AI agent comparison
Bewize vs OpenAI Dots: a personal agent or a company AI team?
Dots gives individuals persistent agents with cloud computers. Bewize is designed for companies that need people and multiple agents to work together inside an operating boundary the company controls.
The decision
Choose Dots when a polished OpenAI-managed personal agent is the priority. Evaluate Bewize when the requirement includes shared operating rooms, company-controlled deployment, reusable agent configurations, visible multi-agent handoffs, and external-agent interoperability.
OpenAI’s launch describes persistent learning, plugins, approvals, and a cloud computer. The key evaluation question is whether the work belongs primarily to one person or must remain governable and reusable across a company. Review OpenAI’s announcement.
Capability comparison
Bewize and OpenAI Dots: ten capabilities that matter in production
This table distinguishes native product capability from partial coverage, missing capability, and claims that could not be verified in public first-party material. It compares the whole operating system around agents, not model intelligence alone.
| Selling feature | Bewize | OpenAI Dots | Why buyers care |
|---|---|---|---|
| Company-controlled private-cloud or data-center deployment | ✓ | — | Keep runtimes, storage, credentials, logs, and adapters inside the company operating boundary. |
| Complete agent control plane | ✓ | ◐ | Manage lifecycle, identity, permissions, secrets, schedules, and releases in one system. |
| Persistent agent work environment | ✓ | ✓ | Let agents work with files, tools, integrations, and controlled browser access instead of only answering prompts. |
| Scheduled and proactive work | ✓ | ✓ | Keep recurring work moving without waiting for a new chat message. |
| Shared workspace for people and agents | ✓ | ◐ | Put teams and multiple AI coworkers in the same ongoing operating room. |
| Durable shared team context | ✓ | ✓ | Retain decisions, sources, meetings, threads, and history across people and agents. |
| Human approval and escalation controls | ✓ | ✓ | Keep people in authority over consequential actions and exceptions. |
| Multi-agent team coordination | ✓ | ✓ | Coordinate specialist agents and visible handoffs around one business outcome. |
| External-agent interoperability | ✓ | ◐ | Connect useful third-party agents instead of locking every capability into one vendor runtime. |
| Reusable, observable agent operations | ✓ | ✓ | Reuse proven configurations, inspect execution evidence, and measure usage and intervention. |
✓ native · ◐ partial, adjacent, or requires assembly · — not offered as the product boundary · ? not verified in the cited public material. Competitor information reviewed October 2026 · First-party source
Compare the real operating model
Bring one recurring workflow. We will map its runtime, context, approvals, handoffs, and evidence in Bewize.
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.
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