Co-creating the new Intelligence Quotient for and with the life sciences industry

Our Goal: Improve R&D Productivity

  • Biopharma R&D is in a productivity crisis. It takes over $2.6 billion and 10–15 years to bring a drug to market. The average internal rate of return (IRR) on R&D investments continues to decline.

    Biopharmaceutical companies are turning to data, digital, and technology to enhance R&D productivity. Successful integration of these capabilities into R&D processes hinges on its effective adoption by frontline workers.

  • Inefficiency in R&D delays the delivery of life-saving treatments to patients. Adoption and utilization of data, digital and technology capabilities by frontline workers is not just a business priority - it is also a moral obligation.​

    At IndusQ, we address this critical adoption gap.​ We collaborate with biopharmaceutical companies to develop, seamlessly integrate, and actively utilization of data, digital and AI products by R&D teams.

How We Do It

Data, Digital & AI Strategy

Building people- and process-centric data, digital and AI strategy to solve the most pressing challenges in drug development.

Implement, Embed and Scale

Helping R&D leaders
implement and scale data, digital and AI solutions to increase team productivity and engagement.

Enable, Educate and Empower

Improving data, digital,
and AI literacy based on role-based education and upskilling to drive sustainable adoption.

The Challenge

Technology is advancing rapidly, offering AI, digital, and data-driven breakthroughs that could transform biopharma R&D - accelerating timelines, reducing costs, and improving quality.

Yet, for many on the frontlines of drug development, these innovations remain out of reach. The promise is there, but the tools aren’t always built for them. Training is either nonexistent or ineffective. These gaps prevent R&D organizations from fully capturing the value of data, analytics, and AI.

As a result, biopharma companies risk missing the golden age of AI-driven productivity.

    • Accelerated drug development: AI has the potential to reduce discovery and development cycle times by 30–50%.

    • Enhanced clinical trial success: AI and predictive analytics can improve clinical trial success rates by 25%.​

    • Operational efficiency: Automation can eliminate 50–70% of manual data processing tasks.​

    • Stagnant R&D Productivity: Despite technological advancements, R&D productivity hasn’t improved.

    • Digital transformations don’t deliver: 70% of digital transformation projects fail to meet their intended goals.

    • Underutilization: A significant gap exists between availability of products and their use by frontline R&D staff.

Why IndusQ?

We bridge the gap between cutting-edge data, digital, and AI products and their effective adoption by frontline R&D teams.

We help build data, digital, analytics, and AI solutions while ensuring they are adopted and actively used by those who need them most.

Through intuitive, scalable solutions and role-specific upskilling, we unlock the full potential of technology and AI, ensuring that biopharma companies can move the needle on R&D productivity.

At IndusQ, we are co-creating the new Intelligence Quotient with and for the life sciences industry.

Contact Us

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