Bring AI closer to real work—and within reach of more enterprises
Boyuan focuses on private enterprise AI agents, turning model capabilities into practical tools that teams can use, govern, and improve over time.
We want to lower the barrier to enterprise AI so small and mid-sized businesses can also build secure, reliable agents that operate in real workflows.
From delivery work to real enterprise needs
Boyuan did not begin with a concept. It grew from repeated work in model deployment, knowledge systems, agents, and enterprise implementation: businesses need more than a conversational model. They need a product that understands content, connects systems, respects access, and completes tasks.
That is why we move from “deploying a model” to “delivering an AI employee.” We begin with one valuable scenario, validate it with real material and outcomes, then turn the learning into repeatable products and delivery methods.
Technology matters when an enterprise can truly put it to work.
Connect compute, models, knowledge, and business
Enterprise AI crosses both technical and operational boundaries. Four capability areas work together to close the gap between proposal and production.
Compute & models
Private inference, quantization, memory, and concurrency optimization
Products & agents
Knowledge, tool use, workflows, and enterprise application design
Systems & delivery
Data access, identity, security, integration, and operations
Scenario research
Work with frontline tasks and validate product value continuously
Put long-term thinking into every delivery
Understand the user, workflow, and problem before discussing models.
Define data, access, model calls, and audit from the architecture stage.
Judge the product with real tasks, real content, and observable results.
Delivery is not the finish line; feedback and operation compound value.
Strong engineering, close to the business
Enterprise intelligence is not a one-time software purchase. We value field discovery, shared problem definition, rapid validation, and long-term operation.
Discuss your scenarioWork that matters takes people willing to practice for the long term.
We welcome enterprise customers, industry experts, technical partners, and ecosystem collaborators to bring private AI agents into more real-world workflows.
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