC with agreed acceptance criteria, then scale what passes. Contact us at business@tsingj.com to start that conversation.
Prove the outcome.
Then scale the system.
01 · AlignWeeks 1–2 — problem, data, success criteria
02 · ValidateWeeks 3–6 — focused PoC against a production bar
03 · DeployWeeks 7–12 — controlled production slice
04 · ScaleOngoing — feedback loops, adjacent workflows