From supersonic aircraft to heavy duty trucks to robotic surgical assistants, this year’s Impact Awards focus on companies that are moving their industries forward.
Launched in 2018, the Impact Awards celebrate the people and teams inside big organizations delivering tangible value — and disrupting the status quo — with new ideas.
Some companies nominated their own initiatives, while others were submitted to the process by InnoLead partners or our editorial team. All were evaluated on the merits of the entry in an unbiased process.
For 2025, we selected 15 finalists, and then a group of industry experts helped us narrow that to eight winners. Congratulations to all! Our winning organizations for 2025:
- Ally Financial
- American Arbitration Association
- EllisDon
- Intuitive Surgical
- The National Institute of Standards and Technology
- Nationwide Insurance
- PACCAR, Inc.
- Wayfair
Winners will be honored at the Impact 2025 conference, which takes place October 20-22nd in Boston.
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Here’s the complete list of 2025 Impact Award Finalists…
Ally Financial: Enterprise AI Platform
Ally Financial is an online-only bank that traces its roots back to 1919, when it was created as a division of General Motors to help auto dealers finance their inventory. It holds $192 billion in assets, and is one of the top 25 financial holding companies in the US. Ally’s enterprise AI platform is transforming customer service, automating summaries for nearly 5 million customer calls with 90 percent accuracy, while saving associates roughly 30 percent of their typical post-call effort. The solution enables agents to focus on meaningful customer interactions instead of note-taking.
Ally is also using AI to increase its customers’ financial literacy about managing their wealth or saving for a down payment on a home. The bank had created articles on those and other topics, but readers would drop off after a couple of paragraphs. The bank used Ally.ai to summarize the longer article, which increased engagement (and they can still click through to read the longer version.)
Ally’s disciplined rollout and robust training make it a model for responsible AI adoption in banking, driving operational efficiency and improved employee satisfaction. (We covered some of Ally’s AI initiatives in March 2025, when we interviewed Chief Information, Data and Digital Officer Sathish Muthukrishnan.)
American Arbitration Association: AAAi Panelist Search Tool
The American Arbitration Association is a not-for-profit provider of arbitration, mediation and alternative dispute resolution services headquartered in New York City.
AAAi Panelist Search, launched in October 2024, is an AI-enabled engine that helps case managers match disputes to qualified arbitrators and mediators. Unlike traditional keyword searches, which can miss relevant matches due to variations in terminology, semantic search identifies related terms and contexts, significantly expanding the range and relevance of results. This helps ensure good matches between case requirements and panelist expertise.
The idea for an AI-enabled arbitrator search tool came from an idea submission by a group of AAA employees. A project team conducted a design sprint and developed a proof-of-concept. Built on technology from OpenAI and Oracle, AAAi Panelist Search was rigorously tested by 40 case managers before the organization released the tool.
The introduction of AAAi Panelist Search has demonstrated immediate results. Previously, assembling a list of suitable arbitrators required manual, labor-intensive reviews, taking 49 minutes for a list of 15, on average. The new AI-driven tool has reduced this process dramatically, to as little as 22 minutes for a list of 15 on average. The tool consistently uncovered highly qualified candidates that may have otherwise been overlooked. AAAi Panelist Search also explicitly supports AAA’s commitment to diversity, transparently indicating diverse candidates and helping case managers achieve at least a 30 percent diverse panel composition, in accordance with AAA’s institutional goals.
Boom Supersonic: XB-1 Aircraft
On January 28th, a prototype aircraft designed by Colorado-based Boom Supersonic became the world’s first independently developed civil jet to break the sound barrier. During its debut, the XB-1 broke the sound barrier three times without an audible sonic boom, validating Boom’s Mach cutoff technology and its promise of “boomless” supersonic travel. This accomplishment could signal the beginning of a new chapter for commercial supersonic aviation. Boom hopes to eventually design, certify, and sell a supersonic plane, the Overture, that would carry 64 to 80 passengers.
While Boom itself isn’t a large enough organization to qualify for an Impact Award on its own (eligible companies technically need at least 1,000 employees and $100 million in revenue), our judges made an exception because Boom has enlisted a number of large partners in its development process — among them Honeywell, Amazon Web Services, and Eaton — and has orders lined up from United Airlines and American Airlines, among others.
Colonial Pipeline Company: Energize for Efficiency
Colonial Pipeline Company, headquartered in Alpharetta, Georgia, operates a 5,500 mile pipeline system between Houston and New York. It carries gasoline, home heating oil, aviation fuel, and other fuel products.
Launched in 2023, Energize for Efficiency (E4E) is a company-wide innovation program that captures employee ideas through an online portal, applies stage-gate governance (scoring for Reach/Impact/Confidence/Effort), funds pilots and scales production-ready solutions. The program has received over 200 idea submissions to date, with about 30 recognized as “wins” and roughly 70 percent of winning ideas addressing operational and technical challenges.
Outcomes reported include multi-million-dollar realized value, accelerated concept-to-production cycles, increased employee engagement, and a repeatable pipeline that surfaces high-impact, feasible ideas for deployment. By institutionalizing innovation through structured evaluation, transparent recognition, and measurable outcomes, Colonial not only unlocked millions in value, but also embedded innovation into its organizational DNA.
EllisDon: Building Digital
EllisDon is a Canadian construction services company headquartered in Mississauga, Ontario.
Building Digital is EllisDon’s technology division focused on digital construction, digital twins, reality capture, predictive maintenance, and centralized operational dashboards. The initiative delivered automated zoning, costing and financial-analysis tools that compressed project-setup work from months to minutes, reality-capture workflows that reduced rework, and predictive maintenance/asset-performance insights that increased uptime for client assets.
At the heart of Building Digital is its digital twin offering, which creates real-time, data-driven virtual replicas of physical assets. These digital twins serve as the foundation for predictive analytics, lifecycle management, and AI-powered decision-making. Over the past 12 months, Building Digital has deployed these solutions across major healthcare, civic, and residential infrastructure projects.
The Building Digital group has transformed the traditional project handover into interactive, time-based 360° walkthroughs, improving as-built accuracy and compliance. They’ve also supported post-disaster site recovery with drone-based rapid scans, cutting insurance claim timelines.
With its origins tracing back to 2021, Building Digital achieved commercial traction in under eight months securing multiple public sector contracts, delivering products to market. The team built a scalable governance model and defined core use cases across verticals. It now consists of 200-plus industry experts in areas like data engineering, virtual design and construction, cybersecurity, and software development.
Supporting firm: Disruptive Edge
Genentech: Lab in the Loop
Genentech’s Lab in the Loop uses continuous AI-driven cycles that integrate laboratory experiments and predictive modeling to advance the drug discovery process, reducing biomarker validation efforts by over thousands of hours and significantly accelerating development timelines. The system automates labor-intensive data review, and its generative AI tools — such as the gRED Research Agent — improve the quality and speed of research decisions.
Notably, Genentech reports that its AI models have engineered antibodies with 10 to 100 times greater “therapeutic affinity” than those selected by traditional methods; this means the AI-optimized antibodies bind to their biological targets with much higher strength and specificity, resulting in better drug efficacy in challenging diseases.
Today, Genentech is using this approach primarily in therapeutic antibody engineering and personalized cancer vaccine development. The South San Francisco company also has a partnership with NVIDIA to accelerate AI model training and molecular prediction, aiming to further speed up cycle times and the pace of discovery.
Intuitive Surgical: da Vinci 5 Surgical Robot
Intuitive Surgical’s da Vinci 5 system, released in 2024, is a major leap in robotic-assisted surgery. The fifth-generation features more than 150 enhancements, such as revolutionary 3D vision, advanced haptic feedback, and automation. The da Vinci system gives surgeons dexterity and control, while keeping the size of incisions small, which can mean less scarring, shorter hospital stays, and quicker recoveries. Since its introduction in 1999, the da Vinci system has been used in more than 15 million surgical procedures worldwide, and in the U.S., it is used in about 75 percent of prostate cancer surgeries.
In July 2025, during the Society of Robotic Surgery (SRS) conference in Strasbourg, France, a da Vinci system enabled surgeons in different countries to perform the same operation collaboratively in real-time — with one team in France and another in the U.S. completing a demonstration procedure over 4,000 miles of distance.
Irdeto: Global Hackathons and Innovation Sabbaticals
Irdeto is a cybersecurity company focused on protecting digital platforms, headquartered in Hoofddorp, Netherlands. Irdeto has a special focus on video games and video content, along with smart mobility.
With roughly 1,000 employees — 70 percent of them engineers — Irdeto runs recurring global hackathons, plus paid innovation sabbaticals, to turn employees’ ideas into prototypes, invention disclosures, patents, and product roadmap items.
The program runs global hackathons yearly with roughly 150–350 participants, and typically yields 25–50 ideas per campaign; about 80–90 percent of ideas progress to a hack day and roughly 20 percent produce useful outcomes. Sabbaticals (about 10 days annually available per employee, to pursue innovation beyond their daily roles) have been used to mature promising hacks. Measured outcomes include roughly 10 invention disclosures and about five patent filings annually; multiple prototypes promoted into product roadmaps; cost-avoidance; and features that supported commercial deals.
Irdeto staff used one sabbatical to test Irdeto’s keyless entry tech in EU-based delivery vehicles, helping scope integration for a prospective customer. The work directly supported a global fleet deal now in rollout. And two 2023 hackathon ideas helped Irdeto evaluate cybersecurity needs in connected health, guiding its entry into this emerging sector.
The program has reinforced an innovation culture rooted in curiosity, collaboration, and execution —turning ideas into real business impact.
Supporting firm: HYPE Innovation
Lucid: Lucid Air Grand Touring EV
When Umit Sabanci drove a Lucid Air Grand Touring sedan from St. Moritz, Switzerland to Munich, Germany in July, he set a new Guinness World Record: the longest distance driven in a production electric vehicle. That trip was 749 miles long, and the Environmental Protection Agency estimates the vehicles range is about 512 miles in more typical usage. That makes the Lucid Air the EV with the longest range. Lucid’s design, engineering, and software innovation — led by Derek Jenkins and Eric Bach — have set new standards for the electric vehicle industry.
The $112,000 price tag is high, even for a luxury EV, but it “has the range, the tech, and the grandeur to justify its hefty price tag,” according to a vehicle review by Car And Driver. While Lucid is headquartered in Silicon Valley, it produces its cars at a vertically-integrated factory in Arizona and Saudi Arabia.
National Institute of Standards and Technology: Drones for Data Gathering
For first responders working in disaster zones or on accident sites, real-time sensor data is essential for making informed decisions when lives and property are in jeopardy.
The National Institute of Standards and Technology (NIST), the U.S. national measurement and standards agency, launched its PSCR UAS 6.0 Challenge to accelerate interoperable drone-mounted sensor and wireless relay systems for use by first responders. Entrants from industry, academia, and public safety agencies designed and demonstrated end-to-end systems combining cameras, environmental sensors and high-power outdoor radios to provide resilient real-time situational awareness in wildfires, floods, infrastructure failure, and hazardous-materials scenarios.
The challenge produced fieldable prototypes and clarified requirements for resilient, constrained-bandwidth data flows; it fostered cross-disciplinary collaboration and advanced technology patterns that will materially advance first-responder situational awareness, field interoperability, and future standards/operations work.
The winning technologies from UAS 6.0 are already reshaping how agencies think about effectively responding to disasters. Winning participants shared their technologies at 5×5: The Public Safety Innovation Summit 2025, an annual conference uniting hundreds of individuals within public safety, and FDIC International, the largest conference and tradeshow for the fire and rescue industry in North America — both environments that foster discussion and ideation for future product development and commercialization benefiting first responders.
Supporting firm: Ezassi
Nationwide Insurance: Resolution Assist
Can large language models help resolve customer complaints faster? A team at Nationwide Insurance, the Ohio-based mutual insurance and financial services company, launched a project earlier this year to find out.
Resolution Assist is an LLM-based workflow that takes member complaints across various channels (letters, calls, emails); turns long narratives into structured summaries; extracts sentiment and root causes; routes complaints to the appropriate resolution analyst; and drafts empathetic responses for analysts to review and edit. The tool also integrates with existing workflows, so frontline analysts can triage with consistent context.
The first month of usage in 2025 processed over 1,000 complaints, with roughly a 70 percent improvement in issue-identification accuracy. (Nationwide expects to process about 15,000 by the end of the year.) Business outcomes include reduced manual review time, faster routing and resolution, clearer visibility for leaders into systemic pain points, lower rework and improved member satisfaction — all achieved without proportional increases in headcount.
Nationwide’s patent-pending approach created a solution that not only surpassed other options in the market, but highlights the power of human and AI partnership, allowing Nationwide to assist its customers faster.
PACCAR, Inc.: Machine Learning Prognostics for Heavy Trucking
Deploying machine learning to detect problems in truck engines may have put PACCAR, a global truck manufacturer best known for its Peterbilt and Kenworth brands, on the road to helping the US trucking industry save $250 million annually.
A new prognostics offering developed at the PACCAR Innovation Center specifically targeted common problems in diesel-powered trucks — especially fuel injector fouling, where carbon deposits clog injectors and disrupt fuel spray patterns, leading to higher emissions, lower fuel efficiency, and costly maintenance issues. The injectors can fail catastrophically, and eventually lead to the need for an engine replacement – a huge expense and major downtime for truck operators.
A lightweight machine-learning model which is the heart of the product. The model is based on about 80 signals out of the many thousands that can be captured from the truck. And the model resides on the truck – as opposed to in the cloud. This edge-compute (as opposed to cloud compute) allows for almost real-time detection — and it doesn’t require continual connectivity.
PACCAR estimates the financial impact of this innovative product in the US trucking industry could be roughly $250 million annually, if it were widely adopted by just five percent of used (not new) heavy trucks on the roads.
Starbucks: Deep Brew AI Platform
Whether you know it or not, Starbucks is already customizing your morning latte with a little machine learning.
With roots going back to 2019, Starbucks Deep Brew is a proprietary AI platform that drives operational efficiency, personalization, and sustainable growth for the global coffee giant. Deep Brew’s machine learning models power dynamic menu recommendations, precision staffing, and predictive analytics, leading to a reported 30 percent ROI and 15 percent higher customer engagement. AI-optimized inventory ordering, powered by Deep Brew, has cut waste by up to 15 percent.
A new generative AI innovation, Green Dot Assist, is intended to free baristas from consulting manuals as they work, alerting them to errors before they occur. It has reduced drink errors by 20 percent while cutting prep time by 30 seconds. Green Dot Assist can also help diagnose equipment issues, and support shift managers who are dealing with real-time scheduling changes, such as last-minute employee call-outs.
Takeda Pharmaceuticals: XD Labs at Takeda
Takeda Pharmaceutical Company is a global biopharmaceutical firm with global headquarters in Tokyo, Japan.
What began as a pop-up in a café with one service designer has grown into a global network of innovation spaces at Takeda Pharmaceutical’s Cambridge, Zurich, and Tokyo offices — with more on the horizon. Takeda is a global biopharmaceutical firm with about 49,000 employees globally.
XD Labs was launched by the Digital Product Excellence (DPX) team within Takeda’s Global Data, Digital, and Technology organization. Its reach spans all levels of the organization — from the executive team to frontline field and manufacturing teams. Through ethnographic research and global workshops, XD Labs has reimagined strategies across Takeda’s therapeutic areas — which include cancer, vaccines, and neuroscience — reinforcing its role as a cornerstone of innovation.
XD Labs has hosted over 400 immersive experiences for more than 3,200 participants, tackling challenges from digital diagnostics to clinical trials and customer experience transformation.
XD Labs has supported high-impact programs, cultivated strategic partnerships, and aligned digital assets with commercial and lifecycle strategies. A key milestone includes launching Takeda’s first global design system — driving cost savings and scalability across the portfolio. XD Labs exemplifies how design thinking can be embedded into core strategy.
Wayfair: AI Catalog Enrichment
The e-commerce site Wayfair has been leveraging Google’s AI model, Gemini, to automatically analyze and categorize millions of products by examining their images and descriptive attributes like color, style, and dimensions. This automated tagging dramatically improves the accuracy and completeness of product listings, meaning shoppers find the most relevant items faster when using filters on Wayfair’s website. For example, if a shopper filters by “blue sofa” or “modern style,” the AI’s improved tagging ensures the results closely match those preferences, increasing conversion rates by around 2 percent.
From a shopper’s perspective, this means a more seamless and satisfying experience. They spend less time scrolling through irrelevant or poorly labeled items and more time seeing options that truly fit their needs. Additionally, the AI helps catch data errors (like incorrect dimensions), ensuring product information is reliable. Gemini also flags inappropriate content, creating a safer, more trustworthy shopping environment. Overall, shoppers benefit from a more personalized, accurate, and enjoyable browsing and buying experience, supported by AI working behind the scenes to keep the catalog well-organized across Wayfair’s offerings in over 200 countries.
(Matt Herman of Wayfair spoke about the company’s use of AI at our 2025 AI Build Day event, focusing on four key areas where Wayfair is using AI to improve the customer experience: to inspire, engage, learn, and personalize.)
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Congrats to all of our 2025 Impact Award finalists! And we’ll see you at Impact next month in Boston!
Thanks to Rachel Gordon, Robyn Bolton, Curtis Michelson, April Bertram, Alan Shuman, and Joia Spooner-Fleming for helping out with the awards judging process this year.
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