Model how your business works. Reason over enterprise knowledge.
Operationalize decisions with Rel—our built-in decision agent—and across your own AI agents, applications and workflows.
18 cells at risk; 6 already >80% load. Rebalance to sectors A/B and cap video to 720p in ZIPs 76112–76120. Predicted drop in call‑failures: −67%.
Set floor at $14.20; revenue +8.3%, under‑delivery risk 1.1%. If $15.00, revenue +10.6% but breach risk 6.4% in weeks 47–48.
12 lots at risk; median shortfall 7%. Two levers: lower reserve by 3–5% (+$610k sell‑through) or boost bidder liquidity in TX/AB via targeted email to 4,200 lookalikes (+$480k).
Three issues stand between general-purpose AI and enterprise decision intelligence.
Tracks inventory levels, movements, and status across facilities, enabling accurate stock management, allocation, and valuation for both raw materials and finished products.
1.98K records • Last updated 2 minutes ago
Customers and accounts
Products and services
Orders and transactions
Suppliers and partners
Assets and locations
Contracts and commitments
Organizational structures
Relationships and dependencies
1.98K records • Last updated 2 minutes ago
Business rules and policies
Eligibility requirements
Operational constraints
Financial targets
Risk thresholds
Forecasts and predictions
Resource and capacity limits
Optimization objectives
304.3K records • Last updated 3 minutes ago
Core manufacturing data structure that defines the components and quantities needed to build a finished product, enabling accurate inventory planning and cost calculations.
833 records • Last updated 3 minutes ago
UNDERSTAND
Give AI shared business context.
Model the business concepts, relationships, properties, requirements, rules and derived knowledge in a shared semantic model.
REASON
Give AI the right tools for the problem.
Apply graph, rules-based, predictive, and prescriptive reasoning over the same enterprise knowledge to understand relationships, apply business logic, anticipate outcomes, and optimize decisions.
LEARN
Teach AI more about your business.
Use enterprise semantics and reasoning to specialize models through Superalignment and post-training—improving how efficiently and accurately AI works with your business.
1# Product substitution and halo dynamics
2alt = Product.ref ()
3overlap = Product.overlap_with(alt)
4define( Product.substitutes(alt, overlap) ) where ( overlap > 0.9 )
5define( Product. revenue_multiplier(1 + count (Product.bundles) * 0.4))
6
7# Delay impact
8define(Delay.revenue_impact(sum(
9Product. revenue * Product. revenue_multiplier * (1 - max(Product.substitutes))
10))). where (
11Delay.affects(Product)
12)
1# Product substitution and halo dynamics
2alt = Product.ref ()
3overlap = Product.overlap_with(alt)
4define( Product.substitutes(alt, overlap) ) where ( overlap > 0.9 )
5define( Product. revenue_multiplier(1 + count (Product.bundles) * 0.4))
6
7# Delay impact
8define(Delay.revenue_impact(sum(
9Product. revenue * Product. revenue_multiplier * (1 - max(Product.substitutes))
10))). where (
11Delay.affects(Product)
12)See how change propagates across the business.
Trace dependencies and exposure across customers, suppliers, assets, transactions, and other connected entities.
Put scarce resources where they create the most value.
Allocate inventory, capital, capacity, and other resources across competing priorities and constraints.
Apply complex policy consistently.
Evaluate requirements, rules, and exceptions in the context of each customer, transaction, asset, or case.
Know what’s likely to happen next. Anticipate outcomes in the context of the customers, products, assets, and conditions they affect.
Decide what to do next.
Evaluate the options available for a specific customer, case, asset, or situation against business objectives and constraints.
Give AI a working model of your business.
Ground agents and models in enterprise context, equip them with specialized reasoning, and help them learn how your business works.
An Ontology Management System creates, governs, executes on, and evolves a shared model of how your enterprise works.
With it, we connect semantics, relationships, rules, predictions, constraints, and decision logic in one Snowflake-native solution for Decision Intelligence.
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