CES Innovation Awards® 2026 Honoree (Enterprise Tech): Memorence AI was recognized for its AI solutions for enterprise and industrial applications.
2026/01/06-01/09 : Memorence AI will showcase our Innovation Award–honored AI solutions at CES 2026. Location: Venetian Expo, Eureka Park, Hall G, Booth 62201.
2026/01/04 : Memorence AI will present at CES 2026 – Unveiled Las Vegas. Location: Mandalay Bay, Las Vegas, USA.
At Memorence AI, we focus on AI systems designed for real-world operations.
Our technology enables experts to correct, guide, and refine system behavior directly during use -
turning daily interaction into operational experience.
With Instant Learning and a continuously learnable system through use,
expert interaction directly improves system performance over time.
We build AI products that turn manual judgment, inspection, and decision-making
into reliable, auditable digital processes.
This enables organizations to reduce dependency on individual expertise,
improve operational consistency,
and scale quality across teams and sites.
Designed for deployment in real operational environments,
the platform enables domain experts to digitize, operate, and improve AI systems directly through daily use,
supported by application-specific visual and operational data, with optimized data acquisition designed for each visual vertical.
No dedicated AI engineering teams are required,
making it practical for enterprise operational environments, factory floors, and production lines.
Introducing a no-code DATA+AI platform built for real operational environments, designed for enterprises and domain experts working with real-world data, including visual and operational data generated during daily work.
Beyond software, the platform is built around high-quality data acquisition. We provide application-specific data acquisition solutions, ranging from dedicated industrial inspection systems to modular and configurable imaging setups, ensuring that the right data is captured at the source for each operational scenario.
The platform enables organizations to digitize, automate, and improve manual operations, transforming human judgment, inspection, and decision-making into reliable and repeatable digital workflows.
What sets our approach apart is Instant Learning. As domain experts interact with the system during real operations, their corrections and guidance are immediately incorporated, allowing system behavior to improve continuously through use, without retraining cycles or dedicated AI engineering teams.
By combining no-code configuration, high-quality operational data, and Instant Learning, the platform allows organizations to deploy, adapt, and scale AI systems with confidence, while maintaining control, reliability, and consistency across teams and sites.
Large-scale cross-industry visual inspection platform with stability and scalability
One-stop Data + AI platform designed for domain experts with quality-guaranteed AI
Vertical-specific data acquisition for visual applications
Instant-learning visual assistant for Operations
Operational/assembly guidance & inspection
Support integration with Memoragents
Multimodal Reasoning over Enterprise Knowledge
Understand domain-specific professional visual data
Locally deployable (on-premise or hybrid)
Application-specific data acquisition for operational AI
High-quality visual and operational data pipeline design
Optimized hardware configurations
Designing AI systems for real-world operations
We translate AI research into deployable systems
Enabling instant learning and continuous improvement through use
Analysis, design, deployment, and customization of AI for enterprise environments
Support for on-premise, edge, and hybrid deployments
Integration into existing enterprise workflows
Purpose-built models tailored for different verticals, designed to evolve in customer environments
Improves system performance through expert feedback during daily operations
Enables domain experts to configure, operate, and refine AI without coding
Designed to integrate with existing enterprise systems and operational workflows
Turn manual operations into traceable, auditable digital workflows
Reduce human error and dependency on individual expertise
Improve quality consistency, efficiency, and operational safety
Automatically extract insights from operational data and feedback loops
On-premise and hybrid deployment to keep data under control
Defect miss rates reduced from approximately 3–4% to below 0.1%
Up to 90% reduction in AOI false alarms, enabling operators to focus on real issues
Over 90% reduction in manual inspection time across deployed production lines
AI systems where experience, not just training data, drives long-term intelligence.
industry-oriented visual and multimodal AI covering inspection, guidance, and reasoning across professional environments.
Integrated design across sensors, optics, and edge devices to ensure reliable, application-specific data capture at the source.
A modular architecture enabling flexible deployment across edge, on-premise, and hybrid environments for long-term operation.
Learn more about our technical foundations and research directions in Technology & Research.
Design decisions, inspections, parameter tuning, visual judgments, and on-site complex enterprise operations are still performed by humans, without becoming reusable system knowledge.
product design
process parameters adjustment
quality inspection
enterprise workflows &
decision making
Operational data is scattered, undocumented, or never captured —making AI training and improvement impossible
Data is the first requirement for AI
Critical know-how exists only in human experience
and disappears when people leave or change roles
Most AI tools require coding, model tuning,
and workflows that domain experts cannot operate
Instead of static models or engineer-driven workflows, our systems learn directly from domain experts during use, transforming manual operations into auditable, continuously improving processes.
• Manufacturing environments — from traditional factories to high-tech production
• Enterprise operational workflows