Dropstone

🙌🏻 🙌🏻 🙌🏻 🙌🏻 🙌🏻 Congrats on the launch!

Fun to see another AI memory system launching today. Different angle from what I’m building with Wild Static, but clearly we’re both working on what comes after context. Congrats on the launch!

Love the Model auto select feature idea! How does the CI Pipeline work? where does it live?

Congrats on the launch day!

Here are a few key features worth highlighting in this thread:1. What’s in it for enterprise?Dropstone is built for companies that need the power of AI while keeping control of their data.Dropstone can be deployed within company-controlled environments, including on-premises infrastructure, private clouds, and highly restricted environments. This means sensitive data can remain within the organization’s controlled environment.The bigger opportunity is that companies can build and deploy AI systems across their organizations without necessarily sending sensitive underlying data to a public AI service.For enterprises, the question isn’t just what can AI do? It’s also where does your data go, and who controls it?For Sales: dropstone.io/contact

How can I join the community?If you want to be part of what we're building, you can join us on Discord:https://discord.gg/RSrPutXpXdThat's where we share updates, discuss what we're building, and hear directly from people using Dropstone.You can also sign up to receive updates by email and stay informed as we release new research, products, and announcements.We're building Dropstone in public, and the people using it, testing it, sharing feedback, and pushing us to improve are an important part of that process.

I would like to answer the question before you ask:1. What does Dropstone do differently from others?Dropstone is about ensuring that what was learned, corrected, or established in one interaction is carried forward to the next. We do not need to add a human to remember every correction. If a system is corrected or learns something important, we can capture it automatically and use it for future interactions.We’ve measured 0 → 100% held-out transfer in our internal benchmark and we continue developing and validating these results, and we hope to publish more about our methodology, findings, and what comes next at blankline.org/research. Subscribe to our newsletter there to stay up to date.