Blog

Insights and updates from Instill AI

Forest plot generated in R from Instill AI Collection export data, showing effect sizes of exercise interventions on depression across 11 randomized controlled trials

April 20, 2026 Insight

From Cited Evidence Tables to Forest Plots: Meta-Analysis with AI-Extracted Data

Turn citation-backed systematic review extraction data into paper-ready outputs — forest plots in R, PRISMA tables, subgroup analyses, and living-review updates via MCP integration.

Instill AI Collection table showing 15 research papers with AI-extracted metadata, PICO assessments, and screening decisions for a systematic review on exercise and depression

Moto Mo

April 16, 2026 Insight

Systematic Review with AI: Screen and Extract Data from Research Papers in Minutes

Learn how AI-powered structured tables replace Excel-based data extraction after screening — with source citations, dual-reviewer workflows, and analysis-ready output for systematic reviews.

Xiaofei Du

April 11, 2025 Update

A Deeper Look at Instill AI

Curious about how Instill AI works? Let's walk through how it transforms your data into meaningful information

Xiaofei Du

April 2, 2025 Update

Introducing the Beta Release of Instill AI

We're live! Instill AI beta is here — a new chapter for smarter, simpler, and more persistent knowledge work

George Strong

March 3, 2025 Insight

DeepSeek R1, Diffusion Models, and Multi-Agent Systems

From System 1 to System 2: How test-time compute is disrupting AI

Photo by Volodymyr Hryshchenko on Unsplash

Xiaofei Du

February 23, 2025 Insight

Done Asking and Forgetting?

Why chatty AI falls short on documents—and how tables are the real MVP for knowledge management

George Strong

December 13, 2024 Insight

How to Build Reliable and Transparent AI Solutions with LLM-Based Evaluations

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.

George Strong

November 28, 2024 Insight

The Best Way to Parse Complex PDFs for RAG: Hybrid Multimodal Parsing

Discover the best way to make complex PDFs AI-ready for Retrieval-Augmented Generation, from LlamaParse to Hybrid Multimodal Parsing with Instill VDP.

George Strong

October 21, 2024 Insight

How Web Crawlers Extract and Transform Unstructured Web Data for AI Applications

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.

George Strong

August 28, 2024 Insight

The Best Way to Generate Structured Output from LLMs

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.

George Strong

July 18, 2024 Insight

Building Better AI: How Modularity Shapes Successful AI Solutions

Learn why modularity is vital for success in the dynamic landscape of AI, and how we embrace this principle at Instill AI.

Xiaofei Du

February 3, 2022 Insight

Missing Piece in Modern Data Stack: Unstructured Data ETL

To fix the broken value chain in the modern data stack for unstructured data, we propose integrating with a component, named unstructured data ETL.

Ping-Lin Chang

January 16, 2022 Update

Why Instill AI exists

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.

Stop re-reading. Start knowing.

Turn scattered documents into structured knowledge — fast. Results in your first session, not your first quarter.