Real data, not a guess
Every agent reads from its own team's live database, files, and knowledge base, not a stale upload someone remembered to attach to a prompt, and not a guess dressed up in confident language.
The Data Plane is Syntherion's foundation, not a feature. Every team gets a full silo: its own schema, compute namespace, credential vault, and file storage, isolated the same way, enforced the same way, everywhere. Two problems disappear at once: the generic, ungrounded AI slop that comes from a chatbot with no real access to your company's data, and the security exposure that comes from every team's data sitting in one shared pile with a permissions filter on top.
A silo for every team.
Under every agent, table, and knowledge base sits the Data Plane: a real physical silo for every team. Its own database. Its own compute. Its own secrets. Its own files. That is why a Syntherion agent answers from your actual data instead of guessing, and why one team's data never quietly ends up in another's.
A physical silo for every team, not a permissions checkbox.
Most platforms isolate teams with a filter on top of one shared database. Syntherion gives every team an actual, separate environment.
- 01
Its own database
Every team's records live in their own schema, not a shared table with a WHERE clause standing between them and someone else's data.
- 02
Its own compute
Every team's agents run in their own isolated compute environment, so a runaway process in one team's silo can't touch another's.
- 03
Its own secrets
Every team's credentials live in their own vault path. A leaked or misused credential in one team's connector cannot be used to reach another team's data sources.
- 04
Its own files
Every team's uploads and agent outputs live in their own store. Nothing shared by default. Nothing reachable from outside the silo without an explicit, audited grant.
Generic AI feels like progress, then becomes a tax.
A chatbot with no real, current, correctly-scoped access to your company's data can only ever guess convincingly. That is AI slop: confident output with nothing real underneath it. The Data Plane is what an agent actually reasons over, and the boundary that keeps one team's data out of another's.
Agents answer from real data, not a guess.
The Data Plane is what an agent reasons over: live team databases, files, and knowledge bases, kept current and correctly scoped.
Current, not stale
Sources re-sync on their own, and staleness is a visible fact on the record, never a silent assumption. An agent that can't reach current data pauses and asks a human instead of confidently answering on data too old to trust.
Scoped, not generic
An agent answers from exactly the data its team is authorized to see, not a company-wide firehose of context that produces the same vague, hedge-everything answer a generic chat tool gives everyone.
One place every team's data actually lives.
The Data Plane is where uploads, agent outputs, and shared documents live side by side: the same store your team's agents read from and write back to.
One shared library, per team
Syntherion stores your team's uploads and your agents' outputs together, inside your team's own silo, so nothing lives in a random personal folder or a shadow drive.
Files flow straight into the work
Syntherion routes files from uploads, email, and connected drives into agent runs, then delivers the results back where your team works. The same documents feed your knowledge base automatically.
Every action on the record
Syntherion logs every upload, parse, and share, permissioned like everything else in the Data Plane, so teams always know where a file came from and who could reach it.
Agents read, parse, and produce files
Agents take PDFs, spreadsheets, and docs as inputs, pull out the fields a workflow needs, and write reports, exports, and summaries back to the store, all from the same SDK a code block uses to do it in a few lines.
Isolation is what makes sharing safe.
A real silo doesn't mean data never moves between teams. It means that when it does, it is always a decision someone made, never an accident someone missed.
Nothing crosses by accident
No other team's agents, tables, or knowledge base can reach your team's Data Plane without an explicit grant that your team approves.
Everything that crosses is logged
When two teams' work genuinely needs to connect (Sales triggering a Finance workflow, for example), that access is scoped, versioned, and audited, so a boundary crossing is always visible, never silent.
This is the security story, not a slide about it
The same isolation that stops a bad actor or a misbehaving agent from reaching another team's data is what a security review actually checks for: not a policy document promising it, but a real architectural boundary that enforces it.
For enterprise procurement & AI leaders
Stop renting your automation layer.
A 60-minute briefing: we map your stack, quantify what you'd replace, and show the results live.
- 01Architecture & governance review with your security team
- 02One working agent, built during the session and deployed to a real team dashboard
- 03Attributable ROI model tailored to your processes
Executive demo
45 minutes with our architects, a hands-on walkthrough against a process you actually care about.
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