At ShadowStream, we envision a future where scientists trust their data implicitly, accelerating research breakthroughs and improving lives. Our platform empowers researchers not only to manage data effortlessly but also to strategically leverage a diverse network of specialized CROs without complexity or risk. By simplifying CRO management, we ensure that drug discovery teams can access the best expertise, avoiding lock-in with large providers and unlocking greater innovation. We are committed to using AI to enhance human decision-making, not replace it—providing intelligent insights that guide researchers without undermining their expertise. Our technology supports better decisions, faster discoveries, and a world where life-saving treatments reach patients sooner.
Our mission is to empower scientists by delivering intuitive, secure, and flexible data management solutions that enhance collaboration and innovation in drug discovery. We reduce data complexity, improve CRO utilization, and deliver reliable insights to support faster, more informed decision-making. Our team thrives on solving hard problems and takes pride in building tools that researchers love to use.
We’re not trying to disrupt for the sake of it. We’re here to build something dependable, grounded, and genuinely useful. With the right experience, the right team, and the right focus, we believe ShadowStream can become a trusted partner for drug discovery teams who just want their data and their CROs to work the way they should.
More than just software: ShadowStream isn’t just a platform. It’s a team. We’ve worked in the same environments you do, so we understand the real challenges behind the data. When you work with us, you’re not just buying a tool. You’re gaining a partner who gets it.
Own your data: At ShadowStream, we believe customers must have full control over their data—who can access it, how it’s stored, and where it goes. We’re firmly against vendor lock-in. If you ever decide to move your data elsewhere, it’ll be just as easy to take it out as it was to put it in.
Confidence in data integrity: You shouldn’t have to double-check your own work because your software can’t keep up. ShadowStream automatically standardizes and validates data, so what you see is clean, consistent, and ready to use.
Accelerated research workflows: We've been in the trenches and know firsthand how bad workflows slow down good science. Chasing spreadsheets, fixing mismatched columns, or waiting on updates from a CRO shouldn't be part of the job. ShadowStream handles the grunt work so your team can focus on experiments, not file formats.
Enhanced CRO utilization: Knowing which CRO or collaborator is delivering and which one needs more support can make or break a project. ShadowStream tracks and compares performance across your partners, giving you the clarity to make confident, informed decisions and the flexibility to work with the right specialist for each job.
Augmented decision-making: We think AI should support human judgment, not replace it. ShadowStream highlights patterns, trends, and potential issues so you can make faster and better-informed decisions while staying in control the whole time.
User experience: We get that spending hours learning a new tool just to save time later feels like one step forward and two steps back. ShadowStream is built to be simple from the start so scientists can get to work without the training manual.
We believe that when the team works well together, customers feel the difference. Strong internal culture leads to faster problem-solving, better communication, and a shared focus on doing what’s right for the people who rely on us. When our team trusts each other and takes pride in their work, it shows in the product and in every customer interaction. That’s what we’re aiming for, a great culture that creates real outcomes.
Problem-solving mindset: We don’t shy away from hard problems. In fact, we enjoy them. Whether it's debugging a tricky issue, designing a better workflow, or figuring out why a customer’s integration isn't working as expected, we tackle it together. We ask questions, challenge assumptions, and keep going until it works. Solving tough problems is part of the job, and we take pride in doing it properly.
Customer success focus: Our best stories aren’t about us. They’re about the scientists who solved a problem faster, hit a milestone earlier, or avoided a costly mistake because of something we helped build. That’s what motivates us. We listen closely to their feedback, whether it's praise or criticism, because it helps us improve and reminds us why the work matters. When our customers succeed, that’s the win we care about most.
Trust and communication: We assume good intentions. If something feels off or a decision doesn't make sense, we talk it through. No silent resentment, no behind-the-scenes politics. Just honest conversations grounded in respect and a shared goal of doing what’s best for the customer and the product.
Flexible work environment: We care about outcomes, not hours. If the work gets done and the quality is high, it doesn’t matter where or when it happens. Our team is distributed across the Pacific, from Australia to San Diego, and we’re used to working and communicating at all hours of the day. Some of us are early risers, others hit their stride late at night. Some work from home, others from shared spaces. What matters is that we support each other and stay accountable to the team.
Commitment to quality: We don’t cut corners. Our customers rely on us to get things right, and we take that seriously. That means writing clean code, testing thoroughly, owning mistakes, and fixing them quickly. Whether it's a UI detail or a backend data process, we sweat the small stuff because we know it adds up. Quality isn't a checklist. It's how we work.
We’ve lived the problems ShadowStream is built to solve. We know what it’s like to lose time cleaning up data, chasing down CROs for results, or trying to make decisions with incomplete information. We’ve worked as scientists, data managers, and collaborators across the research pipeline, and we’ve built tools to fix the things that used to slow us down. That mix of lived experience and execution focus is what makes us confident we can deliver something that actually works.
Proven market need: The need for better data and CRO management isn’t theoretical. We’ve seen it firsthand and heard it from countless scientists, project managers, and operations leads. ShadowStream was born out of this reality, not a hypothetical market.
Experienced team: Our backgrounds span SaaS, biotech, and research informatics. We’ve built and deployed platforms in real-world settings, and we know how to deliver software that actually gets used. We’re not guessing at what the industry needs, we’ve been part of it for years.
Trust and relationships: Many of us have worked together before, and our customers know us by name. We’re proud of the long-term relationships we’ve built with researchers, vendors, and partners, and we bring that same mindset to every new project.
User empathy: We’ve been the end users. We’ve struggled with messy spreadsheets, siloed systems, and clunky handoffs between teams. That experience shapes how we build. We focus on simplicity, clarity, and control, because that’s what we always wanted when we were on the other side.
Responsible AI: We don’t believe in handing over decisions to machines. Our AI features are designed to support human judgment, not replace it. We surface insights, flag issues, and give context so scientists can move faster without losing control.
