Enterprise AI comparison
A company-owned agent fleet, not one cloud assistant
Bewize gives a company one agent per person, team, or function, running on its own servers and inside its own chat, while still using OpenAI models when they fit.
At a glance
| Capability | Bewize (Hermes Hub + Workcord) | OpenAI ChatGPT Enterprise |
|---|---|---|
| Deployment | Self-hosted on a Linux box with isolated agent runtimes; data, files, and memory stay on hardware the company controls. | Cloud only for ChatGPT and frontier models; self-hosting is limited to gpt-oss open-weight models. |
| Model choice | OpenAI/Codex, Claude, Bedrock, OpenRouter, and automatic failover; switch providers fleet-wide by configuration. | One model vendor: OpenAI. Usage is billed in credits/tokens on top of seats. |
| Agents per organization | A fleet: personal agents plus shared agents for teams and functions. | Workspace Agents are org-shared Codex-powered agents with per-agent Slack identity but per-workspace setup. |
| Per-team customization | Team-scoped skills, configuration, shared folders, and peer visibility. | Workspace Agents are configured per workspace; Teams integration is read/search only. |
| Agent-to-agent collaboration | Durable A2A conversations, multi-peer sessions, and shared department filesystem. | Workspace Agents support shared agents and connectors; durable multi-agent collaboration is not publicly documented. |
| Scheduled automation | Jobs belong to the agent or organization, can run at any cadence, and survive staff changes. | ChatGPT Work supports scheduled runs; Enterprise is capped at 15 active tasks. |
| Chat surface | Workcord is the company workspace: rooms, DMs, voice, calls, transcription, mobile, web, and desktop, with agents as room members. | ChatGPT is the assistant surface; Workspace Agents can be used in Slack. Teams integration is read/search only. |
| Secrets handling | Agents do not hold raw provider keys; Hermes Hub injects managed secrets, including auto-refreshing OAuth2, at the proxy. | Enterprise supports customer-managed encryption keys; the model runs in OpenAI’s cloud, so there is no customer-side provider-key isolation to manage. |
| Pricing model | Pay for the box and the company’s model spend; no per-seat metered surprise. | Enterprise is quote-only, with reported roughly 150-seat minimum and $45–75/seat/month; newer contracts may add token-based usage billing. |
| Data location | Runtime data, files, and memory can remain on company-controlled hardware. | Data at rest can be in the US, EU, UK, Canada, Japan, South Korea, Singapore, India, Australia, or UAE; inference is US by default. |
| Compliance and administration | Company-controlled deployment and runtime policies. | Mature enterprise surface: SAML SSO, SCIM, RBAC, audit logs, retention, customer-managed keys, SOC2/ISO, and data residency. |
| Model quality | Use OpenAI models when their frontier quality is the right fit, with provider choice and failover. | Frontier model quality and brand trust are strengths. |
Competitor information as of August 2026, based on public pricing and documentation.
Also compare Bewize vs Anthropic Claude for Enterprise.
Where Bewize wins
Your boundary, your runtime
A single .deb can turn a Linux box into a fleet of roughly 1,000 isolated agents. Each agent has its own Linux user, per-agent firewall, egress proxy, and memory/CPU quota. Data, files, and memory stay on hardware the customer controls.
OpenAI offers ChatGPT and frontier models in the cloud. Self-hosting is limited to gpt-oss open-weight models, not on-prem ChatGPT or frontier models. Bewize makes the runtime boundary part of the product.
OpenAI can be a model, not a commitment
Bewize can run OpenAI/Codex, Claude, Bedrock, or OpenRouter, with automatic failover. Change providers across the fleet by configuration. Agents never receive raw provider keys; the Hub injects managed credentials at the proxy.
That lets a company use OpenAI where it performs best without tying every agent, workflow, and room to one provider. Provider changes are a fleet configuration decision rather than a workspace migration.
Many agents for real organizations
Give each person a personal agent, each department shared agents, and each function its own skills and configuration. Shared folders and scoped peer visibility keep collaboration useful without making every agent org-wide.
Workspace Agents are a step in this direction, but they are set up per workspace, not per team. Bewize makes personal, team, and function-level agent identity a core operating model.
Agents collaborate in the company’s room
Workcord is the workspace itself: rooms, DMs, voice, calls, transcription, mobile, web, and desktop. Agents are first-class room members, while Hermes Hub supports durable A2A conversations, multi-peer sessions, and shared department filesystem.
OpenAI’s Workspace Agents can use connectors and Slack. Bewize combines the room, the fleet, and the collaboration boundary under company control.
Automation and skills belong to the organization
Scheduled jobs belong to the agent or organization, can run at the cadence the operation needs, and survive staff changes. Versioned skills and flavors support evals, staged rollout, managed secrets, and team-owned configuration.
ChatGPT Work supports scheduled runs, but Enterprise is capped at 15 active tasks. OpenAI’s platform has also moved through Operator, agent mode, and ChatGPT Work, while custom GPTs are moving toward Workspace Agents.
Where OpenAI is stronger
- Frontier model quality and brand trust. Bewize uses OpenAI models because they are strong.
- Mature compliance certifications and enterprise administration, including SAML SSO, SCIM, RBAC, audit logs, retention, customer-managed keys, SOC2/ISO, and data residency.
- Polished consumer-grade chat UX and a much larger connector, developer, partner, and ecosystem footprint.
- OpenAI’s managed cloud experience is simpler when a company wants a centrally operated assistant and accepts the platform’s pricing and product evolution.
Common questions
Can Bewize use OpenAI and Codex?
Yes. OpenAI/Codex is one of the supported model paths, alongside Claude, Bedrock, and OpenRouter.
Does Bewize replace ChatGPT Enterprise?
It addresses a different layer. Bewize provides the company-owned agent fleet, control plane, and workspace; teams can still use OpenAI models where they fit.
Is Bewize on-premise?
The Hermes Hub agent runtime can run on a Linux box controlled by the company. This comparison is about the agent and workspace layer; model hosting remains a separate provider choice.
How does cost compare?
ChatGPT Enterprise is quote-only, with reported roughly 150-seat minimums and about $45–75 per seat monthly; newer contracts may add token-based usage. Bewize’s model is the box plus the company’s model spend rather than seats plus credits and add-ons.
What are Workspace Agents?
As of August 2026 they are a research-preview successor to custom GPTs: org-shared, Codex-powered agents with connectors, schedules, and Slack usage. Setup is per workspace, and billing uses credits or tokens.
Which should an enterprise choose?
Choose ChatGPT Enterprise when managed cloud delivery, mature compliance surfaces, and frontier model quality are the priority. Choose Bewize when the company needs a self-hosted fleet, provider choice, org-owned automation, and a workspace it controls.
Build a company-owned agent fleet
Talk with Bewize about self-hosting, model choice, Workcord rooms, team agents, managed secrets, and an operating model that survives staff changes.
Architecture conversation
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