VISSION-X is OMNI’s production-ready, workflow automation platform built to streamline the active acquisition phase of SBIR/STTR procurements. It is the operational core that enables government teams to move from solicitation to release proposal evaluations and final award notifications.


VISSION-X eliminates bottlenecks in the SBIR/STTR acquisition lifecycle by automating manual workflows for solicitation, evaluator assignment, and notification. Built in a secure government cloud, it transforms 10 hours of contract processing into 30 minutes, reducing human labor while preserving oversight. The result? Rapid-cycle execut
VISSION-X eliminates bottlenecks in the SBIR/STTR acquisition lifecycle by automating manual workflows for solicitation, evaluator assignment, and notification. Built in a secure government cloud, it transforms 10 hours of contract processing into 30 minutes, reducing human labor while preserving oversight. The result? Rapid-cycle execution and faster delivery of critical capabilities to the warfighter.

Stay audit-ready with every action traceable in VISSION-X. The platform embeds contracting best practices into your workflow with compliance checks, permission-based controls, and automated audit trails. From evaluator assignments to proposal scoring, every step aligns with FAR, DFARS, and agency-specific requirements ensuring your acquisition process is not just fast, but defensible.

VISSION-X turns historical acquisition data into a strategic asset. With built-in dashboards, automated reports, and real-time analytics, program offices can analyze proposal trends, evaluator behavior, cycle times, and award decisions. Use these insights to optimize future solicitations, inform Congressional reporting, and sharpen decision-making across the SBIR/STTR lifecycle.

Harnessing the forefront of AI technology, this feature evaluates numerous proposals for technical merit, commercialization potential, and defense needs. By leveraging sophisticated algorithms, it ensures a comprehensive and unbiased assessment, significantly reducing the time and effort required for manual evaluations.

This feature empowers users to take notes and seamlessly transform them into comprehensive source selection feedback. By using natural language processing, it can convert raw notes into structured, coherent, and actionable feedback. This ensures that all evaluative comments are clear, consistent, and aligned with the evaluation criteria, enhancing the overall quality of the selection process.

This feature enables precise and accurate scoring by allowing users to evaluate each key aspect and question with granularity. It uses a detailed rubric to score proposals on various criteria, ensuring a highly detailed and objective scoring model. This level of precision is essential for making informed decisions in military applications, where every detail can be critical.




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