A smart AI assistant that gains wisdom from every production breakdown, preserves expert knowledge and transforms it into actionable procedures ensuring identical issues are resolved in minutes, not hours.
A cloud-based AI companion that continuously learns from production challenges and builds organizational intelligence for rapid problem-solving. Also available for highly secured manufacturing environments with on-premise deployment options.
Seamlessly captures production issues and gathers video, log, and sensor data through API connections. Works with your current systems without disruption.
Conveyor Belt #3 - Motor Overheating
AI examines past incidents, technical documentation, and successful solutions to identify the most probable causes and recommend the optimal next steps.
Delivers precise repair instructions based on the analysis, empowering technicians to implement the most effective solutions efficiently.
Automatically transforms successful solutions into detailed procedures and handover protocols, preserving the most effective approaches for future teams.
Convert every challenge into organizational wisdom that grows more powerful with each shift.
AI recommends optimal next actions based on historical patterns and expert insights, significantly cutting down diagnostic time.
Automatically transforms successful approaches into detailed procedures that safeguard expert knowledge for future teams.
Smooth transitions prevent duplicate problem-solving, with comprehensive knowledge sharing across all shifts.
Get your personalized assessment and discover how LARS can revolutionize your manufacturing operations
Connects to video, log, and sensor data via API. Integrates with your current infrastructure without interrupting operations.
Pulls video, log, and sensor data via API without disrupting your existing infrastructure or requiring system replacement. Available in both cloud and on-premise configurations.
ISO 27001 & SOC 2 certifications in progress. Your data and operations are protected with industry-leading security standards.
Whether you need cloud-based solutions or require on-premise deployment for highly secured manufacturing environments, LARS adapts to your infrastructure requirements.
Rapid deployment with automatic updates, global accessibility, and enterprise-grade security. Perfect for most manufacturing environments.
Complete data sovereignty with air-gapped security. Ideal for highly secured manufacturing environments, defense contractors, and regulated industries.
Founded by industry veterans with decades of combined experience in manufacturing, R&D, and digital transformation. Our founders have shaped the future of manufacturing across global enterprises.
Founder & Product Lead
A gold medalist in bachelors with Masters from University of Stuttgart and 7 years of AI and Data experience. Kashyap has led manufacturing initiatives across Defence R&D at DRDO, precision engineering at Trumpf, and semiconductor innovation at Bosch across Germany and India. He specializes in scaling breakthrough products that have enhanced Fortune 500 operations worldwide.
Co-Founder & Operations Lead
A pharma manufacturing expert with 8+ years of industry experience who has led scaling initiatives and MES integrations for Fortune 500 companies. Varun has worked with leading pharmaceutical clients including Mylan, Emcure, FKOL, Biocon, Corden, Prinston, and Huhai, and has experience at Honeywell. He specializes in enterprise manufacturing software solutions that streamline digital transformation for global pharmaceutical leaders.
We're on a mission to empower manufacturing teams with actionable insights that integrate seamlessly into their existing workflows. By combining our deep industry expertise with intelligent analysis, we're helping people make better decisions, preserve hard-won knowledge, and transform every shift into a learning opportunity.
Join industry leaders who are already using LARS to preserve expert knowledge, build systematic procedures, and convert production stops into operational success in minutes, not hours.