Hermes Hub: shipped control plane
Hosts managed agent tenants with lifecycle actions, policy APIs, releases, secrets, storage, schedules, A2A edge access, and usage attribution.
Private enterprise AI agent platform
Run company AI agents on infrastructure your team controls
Bewize is a private enterprise AI agent platform. Hermes Hub governs managed agent runtimes, WorkCord gives people and agents a shared work surface, and Wize Browser extends controlled agent work into browser tasks without turning every workflow into unmanaged shadow AI.
Answer
What is the Bewize platform?
Bewize is a private AI agent ecosystem for enterprise teams that need interoperable agent work to stay governed after pilots. Hermes Hub is the shipped control plane for tenant-scoped agents, lifecycle, policy, secrets, schedules, runs, usage, releases, and A2A connection. WorkCord and Wize Browser provide the collaboration and browser-work surfaces around that controlled runtime. MCP and A2A are interoperability patterns to evaluate alongside runtime ownership, policy, and evidence—not substitutes for them.
Controlled agent infrastructure
Hermes Hub anchors the platform; WorkCord and Wize Browser add the work surfaces.
Hermes Hub
Tenant agentsWorkCord roomsWize BrowserAgentsEval verdictsPoliciesUsage metricsSkills and storage
WorkCord: team work surface
Gives people and agents shared rooms for context, decisions, and operational collaboration instead of scattering agent work across private accounts.
Wize Browser: browser-work boundary
Carries the same managed agent identity into web tasks through extension and Browser Sidecar components with tenant-scoped browser sessions.
Enterprise boundary
The platform is positioned for private cloud or data-center operation where the company controls runtime placement, storage, credentials, logs, and release decisions.
Honest roadmap line
A2A is shipped. Full A2UI, an open third-party marketplace, Slack and Teams adapters, a public browser assistant, and process mining remain roadmap unless separately proven.
Operational outcome
Operations teams get a concrete path from AI experiments to governed agent work without losing ownership of agent identity, policy, isolation, and usage visibility.
Interoperability evaluation
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.
How buyers should evaluate the platform
Use these checks to decide whether an AI agent platform is ready for enterprise operation rather than another unmanaged automation tool.
Runtime ownership
Can each agent run as a managed tenant with known lifecycle, release, storage, credentials, and log boundaries?
Review capabilityGovernance controls
Can operators inspect and change policy, access, secrets, and runtime-impact settings without exposing secret values?
Review capabilityOperational evidence
Can the team see runs, schedules, usage, evaluation evidence, and cost signals before expanding agent coverage?
Review capabilityInteroperability boundaries
Can the team connect agent and tool workflows while retaining tenant, policy, release, and evidence boundaries?
Review capabilityThe three public products
Hermes Hub is the proof anchor; WorkCord is the room-based collaboration surface; Wize Browser carries the same managed agent onto the web. AgentsEval and Browser Sidecar are supporting layers, not separate public products.
Hermes Hub
AI agent platform for hosting, orchestration, A2A edge access, flavors, and runtime operations.
View product
Wize Browser
Chrome MV3 extension plus server-side Browser Sidecar isolation for browser agent work.
View productCapabilities across products
These pages answer the main enterprise buying questions: how agents are managed, observed, secured, deployed, and connected to work.
AI agent orchestration
Lifecycle, releases, policy, schedules, and tenant runtime control.
Open capabilityObservability and cost control
Runs, usage, schedules, metrics, and spend attribution.
Open capabilitySkills and skill packs
Approved reusable procedures and capabilities for managed agents.
Open capabilityAgent evaluation
AgentsEval scenario evidence, replay, and ship/watch/fail verdict rollups.
Open capabilityBrowser Sidecar isolation
Per-tenant browser profiles, sessions, runtime artifacts, and web-work boundaries.
Open capabilitySecurity and governance
Tenant boundaries, secrets, policy, redaction, and access controls.
Open capabilityPrivate AI agent platform FAQ
Is Bewize a single chat product?
No. Bewize is positioned as a platform: Hermes Hub governs the agent runtimes, WorkCord provides the room-based collaboration surface, and Wize Browser extends managed agent work into browser tasks.
What is shipped versus roadmap?
Hermes Hub runtime control and A2A connection are shipped. Full A2UI, an open third-party marketplace, Slack and Teams adapters, a public browser assistant, and process mining should be treated as roadmap unless separately proven.
Who is the platform for?
The primary buyers are enterprise platform, operations, IT security, and engineering leaders who need private agent infrastructure instead of unmanaged AI tool sprawl.
How do A2A and MCP fit an enterprise agent platform?
A2A and MCP describe complementary interoperability patterns: A2A for agent-to-agent collaboration and MCP for model or agent access to tools and context. Bewize places those patterns inside a private, tenant-scoped operating boundary; the exact connector or capability must still be verified for the deployment.
Source context
Refreshed August 18, 2026. The interoperability framing is grounded in the official A2A protocol documentation and Google Developers coverage; Bewize product statements are limited to the current platform page and tenant product truth.Design the agent platform for your team
Discuss how WorkCord, Hermes Hub, and Wize Browser should connect for your team: hosted agents, shared rooms, browser work, evaluation gates, deployment boundaries, and observability.
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
Email the Bewize teamThis opens your email application. Read our Privacy Policy.