Couldn’t make the RelationalAI session at TechUp, or want to revisit it with an account in mind?

Everything from the session is here in one place: the full recording, presentation deck, hands-on Agent Skills quickstart, qualification guidance, and next steps for bringing RelationalAI into an opportunity.

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1. Watch the full TechUp session

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Watch the full session

The recording includes the RelationalAI presentation, Max’s Cortex Code + Agent Skills demo, and the Snowflake Q&A.

What you’ll leave with:

• Explain where Decision Intelligence fits in the Snowflake stack.
• Recognize when a customer problem is a strong fit.
• See how quickly you can prototype a use case with RAI Agent Skills.
• Know when to bring RelationalAI into the account.

Prefer the slides?

[link to the TechUp deck?- @ATTN:team]

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2. Try it yourself

A. Download the RelationalAI Native App from Snowflake Marketplace

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B. Try a quickstart guide

Grab the RAI skills → install them in Cortex Code → pick a use case your customer cares about → ask CoCo to implement it → ELI5 → visualize it → pick another one

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3. Know what to look for

• A Cortex Analyst, CoWork or copilot pilot impressed people, then stalled on real business questions.
• The decision spans several systems or domains.
• The customer needs graph, rules, prediction or optimization in addition to SQL.
• Important decisions still require people to reconcile systems, definitions, policies or constraints by hand.
• A regulator, auditor or executive needs an answer that has to be consistent and defensible.

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4. Where RelationalAI fits with Snowflake

Snowflake provides the governed data, compute, semantics and agent surfaces. RelationalAI adds an executable ontology and advanced reasoning over that shared model.

That means graph traversal, rules, prediction and optimization can operate over the customer’s business model while staying inside the Snowflake environment.

Customer asks: “Isn’t this Horizon Context?”

Horizon Context governs what things mean. RelationalAI adds the computation needed to reason across those meanings: graph, rules, prediction and optimization.

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5. What this looks like in an account

Snowflake provides platform scale while RelationalAI contributes the ontology and reasoning layer.  

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6. Your turn- pick one account

Think of one account where an important decision is still hard to make cleanly? We’ll help you determine whether it’s a fit and bring a RelationalAI solution architect into the qualification conversation.

You can also email

Tom Jenkins
tom.jenkins@relational.ai

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