# Tenten AI

> Asia's forward-deployed AI engineering team (FDE): our engineers embed with enterprise teams to ship AI copilots, agentic workflows, RAG knowledge systems and MVPs into production in weeks, not quarters. The site supports English, Traditional and Simplified Chinese, Japanese, Korean, French, Spanish, Portuguese and Arabic; article-level translations are listed only when authored. Technology partners include NVIDIA, Anthropic, OpenAI, Microsoft and Qualcomm.

Key facts: first AI use case typically live in 6–8 weeks; deployments run inside the client's VPC (data never leaves their environment); every engagement includes a transparent delivery workspace; compliance-first delivery for regulated industries.

## Services

- [All services](https://tentenai.com/en/services): Four ready for live use AI capabilities
- [Forward Deployed Marketing (FDM)](https://tentenai.com/en/services/fdm): What is FDM? An embedded (not outsourced) agency model: marketing engineers deploy inside your team to build self-sustaining AI marketing systems in your own stack, with full knowledge transfer in 90 days. Includes the FDM-vs-traditional-consultant comparison, the 90-day arc, the ROI model and a readiness assessment.
- [AI Copilot rollout](https://tentenai.com/en/services/ai-copilot): An assistant employees use at work
- [Agentic workflows](https://tentenai.com/en/services/agentic-workflow): Cut review cycles from days to minutes
- [RAG knowledge systems](https://tentenai.com/en/services/rag-knowledge): Traceable retrieval over enterprise knowledge
- [MVP development](https://tentenai.com/en/services/mvp-development): Agile iteration that ships in weeks
- [Delivery workspace](https://tentenai.com/en/services/delivery-workspace): The transparent delivery board built into every engagement

## Industry solutions

- [Financial services](https://tentenai.com/en/solutions/finance): Faster decisions regulators can follow
- [Healthcare](https://tentenai.com/en/solutions/healthcare): AI with clinicians in the loop
- [Manufacturing](https://tentenai.com/en/solutions/manufacturing): Visual inspection live in weeks
- [Retail & commerce](https://tentenai.com/en/solutions/retail): From merchandising to a customer copilot
- [Logistics](https://tentenai.com/en/solutions/logistics): Smarter planning, steadier delivery
- [Automotive](https://tentenai.com/en/solutions/automotive): Aftersales, dealer and connected-car services

## Customer outcomes

- [Customer stories](https://tentenai.com/en/work): Delivery examples, methods and evidence status
- [Delivery craft & methodology](https://tentenai.com/en/work): How we build: Focused Workshop → Build Sprint → Ship & Scale; case studies with technical stack and delivery metrics

## Resources

- [FDE methodology](https://tentenai.com/en/methodology): How forward-deployed delivery works
- [Engagement & pricing](https://tentenai.com/en/engagement): Three engagement models: Discovery Workshop, MVP Sprint, Embedded FDE Team
- [Security & compliance](https://tentenai.com/en/security): Enterprise-grade, compliance-first delivery; data stays in your VPC
- [Insights & field notes](https://tentenai.com/en/insights): The latest perspectives on enterprise AI
- [Contact](https://tentenai.com/en/contact): Book a 30-minute consult or a 90-minute scoping workshop

## Learning & Tools

- [Practical AI Academy](https://tentenai.com/en/learn): Practice-first AI curriculum with actionable labs covering AI Marketing and Agent Building
- [AI Leaderboard](https://tentenai.com/en/ai-leaderboard): Independent evaluation and benchmark rankings across leading enterprise LLMs
- [AI Career Roadmap](https://tentenai.com/en/ai-career-roadmap): 10 modern AI engineering career tracks, compensation benchmarks, and required skills
- [ROI calculator](https://tentenai.com/en/calculator): Estimate annual savings for your first AI use case. No email required

## Whitepapers & deep research

- [Resources hub](https://tentenai.com/en/resources): 23 practitioner whitepapers on enterprise AI deployment
- [The 88% Problem](https://tentenai.com/en/resources/the-88-percent-problem): Why most enterprise AI pilots fail to reach production
- [Open-Source Model Stack 2026](https://tentenai.com/en/resources/open-source-model-stack-2026): Selecting and deploying open-weight LLMs for enterprise use
- [Claude Code at Enterprise Scale](https://tentenai.com/en/resources/claude-code-at-enterprise-scale): Agentic coding in regulated, multi-team environments
- [Multi-Agent Failure Modes](https://tentenai.com/en/resources/multi-agent-failure-modes): What goes wrong when agents orchestrate agents
- [RAG at Enterprise Scale](https://tentenai.com/en/resources/rag-at-enterprise-scale): Architecture and evaluation for retrieval-augmented generation in production
- [Fine-Tuning vs RAG](https://tentenai.com/en/resources/fine-tuning-vs-rag): Decision framework for enterprise AI knowledge systems
- [The FDE Operating Model](https://tentenai.com/en/resources/the-fde-operating-model): How forward-deployed engineering teams are structured and governed
- [Agentic AI Governance](https://tentenai.com/en/resources/agentic-ai-governance-runbook): Runbook for safe, auditable agentic AI deployments
- [Evaluation Drift](https://tentenai.com/en/resources/evaluation-drift): Detecting and correcting AI model performance degradation in production
- [AI in Regulated Environments](https://tentenai.com/en/resources/ai-in-regulated-environments): Compliance playbook for finance, healthcare, and legal AI
- [Hermes Agent Architecture](https://tentenai.com/en/resources/hermes-agent-architecture): Multi-agent design patterns for enterprise workflows
- [Enterprise Knowledge Structuring](https://tentenai.com/en/resources/enterprise-knowledge-structuring): Preparing unstructured data for AI retrieval at scale

## Optional

- [About](https://tentenai.com/en/about): Asia's forward-deployed AI engineering team
- [Partners](https://tentenai.com/en/partners): NVIDIA, Anthropic, Microsoft and more
- [GEO: AI search optimization service](https://geo.tenten.co/): Get your brand recommended by AI search engines
- [Careers](https://careers.tenten.co/): Now hiring FDE engineers

Notes for agents: locale availability varies for blog posts and whitepapers; follow each page's `hreflang` links or the sitemap instead of guessing a translated URL. Pages are also available as markdown via content negotiation (`Accept: text/markdown`). Machine-readable pricing: /pricing.md. Crawl policy: /robots.txt. Sitemap: /sitemap.xml.