Cy-Mind Studio turns your goal into a production AI agent platform — running on the models you choose, on the infrastructure you control, governed and observed by the same engineering discipline behind our cybersecurity products.
Cy-Mind Studio isn't a no-code agent builder or a model gateway. It's a custom-built operational layer that turns a business outcome — automate, evaluate, monitor, decide, generate, audit — into AI agents that run, log, and report under your control. We design the agent topology, build the governance and observability around it, and you choose whether to operate it yourself or have us run it for you.
Most AI agent toolkits give you one. Cy-Mind Studio makes sure all three are built in from day one.
Open weights or closed APIs. Local, on-premise, hybrid, or cloud. The platform is designed for switchable models — change vendors or model classes without rebuilding.
Sovereign data stays sovereign. The infrastructure decision is yours, and it's reversible.
Every agent action is logged, policy-enforced, and hash-chained for audit. Our verify always, micromanage never design means humans intervene at decision points, not per-action.
Tickets surface to your team only when judgement is needed. Everything else is traceable, replayable, defensible.
Cydalics' network intelligence sits beneath every agent. Every model call, every external connection, every byte of data your agents touch — visible to your security team.
No blind trust. No phone-home. AI is not allowed to be a black box on your network.
Cy-Mind Studio adapts to what your organisation actually needs. A few patterns we see again and again.
Agents that monitor your digital products, sites, or services against regulatory frameworks or internal standards — surfacing gaps with evidence, not buried in dashboards. Bilingual operation when your audience is.
Agents that gather evidence across systems, generate audit-ready reports in your formats, and flag drift before it becomes a finding. Every output traceable to its source.
Agents that triage inbound communications, draft responses for human review, and surface only the cases that need real judgement — across multiple languages and channels.
Agents that turn fragmented data sources — tickets, chat, CRM, log streams, documents — into one queryable layer for your operations team. Knowledge work without the swivel-chair.
Cy-Mind Studio is built by the same team behind Cy-Mind 360 (radio frequency security) and Cy-Mind (network intelligence). The same operating principles carry over to AI.
Air-gapped, on-premise, hybrid — whatever your data governance requires, we architect to it. AI agents respect that constraint, they don't change it.
Open-source models can run entirely inside your infrastructure. Closed-source models can be brokered without your data leaving. The model choice is reversible.
Our cybersecurity products give your team ground-truth visibility into every connection your agents make — turning AI from a black box into something auditable.
We've built our own production AI agent orchestration platform internally — the operational layer behind several Cydalics engagements. We know what scales, what breaks, and what governance actually looks like in practice. That experience comes built into every Cy-Mind Studio engagement.
A measured engagement model — discovery, build, operate. No black-box deliverables.
We sit down with your teams to understand the goal, the data flows, and the constraints — operational, regulatory, infrastructure. Output: a written scope and a prototype timeline.
We design the agent topology, the governance rules, and the integration points. We choose — or you choose — the models. We build the platform on your infrastructure with full audit trail.
Run it yourself with handover and training, or have us operate it on your behalf — your choice. Operational metrics, model performance, and agent behaviour are observable either way. As your needs change, the platform adapts without rebuild.
We'll talk it through and tell you honestly whether AI agents are the right answer — and if so, what shape the platform should take.
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