PARTNERS

Partnerships that matter,
starting with delivery

Why build with Tenten

1

Platform-neutral delivery

We choose the platform mix that fits the use case and compliance needs, with no single-vendor lock-in — your architecture decisions always lead with operational need.

2

From PoC to production

Platform capabilities only matter once they reach production. The FDE team engineers each platform's best practices into auditable systems delivered in weeks.

3

Localized enterprise integration

Traditional-Chinese context, the compliance landscape of Taiwan and APAC, your existing enterprise systems — we wire global platforms into your local operations.

TECHNOLOGY STACK

The platforms we build
and ship on

  • NVIDIA

    Edge inference and vision compute

    Visual defect detection and predictive maintenance for manufacturing, running on NVIDIA GPUs and edge devices — TensorRT-optimized inference that catches defects in real time, no internet required.

    Edge visual QAGPU inference optimizationReal-time line inspectionRelated use case
  • OpenAI

    Generative assistants and multimodal pipelines

    Product-content generation, multilingual batch output and multimodal understanding pipelines. We wire GPT models into your review workflow to scale content operations while holding the line on brand quality.

    Content-generation engineMultimodal understandingBatch review workflowRelated use case
  • Anthropic

    Enterprise copilots and agentic workflows

    Long-context document review, traceable enterprise copilots and agentic automation built on Claude — answers cite sources and processes leave a trail, so regulated industries can actually use it.

    Long-document reviewAgentic workflowsAuditable copilotsRelated use case
  • Microsoft

    Azure cloud and enterprise integration

    Private deployment on Azure, single sign-on with Entra ID, a workflow entry point inside Teams — AI systems that live in your existing Microsoft environment, so IT and security don't have to relearn a new stack.

    Azure private deploymentSSO / RBAC integrationTeams workflowsRelated use case
  • Qualcomm

    On-device AI and connected scenarios

    On-device inference on the Snapdragon platform — low-latency AI for wearables, connected cars and field terminals, with data staying on the device so privacy and speed hold at once.

    On-device inferenceConnected-car servicesLow-latency experienceRelated use case

"Platforms iterate and models get replaced. Our job is to keep your operations running on every generation of the technology — and running faster each time."

Tenten AI · Our technology-partnership stance

Want to bring AI
into real operations?

Whether you're a platform, a systems integrator, or an enterprise team validating your tech choices — bring your scenario and let's talk about delivering it together.

A new era of
AI-native products

Ship your first AI use case in weeks, not quarters.