Multiuser AI at GeoTech
We help companies put AI agents to work with their teams. People talk to agents in the apps they already use. We provide the cloud computers, model connections, access controls and shared memory that make it work.
Book a 20-minute callIllustration: a simulated team thread in which a person asks for a website animation, an orchestrating agent assigns work, specialist agents build, research, design and review it, and a project manager reports that the preview is ready.
01 / Cloud Computing layer
Your agents work on cloud computers that keep their files and software between tasks. They can run code, build tools for your company and finish longer jobs in the background. Updates and results come back to your team’s chat.
02 / Interaction layer
Talk to agents in Slack, Microsoft Teams or Discord. Send a direct message or include them in a team channel. Colleagues can ask questions, review the work and see the results in the same conversation.
03 / Models layer
Choose models from Anthropic, OpenAI, Google and xAI, or use open-weight models. We help you connect the providers you need. You can switch models and keep your files and shared knowledge, so your company isn’t tied to one provider.
04 / Security layer
You decide which accounts, files and tools each agent can use. Access can differ by person or team, and credentials are stored separately from chat. Set approval rules for actions that need someone to check them first.
05 / Shared Memory layer
Save project details, decisions and preferences so you don’t have to explain them again. People and agents can use that knowledge in later conversations and check where it came from. You choose who can access it and whether it is saved on request or automatically.
In the apps your team uses
