SelfJev

SelfJev offers a self-hosted 4B decision model designed to extract structured decisions from text and images. Key features include: • Host the decision model on your own infrastructure • Query text and images with typed questions (yes/no, pick one, pick many, score) • Receive calibrated probabilities for each decision • Jev-compatible API for easy integration • Fine-tune the model with your specific data This model is built to provide concrete answers without generating extensive text. It reads an input once and can answer multiple questions based on that single read, significantly improving efficiency for decision-making tasks like routing requests, checking compliance, or applying business rules. The emphasis is on producing structured, actionable outputs that your code can directly utilize. Ideal for engineering teams, data scientists, and organizations that handle sensitive data and require robust, on-premise analytical capabilities. SelfJev empowers users to maintain full control over their data processing and model customization, making it suitable for critical business processes and internal applications. It offers a transparent record of every experiment and ensures data privacy.