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 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.

One stuck workflow
is enough to begin

Tell us what the team does today, where it breaks down, and what a better working day should look like.