GEN AI
Generative AI assistants
Custom chat and agent systems grounded in your data. SSO, audit trails, and guardrails included.
From zero to use case in days
Get AI into operations.
Ship outcomes, not pilots.
TentenAI turns enterprise strategy into production-grade AI — generative systems, computer vision, and predictive analytics — delivering measurable results in weeks, not quarters.
Trusted across regulated industriesSOC 2 & GDPR aligned6 industry verticals delivered
Deployed across
Financial Services
Healthcare
Manufacturing
Retail & E-commerce
Logistics
Automotive
Financial Services
Healthcare
Manufacturing
Retail & E-commerce
Logistics
Automotive
Financial Services
Healthcare
Manufacturing
Retail & E-commerce
Logistics
Automotive
2026 Report
AI
Enterprise readiness
New
The TentenAI Enterprise AI Readiness Report
Benchmarks and adoption patterns from six regulated industries — what separates operational AI wins from stalled pilots.
Why TentenAI
TentenAI makes enterprise AI simple.
Strategy, engineering, and deployment under one roof — you skip vendor handoffs and hit production faster.
Ship a use case in days
Proof of concept to production in weeks. We compress the traditional enterprise timeline without cutting corners on security or scale.
Deploy across regions and languages
Multilingual, multi-region rollouts with governance baked in — we've shipped across 13 languages and six industry verticals.
Scale from pilot to platform
Architectures that graduate from a single team's POC to a company-wide platform without a rewrite.
Our approach
From strategy to production in a single flow.
A proven delivery loop that takes you from ambiguity to measurable outcomes — the same four steps we run on every engagement.
01
ASSESSReadiness audit
Map data, systems, and use cases. Identify where AI moves the needle fastest and what's blocking it today.
02
DESIGNCustom roadmap
Prioritize use cases, model architectures, and the integration surface. Approve a business case with real ROI numbers.
03
BUILDShip the prototype
A working system in weeks, integrated with your stack. Measured against agreed KPIs from the first commit.
04
SCALEOperate & grow
Roll out across teams, harden monitoring and governance, and queue the next use case with evidence in hand.
Capabilities
Explore all servicesDeploy AI capabilities that work out of the box.
Full-stack AI services — from advisory work to production systems running quietly in the background of your operations.
Document intelligence
Extract, classify, and route contracts, claims, and forms in minutes instead of days.
VISION
Computer vision QA
Real-time defect detection and quality-control automation on factory lines and warehouse belts.
Predictive analytics
Demand forecasting, risk models, and customer-behavior prediction trained on your own operational data.
NLP & sentiment
Surface signal from tickets, transcripts, and reviews — routed to the teams that can act on it.
PLATFORM
ML platform engineering
Training pipelines, feature stores, evaluation harnesses — the infrastructure that keeps production models honest.
Client stories
Trusted across regulated industries.
But don't just take it from us.
Financial ServicesClient stories
“TentenAI's document-intelligence pipeline took our commercial-loan review from 4 days to under an hour — without losing the audit trail our regulator expects.”
Loan review cycle
96% faster
HealthcareClient stories
“We went from a stuck RFP to a HIPAA-aligned triage assistant in the ER in seven weeks. Their team ran the whole stack, from model eval to rollout.”
Time to production
7 weeks
ManufacturingClient stories
“Computer-vision QA on two production lines caught the defect pattern our inspectors had been missing for months. It paid itself back in the first quarter.”
Defect escape rate
−62%
Industry insights
Fresh reads on AI in the enterprise.
The latest from our team — market shifts, deployment patterns, and field notes from real AI projects.
AmazonAmazon 砸 330 億美元投資 Anthropic：Bill Ackman 為什麼說這是 AI 時代最聰明的財務工程
By Jensen LeeApr 30, 2026
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ClaudeClaude 生態系完整攻略：從 Chat 到 Cowork 到 Claude Code，三層架構讓 AI 真正幫你做事
By Christina MakApr 30, 2026
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OpenAIOpenAI 聯發科高通立訊 AI Agent 手機 2028 量產：郭明錤爆料背後的硬體突圍困局
By Harris ChangApr 30, 2026
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GEOClaude 當 SEO 策略長：6 週從零到 10,000 用戶、AI 引擎主動引用的完整 AEO 實戰
By Maria NingApr 30, 2026
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Google雲端三巨頭財報出爐：Google Cloud 增速 63% 稱霸！AI 燒錢大戰才剛開始
By Erik (EKC)Apr 30, 2026
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NewsAI 裁員陷阱：UPenn 與波士頓大學論文證明，理性 CEO 為什麼停不下這場自我毀滅的軍備競賽
By TentenApr 29, 2026
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Kimi輾壓對手！Kimi K2.6 實測曝光：AI 寫程式省下 88% 成本，Reddit 網友全嗨翻
By Ewan MakApr 29, 2026
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DeepseekDeepSeek V4 完整解析：1.6T 參數登頂開源王座
By Ewan MakApr 27, 2026
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SpaceXSpaceX IPO 750 億美元定價倒數：上市前夕的自相矛盾：Space AI 是一場華麗的煙火嗎？
By Erik (EKC)Apr 25, 2026
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CloudflareCloudflare AI Agent 電子郵件服務正式公測：讓 Agent 用信箱當非同步通訊頻道
By Ewan MakApr 22, 2026
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Gemini用 Gemini 做 GEO 真的能上 Google AI Overview? 一個 30 天對照測試的完整驗證
By Erik (EKC)Apr 22, 2026
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GEOReddit 行銷策略完整指南：在 AI 搜尋時代讓品牌被 LLM 引用
By Maria NingApr 22, 2026
Read articleOutcomes
See the outcomesMeasurable impact, fast.
What enterprise teams typically see after deploying their first TentenAI use case into production.
Time-to-production for a first AI use case
weeks
Traditional consulting32
In-house build24
TentenAI engagement6
40%
Average cost reduction in target workflows
10×
Faster decisions with AI-assisted analysis
24/7
Automated operations with human-in-the-loop
<6w
From kickoff to first production use case
Enterprise grade
Enterprise-grade from day one.
Built for scale, secured for trust, and designed to meet the demands your legal and risk teams already have on their desks.
Security
SOC 2 & GDPR aligned
Controls, audit trails, and privacy-by-design across every deployment. Your data stays yours.
Reliability
Production SLAs
Monitoring, alerting, and rollback strategies for the systems your business actually depends on.
Governance
Responsible AI
Model documentation, evaluation, and policy controls your legal and risk teams can sign off on.
Get AI into your operations.
Stop stalling in pilots. Get a working AI system in production — and a partner who knows how to keep it there.