Place the workload.
Keep the control.
Run Frozion in your own data center or your AWS, Azure or Google Cloud account.
Restricted work stays on private models inside your boundary. Approved managed models handle only the inputs their task is allowed to use. An outage never permits a route your rules prohibit.
Your own dedicated Frozion instance, deployed in your data center or cloud account.
Private and hybrid deployment across your adoption path
Govern existing agents
The tool calls your agents make are governed inside your own data center or cloud account.
Grow tools into workflows
Each step uses a private or approved managed model, whichever its data allows.
Build native agents
Agents you build use only the models their data is allowed to reach.
Build systems of engagement
Apps for employees, customers, vendors and partners run on your infrastructure, under the same rules.
A private model is one part of a private application.
Frozion connects the data, tools, people and evidence around a model call to the same workload rules. Your application keeps its boundary through approvals, waits and fallback paths.
The whole path stays connected.
Data preparation, model calls, workflow state and evidence share the controls of the application.
Failover cannot widen permission.
A shortage or outage cannot make a prohibited route available to restricted work.
Choose providers by the work.
Private and approved managed models participate in the same process, using only the inputs each task allows.
Privacy that covers the whole decision,
not just the model.
A private model is one part of a private application.
Frozion holds your boundary across the governed path: the data going in, the models and tools, the people who approve, and the record left behind.
Your boundary holds before and after the model runs.
Data & context
Operational records, retrieval, knowledge relationships, calculated facts and the data the decision uses.
Tenant, purpose, classification and source permissions are checked before governed data use.
Models & services
Private inference, managed models, deterministic capabilities, API calls and tools.
Frozion checks the task, permitted inputs and approved route before the call.
People & business effects
Review packages, approval, delegated workloads and system-of-record updates.
Approvals are bound to the exact version reviewed, and policy is checked again right before the change is written.
State & evidence
Durable state, documents, protected references and retained execution evidence.
Evidence is tamper-evident and exportable. Reviewers and auditors inspect it within their permitted scope.
See the connected data path.
Inspect the data, tool calls, decisions and evidence connected through Frozion. A private model alone cannot show you the surrounding process.
Failover cannot break your rules.
A backup is used only if it is approved for the task and its data. Being available is not enough.
Set controls once for every environment.
Authority, contracts and policy live in the application, so a change of infrastructure does not mean rebuilding its controls.
Every task runs only
where it’s allowed to.
The workload’s rules define where it may run.
Frozion chooses from the approved routes for the task and its inputs. If none is available, the work waits or follows its defined alternative. Availability never overrides permission.
Try it: pick a task and a condition.
DP-RECEIPT v3
Classifies the receiving note inside your boundary.
Ready to evaluate.
Pick a task and a condition to see where it may run and what happens next.
No route has been selected for this combination.
No placement evaluation recorded for this selection.
The public-help task uses only its approved public instruction. It receives no invoice records, excerpts, identities or private context. The permission check follows the actual input.
When a route fails,
the boundary still applies.
An outage never moves data somewhere it is not allowed.
Frozion keeps the task inside its approved boundary. An alternative must fit both the work and its data; otherwise the workflow retains the case while it waits or follows its defined alternate path.
Work waits for an allowed model.
The workflow retains the case while private capacity is unavailable. Restricted inputs stay inside the approved boundary.
The record shows why it waited.An alternative is used only if it qualifies.
The alternative must satisfy the task contract, current authority and permitted inputs before the call.
It must do the job and be allowed to see the data.Or the work takes the path you defined.
Permitted human review, a suitable local calculation or an exception path keeps the unresolved work explicit.
The task still does what it was meant to do.Work that does not need a model keeps going when models are down.
Exact queries, calculations and rules continue while their data, authorization and runtime remain available. A step that needs model interpretation waits or takes its defined alternative.
See how work survives failuresInvoice r5 and PO r2 remain available locally. Exact arithmetic returns 2.0% variance without model inference.
Arithmetic cannot replace the required interpretation. Wait or use the permitted reviewer path; preserve the unresolved obligation.
The workflow makes its exact calculations, model-dependent steps and permitted alternatives explicit. Source data, identity, storage and other services still determine which paths are available in your deployment.
Change providers
without rebuilding your controls.
Run each workload where it fits: your private data center, or your own AWS, Azure or Google Cloud account.
Your application keeps its identity, contracts, policy and evidence as approved providers change. Specialist services remain part of the process without defining the whole application.
Your data center.
Restricted work and private models run in facilities you control, colocation included.
Your cloud account.
Frozion runs in your AWS, Azure or Google Cloud account, next to the services you already use.
Approved managed models.
A managed model sees only the inputs approved for its task. Restricted work stays on its private route.
Hybrid.
Private models, managed models, rules and people work in one governed workflow.
Swap a model or provider.
Everything around it stays in place.
Identity, delegation, application state, contracts, policy and evidence stay connected. Your team validates the replacement for the task before switching.
See how models are chosenAdd your own providers and services
- Compute & serving
- Your existing infrastructure, approved endpoints and model servers remain connected to the application.
- Cloud-native services
- Provider services you add have clear rules on the tasks and inputs they may handle.
- Network & identity
- Your network controls, enterprise SSO and cloud IAM remain part of the deployment.
- Data & telemetry
- Your data platforms stay the source, and the application’s evidence stays in your deployment.
Buy private capacity only for the work that needs it.
We map the work that must stay private alongside tasks that may use approved managed models, calculations or human review. Together, we plan for the whole process, including retries, validation, evidence and running costs.
These are the measures we plan with you, not benchmarks or promised savings. Rules engines and your own compute consume resources too.
Keep the decision connected to its evidence.
Inspect the workflow, the permitted inputs, policy decisions, approvals and reported outcome together. Evidence stays tied to the business case that used it.
Your environment. Explicit connections.
Deploy in your data center or your own AWS, Azure or Google Cloud account. One deployment can govern connected agents and systems across clouds, with approved inputs and routes for each task.
Questions security
and architecture teams ask.
Clear answers about private boundaries, provider choice and what continues during an outage.
Choose where AI runs.
Keep every rule in force.
Bring one sensitive workload. We’ll map where its data goes, show where it is allowed to run, and show what keeps working when a model is down.