• Dimenso has raised $650,000 from Draper B1 and Next Tier Ventures to expand its AI-powered scientific execution platform across the U.S. and Europe.
  • The technology is already being used by pharmaceutical companies, biotech organizations, and research institutions, reducing administrative work by up to 65% while improving experimental traceability and data capture.

BOSTON, Sept. 15, 2026 (GLOBE NEWSWIRE) — Despite decades of innovation in scientific research, much of the work performed inside life sciences laboratories remains manual, fragmented, and disconnected from the digital systems designed to manage scientific data.

Dimenso is building the infrastructure to change that.

The Boston-based company has developed an AI-powered platform that uses smart glasses, computer vision, and voice interfaces to understand and capture laboratory work in real time. The technology helps scientists automatically document experiments, structure observations and experimental data, track protocol execution, and identify potential deviations without interrupting the way they work.

Dimenso has now raised $650,000 in funding led by Draper B1, with participation from Next Tier Ventures, to accelerate the deployment of its technology across pharmaceutical, biotechnology, and research organizations.

Based in Kendall Square in Cambridge, Massachusetts, at the center of one of the world’s leading biotechnology ecosystems and near institutions including MIT and Harvard, Dimenso is developing what it describes as a Physical AI layer for scientific execution.

Unlike traditional laboratory software, which largely depends on scientists manually entering information before or after an experiment, Dimenso captures scientific work directly as it happens.

Through computer vision, voice interaction, and contextual understanding of scientific protocols, the platform can capture and structure actions, observations, and experimental data in real time — creating a traceable digital record of the experiment while reducing manual documentation.

The goal is to turn physical laboratory execution into structured, analysis-ready scientific data that can ultimately feed existing laboratory systems such as electronic lab notebooks and other scientific software platforms.

Bringing AI Into the Physical Laboratory

While artificial intelligence has rapidly transformed computational research and data analysis, the physical execution of experiments remains significantly less digitized.

Dimenso is focused on closing that gap.

Its technology enables scientists and laboratory operators to wear AI powered smart glasses that can talk, listen, and see whenever assistance is needed. The system can guide users through procedures, capture experimental context, identify deviations in real time, and preserve information that might otherwise be lost during manual documentation.

According to company data, Dimenso can reduce the time scientists and operators spend on administrative tasks by up to 65% and accelerate the analysis of experimental data by as much as 20x in supported workflows.

Errors or missing information during laboratory execution can force teams to repeat experiments, creating delays that may extend for weeks or months and significantly increase R&D and operational costs.

“Artificial intelligence has transformed the digital world, but much of the physical work performed by scientists and operators inside laboratories is still manual,” said Luis Alvear, Co-Founder and CEO of Dimenso. “We are bringing AI into that physical environment through smart glasses that can talk, listen, and see when needed, allowing the system to understand scientific work while it is actually happening.”

“By turning day-to-day laboratory execution into structured and traceable data, we can automate documentation, preserve experimental context, and help scientists and operators identify opportunities for optimization and make better informed decisions about what to do next. Ultimately, the goal is to help laboratory teams run more experiments, learn faster, and accelerate the development of new therapies.”

Building an AI Infrastructure Layer for Scientific Execution

Dimenso was founded by Luis Alvear, Álvaro Buitrago, and Daniel de la Pedraja and is supported by a multidisciplinary team with experience across organizations including Tesla, Harvard Medical School, and Harvard Business School.

The company’s growth comes as pharmaceutical and biotechnology companies increasingly adopt artificial intelligence across drug discovery and development.

Recent partnerships between leading AI companies and major pharmaceutical organizations have primarily focused on computational research, biological modeling, and data analysis. Dimenso is addressing a different part of the technology stack: the physical execution of scientific work inside the laboratory.

Its long-term vision is to build an intelligence and capture layer that sits between scientists and existing laboratory software — transforming what scientists actually do at the bench into structured, reproducible, and searchable scientific data.

Dimenso is already working with pharmaceutical companies, biotechnology organizations, and academic institutions across the United States and Europe.

The new funding will support further product development and commercial expansion, with a particular focus on scaling adoption within pharmaceutical and biotechnology R&D organizations.

“We saw a compelling opportunity in a company tackling a clear and measurable productivity problem,” said Raquel Bernal, Managing Partner Director at Draper B1. “Dimenso has identified a critical pain point in scientific workflows, and its early traction with leading institutions demonstrates the potential of its approach. The team is building from Boston, at the center of one of the world’s most important life sciences ecosystems, while addressing a global market opportunity.”

About Dimenso

Dimenso develops AI infrastructure for scientific execution in life sciences laboratories.

Its platform captures experiments as they happen, transforming physical laboratory work into structured, traceable, and analysis-ready scientific data. Using artificial intelligence, computer vision, voice interfaces, and smart glasses, Dimenso helps scientists reduce manual documentation, improve reproducibility, preserve experimental context, and identify potential deviations during scientific workflows.

Dimenso is building the real-time capture and intelligence layer between scientists and the digital systems used to manage modern research.

For more information or interview requests, please contact:

Luis Alvear, CEO — luis@dimenso.ai
Álvaro Buitrago, COO — alvaro@dimenso.ai

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/62b899de-471d-43f0-952a-cbd3462566b7


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Dimenso Technologies Inc.