HighRes Unveils AI-Driven Lab to Democratize Scientific Discovery

BEVERLY, Mass. – February 06, 2026 – HighRes, a long-standing provider of laboratory automation, today signaled a dramatic shift in its strategy at the SLAS2026 conference, unveiling a new brand identity and an AI-driven platform designed to make complex scientific research more accessible. The company is moving beyond its legacy of building reliable robotic systems and is now aiming to deliver intelligent laboratory orchestration that allows scientists to create and run experiments using natural language commands.

This pivot reflects a broader industry trend where the convergence of artificial intelligence, robotics, and software is fundamentally reshaping the laboratory environment. For over two decades, HighRes has been a quiet force, engineering the robust automation backbones for some of the world's most advanced research facilities. Now, the company is stepping into the spotlight with a vision to break down the barriers that have historically limited the use of automation to highly specialized experts.

The End of 'Automation for Experts'

At the heart of HighRes’s new direction is a mission to democratize advanced scientific tools. The company’s new platform is built on the premise that a scientist’s progress should be limited by their imagination, not by their access to specialized programming expertise or intermediaries.

“Automation used to be a specialty,” said Ira Hoffman, CEO of HighRes, in a statement accompanying the announcement. “That world no longer exists. Science today isn’t limited by imagination. It’s limited by access.”

The new system introduces AI-powered lab assistants and agents that enable what the company calls "natural-language lab orchestration." This paradigm shift means scientists can create complex workflows by simply describing them in conversational language. The AI then coordinates the necessary instruments, executes the workflow, and analyzes the data, transforming a process that once required intricate coding into a dialogue.

This move directly addresses a critical bottleneck in research and development. While the potential of automation to accelerate discovery is well-understood, its adoption has often been hampered by high upfront costs, the need for extensive training, and the complexity of integrating disparate systems. By lowering the barrier to entry, HighRes aims to empower a broader range of scientists, from startups to large pharmaceutical companies. The goal, as Hoffman put it, is no longer to build "automation for experts," but to create "automation that creates experts."

However, the path to true democratization is not without its hurdles. The high initial investment for advanced automation remains a significant barrier for smaller labs and academic institutions. Furthermore, ensuring that AI can accurately interpret the nuanced and context-specific language of scientific protocols is a formidable technical challenge that will require robust validation to build trust within the scientific community.

A Strategic Pivot in a Competitive AI Arms Race

HighRes's transformation is not happening in a vacuum. It is a calculated strategic maneuver within a fiercely competitive global lab automation market, which is projected to grow from over $8 billion in 2025 to nearly $15 billion by 2034. The sub-market for AI in laboratory solutions is expanding even more rapidly, with analysts forecasting it to triple in value over the next decade.

Industry giants are also making significant investments in intelligent automation. Thermo Fisher Scientific, a market leader, recently announced a major collaboration with NVIDIA to embed AI directly into its scientific instruments. Other key players, including Agilent Technologies, Hamilton Robotics, and Danaher Corporation, are all scaling up their AI-based systems for applications ranging from drug discovery to high-throughput screening.

Against this backdrop, HighRes's pivot appears to be both a defensive necessity and an offensive play. The company is leveraging its long-term financial stability, provided by its parent company Axel Johnson Inc., to fund this ambitious technological leap. Recent strategic moves underscore this commitment, including the March 2025 acquisition of Let's Go Robotics to enhance its liquid handling capabilities and a just-announced partnership with Opentrons Labworks to connect modular robotics with its enterprise-grade orchestration software, CellarioOS. These actions signal a clear intent to not just participate in the AI revolution but to establish its software as an industry standard for intelligent lab orchestration.

Inside the Intelligent Lab: AI, Perception, and Digital Twins

The new platform showcased at SLAS2026 integrates several cutting-edge technologies to create a cohesive, responsive laboratory ecosystem. Beyond the headline-grabbing natural language interface, the system introduces advanced capabilities designed to increase reliability and reduce friction in day-to-day operations.

One of the most critical features is robotic perception. Using cameras and advanced sensors, the automation systems can now "see" and understand their environment. This allows them to validate steps—such as confirming the correct sample is in place—and, more importantly, to automatically detect and recover from errors that would typically halt an experiment and require manual intervention.

To build user confidence, HighRes is also developing scientifically informed systems. These systems are grounded in the company's two decades of experience across hundreds of successful installations in genomics, drug discovery, and synthetic biology. By leveraging validated experimental outcomes and lab-tested solutions, the platform aims to provide more standardized and reliable workflows out of the box.

Another key component is the use of digital twins. This technology allows organizations to create a virtual replica of their laboratory, enabling them to design, simulate, and validate both physical lab builds and complex scientific workflows digitally before committing physical resources. This "design-before-build" approach can dramatically reduce costs, shorten setup times, and optimize processes for maximum efficiency. Together, these technologies work in concert to transform a collection of standalone instruments into a unified, intelligent system that can adapt in real time.

Why Now? The Convergence of Intelligence and Automation

HighRes's bold declaration that "the technology is finally ready" is supported by a clear inflection point in technological maturity across several fields. The recent, rapid advancements in artificial intelligence, particularly in machine learning and computer vision, have provided the "brains" needed for a system to learn, adapt, and interpret complex information. The FDA's approval of drugs designed with generative AI platforms is a testament to the real-world impact of these advancements.

Simultaneously, the field of robotics has evolved beyond simple, repetitive task execution. The rise of smaller, more precise collaborative robots (cobots) and autonomous mobile robots (AMRs) allows for more flexible and dynamic physical automation. These robots can work safely alongside scientists and handle delicate tasks that were previously difficult to automate, enabling 24/7 operation with enhanced reproducibility.

Tying it all together is the growing sophistication of software orchestration. Modern platforms, increasingly based in the cloud, can now seamlessly integrate and manage a diverse array of instruments from different vendors. This addresses the long-standing challenge of interoperability and allows for the dynamic scheduling and remote monitoring of workflows. HighRes's push to establish its CellarioOS as an industry standard fits squarely within this trend. The convergence of these three pillars—mature AI, advanced robotics, and integrated software—is what makes the vision of an intelligent, conversational lab a tangible reality today, promising to accelerate the pace of scientific discovery for years to come.