Sysnot Lab

At a glance

Prepare a brief, compare documents, create a presentation or monitor a topic. Sysnot Lab brings together an assistant, memory and tools to help you carry out that work in one place.

The assistant can look up information, examine results and continue through several steps. This is how agentic AI works. Follow what it does and step in when your approval is requested.

SYSNOT’s main product is optimised to take local AI further on your own machine or servers. It also works with services from OpenAI, Anthropic, Google, Mistral and DeepSeek through their APIs. The full version of Sysnot AI can connect to it.

Set a goal, follow the work

Ask for research, a summary or work in your connected tools. The assistant can break down the request, use available tools and build on their results. Its activity remains visible in the platform.

When delegation is enabled, several agents can share some of the steps. Limits and approval requests govern operations so you can step in at the points set for your involvement.

Pick up where you left off

Memory keeps useful information about your preferences and work. It helps the assistant pick up the context of a conversation and find relevant knowledge for what comes next.

You can also reach it through connected messaging services, including with voice messages. Conversations and memory provide continuity across sessions and configured channels.

From research to something you can use

Ask questions of your documents or explore a topic on the web. Deep research brings information together, keeps the sources and examines claims and contradictions. You have material to check the report and take your thinking further.

In the studio, use that material to create a document, presentation, image, voice or video with configured engines. Research and creation come together in the same environment.

An assistant connected to your work

Connect your notes, documents, email or calendars through available connectors. Choose which tools the assistant can access and which skills suit your work.

Schedule topic monitoring or recurring work. The dashboard brings together results, pending actions and approval requests to help you keep track of what comes next.

Take local AI further

Run AI on your own equipment. Sysnot Lab combines local models with memory, tools and agents that can share the work. Context management and settings help adapt the system to your hardware resources.

You can also use online services from leading providers with your own access keys. Choose an engine according to the work and the information you are willing to send outside your environment.

An environment shaped around your needs

Research workspaces let you test models, connect them to your documents and study how to adapt them to a specific need. They include retrieving information from your documents to inform answers, known as RAG, and experiments in adapting models, known as fine-tuning.

Long-running processing is tracked on the server. Monitoring reports incidents and can attempt limited repairs on permitted services. You retain a view of both the work and the environment running it.

Availability

Sysnot Lab is currently used within SYSNOT and evolves through that work. Opening it to the public is a future step. Available features depend on the models and services connected.