Avaaris Intelligence.

Avaaris Intelligence is committed to researching and developing engineering-specific AI agents, each built for a specific data set. An agent can be developed for information retrieval or for task generation, such as writing proposals and reports.

To reach the level of accuracy and trust an engineering firm needs from generated responses, we build these custom agents from the ground up inside the platform environment users are already in, such as Microsoft Azure or Amazon Web Services. Firms with these agents deployed on their platform pay for them on usage, at API rates through their own platform services, not on a subscription seat model.

Why usage and not seats: a chat plan gives every user the same general assistant. It answers from what it learned before it was released, has no access to the firm’s own documents, and each seat costs the same whether it’s used once a month or all day. A custom agent reads the firm’s own documents, quotes the passage it relied on, and keeps that data inside the firm’s own cloud. Answering this way takes more computing than a plain chat reply, because the agent first searches the documents and then writes its answer from what it found, so it is billed the same way as the rest of the firm’s cloud services. The firm pays for the questions it asks and nothing while the agent sits idle.