The material your company already has comes into the conversation, the work that repeats runs on its own on the board, and the step that changes something outside waits for a person, all inside the same space.
Your data and the leading AI models in one place, agents on the repetitive work, every channel in one inbox, and governance over all of it.
Drag the line and compare the day the information is scattered with the day it answers.
Scroll and watch the same space change screens, one chapter at a time.
Someone asks in the words they use every day and the answer comes from what the company has already written, with the document and the page in plain view to check on the spot.
Contracts, policies, spreadsheets and even the recording of a meeting sit in a Knowledge Base folder, and the conversation starts answering from that folder.
The tables your company already maintains arrive through a ready-made connector or the API and are read where they live, instead of becoming a copy nobody trusts.
What happens every week starts happening without anyone remembering it, and the team finds the draft waiting when they sit down.
When the next step leaves the company it stops and waits for whoever answers for it, with the reason in plain view of the person deciding.
Chat, dashboards and channels carry the applications to people, inside each team's routine.
Agents work together on the tasks, with people leading the decisions and the exceptions.
Processes gain a sequence and a context, respecting the company's rules and approval points.
AI models give the agents their capability, with the choice configured for each application.
Systems, databases and APIs connect to the platform, within the scope agreed for each integration.
The tables in your systems and the knowledge base bring spreadsheets and documents together, giving the applications their context.
Permissions, human approval and traceability follow the work across every layer.
Access controls and credential protection are part of the architecture, with data conditions assessed in each deployment.
We pick together a process that takes your team's time today and start there.
The documents and tables that process already consults come in through a ready-made connector or the API.
The people doing the work start finding the draft ready, and every step stays on the record.
Instead of a slide deck, we walk together through a piece of work your team does today.
We start from a process in your company, not from a script.
No commitment, and you leave with the path mapped out even if you do not go ahead with us.
On TVBluey, the company behind Synapse, on TECH SC by Globo NSC
We start from a process in your company to show how data, agents and human review take part in the work, and along the way the sources and integrations it needs come into view.
No. You connect what is already in use, through a ready-made connector where one exists for that system or through the API, in both directions, and synced tables are read with no change at the source.
From the material you put in and the tables you connected, and it comes with the document and the page behind it, so you can check before you use it.
You do. Each person sees what their permission allows, any step that leaves the company can require approval, and the record shows who decided what.
The proposal covers the platform scope, the AI usage and the support for adoption, and the requirements are assessed before anything is signed.
Bring a process that takes your team's time and we walk through the sources, the agents and the decisions it asks for.
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