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Autonomi AI

Autonomi AI provides a unified API for visual AI that automates the extraction and processing of unstructured data across various industries, including healthcare, finance, and legal. By eliminating manual effort and enabling rapid fine-tuning of hyper-specialized models, the platform enhances operational efficiency and accuracy in data handling.

Santa Clara, Cuba · HQ
Founded 2022
Updated 5 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many industries struggle with the manual extraction and processing of unstructured data from images and documents, leading to inefficiencies and inaccuracies. Existing visual AI solutions often require extensive prompt engineering and lack the precision needed for specific industry applications.

Solution

Autonomi AI's VLM Run offers a unified API for visual AI, automating the extraction of structured data from visual sources across industries like healthcare, finance, media, and legal. The platform provides pre-built schemas and hyper-specialized models that eliminate the need for prompt engineering, enabling developers to quickly integrate visual AI into their applications. VLM Run delivers strongly-typed, validated JSON outputs, facilitating seamless integration with databases and software agents, and offers a dashboard for real-time insights into data, model accuracy, and user feedback.

Target Audience

The primary target audience includes developers and engineers at AI startups and software enterprises in healthcare, finance, media, and legal industries who need to automate visual data extraction and processing.

Features

  • Unified API for various visual AI tasks, including captioning, table extraction, OCR, object detection, classification, and embeddings
  • Pre-built schemas for structured JSON extraction, eliminating the need for prompt engineering
  • Hyper-specialized models tailored for specific industries, offering improved accuracy
  • Rapid fine-tuning capabilities, allowing models to be adapted to unique needs and deployed quickly
  • Flexible deployment options, including private deployments and model ownership
  • Real-time dashboard for monitoring data, model accuracy, user feedback, and key metrics
  • Task-based pricing model for cost-effective scaling
This profile is AI-generated and may contain inaccuracies.