We’re now Rta Labs
“Rta is the fundamental Vedic principle of natural, cosmic and moral order that regulates the universe, including the movement of the celestial bodies, seasons and moral conduct. Derived from the root r (‘to move’), it signifies the dynamic rhythm, truth and law that governs reality.”
Rta is our guiding principle in our R&D.
The trajectory stays the same, but now fully aligned.
🌌
Our OMNI Agentic Platform was built with the foresight of agentic wave we're in now and the implications of that wave; rapid expenditure of tokens.
Current frontier models are as powerful as ever but without proper integration brings the inevitable heavier hit to your business' bottom line; you'll lose more than what you sought to gain.
Our OMNI agents are designed to keep your token usage to a minimum; by fine tuning every agent you deploy with the context you provide deemed necessary, the general intelligence provided by the AI models is now focused onto what you want for your unique workflow, with the same reasoning intelligence capabilities possessed by frontier models of today.
Your context is stored within your OMNI agentic framework as .aura data; keeping your context secure and instantaneous.
OMNI agents in your business means contextual intelligence for your business, while minimizing costs, latency and increasing flexibility.
https://t.co/M9dYoIspzt
We’re excited to announce Opus 4.8 is now available on OMNI Platform, build and deploy your bespoke agentic workflows with the latest from @AnthropicAI
https://t.co/evguMOqeqf
We’re excited to announce Gemini 3.5 Flash is now available on OMNI Platform, build and deploy your bespoke agent with the latest from @GoogleDeepMind.
https://t.co/evguMOqeqf
Here's Aura Research; built on top of our @auralithco Aura Core compiler. It's what I've been using for internal company research and my own personal research interests.
Made some tweaks to it following @karpathy's tweet the other day, and it's a game changer.
To use it: pip install aura-research, point it at a folder with all your docs relevant to your topic, let it compile, and you get a fully structured wiki with backlinked articles your LLM can actually navigate.
Any new data you add gets automatically woven into the existing knowledge base on the next compile, no manual reorganizing.
The Memory OS from Aura Core ensures your LLM doesn't forget important details no matter the scale, even as you're continuously introducing new empirical data.
Runs 100% locally. Your data never leaves your machine.
https://t.co/QQ9jRJhr1u
Looking forward to hearing everyone's thoughts.
Auralith is officially rebranding to Rta Labs 🌌
“Rta” is the Vedic principle of cosmic order and fundamental truth.
It perfectly encapsulates my vision statement for the company and what I’m setting out to achieve.
The trajectory still remains, now completely aligned in its vision.
https://t.co/Zf7O7AN3eQ
Stop building RAG pipelines just to give your LLM context.
Upload your documents → deploy an agent → choose your model.
PDFs, CSVs, DOCX, Markdown + 60 more formats supported, integrated in minutes.
https://t.co/mxhZbq4ds8
Every OMNI agent goes through a structured, end-to-end lifecycle; from data ingestion to validation to live deployment.
We don’t just “spin up agents.”
We build systems that are designed, reviewed, and deployed with intent.
Register today for more information
https://t.co/PAjbFiofkJ
Introducing OMNI.
Create your dedicated AI agent using natural language with our autonomous platform.
Tell it what you want your agent to do, it tells you what type of data it requires, you upload and click create.
That’s it.
Sign up at https://t.co/3VKbqPchaL for details
We’re in active development of our OMNI-modal model, which will be made up of 3 key models; language (OMNI-λ), vision (OMNI-Φ), and generation (OMNI-Δ). It will be the first true multi modal model that will have shared contextual understanding, natively.
Our breakthrough patent pending architecture is called FSE (Float State Native Elements), it’s a paradigm shift away from what current AI technology is built on. FSE is built entirely on continuous field dynamics, taking inspiration from our universe and its MO.