Aito is a predictive database that enables businesses to implement machine learning classifiers using existing relational datasets without requiring coding expertise. It automates predictions for various workflows, such as invoice processing and customer support ticket classification, while continuously adapting to new data without the need for re-training.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses often struggle to implement machine learning classifiers due to the complexity of coding and the need for specialized data science expertise. This complexity hinders the adoption of AI-driven automation in various workflows, limiting efficiency gains and increasing operational costs. Maintaining these models also requires continuous re-training and deployment, adding to the burden on IT and automation teams.
Solution
Aito provides a predictive database solution that enables businesses to implement machine learning classifiers using existing relational datasets without requiring coding expertise. The platform automates predictions for various workflows, such as invoice processing, customer support ticket classification, and product tagging, making machine learning accessible to no-coders and RPA developers. Aito's platform-agnostic design allows integration with any automation platform through simple APIs, while its hosted and managed cloud service reduces the effort required for deployment and maintenance. The system continuously adapts to new data without the need for re-training, ensuring predictions are always based on the latest information. Aito also offers a Python SDK and a query language for developers who prefer more flexibility.
Target Audience
Aito is designed for automation teams, RPA developers, and no-coders across various industries looking to implement machine learning classifiers without coding.
Features
- Patent-pending machine learning classification approach that automates the science behind the scenes
- Fully managed and cloud-hosted service, eliminating the need for machine maintenance, feature engineering, and algorithm selection
- Prediction Nodes provide simple API endpoints that work with any RPA and automation tool
- Automatic adaptation to new data without requiring model re-training or redeployment
- Built-in features for monitoring automation rates, prediction error, and accuracy
- Python SDK and Aito Query Language for developers who prefer deeper integration
- Text highlights for explanations, making AI predictions more intuitive
- $analogy scorer to identify items that behave similarly to examined variables
- $nn and $sameness operations to support question answering in applications like help and support