Sage2 gives developers APIs to extract structured data from natural language and make streaming decisions as conversations evolve. Extract values like dates, amounts, and durations, track changing user intent, and build applications that know what to do next.
Sage2 by Levanto helps developers turn natural-language conversations into structured data and real-time decisions.
Key features:
Structured data extraction: Extract details like dates, amounts, times, and durations from conversations.
Source-linked results: See where each extracted value came from in the original text.
Streaming decisions: Get updated decisions as a conversation evolves, without resending the entire conversation.
Multiple questions: Track up to 32 questions in a single streaming session.
Reasoning, web grounding, and vision: Additional capabilities available in beta.
How it works: Extract the customer's requirements, use your application to find relevant options, and let Sage track whether the customer is ready to proceed. Your application handles validation and executes the next action.
Who it's for: Developers building AI agents, conversational applications, sales and support automation, document-processing systems, and other workflows that need to act on natural language.
The source-linked results are the part that caught my eye — most extraction tools hand you a confident value with no way to check it. Curious how it handles corrections mid-conversation though: if someone changes their order twice in one chat, does the extracted value get revised with a new source link, or does the first extraction stick? That's the case that always trips me up when I build on top of chat data.
we score buying intent from chat messages at our agency and the hardest case is always the guy who sounds ready, then asks for a discount and vanishes lol. does sage attach some kind of confidence to the ready signal
About Sage2 by Levanto Labs on Product Hunt
“Turn live talk into structured data and instant actions”
Sage2 by Levanto Labs launched on Product Hunt on November 8th, 2026 and earned 210 upvotes and 3 comments, earning #2 Product of the Day. Sage2 gives developers APIs to extract structured data from natural language and make streaming decisions as conversations evolve. Extract values like dates, amounts, and durations, track changing user intent, and build applications that know what to do next.
Sage2 by Levanto Labs was featured in API (98.8k followers), Developer Tools (522.7k followers) and Artificial Intelligence (483.2k followers) on Product Hunt. Together, these topics include over 241.5k products, making this a competitive space to launch in.
Who hunted Sage2 by Levanto Labs?
Sage2 by Levanto Labs was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Sage2 by Levanto Labs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sage2 by Levanto helps developers turn natural-language conversations into structured data and real-time decisions.
Key features:
Structured data extraction: Extract details like dates, amounts, times, and durations from conversations.
Source-linked results: See where each extracted value came from in the original text.
Streaming decisions: Get updated decisions as a conversation evolves, without resending the entire conversation.
Multiple questions: Track up to 32 questions in a single streaming session.
Reasoning, web grounding, and vision: Additional capabilities available in beta.
How it works: Extract the customer's requirements, use your application to find relevant options, and let Sage track whether the customer is ready to proceed. Your application handles validation and executes the next action.
Who it's for: Developers building AI agents, conversational applications, sales and support automation, document-processing systems, and other workflows that need to act on natural language.
Explore Sage2
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends