What We Do

We increase value for Life Science companies by accelerating the transformation of manual processes to digital through innovation, collaboration and by leveraging technology not just to improve but to accelerate outcomes.  Our team members combine decades of Life Science experience with intelligent, resilient, future forward technology solutions, data and a passion for possibilities.
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Intelligent Digital Transformation

Our team members have decades of experience in the Life Science industry, and an in-depth knowledge of the challenges faced by Life Science companies. Our team is committed to innovation and collaboration, and leverages technology to accelerate outcomes. Through our team's knowledge, experience and passion for possibility, we are able to provide solutions that accelerate the transformation of manual processes to digital.
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Robotic Process Automation

Intelligent Automation

Robotic Process Automation (RPA) is used to automate many of the repetitive, data intensive tasks associated with clinical trials, laboratory data management, supply chain management, regulatory affairs, quality control and pharmaceutical manufacturing. With RPA processing data is faster, more accurate and more consistent. By automating tasks such data collection, data entry, reporting, filing, analyzing and storing data, the risk of human error is greatly reduced which will have a major impact on the accuracy of results. This can help to improve efficiency, reduce costs and maintain compliance with regulatory requirements.

Data Engineering

Optimizing Data for Insights

Data engineering techniques such as data validation, cleansing and transformation can be used to improve the quality of the data collected by life science companies, leading to more accurate and reliable research results. These techniques help life science companies better manage their data, including organizing and storing data in a way that makes it easily accessible and searchable while also automating repetitive data processing tasks, allowing scientists and researchers to focus on more important things such as data analysis and experimentation. With better data management and organization, data engineering can facilitate collaboration among different teams and departments within a life science company, as well as with external partners and researchers. It helps business leaders make more informed, data-driven decisions, facilitates faster time to market all while implementing data security protocols that protect data privacy.

Digital Validation

GAMP Compliant, Risk Based

Moving from manual to digital validation is crucial for GXP organizations striving to remain compliant amidst increasing complexity and frequency of validation requirements. The move to digital brings with it improved efficiency and accuracy, reduced costs and ultimately enhancement to patient safety. Digital validation automates your workforce efforts while keeping the human in the loop at every step.

 

Advanced Analytics

Data Visualizations, AI/ML

Advanced analytics can be used to analyze data from across the supply chain to identify inefficiencies, reduce costs, and improve overall performance.  It provides better risk management to help companies identify potential risks and develop strategies to mitigate them. By analyzing data from manufacturing processes, companies can identify bottlenecks and inefficiencies, which can then be addressed to improve overall efficiency and productivity allowing companies to proactively address issues before they become a problem. By analyzing historical data and identifying patterns, advance analytics can help predict future trends and demand for products, which can help companies plan their production schedules more effectively. This minimizes waste and helps companies reduce costs and increase profitability. For highly regulated companies, traceability of manufactured products helps ensure compliance. By automating analysis of large amounts of data and providing insights, advance analytics allows business owners to make data-driven decisions which can boost the performance of the company.

Project Management

Unlocking Success through Expertise and Innovation

Acumen's project management services for the life sciences industry encompass QMS optimization, regulatory compliance, digital transformation, AI and automation strategies, and data management solutions. We specialize in GxP compliance, quality management, and regulatory affairs, leveraging the expertise of Lean Six Sigma certified project managers. By aligning our project management approaches with Lean Six Sigma principles and combining project management skills with subject matter expertise, we enable our clients to achieve success in the dynamic and demanding field of life sciences. 

Strategy and Planning

Future Ready Solutions

Looking to propel your organization forward? Strategic Assessments are an invaluable asset that can help guide you in understanding where you stand, recognizing the areas of improvement within the digital transformation process and setting goals towards achieving success. Investing in Digital Transformation Solutions may bring a multitude of advantages ranging from increased efficiency and data integrity, improved collaboration capabilities & compliance with regulations among many more -all essential requirements for staying competitive as well as meeting objectives efficiently.

Let's Talk

Who We Are

We are strategists, problem solvers, technologists, data scientists, analysts and engineers. Our teams believe in doing what's right and we are driven to help you realize your vision. We believe success is achieved collaboratively, and in building trust for your next big challenge.

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Agile

Acumen uses an Agile approach to provide flexible solutions in a rapid manner while delivering a fully documented and tested solution which is compliant to applicable regulations and industry standards. We accomplish this by leveraging our risk-based, agile methodology of requirements gathering, solution design and development along with digital validation and testing. Our methodology ensures fast results while achieving your business goals and staying fully compliant. With us on your side, life science companies can move quickly and efficiently.

Collaborative

Digital transformation is an integral part of staying competitive in the life science arena. At Acumen, we recognize that this process requires substantial investments, from taking on new skill sets to managing data using artificial intelligence & machine learning and automated solutions - but it's all within your reach! We'll provide you with a roadmap for success by unlocking valuable insights from existing datasets – giving you that professional edge needed to succeed today.

Future Focused

At Acumen, we strive to be the catalyst of progress in life science by partnering with our customers and deploying solutions that are resilient enough for future needs. Our commitment is fueled by agility, creativity, accuracy and a keen foresight into advances within this ever-evolving industry. Let us provide you with an innovative edge as your partner on your mission to provide better patient outcomes.

Our Partners

We have strong partnerships with the world's largest technology platforms, Life Science applications and Experts

Our team is a trusted partner of Life Sciences--industry experts and application providers. Allow us to be your guide on the path toward finding an ideal cloud, data or digital experience solution for you -- whatever that may entail! Let's work together in creating something extraordinary.

Drop us a line today for a free 30-minute consultation!

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Our Work

Combining Real World Data and Analytics to Bring Drug Therapies to Market

Gaps gathering information about current and future drug therapies for patient treatment, market cohorts and market potential.

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Medical Device Bespoke Analytics Platform

Delivery of a fully validated GxP full stack advanced analytics end reporting system which included an enterprise class data visualization tool as a component of the overall solution

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A Global Company Dedicated to Making Affordable Medicine

To help get medicine to underserved areas of the world and underserved biologics markets by producing affordable medicine on a scale that will alleviate global production capacity limitations.

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Embedded Analytics in a SaaS Clinical Trial Solution Resulting in Acquisition

Inefficient process for clinical trial participation resulting in lagging enrollment

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