
Customer Stories
How the world's most innovative R&D organizations use Cypris to move faster, de-risk their projects, and make smarter strategic decisions.
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About Brooks Running
Brooks Running is a Seattle-based performance running company and subsidiary of Berkshire Hathaway. Founded in 1914, Brooks has spent over a century focused on creating high-performance running footwear, apparel, and gear. The company takes a runner-first approach to everything it does, grounding its product development in biomechanics research and a deep commitment to understanding how runners move. Brooks products are available in more than 60 countries worldwide.
The Challenge
Innovation in footwear is not just about keeping up with what is new. It is about knowing where to look and deciding what matters.
For the Footwear Innovation team at Brooks Running, the work centers on exploring, prototyping, and testing new ideas and technologies that could shape future product platforms. The team studies emerging materials, construction methods, and systems to understand how they might meaningfully improve the runner experience. They are guided by biomechanics and driven by curiosity, often pulling inspiration from industries well beyond running.
But with that breadth comes a real challenge: deciding where to focus. New materials, technologies, and ideas surface constantly, and it is not always clear which ones will have real impact for runners. A lot of the team's work comes down to looking ahead, understanding where runners' needs might be several years out, and making educated guesses about which technologies could be relevant in the future.
The information they need to make those decisions exists, but it is scattered. Research papers, supplier updates, media, and developments from adjacent industries all hold pieces of the picture, but stitching them together requires significant manual effort. That process is not only time-consuming but can affect how well the team synthesizes everything into a clear, actionable view.
As a small team working in early-stage exploration, the challenge was never a shortage of ideas. It was building enough context to focus resources where they matter most, without losing the flexibility to experiment, learn, and pivot as new information comes in.
The Solution
The team set out to improve how they gather and digest external information early in the innovation process. Rather than relying on one-off searches or fragmented inputs, they wanted a more efficient way to build context across materials, technologies, and external industries before committing resources to deeper exploration.
Cypris has complemented their existing workflow by offering specialized agents that help the team efficiently understand what is happening across a given space. They use these tools alongside their exploration and developmental process to organize information and reach a clearer starting point faster.
The agents have reduces the time spent searching and stitching information together, helping the team focus earlier and with more confidence while still leaving room to adapt as new inputs emerge.
The Impact
The most significant change has been clarity and confidence early in the process. With better visibility into what is happening across technologies and industries, the team can start discussions more easily and make more informed decisions about where deeper exploration is warranted.
Better organization and access to information has also helped the team move faster. By getting aligned more quickly, they spend less time gathering and more time doing what they do best: prototyping and learning.
Looking ahead, this improved approach brings more focus to the team's innovation work. It allows them to spend more time in the areas that matter most while still staying flexible as they learn and discover new information. For a team whose job is to look around corners and find what is next for runners, that kind of clarity is a meaningful advantage.
How Brooks Running's Innovation Team Builds Clarity in Early-Stage R&D
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About Los Alamos National Laboratory
Los Alamos National Laboratory (LANL) is a multidisciplinary, federally funded research and development center in northern New Mexico. Founded in 1943, the Laboratory's mission is to solve national security challenges through science, technology, and innovation. Within LANL, the Richard P. Feynman Center for Innovation (FCI) operates at the intersection of technology commercialization, entrepreneurship, and industry engagement, translating breakthrough science into real-world impact by aligning lab-developed technologies with market needs, supporting startup formation, and building partnerships with industry.
The Challenge
National labs like LANL generate extraordinary science, but translating that science into commercial impact presents systemic challenges. The Feynman Center needed to engage industry partners with clear, data-driven narratives, prioritize which technologies to advance, and align advanced R&D with real market needs across both commercial and national security applications.
The information required to make those decisions well was fragmented across multiple systems and formats. Technical data, patents, publications, and market signals lived in different places, held by different people. Synthesizing all of it into actionable insight was time-intensive and often inconsistent, and the traditional tools and workflows available made it difficult to move quickly or operate at scale.
Left unaddressed, these bottlenecks in the tech transfer process limited the Center's ability to proactively connect innovation with industry demand. The risk was not just inefficiency. It was that breakthrough technologies with real commercial potential would stall before ever reaching the market.
The Solution
The Feynman Center's approach has been to build a more structured, intelligence-driven commercialization agents, with AI playing a central role in standardizing how the team explores and evaluates technology transfer opportunities.
The team developed standardized workflows to consistently identify commercialization pathways and generate recommendations on how to steer technologies toward more viable market outcomes. Initially, Cypris was valuable for search-driven discovery, helping the team identify relevant patents, research, and technical signals through targeted queries.
More recently, the evolution toward workflow tools like Report Builder has been especially impactful. Instead of just finding information, the team can now generate structured, shareable reports, including Innovation Scorecards that incorporate landscape analyses, whitespace opportunities, partnership recommendations, and commercialization plans that directly support decision-making. These reports can be continually upgraded with new information, and shared folders allow any team member to pick up where another left off on a commercialization project.
The Impact
This shift has improved both the speed and clarity of the Feynman Center's commercialization efforts. The team can move from raw data to actionable insight more quickly, strengthening its ability to evaluate opportunities and engage partners with compelling, evidence-based narratives.
Innovation Scorecards are now integrated at the start of the Center's internal Design Sprints and the University of California/LANL Entrepreneur Postdoc Accelerator. These analyses enable staff and postdocs to begin market and customer discovery with a more targeted approach from day one. They also equip program leads with deeper insight into the technologies involved, improving how participants are supported throughout these programs.
Greater visibility into technology landscapes and industry activity has strengthened alignment both internally across teams and externally with potential partners. This leads to more informed prioritization and greater confidence in how the Center allocates resources across partnership, licensing, and spinout opportunities.
Looking ahead, the potential impact is significant. By systematically connecting LANL's technology portfolio with industry needs, the Feynman Center can prioritize high-potential opportunities, reduce time spent on low-probability pathways, and accelerate commercialization outcomes, increasing the likelihood that breakthrough innovations successfully reach the market.
Toexplore technologies available for licensing or partnership from Los AlamosNational Laboratory, visit: https://www.lanl.gov/engage/collaboration/feynman-center/tech-and-capability-search
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About SEH
SEH is a US-based semiconductor materials company and subsidiary of a Japanese parent organization. With a leading position in its primary market, SEH's product development team works at the intersection of customer roadmaps and broader technology trends, advising on market direction and identifying the commercial opportunities most worth pursuing.
The Challenge
In semiconductor materials, staying competitive means knowing what is coming before it arrives.
SEH's product development team works closely with both integrated device manufacturers and fab-less companies, many of which have materials requirements that fall outside standard industry offerings. Responding to those requests well requires more than technical expertise. It demands a clear view of where technologies are heading, which emerging applications could generate real market demand, and where SEH's unique material properties could create a defensible advantage.
That kind of intelligence does not come easily. The team needed to understand technology trends across a wide landscape, from adjacent market opportunities to supply chain dynamics to the IP positions of competitors. And they needed to do it with a lean team and limited time, often making consequential decisions about new product directions.
The previous approach had real limits. Without dedicated resources for deep research, it was easy to make decisions based on incomplete information, or to delay a decision entirely and miss a trend altogether. Some of the most relevant data was locked behind paywalls or buried in technical literature and patent filings that were difficult to surface through conventional research methods. The team was also heavily focused on its primary customers, which meant adjacent markets that could represent meaningful opportunities were not getting enough attention.
The risk was not just inefficiency. It was strategic. Missed signals in a fast-moving market can translate directly into missed opportunities and ceded ground to competitors.
The Approach
SEH turned to Cypris to extend the team's research capacity and improve the quality of intelligence flowing into product and market decisions.
The Cypris platform opened access to sources that had previously been out of reach, including content behind paywalls and harder-to-find technical references. When the team needed specific documents they could not locate directly, the Cypris team stepped in to source them. That kind of support made a meaningful difference for a team that could not afford to spend weeks chasing down individual references.
Weekly monitoring reports became a core part of how SEH stays current. The team set up automated summaries on topics including advances in quantum computing and a key competitor, receiving an executive summary by email each week with deeper detail available on the platform. Over time, Cypris refined the format and presentation of these reports based on SEH's feedback, making them increasingly useful as a regular input into the team's awareness of what is changing in the market.
For deeper exploration, SEH has relied on Cypris Research Briefs to investigate specific technology areas, adjacent markets, and competitive landscapes. Each brief was produced to the team's specifications and delivered at a level of quality that could be shared with confidence at the executive level, including with R&D groups within their Japanese parent company.
The Impact
The impact of working with Cypris has been felt both in day-to-day research efficiency and in higher-stakes decisions about where to direct product development resources.
Sharing Cypris outputs with the parent company has strengthened the US team's ability to present opportunities clearly and credibly. R&D groups that reviewed the Research Briefs commented on the quality of the work, and the briefs have helped the team make a stronger case for new directions than internal resources alone would have allowed.
One of the most distinctive outcomes came from a custom engagement with Cypris to develop a quarterly market direction report focused on the industrial semiconductor segment. This is a part of the market that traditional industry analysts tend to overlook, typically devoting their coverage to automotive, communications, PC, and data center applications. Because several of SEH's products are heavily utilized in industrial applications, and because that segment operates on different technology cycles than leading-edge fabs, the team needed a purpose-built view.
Cypris developed a methodology to access and analyze relevant data and translate it into directional signals for SEH's product shipments. The resulting quarterly report has become a valued input into how the team reads the market and anticipates where demand is heading.
For a team navigating constant change with limited bandwidth, that combination of ongoing monitoring, deep research capability, and custom analysis has made it possible to act on better information, faster.
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About NOV
NOV is a leading independent equipment and technology provider to the global energy industry, headquartered in Houston, Texas. Originally founded in 1862, the company operates across more than 500 locations on six continents. NOV has pioneered and refined key technologies to improve the economic viability of frontier resources, including unconventional and deepwater oil and gas, while also applying its deep expertise to help advance the transition toward sustainable energy.
The Challenge
There is one thing that can never be bought back, and that is time. Across every sector and industry, teams are being asked to do more with the same hours in a day. For NOV's research team, the time required to properly scout and vet emerging technologies is significant, and when that process is not efficient, opportunities get missed and key information goes unconsumed.
Technology scouting demands deep, focused effort. Searching across technical landscapes, evaluating what is relevant, and synthesizing findings into actionable decisions is inherently time-intensive. NOV's team needed a way to sustain their innovation momentum by making the time they had dramatically more productive.
The Solution
NOV's approach centers on a powerful idea: give powerful tools to individuals that can effectively force multiply their specialty. The team describes this using the military concept of force multiplication, where embedding specialized operators into common units transforms them into higher-functioning groups. Applied to R&D, the goal is the same. Take highly effective researchers and technical experts and place them in a collaborative environment that accelerates the search process and shortens the workflow so that more can be accomplished in the same time span.
Cypris fits into this strategy as that collaborative environment. Instead of each researcher independently searching across disparate sources, the platform creates a shared space where search results are captured, organized, and made accessible to the broader team. Not everyone approaches finding technical content the same way. By centralizing the discovery process, the platform allows specialists to create search spaces based on their specific areas of interest and then collaboratively and quickly sort through results to evaluate or make decisions about various technology opportunities.
The tool does not replace NOV's existing research capabilities. It enhances them by removing friction from the most time-consuming parts of the process and creating a foundation for faster, more informed collaboration.
The Impact
The measurable effect has been time itself. What took weeks now takes days in searching and collecting vital information to make decisions on technologies. That acceleration matters for a team focused on staying ahead of the technology landscape.
The collaborative nature of the platform has also changed how the team works together. Having a shared space where the results of a search are captured and visible enhances and propels the process far beyond what manual searching can achieve. The platform allows specialists to create search spaces based on their needs and then collaboratively and quickly sort through results to evaluate or make decisions about various technology opportunities.
Looking ahead, NOV sees Cypris as a lasting part of their technical arsenal. The tool will continue to be a valuable piece of NOV's research efforts, helping the team move faster from discovery to decision.

About Glen Raven
Glen Raven is a family-owned textile company founded in North Carolina in 1880. What began as a cotton mill has evolved into a global leader in performance fabrics, with operations in the United States, France,and China. The company manufactures Sunbrella®, Dickson®, and GlenGuard® brand performance fabrics for applications including awnings, marine covers, indoorand outdoor upholstery, flame-retardant protective apparel, and solar protection.
Glen Raven’s R&D team sits at the heart of the company’s innovation efforts, responsible for evaluating raw materials, creating new products and related patents, and scaling new programs with confidence.
The Challenge
For an R&D team tasked with developing the next generation of performance fabrics, staying at the forefront of innovation requires more than laboratory expertise. It requires deep, continuous awareness of what’s happening across the broader technology and competitive landscape,from new raw materials entering the market to emerging patent activity fromglobal competitors.
Glen Raven’s R&D team needed a way to keep pace with the speed and complexity of that landscape. Conducting thorough patent searches,monitoring competitive technology advancements, and producing reliable market research reports all demanded significant time and resources. The challenge was compounded by the breadth of Glen Raven’s portfolio: with products spanning marine, shade, upholstery, and protective apparel, the team needed to track innovation across multiple technical domains simultaneously.
Traditional research methods, including manual patent database searches, fragmented market intelligence, and time-consuming report generation, were straining the team’s capacity. What they needed was a resource that could accelerate the research process, consolidate information from disparate sources, and deliver concise, reliable outputs without compromising confidentiality.
The Solution
Glen Raven turned to Cypris to address these challenges. The platform provided the team with a confidential, firewall-protected resource tofind the information they needed, whether they were conducting self-directed searches through the Cypris portal or engaging Cypris Research Analysts when time constraints demanded it.
That combination of self-serve capability and expert-assisted research proved to be a game-changer. As the Glen Raven R&D team described it, Cypris offers “a tremendously flexible and powerful combination of resources that speeds up the end product of producing concise, reliable reports on new topics.”
Cypris became embedded in two critical areas of Glen Raven’s R&D operations:
Patent Strategy and Technology Competency. Cypris expanded Glen Raven’s ability to gain visibility into relevant patent and technology developments and support informed innovation decisions. For a company that actively creates andprotects intellectual property, this kind of structured, ongoing patent intelligence is essential to maintaining a competitive edge.
Market Research and Competitive Intelligence. Cypris also strengthened Glen Raven’s market research capabilities through its Research Briefs and Custom Reports. These tools allowed the team to pinpoint exactly the answers they needed from publicly available information, distilling complex, scattered data into actionable insights that could inform product development and strategic decisions.
Beyond the core capabilities, the Glen Raven team also noted Cypris’s commitment to continuous improvement. The platform has been aggressivein adding new functionality, with frequent advancements to strengthen the customer interface, speed, and simplicity of the experience.
The Impact
The results have been felt across Glen Raven’s R&D function. The team now operates with greater discipline and visibility across the competitive patent and technology landscape. They can track what competitors are filing, identify emerging technical trends, and spot opportunities or risks earlier than before.
Their market research capabilities have deepened as well. Where deep-dive research projects once required significant manual effort, the team can now produce comprehensive analyses faster and with greater confidencein the underlying data.
Perhaps most importantly, the partnership has built trust. Glen Raven views Cypris not just as a software vendor, but as an extension of their own technical team. That kind of confidence, in both the platform’s capabilities and the people behind it, has allowed the R&D team to move faster and focus their energy where it matters most: developing the next breakthrough in performance fabrics.
For a company that has been innovating for over a century,that’s exactly the kind of partner you want in your corner.
Sunbrella®, Dickson®, and GlenGuard® are the property of Glen Raven, Inc or its affiliates.
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About Brooks Running
Brooks Running is a Seattle-based performance running company and subsidiary of Berkshire Hathaway. Founded in 1914, Brooks has spent over a century focused on creating high-performance running footwear, apparel, and gear. The company takes a runner-first approach to everything it does, grounding its product development in biomechanics research and a deep commitment to understanding how runners move. Brooks products are available in more than 60 countries worldwide.
The Challenge
Innovation in footwear is not just about keeping up with what is new. It is about knowing where to look and deciding what matters.
For the Footwear Innovation team at Brooks Running, the work centers on exploring, prototyping, and testing new ideas and technologies that could shape future product platforms. The team studies emerging materials, construction methods, and systems to understand how they might meaningfully improve the runner experience. They are guided by biomechanics and driven by curiosity, often pulling inspiration from industries well beyond running.
But with that breadth comes a real challenge: deciding where to focus. New materials, technologies, and ideas surface constantly, and it is not always clear which ones will have real impact for runners. A lot of the team's work comes down to looking ahead, understanding where runners' needs might be several years out, and making educated guesses about which technologies could be relevant in the future.
The information they need to make those decisions exists, but it is scattered. Research papers, supplier updates, media, and developments from adjacent industries all hold pieces of the picture, but stitching them together requires significant manual effort. That process is not only time-consuming but can affect how well the team synthesizes everything into a clear, actionable view.
As a small team working in early-stage exploration, the challenge was never a shortage of ideas. It was building enough context to focus resources where they matter most, without losing the flexibility to experiment, learn, and pivot as new information comes in.
The Solution
The team set out to improve how they gather and digest external information early in the innovation process. Rather than relying on one-off searches or fragmented inputs, they wanted a more efficient way to build context across materials, technologies, and external industries before committing resources to deeper exploration.
Cypris has complemented their existing workflow by offering specialized agents that help the team efficiently understand what is happening across a given space. They use these tools alongside their exploration and developmental process to organize information and reach a clearer starting point faster.
The agents have reduces the time spent searching and stitching information together, helping the team focus earlier and with more confidence while still leaving room to adapt as new inputs emerge.
The Impact
The most significant change has been clarity and confidence early in the process. With better visibility into what is happening across technologies and industries, the team can start discussions more easily and make more informed decisions about where deeper exploration is warranted.
Better organization and access to information has also helped the team move faster. By getting aligned more quickly, they spend less time gathering and more time doing what they do best: prototyping and learning.
Looking ahead, this improved approach brings more focus to the team's innovation work. It allows them to spend more time in the areas that matter most while still staying flexible as they learn and discover new information. For a team whose job is to look around corners and find what is next for runners, that kind of clarity is a meaningful advantage.
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About Talking Rain
Talking Rain is a privately held beverage company headquartered in Preston, Washington. Founded in 1987, the company is best known for its flagship brand, Sparkling Ice, and has grown into a prominent leader in the sparkling and still water category.
The Challenge
For Talking Rain, maintaining a competitive edge requires a continuous pipeline of new product innovations. But moving ideas from initial concept to actionable projects requires extensive research across patents, emerging technologies, scientific literature, and market intelligence.
Traditionally, much of this work was manual, time-consuming, and dependent on external expertise. Prior art searches alone could require legal professionals billing approximately $600 per hour, while broader technology scouting and competitive research involved gathering and synthesizing information from disconnected sources.
These bottlenecks limited the team's ability to evaluate new opportunities quickly and consistently, slowing the velocity at which new innovation projects could advance.
Talking Rain needed more than a faster research tool. They needed a way to execute the underlying research workflows at scale.
The Solution
Talking Rain partnered with Cypris to develop bespoke AI research agents designed around the company's innovation workflows.
Rather than simply giving researchers access to better search tools, Cypris enabled the team to delegate complex research tasks to specialized agents capable of executing work across technical, intellectual property, and market intelligence domains.
These agents were configured to perform critical innovation workflows, including analyzing patent landscapes, investigating emerging technologies, identifying competitive developments, and synthesizing research into actionable findings.
By combining Cypris' global intelligence infrastructure with agents tailored to Talking Rain's specific research needs, the company established a repeatable process for evaluating new opportunities.
Work that previously required multiple manual research steps could now be executed by AI agents, enabling researchers to focus their attention on interpreting findings, prioritizing opportunities, and advancing promising projects.
The Impact
6X increase in new project velocity.
By deploying bespoke Cypris Agents, Talking Rain achieved a sixfold increase in new project velocity, fundamentally changing how quickly its team could move innovation opportunities forward.
Instead of spending significant time gathering information, conducting repetitive searches, and assembling research, the team could rely on specialized agents to execute much of that work.
The result was a more scalable innovation process, enabling Talking Rain to:
- Accelerate new projects: Move innovation opportunities through research and evaluation significantly faster.
- Expand research capacity: Investigate more technologies, competitive developments, and potential opportunities without proportionally increasing manual workloads.
- Reduce research costs: Decrease reliance on expensive external research engagements for routine patent and technology intelligence.
- Improve decision-making: Equip teams with structured, cross-domain intelligence to evaluate opportunities with greater speed and confidence.
For Talking Rain, Cypris has evolved beyond a research platform into an AI workforce supporting the company's innovation process, demonstrating how purpose-built agents can dramatically increase the velocity of corporate R&D.
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About STAAR Surgical
STAAR Surgical is a global ophthalmic medical device company specializing in the design, development, manufacturing, and commercialization of implantable lenses and their accompanying delivery systems. The company's flagship products, the EVO Visian ICL and Visian ICL, address a wide range of visual disorders including myopia, hyperopia, astigmatism, and presbyopia. Available in over 75 countries, these foldable lenses have surpassed one million implantations globally, offering patients a path to visual independence without reliance on glasses or contact lenses.
The Challenge
For a company operating at the intersection of optics, materials science, and global regulatory environments, staying current is not optional. STAAR Surgical's teams rely on deep, timely research to support patent analysis, competitive intelligence, and scientific literature review across multiple disciplines and geographies. The stakes are high: gaps in market understanding can directly influence product strategy, investment decisions, and competitive positioning.
The problem was the mechanics of gathering that intelligence. The team was dependent on public search tools that were neither built for the complexity of their research needs nor capable of keeping pace with how quickly the landscape was changing. Accessing data across patent filings, scientific literature, competitive activity, and global market trends meant moving between multiple sources, duplicating effort, and spending significant time aggregating information that should have been immediately accessible.
Manually managing a data environment that changes daily was simply not sustainable. With research workstreams spanning patent analysis, competitor monitoring, and emerging technology assessment, the team needed a better foundation for the work. Missing even a single development in a fast-moving market could have meaningful downstream consequences for how STAAR Surgical directed its resources and shaped its roadmap.
The Solution
STAAR Surgical integrated the Cypris Innovation Dashboard into its market intelligence function, bringing together patent data, scientific research, competitive activity, and global market trend signals into a single, unified platform. The intuitive interface and interactive visualization tools allowed the team to quickly orient themselves within complex data environments, evaluate competitive positioning, and track developments across key innovation areas in real time.
With access to over 500 million global data points, the platform eliminated the fragmentation that had previously slowed the team down. Rather than stitching together information from multiple disconnected tools, researchers could now move from question to insight within a single workflow. The platform's ability to aggregate and surface relevant signals across such a broad data landscape meant that meaningful developments were no longer at risk of being overlooked.
Cypris Research Briefs further extended the team's capacity, providing structured, analyst-supported intelligence that could be incorporated directly into strategic planning. Together, these capabilities gave STAAR Surgical a more complete and continuously updated picture of the global innovation environment they were operating in.
The Impact
With Cypris in place, STAAR Surgical's market intelligence team gained the ability to operate with a level of coverage and speed that manual methods could not support. The team could scrutinize competitor tactics and strategies with far greater precision, identify market prospects as they emerged, and assess the influence of global trends on their own operations before those trends became widely visible.
Accessing and synthesizing data from diverse sources became a streamlined part of the workflow rather than a bottleneck. This gave the team a stronger foundation for understanding customer motivations, evaluating emerging research, and making informed decisions about where to focus innovation efforts. The confidence that comes from knowing the global data landscape is being monitored continuously changed how the team approached strategic planning.
For a company with a global commercial footprint and products that depend on staying ahead of both the science and the competitive environment, the shift from reactive research to proactive intelligence has had a direct effect on how STAAR Surgical pursues its mission of delivering visual independence to patients worldwide.

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