Awarity harnesses LLMs to provide dependable synthetic reasoning over extremely large datasets, surpassing the capabilities of conventional models.
With it’s Elastic Context Window (ECW), Awarity is able to reason over datasets 100 times larger than industry leaders like OpenAI.
Better, Awarity is able to run on prem or in your cloud so your data stays safe where it already is.
The Current Problem
Limited Project Size
Modern LLMs like ChatGPT can reason over 512MB (128k tokens) of uploaded data. Most data rooms or reports are multiple gigabytes.
Private Data Becomes Public
LLMs like Amazon Bedrock use your documents to train their models. This means your information might be your competitor’s information
Hallucinations & Errors
Results are often flat-out wrong and the more you argue with the LLM, the worse the result becomes Worse, the longer the doc, the more near-sighted the LLM becomes
The Solution: Awarity
Elastic Context Window
Rather than the 1-2m tokens engines like Gemini support, our groundbreaking engine supports 10m tokens on any GPT-4 class model.
We’ve hit 100m tokens in the lab
Your Data, Your Cloud
Awarity runs on your commodity infrastructure or private cloud and can use virtually any LLM you chose. Your data stays private
Synthetic Reasoning
Because of context window limitations, most engines suffer from “near-sightedness”. They show the model a fraction of the content. Awarity, with the Elastic Context Window (ECW), can show 100% of the content for perfect 20/20 vision
Key Features
Use Cases
01
Private Equity
Streamline due diligence efforts
02
Private Family Offices
Ensure confidential information remains private
03
Venture Capital
Enhance decision-making process with private reasoning