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SUSI Tech

SUSI Tech provides a modular suite of AI-powered tools designed to simplify and enhance business processes for SME manufacturers. The platform offers specific applications for marketing automation, production modeling, and operations optimization, enabling users to improve engagement, repeatability, and yield. These human-centric solutions integrate easily into existing workflows, offering powerful decision intelligence without requiring technical expertise.

Rome, ItalyFounded 2024250+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Small and medium-sized enterprises (SMEs) often struggle with complex production data scattered across disparate systems, hindering their ability to gain real-time insights into operational efficiency and sustainability. The complexity of data management and the need for specialized skills make digital transformation daunting for SMEs.

Solution

SUSI provides AI-powered digital process twins that unify and simplify complex production data, processes, and systems into configurable, deployable, and monetizable solutions for SMEs. The platform extracts context from uploaded process-related data, files, and images, then leverages AI automation to visually configure and deploy the extracted process, aligning it with the SME's specific business and operational context. By providing a comprehensive view of operations, SUSI enables SMEs to identify areas of challenge and opportunity in real-time, guiding their manufacturing practices towards greater efficiency and sustainability. Role-based, AI-assisted recommendations and traceability make it easy for all users to understand and leverage available and relevant information.

Target Audience

SUSI's primary customers are small and medium-sized enterprises (SMEs) in the manufacturing sector seeking to improve their operational efficiency, sustainability, and regulatory reporting through digital transformation.

Features

  • Handles upload and processing of different file types.
  • Context extraction based on industry, process, and best practices.
  • AI automation to visually configure and deploy the extracted process.
  • Assisted automation to test, validate, and deploy the target process.
  • Real-time alerts to optimize efficiency, waste, and sustainability management.
  • AI-assisted insights and recommendations to improve outcomes.
  • Intuitive interfaces that prioritize user experience.
  • End-to-end process visualization across systems, data, and human actions.
  • Configurable digital replicas of manufacturing processes.
  • Dashboards with data-driven insights into waste, sustainability, and inefficiency.
This profile is AI-generated and may contain inaccuracies.