Knobase Agent
Enterprise agent platform
Deploy, govern, and iterate agents across the organization — one control plane so teams stay aligned without tool sprawl.
Coming soonTurn proprietary knowledge into a working AI advantage.
Knobase is the ecosystem for organizations turning proprietary knowledge into secure collaboration, deployable agent systems, and sovereign AI infrastructure.
From individual expertise to enterprise deployment, Knobase keeps human judgment, institutional context, and AI execution in the same system.
1,100+ Users · 300+ AI agents deployed · 17,000+ Messages
One ecosystem, expressed through the surfaces teams need most.
Knobase can begin with personal workflow, team collaboration, or institutional infrastructure. The products differ by starting point, but the system is designed to compound across all three.
In practice, teams usually start with one surface: a shared workspace, a governed agent layer, or a private knowledge system they control.
Knobase Block
Sovereign knowledge engine
Store, structure, and activate proprietary knowledge — secure, portable, and ready for downstream AI workflows.
Coming soonKnobase Workspace
Collaboration surface for humans and agents
Shared workspace where judgment, context, and execution stay in one place instead of scattered across tabs and chats.
Coming soonEcosystem
One surface. Three layers.
Three layers you can combine any way — nothing is locked to a single path or order.
Knobase ecosystem
Nothing is exclusive — swap, combine, or run layers in any order you need.
Knobase Workspace
Humans + AI, one canvas
The real-time canvas where teams and agents work together — proprietary context shared safely with AI, without fear.
Knobase Agent
Govern & deploy agents
Deploy, govern, and scale AI agents across your organization — the control plane for powerful, branded agent experiences.
Knobase Block
Sovereign knowledge layer
Where proprietary knowledge lives, stays structured, and stays yours — portable, secure, and ready to power every agent and workflow.
Use cases
Applied proof
Real organizations using Knobase in school operations, business simulation, and social-science research.
AI-native business simulation across 100+ universities worldwide.
AI teaching assistants, domain-specific agents, and one-click round analysis made business simulation faster to interpret and easier to teach at scale.
LLM Infrastructure
From repetitive school questions to a richer understanding of the community.
The pilot surfaced logistics demand, deeper MUN engagement, prompt-quality insights, and safeguarding signals that helped the school act faster and more deliberately.
Personalized learning
Empowering social science research with custom AI agents for educator mental wellness in Hong Kong.
Custom agents aligned with research protocols help the team engage educators at scale while supporting insight into wellbeing and stress in a high-trust environment.
Wellbeing research
Why this matters
IP lockdown is real. The knowledge that differentiates you is often the hardest to share — buried in docs, siloed in tools, or kept offline on purpose.
Generic AI is shallow because it runs on public data. The next wave of value comes from activating your context safely and productively.
AI should work at the speed of your thought.
Principles
- Proprietary context beats generic public data.
- Open ecosystem — extensible, interoperable, yours to compose.
- Human judgment amplified — not replaced.
- Sovereignty and auditability by design.
Privacy and IP aren’t afterthoughts — they shape how Knobase is built, deployed, and governed.
Built to scale from personal expertise to institutional AI
Knobase is broad by design, but the progression is deliberate: individual knowledge becomes team context, team context becomes organizational capability, and organizational capability becomes durable infrastructure.
Individuals
Personal expertise becomes usable AI context.
- Notes, frameworks, and working knowledge become structured context
- A practical starting point for people already shaping how they work
Professionals
Judgment carries forward instead of getting repeated.
- Preserve context across clients, projects, and decisions
- Reduce re-explaining, copy-paste, and fragmented AI use
Teams
Shared work for humans and agents in one system.
- Shared workspaces, history, and live context
- Permissions, libraries, and collaboration patterns that scale
Enterprises
Private AI systems built on internal knowledge.
- Governance, deployment control, and security review
- Private, air-gapped, and regulated operating paths
For organizations building on proprietary knowledge
When AI touches sensitive workflows, internal knowledge, or regulated decisions, the question is not just model quality. It is control, deployment fit, and whether the system can operate on your actual context.
- Activate proprietary knowledge securely
- Private cloud, self-hosted, and air-gapped paths
- Compliance-ready governance and auditability
- Workflows built on internal context — not generic prompts
- Long-term strategic knowledge infrastructure
Best fit for regulated, research-heavy, and knowledge-dense teams that need more than generic copilots.
FAQ
Direct answers — no filler.
Knobase is a platform for AI collaboration, governed agent deployment, and private knowledge infrastructure built around proprietary organizational context.
A platform of connected products: Workspace for collaboration, Agent for deployment, and Block for private knowledge infrastructure. Teams can start with one surface and expand over time.
Individuals, professionals, teams, and enterprises that need AI to operate with richer proprietary context — not generic web answers.
Chatbots optimize for speed on public data. Knobase is built for structured knowledge, continuity, and human collaboration.
Knobase is designed for interoperability, extensibility, and user control. Teams can choose the right deployment and integration model for their needs, while licensing remains component-specific.
Pick the surface that matches today — Workspace, Agent, or Block — then connect the rest.
Build your AI advantage on what only you know.
Your frameworks and experience shouldn’t sit idle while generic models fill the gap.