Giving AI access to your most sensitive systems is only safe when every request, answer, and action is controlled.

Understanding How the Ontology Functions

Business Model

Control what every user and agent can access

Scope access to the data, models, capabilities, and actions each identity is authorized to use.

Analyst

Regional manager

Replenishment agent

Pricing agent

External partner

Data

Models

Capabilities

Actions

Full

Scoped

None

Data & Logic

Control how AI operates

Denzing grounds agents in business context and constrains execution through rules and permissions.

Grounded, not guessed

Every answer and action starts from governed objects, definitions, and permissions in the ontology.

Scaffolded, not improvised

Plan, act, observe, verify: every run happens inside a harness of tools, evaluations, and guardrails, against the ontology.

Observe

SKU-4417

Plan

Tools

Evals

Act

Verify

Registered actions only

Preconditions, approval limits, write-back, and a permanent audit log: every change takes the same path.

trigger_reorder

SKU-4417

Audit → 2026-08-27T14:02:41Ztrigger_reorderapproved

Preconditions

Approval Gate

≥ $10K → Buyer

AI Model

See how AI behaves in production

Monitor runs, replay execution, investigate failures, evaluate outcomes, and maintain a traceable record.

Thread replay · RUN_4417

T+17.2s / 23.4s

01 LLM

plan the replenishment

1.2s

02 TOOL

read_ontology · sku, supplier, location

1.4s

03 LLM

choose forecast horizon

0.9s

04 TOOL

run_forecast · SKU-4417

2.0s

05 LLM

draft reorder proposal

1.1s

06 SQL

SELECT on_hand, reorder_point FROM inventory …

5.5s

07 SQL

SELECT lead_time FROM suppliers WHERE id = …

warn · seq scan

3.9s

08 LLM

reconcile against open POs

1.0s

09 ACT

trigger_reorder · routed to buyer

0.2s

llm 4.2s

exec 13.0s

2 tools · 3 queries · 1 warning

run_4417 · held at approval

0%

Cross platform visibility

Encryption by default

Protect sensitive business data while it moves between systems and while it is stored.

Secure every environment

Separate tenants, services, and systems with controlled boundaries.

Access stays permissioned

Users, applications, and agents only access the data, objects, and actions their roles allow.

Everything stays accountable

Policies, approvals, and audit trails keep AI decisions and operational actions traceable.

Model retail the way it actually works.

Denzing turns fragmented retail data into a connected model of your business, with entities, relationships, metrics and rules that reflect how retail really operates.

Security starts with the data.

Business context stays protected in transit and at rest, with controlled boundaries around the systems and information Denzing connects to.

RelationshipAccess follows identity and role.s create context.

Users, applications, and agents only see the data, objects, and capabilities their permissions allow.

Every action stays accountable.

Policies, approvals, and audit trails govern what AI can recommend or execute, while keeping every decision and action traceable.

Frequently asked questions

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Newsroom

Go to newsroom

Turn your business context into action

Connect your data, define how the business works, and give AI the context to analyze, decide, and act with confidence.

Get Started Contact