Bewize Hub: shipped control plane
Hosts managed agent tenants with lifecycle actions, policy APIs, releases, secrets, storage, schedules, A2A edge access, and usage attribution.
Roomcord architecture
Roomcord is our main product: the AI decision engine we are building around project rooms, a live board, approvals and commitments. Bewize Hub supplies the managed agent runtime and operational controls. Wize Browser supplies governed browser context and web tools. Both components help Roomcord turn agreed decisions into completed work.

Answer
Roomcord is our main product: the AI decision engine we are building around project rooms, a live board, approvals and commitments. Bewize Hub supplies the managed agent runtime and operational controls. Wize Browser supplies governed browser context and web tools. Both components help Roomcord turn agreed decisions into completed work. Bewize connects AI execution to the operating context around it. Managed workers keep a stable identity and approved capabilities; shared rooms preserve decisions and team context; schedules and tools keep work moving; run evidence makes results inspectable. A2A connects compatible external agents, A2UI carries interactive work, and MCP connects tools and context without replacing ownership, policy, or accountability.
AI coworkers connected to real work
Roomcord is the product teams use to move from conversation to decision and commitment. Hub and Browser provide the execution and web-work components beneath it.
Roomcord
Hosts managed agent tenants with lifecycle actions, policy APIs, releases, secrets, storage, schedules, A2A edge access, and usage attribution.
The team decision engine, built on shared rooms and developing toward auto-board, approval ballots, commitments, follow-up and boss view. Hub and Browser support this mission.
Carries the same managed agent identity into web tasks through extension and Browser Sidecar components with tenant-scoped browser sessions.
The platform is positioned for private cloud or data-center operation where the company controls runtime placement, storage, credentials, logs, and release decisions.
A2A and A2UI are shipped. A populated specialist-agent network, open discovery, commercial distribution, billing, Slack and Teams adapters, a public browser assistant, and process mining remain future work unless separately proven.
Operations teams get a concrete path from AI experiments to governed agent work without losing ownership of agent identity, policy, isolation, and usage visibility.
A2A addresses agent-to-agent communication patterns, while MCP addresses how models and agents connect to tools and context. Evaluate both at the boundary of a private runtime with identity, policy, and observable runs.
Future vision
Bewize already supports participation by compatible external agents through A2A and A2UI. Our vision is a curated Specialist Agent Network where experts and companies can provide task-specific agents that customers bring into governed work. Providers, discovery, commercial terms, billing, and marketplace operations are not live today.
Expertise that stays maintained
The provider improves the agent. The customer controls where and how it works.
Specialist Agent Network
Bewize can connect and use compatible third-party agents hosted on Google or other agent platforms instead of limiting participation to Bewize-hosted agents.
Customers could find verified task-specific agents, understand their required permissions and evidence, agree on commercial terms, and bring them into a governed operating room.
A specialist studio could maintain an agent that turns an approved brief into a production plan, coordinates generation tools, presents drafts through A2UI, and returns work for human approval. This is an illustrative future example, not a currently listed provider.
The customer controls agent identity, permissions, context, data boundaries, evidence, cost visibility, approval, version adoption, and removal.
Use these checks to decide whether an AI agent platform is ready for enterprise operation rather than another unmanaged automation tool.

Can each agent run as a managed tenant with known lifecycle, release, storage, credentials, and log boundaries?
Review capability →
Can operators inspect and change policy, access, secrets, and runtime-impact settings without exposing secret values?
Review capability →
Can the team see runs, schedules, usage, evaluation evidence, and cost signals before expanding agent coverage?
Review capability →
Can the team connect agent and tool workflows while retaining tenant, policy, release, and evidence boundaries?
Review capability →Roomcord is the product teams use to move from conversation to decision and commitment. Hub and Browser provide the execution and web-work components beneath it.

Know what needs your attention. Without chasing updates. Roomcord brings team conversations, meetings and AI teammates into shared project rooms. We’re building its decision engine to surface decisions, owners, deadlines and blockers, with people confirming commitments.
Explore component →
AI agent platform for hosting, orchestration, A2A edge access, flavors, and runtime operations.
Explore component →
Chrome MV3 extension plus server-side Browser Sidecar isolation for browser agent work.
Explore component →These pages answer the main enterprise buying questions: how agents are managed, observed, secured, deployed, and connected to work.
Lifecycle, releases, policy, schedules, and tenant runtime control.
Open capability →Runs, usage, schedules, metrics, and spend attribution.
Open capability →Approved reusable procedures and capabilities for managed agents.
Open capability →AgentsEval scenario evidence, replay, and ship/watch/fail verdict rollups.
Open capability →Per-tenant browser profiles, sessions, runtime artifacts, and web-work boundaries.
Open capability →Tenant boundaries, secrets, policy, redaction, and access controls.
Open capability →Room and adapter channels for people working with agents.
Open capability →Private-host and on-premise deployment paths for agent operations.
Open capability →Roomcord is the product teams use to move from conversation to decision and commitment. Hub and Browser provide the execution and web-work components beneath it. Discuss how Roomcord, Bewize Hub, and Wize Browser should connect for your team: hosted agents, shared rooms, browser work, evaluation gates, deployment boundaries, and observability.
Share a little context. Our team will reply by email to arrange the next step.