What makes Skynet different

Skynet is one workspace for every AI model, agent, and mini-app your team uses: a “second brain” that remembers, connects, and acts, instead of a chat window you copy-paste into and out of.

Affordable

Frontier AI shouldn’t carry a frontier price tag. Skynet auto-routes every prompt to the right-sized model and folds separate ChatGPT, Claude, and Gemini subscriptions into one bill: most teams cut their AI spend by up to 70%. Pro starts at $20/mo for every model, every connector, and scheduled agents; the Free plan needs no credit card at all.

Teams & collaboration

On Teams and Enterprise, your organization shares memory, skills, and projects instead of everyone starting from their own blank workspace. Add people, create teams by project or department, and everyone works from the same collective context. See small team: Teams plan.

Data ownership

Data is the resource every AI product is quietly built on. Skynet doesn’t train its models on what you feed it: your prompts, documents, and connected context stay yours, not raw material for improving somebody else’s model. See data uses.

Enterprise goes further: deploy in your choice of cloud, or your own data centre, so no data leaves your site at all. Encryption keys can be managed within your own infrastructure rather than Skynet’s, and you retain control over data, backups, and access logs. See security & compliance.

Memory

Persistent memory carries across sessions, projects, and conversations, so you don’t re-explain yourself every time. On Teams and Enterprise it becomes collective memory: one person’s research, another’s code patterns, and a third’s project context all become the team’s shared intelligence.

Hyperspecialized for your use cases

Beyond open-ended chat, mini-apps are purpose-built for specific jobs: reviewing a contract for risk, cleaning a spreadsheet, building a customer persona, tracking a department budget. Browse the full use-case library to see the range.

Built by a team centred in India

Skynet is built by a small, senior engineering team centred in India, with colleagues across Europe and Southeast Asia: builders first, shipping and iterating rather than talking about it.

Meeting and call recorder bots

Connect Google Meet or Zoom and Skynet joins as a participant, takes its own notes, and posts a recap with action items the moment the call ends: no manual note-taking.

More value than Claude or ChatGPT

Standalone AI chat products give you one model behind one subscription. Skynet’s cost math is built around replacing several: fold what you’d otherwise pay for a chat subscription, a meeting-notes tool, and an image or video generator into one $20/mo plan, and most teams still come out ahead. See Skynet vs Claude and Skynet vs ChatGPT for the full feature-by-feature comparison.

Mini-apps for focused work

A mini-app is a guided, single-purpose tool, not another conversation thread: hand GenStudio a brief and get back a storyboarded video ad, scenes and all. Use a mini-app when you already know the shape of the output you need.

An always-on Copilot

The Copilot runs alongside your work, learning your business and watching how work actually flows. When it spots something you repeat, it proposes turning it into a skill, builds it once you approve, and keeps identifying opportunities to automate from there.

Your company brain

On Teams, “build company brain” means Skynet’s collective memory and connectors work together across your whole organization:

  • Analyzes data across your connected pipelines: email, chat, meetings, and documents feed the same shared context.
  • Surfaces risk: use cases like contract & NDA risk review and security alert response run on the same underlying memory and connectors.
  • Recognizes patterns: the Copilot notices repeated work across the team and proposes fixes, not just for one person.
  • Pulls from every connected source: third-party tools, connected data sources, and documents, through connectors & integrations.
  • Learns from the whole team: everyone’s interactions contribute to one collective memory, not isolated per-person histories.
  • Identifies opportunities: the Copilot flags automation opportunities as it learns your work.
  • Automates and executes tasks: through agents and skills, not just suggestions.
  • Runs in a permissioned environment: role-based access control, selective memory controls, and approval-by-default on any action that changes something outside Skynet; see security & compliance.

Where to go next

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