_The smartest thing you can do with Cortex is reduce token usage while saving money on skyrocketing AI inference costs.
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Today, we’re releasing Cortex (www.na8ve.com), and have open-sourced the na8ve cli agent ( https://github.com/na8ve/na8ve-agent) to the general business community.
Between a model’s general intelligence and the intelligence an enterprise actually needs lies a gap of business context. Closing this gap, is at it’s core, a data problem. The next generation of enterprise AI will not be limited by model intelligence alone. It will be limited by whether enterprises can turn their data into real-time, trusted, and actionable context.
Business decisions are informed by data. Cortex gives you the context management, observability, and governance to make the right decisions.
The Scarecrow in The Wizard of Oz was not short on parts. He had straw for a body, a coat, a hat, and a face that held a smile the whole way from Munchkin land to the Emerald City. What he wanted most during the entire trip down the yellow brick road, was a brain: something that could actually think. His core pain was the belief that he lacked a brain, which made him feel foolish, inadequate, and helpless. His ultimate solution was realizing that he had been intelligent all along. Throughout their journey down the Yellow Brick Road, the Scarecrow was actually the character who consistently solved problems, devised clever plans, and displayed the most logic and resourcefulness.
Most organizational data systems are more like the Scarecrow than anyone would like to admit. They have the parts: rows, columns, indexes, and a database nailed to the rafters with straw. What most of them lack is anything that thinks with the valuable data they already have, which is different from storing and embedding search.
Some are worse off than that. They are closer to the Tin Man found rusted solid in the woods: not missing the idea of thinking, but missing the part that actually moves the organization forward; analytics and audit trails. A table with a similarity search bolted on top of a handful of embeddings, queried the same rigid way every time, is an outdated machine standing exactly where it stopped in time, waiting for someone to bring the oil can. It runs on simple SQL and simple embeddings, and it operates blindly, while machine learning and AI insights move about it with ease and rapid speed.
Cortex, an AI-native streaming datastore that thinks
Like the Wizard offering the Scarecrow a diploma to validate his intelligence, or the Tin Man a ticking heart to validate his capacity, na8ve provides organizations with Cortex, an AI-native streaming datastore for institutional memory, analytics, and auditability on top of their AI stack.
Video: https://youtu.be/zGBlLbUSo_U?si=8Fi37XlfpImbMmgz
Most institutional analytics is built the same way regardless of what it measures: something is logged, the logs are exported on a schedule into a database of static tables, and a dashboard runs search queries against those tables to answer questions about what already happened, sometimes hours after it happened.
Cortex is built differently at the foundation. Its memory is reactive: when a fact changes, anything watching that fact, the live console, an aggregate view, another AI agent working on the institution’s behalf, updates immediately, the same way the console’s brain surface repaints the instant a brain region starts working. There is no nightly export, no refresh button, and no dashboard quietly serving a copy from three hours ago while the real record has already moved on. A human brain does not need to be told to refresh. It already knows, the moment something changes, because knowing and storing were never two separate steps to begin with.
Continuous memory, with a direct view of the cognitive process
The design underneath Cortex is simple: model memory as neuronal plasticity, and stream updates to model weights directly to the console. Every screen, every presentation, and every agent works on an institution’s behalf using memory built from the organization’s data.
This opens the opportunity for true AI and organizational governance. Cortex has one memory because it holds facts that can be updated and change overtime.
Institutional memory is not incidental to Cortex. It is half of what makes Cortex worth its enterprise value. The other half is what an organization can actually do with its memories: like watching dataflow updates in real-time, querying its knowledge store at any scale from individual student-level reporting to institutional strategic planning, and letting na8ve agent serve the organization as an agentic harness to improve productivity. Everything from planning, executing, and reviewing workflows can be done because Cortex models the organization as itself, once it is trained on institutional knowledge.
Try it yourself: www.na8ve.com
The na8ve agent terminal: https://github.com/na8ve/na8ve-agent
Demos:
School — https://github.com/na8ve/case-study-school
Coding — https://github.com/na8ve/case-study-coding
Clinical — https://github.com/na8ve/case-study-clinical
Auto-Lab — https://github.com/na8ve/case-study-autolab
Biotech — https://github.com/na8ve/case-study-biotech
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