Platform Overview

Build Complete AI Applications On One Shared Application Model

Design the experience your users work in, give every decision the right governed data and context, orchestrate AI, tools, policy, and people, and carry the process through durable business action and evidence.

Frozion connects those responsibilities through one Shared Application Model so teams can build the application as one system rather than rebuilding identity, policy, state, and evidence between separate tools.

Connected data services and application layers sharing a central application model.
One application definition
Governed data and context
Continuous Authority
Durable execution
Inspectable behavior
Evidence

Build the application around the business outcome

A useful enterprise AI application rarely ends with an answer.

Users may need to search for information, inspect a business record, ask questions, analyze evidence, make a decision, involve another person, wait for an event, update another system, resolve an exception, and later understand exactly what happened.

Frozion gives teams one platform for that complete path.

purpose-built dashboards and workbenches
decision-ready context
policy before consequential actions
durable long-running workflows
external business actions
evidence behind the outcome

One Platform. Three Connected Responsibilities.

Frozion separates three responsibilities while keeping them connected through one Shared Application Model.

App Builder

Build the experience around the work. Create dashboards, portals, forms, cases, queues, approval screens, evidence views, and administration experiences that operate on the same application model as runtime.

What this gives your team: Turn AI capabilities into complete operational software.

Explore App Builder
AI workflow in an application interface
App Builder: user surfaces connected to identity, context, policy, state, and evidence.

AI Control Plane

Define how the application behaves and what it is allowed to do. One execution model coordinates deterministic logic, AI, tools, policy, approvals, events, callbacks, retries, humans, reusable subflows, and external actions.

What this gives your team: Workflows remain governed when they cross AI, APIs, people, events, and time.

Explore AI Control Plane

Right capability for each step

1
Query
2
Calculation
3
Rule
4
Specialized
5
Model
6
Human

AI Data Plane

Give every decision governed access to what it needs to know: operational data, retrieved knowledge, Context Assembly, calculated features, knowledge relationships, durable state, cache, memory, provenance, and evidence.

What this gives your team: Decision-ready information without flattening every data responsibility into a vector index, prompt, or generic cache.

Explore AI Data Plane
AI data plane circuit board
AI Data Plane: governed data, context, knowledge, state, and evidence.

See one application move across the platform

A supplier requests a new payment account before an invoice is released. The same application moves through all three platform responsibilities without becoming three independent systems.

App Builder

Present the business process

The reviewer sees the supplier, existing account, requested change, invoices, documents, risk indicators, status, and pending actions.

AI Data Plane

Assemble the information

Retrieve eligible records, calculate facts, traverse relationships, assemble context, and preserve provenance.

AI Control Plane

Govern the decision and action

Coordinate deterministic checks, AI analysis, policy, tool calls, human review, durable waits, authentication, and writeback.

Human work

Involve the reviewer

The reviewer works with the same business record, evidence, policy conditions, proposed change, and application state.

Durable execution

Continue the execution

If another approval or callback is required, execution waits durably and resumes later without losing authority or operation identity.

Evidence

Preserve the evidence

The Context Package, calculated facts, policy decisions, approval state, action receipts, and resulting effect remain connected.

Experience -> Context -> Decision -> Policy -> Human Judgment -> Durable Execution -> Action -> Evidence

One Shared Application Model keeps the application connected

The three modules work together because they share the same application semantics.

[1]

The user experience

Pages, forms, dashboards, conversations, workbenches, queues, and evidence views.

[2]

The data contracts

Schemas, business objects, queries, mappings, APIs, calculated features, documents, and relationships.

[3]

The execution

Execution Graphs, nodes, edges, subflows, events, models, tools, deterministic capabilities, and external actions.

[4]

Identity and authority

Users, workloads, tenants, roles, delegated authority, taxonomy, purpose, assurance, and scope.

[5]

Governance

Policies, obligations, approvals, enforcement points, and permitted capabilities.

[6]

Context

Operational facts, retrieved evidence, features, prior state, memory, instructions, and history.

[7]

Durable state

Execution instances, waits, callbacks, attempts, approvals, operation identities, and recovery state.

[8]

Evidence

Versions, provenance, decisions, approvals, attempts, receipts, effects, and causal relationships.

Make governance part of the application your teams can inspect

Important controls should remain visible to the people responsible for them. Visual Architecture keeps critical application semantics connected to execution.

01
Visual Policy Builder
02
Orchestration Studio
03
Schema Builder
04
Execution Graph

Understand outcomes through application evidence

Component telemetry explains what software emitted. Application evidence answers what information influenced a decision, which policy version ran, whether human review was required, and what effect occurred.

Behavior Intelligence exposes that history in business terms.

Explore Behavior Intelligence

Work with the enterprise systems you already have

A shared application model does not require one physical engine. Identity providers, databases, data platforms, APIs, model providers, external applications, and infrastructure services can each continue doing what they do well.

Benefit: Extend the architecture you already own without allowing each component to become another independent source of application meaning.

AI application workflow screen
Frozion adds application-level identity, authority, data contract, context, policy, state, versions, actions, and evidence.

Explore the platform architecture

1

App Builder

Build the user experience.

Explore App Builder ->
2

AI Control Plane

Define and govern application behavior.

Explore AI Control Plane ->
3

AI Data Plane

Provide governed data, context, knowledge, state, and evidence.

Explore AI Data Plane ->
4

Identity & Security

Carry authority and least privilege across the application.

Explore Identity & Security ->
5

Private & Hybrid AI

Control deployment and inference routes.

Explore Private & Hybrid AI ->
6

Developer Extensibility

Connect custom code, services, models, and external technologies.

Explore Developer Extensibility ->

Build One Application On The Complete Platform

Bring Frozion an enterprise AI application, workflow, knowledge, or data problem. We will map the experience, data, context, AI, execution, human judgment, identity, policy, durable state, business actions, and evidence required to make the complete application work.