In 2023, one European company in twelve used artificial intelligence. In 2025 it was one in five, according to Eurostat data on enterprises with at least ten employees, and the pace is picking up. Those who start now build an advantage; those who wait will have to catch up.
sinapseagent.ai is our answer: a team of specialized AI agents that takes on a company's tasks and sees them through, day and night. You assign the work and approve the results.
A team, not a chat
Sinapse Agent is not an assistant you ask questions. It is a team of 18 AI specialists, each prepared for one kind of work: data entry, reading attachments and invoices, reporting, dashboards, customer support, presentations, documents, websites, applications, code, monitoring.
You assign work the way you would to a colleague, on a task board: "Import today's orders into the ERP", "Prepare the weekly report", "Extract amounts and due dates from the invoices". The team picks it up, carries it out and hands it back to you verified.
- AI specialists in a single team
- 18
- AI models verify every decision
- 3
- at work, even when you're not there
- 24/7
- data and processing in Europe
- EU
What happens when you assign a task
Five systems work behind every task, always in the same order.
- 01Who does it? Three AI models vote on the right specialist for the task.
- 02With what method? Clear phases: analysis, execution, your approval, verification.
- 03With which engine? The system picks the agentic loop and the models best suited to the job. You don't have to choose anything.
- 04What does it already know? It recalls instructions and decisions from your company's memory.
- 05Where does it work? In an isolated microVM with a dedicated kernel, started in under one second.
Quorum Engine: three AIs decide, the majority wins
A single model can be wrong with great confidence. That is why every important decision goes through three independent models: who to assign the task to, and whether the goal has really been reached. It takes two votes out of three, every vote is recorded and no task closes without verification.
Flow Engine: first the plan, then the work
Every task follows traceable phases: analysis and plan, execution, your approval, verification of the result. At the steps that matter the team stops and waits for your go-ahead: nothing is written to your systems unless you have approved it.
One team, the best engines
Each agent works with the agentic loop best suited to its job: our own, Codex from OpenAI, Claude Code from Anthropic, or Pi, which is open source. An orchestration system with a unified driver coordinates them as a single team: same tools, same skills and same rules, whatever the engine. The agents hand work to one another and finish it together.
Continuum Memory Engine: it remembers everything about your company
Instructions, documents and decisions stay in the project's memory. At the start of every task the team recalls what it needs; at the end it saves what it has learned. If a customer uses a different price list, you only have to say so once. Successful work becomes expertise, which is why starting earlier builds an advantage.
From ideas to working tools
The team doesn't just execute: it builds. Applications, dashboards, presentations, PDF documents and websites start from a request and are changed with a comment, with safe versions and restore.
You don't need an IT department to publish. You ask for a change, the team prepares a preview with a copy of the data, you look at it and confirm: the platform takes care of build, checks and release. The previous version stays ready in case you need to roll back.
The agents also use the tools you already have: email, calendar, documents, spreadsheets and repositories are connected just once, and internal systems are reached from the company network, over VPN.
Enterprise security, in every plan
- Data in Europe: data and processing stay in the European Union.
- Real isolation: each company's agents, apps and builds run in dedicated microVMs, each with its own kernel. Nothing is shared with other companies.
- Separate access: one database per workspace and credentials kept in an encrypted vault.
- Human control: nothing is published to production without your confirmation.
The numbers
We have put the platform to the test on more than 500,000 tasks, across hundreds of different business scenarios. In one real case, a full month of supplier orders that had to be entered into the ERP by hand was closed in two days: weeks of repetitive work given back to people.
- tasks run in our tests
- 500,000+
- to enter a month of supplier orders
- 2 days
You pay for hours of work, not tokens
Just as you always have with IT consulting, you buy hours of the AI team's work in a monthly package. No tokens to estimate and no surprises on the invoice: spending is predictable and the budget is planned like any other business line item. The hours measure the agents' work, not the time you spend on the platform.
By token
- You pay for fragments of text
- A different bill every month
- A budget that is hard to estimate
- A price for every model
By the hour, with Sinapse Agent
- You pay for hours of the AI team's work
- Monthly package, known amount
- A budget you can plan in advance
- Frontier models included
We were the first to use it
Sinapse Agent is the platform we work with every day at rwstech: code development, releases, documentation, monitoring and operations. It is the same AI team we are now putting to work for companies.
The same AI team we use, now at work for your company.
- sinapseagent.ai
- AI agents
- Products
