From Structured Data to Forest Plot: Powering Meta-Analysis with AI-Extracted Evidence
Turn AI-extracted systematic review data into paper-ready outputs — forest plots in R, PRISMA tables, subgroup analyses, and a living review via MCP integration.
Insights and updates from Instill AI
Turn AI-extracted systematic review data into paper-ready outputs — forest plots in R, PRISMA tables, subgroup analyses, and a living review via MCP integration.
Learn how AI-powered structured tables replace Excel and Covidence for systematic review data extraction — with built-in audit trails, dual-reviewer workflows, and analysis-ready output.
Curious about how Instill AI works? Let's walk through how it transforms your data into meaningful information
We're live! Instill AI beta is here — a new chapter for smarter, simpler, and more persistent knowledge work
From System 1 to System 2: How test-time compute is disrupting AI
Why chatty AI falls short on documents—and how tables are the real MVP for knowledge management
Discover how to evaluate AI systems without ground truth labelled data using three key LLM-based metrics, and how they can be used to understand, optimize, and suppress hallucinations in your RAG pipelines.
Discover the best way to make complex PDFs AI-ready for Retrieval-Augmented Generation, from LlamaParse to Hybrid Multimodal Parsing with Instill VDP.
Discover how advanced web crawlers simplify the extraction and transformation of unstructured web data, enabling AI applications to thrive. Learn how Instill AI automates the web data ETL process for more efficient AI-driven insights.
Benchmarking LLM structured output performance with OpenAI, Instructor, Marvin, BAML, TypeChat, LangChain, and how to overcome reasoning deficiencies using a multi-step Instill Core pipeline.
Learn why modularity is vital for success in the dynamic landscape of AI, and how we embrace this principle at Instill AI.
To fix the broken value chain in the modern data stack for unstructured data, we propose integrating with a component, named unstructured data ETL.
We aim to build tools to streamline the process of distilling the value of unstructured data across all stakeholders in the modern data stack, to ultimately benefit all-size organizations.
Turn scattered documents into structured knowledge — fast. Results in your first session, not your first quarter.