You know who else thinks context window size is important? Claude does.
AI that reasons over datasets of any size — no RAG, no embeddings, no lossiness.
Native LLMs like Claude or ChatGPT are limited to 500k–1M tokens. Awarity can handle datasets of any size — we've tested beyond 400 million tokens.
Most AI tools require sending data to the cloud. Awarity can run on-prem or completely offline, keeping sensitive documents inside your perimeter.
RAG and other retrieval techniques are lossy by nature — they miss what they don't retrieve. Awarity processes everything, so nothing falls through the cracks.
You know who else thinks context window size is important? Claude does.
ECW is a patented technique that stretches the context window of any base model. It reads your entire catalog in parallel, synthesizes notes, and returns a single coherent answer.
Deploy Awarity inside your existing infrastructure — on-prem, air-gapped, or in your own cloud. Your data never leaves your environment.
Because Awarity reads everything, there's no retrieval step to get wrong. No embeddings, no vector databases, no lossy approximations — just accurate answers.
Awarity ships with a full UI for ingesting documents, building catalogs, running queries, and managing workflows — no CLI required.
Use the Awarity CLI to integrate document reasoning directly into scripts, pipelines, and CI/CD workflows. If you already have a workflow, Awarity can plug in.
Deploy Awarity as an Azure Function, AWS Lambda, or Docker container and call it from any application. First-class TypeScript and Node.js support.
Ready to see what Awarity can do for your organization? Reach out and we'll set up a demo.
hello@awarity.ai