Snowflake Summit 2025 concluded on June 5, but the discussions and innovations are just getting started. Here’s an overview of the major updates and sessions relevant to building with agentic APIs and Visual AI.
If you missed us or want to schedule a follow up free consultation with experts to dive into your specific use case, schedule a call with us.
1. Agentic Document Extraction (ADE) on Snowflake Marketplace
Agentic Document Extraction (ADE) is now available as a Snowflake Native App. This API-driven solution is designed for developers who need to parse complex documents at scale.
Key Technical Features:
No-template setup: Layout-aware, context-driven extraction without predefined templates.
Visual element capture: Extracts charts, tables, checkboxes, and form fields—not just plain text.
In-place processing: Runs directly within your Snowflake account, eliminating data movement.
Integration: Works with Cortex Search, Cortex Agent, and Notebooks.
RAG pipelines: Enables Retrieval-Augmented Generation workflows and vector search with traceable outputs.
Use Cases:
ADE is particularly well-suited for workflows requiring high transparency and auditability, such as KYC, loan processing, and medical records management.
Agentic Document Extraction on Snowflake
2. Andrew Ng’s Dev Day Talk: Enabling Everyone to Build with AI
Andrew Ng’s keynote focused on democratizing AI development. He highlighted:
Newly available building blocks: Large language models and AI-assisted coding tools.
Rapid prototyping: Demonstrations showed how these tools enable faster application development.
Best practices: Guidance on integrating these blocks into production workflows.
3. Case Study: Using Images and Documents to Improve Quality, Productivity, and More
Erica Gilbert, Customer Success Engineer at LandingAI, covered a range of technical topics including object detection, tracking and advanced document extraction.
Marianne Halloran, Data Science Manager at GenMark Diagnostics, presented a 2024 project using a Visual AI platform to automate defect detection in a microdispensing process.
4. Visual AI in Consumer Goods: Quality and Experience
Quinn Killough, Visual AI Specialist at LandingAI, discussed:
Production line quality control: Using Visual AI to improve efficiency, quality, and safety while reducing costs.
Consumer applications: Enhancing user experience and product maintenance.
Deployment challenges: Best practices for scaling Visual AI in consumer goods.
5. Featured Article on Forbes
In a recent article, Forbes highlights how LandingAI is transforming document handling across industries:
Agentic Document Extraction (ADE): Now available on Snowflake Marketplace, enabling organizations to extract, interpret, and structure complex visual data.
Benefits: Faster processing, reduced compliance risks, and improved engagement.
6. LandingAI Named Partner of the Year!
LandingAI was named Snowflake’s Startup Program Data Cloud Product Partner of the Year! 🎉
We’re thrilled to be recognized for our contributions to the Snowflake AI Data Cloud ecosystem, enabling customers to transform documents and images into actionable insights across manufacturing, healthcare, and financial services. Thank you Snowflake for the partnership and recognition!
Next Steps
Snowflake Summit 2025 showcased significant advancements in agentic APIs and Visual AI, with new tools and integrations enabling developers to build more powerful, scalable, and transparent workflows. For those interested in diving deeper into agentic vision technologies, expert consultations are available to discuss specific use cases and integration strategies.
Schedule a free consultation today!