The startup offers an artificial intelligence platform that utilizes a visual editor and a straightforward application programming interface to enable users to create and implement personalized automation within their applications. This technology addresses the complexity of task automation by allowing clients to easily design contextualized workflows tailored to individual user needs.
Funding
$29.3M 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
Many organizations struggle to efficiently implement and scale AI-powered automation due to the complexity of integrating various AI models, data sources, and deployment tools. This often results in delayed project timelines, increased costs, and challenges in maintaining data security and model reliability.
Solution
Craft AI offers a platform designed to streamline the development, deployment, and management of AI agents and applications. The platform allows users to assemble AI agents by integrating various language models, enterprise data sources, and custom tools. It provides tools to scale AI applications while managing performance and costs, and ensures data security through dedicated infrastructure and hosting options on sovereign clouds. Craft AI enables businesses to deliver AI-powered solutions to end-users, while maintaining control over data, model performance, and infrastructure costs.
Target Audience
Craft AI targets data scientists, ML engineers, DevOps engineers, software engineers, and CIOs seeking to streamline AI development, deployment, and management within their organizations.
Features
- Visual editor and API for designing contextualized automation workflows
- Integration with various language models, including open-source (Mistral, Llama) and private APIs (GPT-4, Claude, Gemini)
- Data connectors for enterprise data sources (Notion, Drive, Sharepoint, databases)
- Tools for building custom AI agents tailored to specific business use cases
- Scalable infrastructure management with support for multiple cloud providers (AWS, GCP, Scaleway, S3NS, NumSpot) and on-premise deployment
- Monitoring and analytics dashboards for tracking model performance, reliability, and cost
- Role-based access control and data encryption for enhanced security
- Synthetic data generation to create statistically similar data while ensuring confidentiality