Welcome to the Curiosity blog
The Curiosity Team
Welcome — and thanks for stopping by. This is the first post on the Curiosity blog, so it feels right to start with the basics: what we build, why it matters, and what you can expect to read here.
What is Curiosity?
Curiosity is the context graph for industrial AI — a single platform that connects knowledge across your systems so AI can work in real workflows, at scale, on your own infrastructure.
Most organizations don't have an AI problem. They have a context problem. The knowledge needed to answer a question is scattered across file shares, cloud storage, chat tools, wikis, ticketing systems and databases — each with its own permissions and its own silo. Drop a large language model on top of that mess and it hallucinates, because it has no grounding. Without context, AI breaks on complex data.
Curiosity fixes the foundation first. We bring three things that are usually separate tools into one deployable platform:
A typed knowledge graph that models your data as nodes and edges with stable keys — so relationships, not just documents, become first-class.
Text, vector and hybrid retrieval that is permission-aware and fast, across everything you've connected.
Grounded assistants, embeddings and agents that are constrained by your data and your access controls — not the open internet.
From fragmented data to working AI
The result is AI that goes beyond demos and into production. Teams use Curiosity to connect systems, structure complex data, and then ask questions, get summaries, and build domain-specific assistants on top — knowing every answer is traceable back to a source they're allowed to see.
"Built for complex environments"
Curiosity runs where the data is. It's used in demanding, large-scale settings — aerospace and defense, rail and mobility, energy and infrastructure, and industrial manufacturing — by organizations that can't ship their knowledge to a third-party cloud.
A few of the places Curiosity makes a difference:
- Knowledge management — make complex knowledge accessible and usable across the organization.
- Technical customer support — resolve complex cases faster with full context at hand.
- Engineering — connect and reuse knowledge across systems, designs and decisions.
- Quality & compliance — reduce risk and stop audits drowning teams in document hunts.
Privacy-first, on your infrastructure
Curiosity connects to the tools you already use — cloud storage like S3, Azure, Google Drive and OneDrive; communication tools like Slack and Microsoft Teams; knowledge bases like Confluence and Notion; and custom sources via CSV, JSON, SQL and REST. It runs on your infrastructure, respects existing permissions, and keeps your data yours. You can even run models locally so nothing leaves your environment.
What to expect from this blog
This is where we'll share the journey:
Monthly release overviews
A digest of the most important features that shipped each month — the highlights, without the noise.
Deep dives
How specific capabilities work, and how to get the most out of them.
Notes from the team
The thinking behind what we build, and where we're headed.
We've shipped a lot already in 2026, so alongside this welcome we're publishing release overviews for every month of the year so far. Browse them on the blog home, and if you want the build-by-build detail, the full changelog has everything.
Curious? Explore the product or read the docs. We're glad you're here.