Company knowledge becomes shared work.

How does the team get in?

The first distance between signing up and the first person actually using it.

Skyller

The company gets its own address and each person signs in through the browser, from any computer, installing nothing. Whoever prefers an application has Skyller Desktop, with a signed installer for Mac, Windows and Linux. The difference is that installing is an option, not a requirement: someone who only wants to ask a question needs no admin rights and no installer pushed to forty machines.

G4 OS

The product ships as a desktop application: .dmg for Mac on Apple Silicon and for Mac on Intel, .exe for Windows and AppImage for Linux, between 200 MB and 530 MB depending on the system. The download page describes automatic updates and gives the installation steps per system. It is the only published route — browser access does not appear on the official pages we read.

Who pays, and for what?

Skyller

One company subscription. Each plan includes a number of users and a shared balance of AI credits; the subscription does not change when more people start using it, up to the plan's user limit. The price is published on the Pricing page.

G4 OS

The page publishes four tiers: a free plan, Pro at R$ 600 a month, Max at R$ 1,200 a month and Company on request, from R$ 3,000 a month. The FAQ explains the design: Company does not charge per seat, the administrator distributes individual plans among the team, and unused credits roll over month to month.

How many tools are ready to connect?

Skyller

The catalogue brings together ready-made integrations. Anything outside it comes in through a bridge to the system itself, built by the vendor, IT, a partner or Skyller as a separate service, reachable by the platform or the local bridge. Active connections follow plan limits.

G4 OS

The official FAQ publishes 27 managed connections ready to use and says any API can be connected through a direct or standard connection. The architecture panel on the same page mentions more than 60 integrations.

Does the answer become a task with an owner and a due date?

Skyller

Conversations create and move cards in the platform’s Kanban boards. Teams track owners, deadlines, priorities, subtasks and checklists, with configurable reminders and recurring cards, subject to access and allowances.

G4 OS

The native connections create and prioritise issues straight from the conversation in Linear and update sprints and blockers in Jira without opening the board, and the list also names Asana and Trello. It works well for whoever already lives inside those tools. What the published offer does not describe is a Kanban of its own for the team that has none of them.

Does the published document become an assessment with a score?

Skyller

Generate an editable assessment draft from documents, review it and publish it. Assign it to people or groups, set a deadline and passing score, and track attempts and results. Assessment quantities depend on the plan; no certificate or formal read acknowledgement is issued.

G4 OS

The official pages describe conversation, artifacts that can be edited and exported, routines, schedules, monitoring watchers and an internal marketplace of automations built by the company itself. An assessment assigned to people, with a deadline and a passing score, is not among the described capabilities.

Looked for on the product pages, the release log and the official FAQ. Absence of mention is not proof the feature is absent.

Can AI specialists work together?

Skyller

Depending on the selected mode, the lead routes to one specialist or coordinates several members and combines their output. A Team can consult all members or execute tasks; each agent uses its allowed model configuration, including different providers.

Models and usage follow the plan’s modes and credits; access follows permissions.

G4 OS

G4 OS publishes agents, model selection, company context and automations. This supports specialized work; the consulted page does not detail the same Team coordination modes described for Skyller.

Agents are documented; coordination of several specialists in one Team must be confirmed in the offer under review.

Who validates knowledge before the team relies on it?

Skyller

The company can configure single approval or review followed by approval, with recorded roles and decisions. Drafts, pending content and rejected documents stay out of production knowledge answers. Company workspaces define access to published material.

Workspace policy defines stages and responsibilities; individual spaces may publish automatically.

G4 OS

G4 OS describes company context, granular access, collaborative projects and shared memory. A document lifecycle with an author, reviewer, publication and drafts excluded from answers was not confirmed on the consulted page.

Official product page and FAQ consulted; confirm the document workflow in a demo.

Can a routine run again without repeating the request?

Skyller

Schedule agents and Teams for recurring routines or event-triggered runs. Set a time and timezone, track run history and receive notifications. Work runs on the server under the access context of the person who configured it.

Runs use available permissions and credits. API access depends on plan; local connectors need Desktop and the connector running.

G4 OS

The official page publishes routines, schedules and monitoring. Scheduling is not exclusive to Skyller: compare where a routine runs, which connections it uses and how results become available to the team.

Where does the work live when someone changes computers?

Or leaves the company — which is when HR asks the question.

Skyller

In the company's workspace. The published document, the task card, the recorded approval and the assessment stay in the workspace, with a list of who can see what. Changing computers changes nothing, and whoever arrives later finds what was already there without asking anyone. The context of the company and of the area stays in the same workspace and goes with every answer, on any computer.

G4 OS

The FAQ describes encrypted local history, settings and credentials. The same page publishes company context, granular permissions, collaborative projects and sessions, and cloud-synchronized memory. Custody varies by content type.

And what is not in the cloud — the file and the in-house system?

Both solve this, by different routes. It is worth working out which of the two is your case.

Skyller

Skyller Desktop runs connectors on the machine itself: a local server, started by the application, with a list of allowed folders as the boundary. The program path and the credentials stay on the computer and never reach our server. Add to that the bridge the company registers on its own, which can run inside its own network. Driving the screen of a web system with no integration at all is where their internal browser goes further.

G4 OS

The page publishes an internal browser with exactly that purpose written down: controlling systems without an API through the browser built into the application. For a company full of legacy web systems, that solves a problem an API connection cannot, and it is a good idea.

Can the team control when AI may execute an action?

The difference between autonomy and risk when something is deleted, archived or sent outside.

Skyller

Actions configured for approval pause and await confirmation from the person who initiated the run. This controls tool use; document review and publication have their own workflow, with roles defined by governance.

Rules may require, skip or inherit confirmation; this is not second-person approval.

G4 OS

G4 OS publishes three modes: Explore, Ask before editing and Execute. They control assistant autonomy and when the user confirms an action. Both offers have action controls; this differs from document publication workflows.

Can answer quality be checked on a public leaderboard?

Here both publish one — and they measure different things.

Skyller

Skyller submitted to EnterpriseRAG-Bench, a public test of questions over half a million company documents, and came 1st in answer completeness and 2nd overall, among 22 systems. The result — with rank, score, date and the four measurements next to the top entries — is set out in full on our Answer quality page.

G4 OS

G4 maintains G4 Work Eval, a public leaderboard comparing twenty AI models across thirteen knowledge-work tasks, ten runs each, 2,600 scored runs, with the formula and the code open. It is serious work — and it measures models, as the page title itself says. The two leaderboards are not comparable: one helps you choose the model, the other measures a platform answering over company documents.