A provider-agnostic “brain” (OpenAI or Claude) directs agent teams, checks the result and returns finished documents. You work in an ordinary chat.
Every feature came from real tasks, not a marketing checklist.
Word, Excel, PowerPoint, HTML dashboards — results right away in the format business uses.
For law and finance — claims and references verified against real sources before delivery.
Send tasks from your phone via a private bot with an allow-list.
Interrupt at any moment — the orchestrator stops gracefully and hands control back.
You see the dispatcher’s reasoning and the result; technical logs are behind a separate toggle.
The system builder assembles a new agent team — roles, instructions and pipeline — for a new class of tasks.
The principle “the expensive model thinks, the cheap one executes”: a powerful “brain” makes the hard decisions, while a cheaper “executor” does the routine. The same result quality — at a noticeably lower token cost.
Claude or OpenAI plans, decides and verifies — thinking where the cost of error is high.
E.g. Gemini handles volume and routine — fast and several times cheaper per token, without losing quality.
Set a new, unfamiliar task and SensFlow assembles a new multi-agent system for it: the builder designs the roles, instructions and agent pipeline from proven templates.
No limits and no extra spending on programmers, business analysts or anyone else. And all of it — within your license.
One that isn’t among the ready-made systems yet.
The builder analyzes the task and creates agents, prompts and structure.
It’s registered and keeps working. No development invoices.
The brain reads the request and the profiles of all systems, then builds a plan.
The chosen system runs the task through specialized agents in a pipeline.
An internal board checks quality, facts and references, and filters out hallucinations.
Finished files to a single output standard — ready to download.
The engine, your files and results stay on the client's machine; we never receive or store your documents. In standard mode, only what must be sent to your chosen AI provider to perform the task goes out, under that provider's terms (on paid APIs, providers do not train on your data).
For strict requirements, a fully local model is available: connect your own on-prem model (Ollama / vLLM), and the content, including documents for analysis, never leaves your perimeter at all.
While a task runs, the app keeps the machine awake — work won’t break off if the PC goes idle. And the “brain” always uses the current date and, when needed, checks against up-to-date sources rather than relying on memory.
The first 30 days are a full trial. The subscription unlocks operation, technical support and updates.
Full functionality on your tasks — with no feature limits.
A working system + technical support + updates as the product evolves.
We’ll tune systems and scenarios to your processes and data.