From Ingestion to Agents: How Leading AI Teams Build on Document Intelligence
Adit Abraham
- When
- Tuesday, June 301:30 PM – 1:50 PM · 20 min
- Where
- Track 2San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
The agents of tomorrow are only as good as the context they reason on — yet most real-world data lives in messy, unstructured documents.
In this session, we reveal the patterns that separate AI teams shipping reliable, production-grade agents from those stuck debugging pipelines.
Drawing on patterns we've seen from AI-native startups to Fortune 10 enterprises, we'll cover what it takes to transform complex documents into clean, accurate context at scale across legal, finance, healthcare and more.
From ingestion architecture to agent-ready outputs, walk away with the strategies top teams use to turn document chaos into competitive advantage.
Speaker
CEO and cofounder, Reducto
Adit Abraham is co-founder and CEO of Reducto, building an AI document-intelligence platform for parsing, understanding, and structuring complex unstructured documents for AI applications. He previously studied computer science at MIT and worked on product at Google.
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- Modality Misalignment and Originality Attribution in Short-Form Video: A Multi-Agent Approach at Platform ScaleTuesday, June 30 · 12:05 PM – 12:25 PM · Track 2
- The Best Models Still Reason Like ToddlersTuesday, June 30 · 1:55 PM – 2:15 PM · Track 2
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.