High-stakes decisions
deserve frontier intelligence.

Rel is a decision agent aligned to your business, grounded in your semantic model, and powered by the advanced reasoners of the RelationalAI decision intelligence platform.

Fully inside
What’s possible.
Which 5G cells will breach SLA in the next 2 hours due to the storm?

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%.

This is question 2

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.

Which 5G cells will breach SLA in the next 2 hours due to the storm?
This is Question 3

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%.

Ask about shipments, supplies, backlogs...
Which 5G cells will breach SLA in the next 2 hours due to the storm?
What price floor maximizes Q4 sports revenue without missing delivery?
What price floor maximizes Q4 sports revenue without missing delivery?
What price floor maximizes Q4 sports revenue without missing delivery?
What price floor maximizes Q4 sports revenue without missing delivery?
What price floor maximizes Q4 sports revenue without missing delivery?
Powered by Rel
customers include

How does Rel turn a mess of data into clarity?

It begins by analyzing all the tables and documents you’ve gathered inside Snowflake.

Then Rel starts to build your model.

semantic

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

Core manufacturing data structure that defines the components and quantities needed to build a finished product, enabling accurate inventory planning and cost calculations.

1.98K records • Last updated 2 minutes ago

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

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

Suddenly you don’t just have raw data — you have your company’s institutional knowledge available in minutes, not months.

Having a coherent map of your entire business means two things:

You can get answers and make decisions grounded in your semantic model.
The model isn’t static — every adjustment becomes knowledge that continuously aligns Rel to the realities of your business.
We call this “superalignment.”
Rel teaches LLMs what they
can’t learn on the web.

If Rel gets something wrong, you fix it.

Reasonable,
but feel wrong?
What’s the impact on holiday sales if shipments by our Shanghai supplier are delayed one week?
Analyzed holiday impact in four steps

A one-week delay from Shanghai-Acme affects 12 holiday SKUs totaling $3.2M in projected revenue.

With current inventory levels, you'll experience stockouts on 5 SKUs between Dec 18-24th, resulting in approximately $840K in lost sales.

Rel shows you its
reasoning.
Analyzed holiday impact in four steps
Identify Shanghai supplier's holiday SKUs and volumes
Calculate one-week delay impact on delivery dates
Assess warehouse inventory coverage during gap
Compute lost sales from stockouts
Done
And lets you enrich its reasoning, turning business intuition into a logical relationship.
(Like this retail logic for substitute products customers would actually accept.)

And it won’t forget.

Rather than restating the same thing over and over, Rel remembers.
What’s the impact on holiday sales if shipments by our Shanghai supplier are delayed one week?
Analyzed holiday impact in four steps
Identify Shanghai supplier's holiday SKUs and volumes
Calculate one-week delay impact on delivery dates
Assess warehouse inventory coverage during gap
Map product substitution patterns and cannibalization rates
Calculate halo effect losses from hero product stockouts
Compute total revenue impact including substitution failures
Done

A one-week delay from Shanghai-Acme affects 12 holiday SKUs totaling $3.2M in projected revenue.

Critical finding:
• Your hero product GIFT-001 (wireless earbuds) drives 40% of gift bundle sales through halo effect. When it's out of stock, customers abandon entire baskets—they won't accept GIFT-002 (wired earbuds) despite 85% feature overlap.

Total impact escalates to $1.4M lost revenue, not just the $840K in direct stockouts.

Consider expediting GIFT-001 via air freight ($45K cost) to preserve the $560K in bundle revenue.

Can now drive a
high-stakes decision.
Same question
asked again...

With your model in place, Rel can reason through the hard questions your other tools can’t.

Discover

• groups of users
• importance clusters
• mapping connections

with graph reasoning
Pathfinding in preview
Infer

• business qualification rules
• multiple conditions
• decision trees

with RULES-BASED reasoning
Anticipate

• demand & sales forecasts
• churn/attrition likelihood
• risk/anomaly alerts

With Predictive reasoning
Early access
Optimize

• pricing
• inventory management
• staffing & scheduling

With Prescriptive reasoning
Early access
Decisions can start with deceptively simple questions.
How should I price my smartphone accessories to maximize my profit in Q2?
Maximizing profit
means optimizing.
Infer profit from your explicit rules.
We need to anticipate how elastic prices can be.
To minimize my tariff exposure, how should I distribute my part orders across my suppliers?
Minimized costs is optimization.
Discover the shortest paths in
our supply chain.
We use rules to apply tariff regulations and infer their impact.
Anticipate customer demand.