How Imaginne works.
A conversation up front. A complete system behind it: memory, files, connections, agents and execution — working together to deliver what you asked for.
- Spreadsheet and report read
- Costs × vendors crossed
- Executive summary written
- PDF generated and delivered
Delivers — doesn't promise
When you ask for a document, a spreadsheet or a deck, the result shows up in the conversation as a real file — ready to download and use. Imaginne only marks the task complete when what you asked for was actually delivered.
Technical details
Artifacts are finalized in durable storage before the run is marked complete. If delivery fails, the failure is reported explicitly — never a broken link or a ghost file.
Memory that compounds
Imaginne learns your preferences and working context across conversations — you don't re-explain who you are and what matters on every request. You can see and control everything it remembers.
Technical details
Server-side memory per user, with automatic curation: deduplication, updates when a fact changes, and filters that keep secrets and credentials out of memory.
Projects and files
Organize conversations by project, attach documents and spreadsheets, and ask about them. Project context follows every conversation inside it.
Connections to your work
Google Workspace, Microsoft 365, Slack, your company's databases and APIs. Connect once and Imaginne starts using them — within the permissions your organization granted.
Technical details
Each integration only loads when active for the organization, the user and the surface. Corporate data queries run with the user's own delegated identity — the database decides what they see, not the AI.
Agents, without programming
In Imaginne Studio you build agents visually — describe what you want, connect the steps, test on the spot and publish to your organization. No JSON, no code.
Technical details
Agents combine LLM, HTTP, SQL, SSH, e-mail and decision nodes. Credentials used by an agent become managed Agent Space secrets — they never live in the flow.
Organization skills
Procedures your company packages — generating a standard report, operating an internal system — become skills any authorized person triggers by conversation.
Technical details
Activation is explicit and auditable: the skill declares what it needs, and credentials are resolved by the platform at execution time.
Real execution
Imaginne doesn't describe the work — it does it. It analyzes data, runs queries, generates files and operates connected systems in its own isolated execution environment.
Technical details
Every run executes in a sandbox with kernel isolation (gVisor), restricted network egress and an ephemeral workspace. What the task doesn't need, it can't reach.
Built-in web search
When the request needs current information, Imaginne searches the web and cites what it found — without you leaving the conversation.
The right model, no lock-in
Platform models for conversation and analysis — and, if your organization prefers, your own model keys (BYOK) with per-profile usage rules.
Technical details
The model gateway abstracts the provider. The organization defines which model each profile uses; switching models changes nothing for the people using it.