Unipr

Unipr

Software Development

San Jose, CA 188 followers

Operations AI for Life Sciences

About us

At Unipr, we’re transforming how the world’s most forward-thinking life science organizations drive operational excellence and innovation. The Unipr AI Ecosystem enables end-to-end connectivity, integrating internal systems with external tools for unparalleled real-time strategic alignment. With Operations AI apps built for functional teams to work seamlessly, the Unipr AI Platform empowers teams to plan, execute, and adapt initiatives with precision and agility. Unipr helps leaders optimize research portfolios, streamline development programs, execute complex launches on time, forecast budgets and resources, anticipate risks and delays, and adapt tactics in real-time as scenarios evolve. Combining Predictive AI for data-driven decision-making with Generative AI for workflow automation, Unipr is proven to boost R&D productivity, accelerate time-to-market, and unify execution across functional teams organization-wide. Why Unipr? 1. Unify data in real-time from multiple existing internal tools and external systems. 2. Align cross-functional teams with Operations AI apps built for seamless work. 3. Make proactive data-informed decisions with Predictive AI. 4. Automate repetitive workflows with Generative AI. With Unipr, the future isn’t just predictable—it’s actionable.

Website
https://www.unipr.com/
Industry
Software Development
Company size
11-50 employees
Headquarters
San Jose, CA
Type
Privately Held
Founded
2022

Locations

Employees at Unipr

Updates

  • View organization page for Unipr, graphic

    188 followers

    Unipr AI Agents streamline project-centric workflows by automating repetitive tasks such as planning, resource allocation, coordination, budgeting, and risk analysis. https://lnkd.in/eSPcsTBy

    View profile for Andy Mehrotra, graphic

    CEO @ Unipr | Operations AI for Life Sciences

    Good talent is hard to find—and even harder to retain when their work becomes monotonous. AI eliminates the mundane and the tedious, making work interesting again and transforming good people into great contributors. Biotech and pharma industries, like most in life sciences, are goal-focused and project-oriented. From research projects and clinical development programs in therapeutic area portfolios to commercial projects and supply chain programs across business units, the entire lifecycle of pipelines is driven by achieving strategic outcomes. With thousands of people working in project-centric workflows supported by hundreds in management and leadership, it’s no surprise that thoughtful execution of carefully planned initiatives is a significant competitive advantage. Yet, it’s no secret that high-impact roles like project managers, program leaders, and portfolio executives are incredibly difficult to recruit. Finding qualified talent is excruciatingly hard—ask any biotech CEO in Boston. But here’s the rub: when these coveted minds spend countless hours on tedious, repetitive tasks, it wastes valuable intellectual potential. AI can help. Today, Unipr is launching the world's first team of AI Agents for project-centric workflows. Unipr AI Agents have mutually exclusive yet collectively comprehensive roles that complement one another on the team, delivering unprecedented value to organizations. Emerging biotechs with limited resources can use Unipr AI Agents as a force multiplier, enabling them to scale their operations with precision and efficiency. When resources are stretched thin, our AI Agents take over repetitive, time-consuming tasks, empowering teams to focus on core innovation and pipeline progression. Meanwhile, established pharma companies with complex global operations can leverage Unipr AI Agents to drive operational excellence. By improving team collaboration, resource utilization, and decision-making, our AI Agents help streamline workflows, enhance employee productivity, and ensure large-scale initiatives run smoothly across multiple regions. Here’s how our AI Agents help: 🔘 Ana Unipr | AI Project Planner Develops comprehensive project plans, including intelligent scheduling, milestone setting, and dependency management. 🔘 Joe Unipr | AI Resource Allocator Analyzes demand, capabilities, and availability to optimize task assignments and match them to people based on skills. 🔘 Bob Unipr | AI Budget Optimizer Provides real-time budget monitoring and predictive expense forecasting to maintain project financial health. 🔘 Mel Unipr | AI Risk Analyzer Identifies potential risks early, analyzes their impact, and recommends mitigation strategies to keep projects on course. Unipr AI Agents work together seamlessly to free your team to focus on what they do best: innovating, strategizing, and driving outcomes. Our demo requests will open in the second half of January, post-JPM. Visit unipr.com to learn more.

    • Introducing World's First Team of Project Agents
  • Consider this: A 200 million deficit in Q4 R&D budget, coupled with significant FTE gaps across functions. This scenario, all too common, stems from our reliance on disconnected workflows and data silos. The solution isn't about forcing everyone onto a single platform. Instead, we need to: 🔗 Unite data, tools, and workflows to accelerate execution 🛠️ Fill capability gaps without disrupting existing tools 📈 Leverage AI for predictive KPIs and leading indicators As Rohan Murty and Sandeep Dadlani note in their HBR article, "In an ideal world, all systems in an organization would be integrated with each other in the backend with APIs and seamlessly talk to each other." At Unipr, we're making this ideal world a reality. By unifying disparate data and generating real-time predictive insights, we're transforming how biopharma companies manage their portfolios and operations. The path to faster, more efficient drug development and commercialization is clear. It's time we embrace the power of connected systems and AI-driven insights. Are you ready to unlock the full potential of your R&D pipeline? Let's connect and explore how Unipr can revolutionize your approach to life sciences innovation. #LifeSciencesInnovation #AIinPharma #DataUnification #UniprTransformation https://lnkd.in/gkvZpXGM

    What’s Lost When Data Systems Don’t Communicate

    What’s Lost When Data Systems Don’t Communicate

    hbr.org

  • View organization page for Unipr, graphic

    188 followers

    In 2023, the global biopharma industry generated $1.6 trillion, with 152 blockbuster drugs contributing $511 billion—a third of the total. Launching blockbusters isn’t optional for the top companies—it’s essential to sustain growth and meet Wall Street expectations. Today, most top biopharma companies get a significant part of their revenues from (blockbusters): AbbVie (11) and Gilead Sciences (7) 83%, Novo Nordisk (9) 80%, Bristol Myers Squibb (8) and AstraZeneca (12) 74%, Novartis (13) and Eli Lilly and Company (6) 72%, Merck (6) 70%, Pfizer (10) 68%, Roche (15) and GSK (10) 59%, Johnson & Johnson (13) 52%, Amgen (9) 49%, Takeda (4) 33%, Sanofi (6) 31%, and Bayer (3) 14%. Yet, leading companies continually leave money on the table every year. Why is that? Complex global launches demand seamless, real-time, cross-functional collaboration. However, siloed workflows, disconnected tools, and fragmented processes continue to disrupt execution. Most teams rely on retrospective metrics, focusing on past actions with little foresight into emerging risks. Also, using static frameworks affects agility. Teams can’t adapt rapidly to dynamic regulatory, competitive, or operational shifts. The launch paradigm for companies launching in 2025 and beyond ought to be: "Same Day Launch" i.e. products available to patients within 24 hours of regulatory approval in every market. No longer a pipe dream, such ambitious goals can be well within reach by refining operations along three pillars: 1. Organizational Alignment: United tools and systems must persistently connect internal and external teams in real-time, eliminating data silos and fostering coordination. Unipr AI Ecosystem does precisely that. 2. Execution Foresight: Predictive AI helps leaders foresee delays, anticipate risks, and mitigate issues before they escalate. Unipr AI is built to predict operational bottlenecks and recommend actionable solutions. 3. Operational Agility: Static plans falter in dynamic environments; tactical agility is essential to pivot effectively when strategies change in response to changes in the launch environment. Unipr AI Platform equips teams to prepare for multiple scenarios and ensures rapid adaptation. Modern launch success isn’t about short-term intense preparation when approval nears. Excellence means enduring cross-functional alignment. So that operating seamlessly is not an exception, its just business as usual. With patent cliffs looming over many top biopharma companies and the exclusivity clock ticking for upcoming launches, operational precision offers extraordinary rewards: faster market entry and competitive advantage. Companies no longer need to leave millions on the table. With foresight, alignment, and agility, executives can ensure upcoming blockbusters reach their full potential—and more patients—without delay. A deeper dive into why current approaches fall short and a new way forward in the article below:

    “Same Day Launch”: Future Blockbusters Needn’t Leave Money on The Table

    “Same Day Launch”: Future Blockbusters Needn’t Leave Money on The Table

    Unipr on LinkedIn

  • Insights from Alison Conlon, former Head of Corporate Operations at Sail Biomedicines: The world of biotech program management isn’t just about timelines—it’s about creating a seamless flow of information across teams and functions, from early research through product development. In biotech, success is measured in years, not weeks, and that means our tools must evolve to support long-term, high-stakes decision-making. Too often, the tools we rely on for planning aren’t built to communicate, which means valuable time is lost gathering updates rather than making quality decisions. Alison notes that adopting advanced technology early on streamlines program operations and scales seamlessly as the portfolio grows. 'If we want different results than what we had in the past, we must do things differently,' she emphasizes. It’s time for tools that eliminate data silos, boost transparency, and automate administrative tasks, so program leaders can focus on strategy and outcomes. As program management evolves, so too must our tech. Here’s to building agile, efficient, and connected biotech organizations. Watch the full interview: https://lnkd.in/gQsacfg6

  • For companies eager to bring AI into operations: start by aligning workflows and unifying your data. In life sciences, we’ve heard the same challenge from over 20 leaders—using too many disconnected tools slows down teams, creating ‘data silos’ that prevent a clear, complete view. On average, companies juggle 5+ project management tools. This setup makes collaboration tough and swapping out tools even tougher. A unified workspace where all teams can share relevant workflows, like the Apple Health app but for projects, has felt like a dream...until now. One biopharma COO shared how Unipr solved this for their teams: ‘Unipr removed hard interfaces between projects; now we move faster without needing constant handoffs. Those friction points are gone.’ Unipr connects projects across tools, letting teams from R&D, Commercial, Manufacturing, and beyond work in sync—without giving up their go-to platforms. If your teams are stuck in disconnected systems, see how Unipr can bring them together for better collaboration and speed. Visit www.unipr.com to learn more.

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  • View organization page for Unipr, graphic

    188 followers

    Unleashing the CEO Within: From Biopharma PM to Industry Leader 🚀 Ever wondered if your role as a PM in biopharma could lead to the C-suite? Our CEO, Andy Mehrotra, shared his thoughts on this transformative journey: 1. PMs possess CEO-like skills: managing without authority, coordinating diverse teams, and laser focus on timelines and deliverables. 2. Yet, PMs often get stuck in tactical tasks, limiting their strategic growth. 3. AI tools can be game-changers, freeing up time for strategic thinking and problem-solving. 4. The key? Making time to think beyond the day-to-day grind. It's time for the biopharma industry to recognize and nurture the leadership potential of its PMs. Who knows? The next visionary CEO might be managing projects right now! #BiopharmaLeadership #ProductManagement #CareerGrowth #AI #Innovation

    Andy, Unipr - Biopharma PM - Talk

    https://www.youtube.com/

  • View organization page for Unipr, graphic

    188 followers

    Why does planning R&D projects in life sciences take so long? Here are two major reasons: 🔄 Asynchronous Planning: Timelines, budgets, and resources are often developed separately by different teams, leading to misalignments. 🕒 Serial Knowledge Collection: Insights from subject matter experts are gathered sequentially, causing delays. Additionally, the lack of high-quality, updated templates means teams often start from scratch, further prolonging the process. If we know our goals, simultaneous planning for timelines, budgets, and resources should take minutes, not weeks. It’s time to leverage AI-enabled solutions to streamline our planning processes and turn inefficiencies into strategic advantages. What steps is your organization taking to improve R&D planning? Let’s discuss!

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  • Unipr reposted this

    View profile for Andy Mehrotra, graphic

    CEO @ Unipr | Operations AI for Life Sciences

    In the coming years, Bristol Myers Squibb, Merck, Amgen, Novartis, and AstraZeneca will experience the highest level of exposure to generic and biosimilar competition, while Vertex, Gilead Sciences, Sanofi, Novo Nordisk, and Eli Lilly will be the least exposed over the 2025-2030 timeframe. From 2030 onward, however, Lilly, Gilead, and Novo are much more likely to take a hit from LOEs alongside companies like Regeneron and Biogen. Vertex, GSK, Pfizer, Takeda, and Amgen are likely to fare the best in terms of LOE exposure from 2030 through 2040. Naturally, companies are eagerly looking to acquire external high rNPV products with the potential to launch in the near term in addition to bolstering their internal R&D pipelines. The hunt for the next generation of blockbusters is on; JPM2025 promises to be fun! Yet, not every blockbuster hopeful will make it to the finish line. It would be okay if the only reason science-based products did not reach their expected potential was because of the biological variables. Today, with the ability to anticipate challenges, plan for alternative scenarios in approvals, reimbursements, and launches, and make predictive decisions to navigate future obstacles, operational variables should no longer limit the potential of years of R&D. Patients should not miss out on timely access to medicines due to preventable delays. Takeaway: The life of a drug is short; make every day count! More here: https://lnkd.in/gzJ4S5bT Reference: https://lnkd.in/gcXghPgz

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  • Imagine if every data point needed to shape a portfolio was available, contextually connected, and updated in real-time—helping you see not only what’s happening today but anticipate what’s around the corner. The power of AI isn’t just in speeding up processes; it’s in orchestrating them with precision, from project timelines to budgets. What if when a milestone shifts, all timelines, resources, and budgets across your entire portfolio adjusted in sync? AI and predictive insights can make this a reality, creating a world where flawless execution is not just a goal, but the norm. Keeping up has never been easier for those willing to embrace change. https://lnkd.in/gnNMeEcW

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