Unlocking AI’s Potential: Recent Case Studies in Open Innovation

Introduction

As artificial intelligence (AI) continues to reshape industries, companies and governments are realizing that no single entity can innovate alone. Open innovation, where organizations partner with external players like startups, universities, and other corporates, is driving AI development at an unprecedented scale. By collaborating across sectors, organizations can access a broader pool of resources and expertise, accelerating the development of groundbreaking AI solutions. Here, we explore three recent case studies that demonstrate how corporations and startups have teamed up to deliver impactful AI-driven innovations.

Case Study 1: Bosch & Teralytics: Optimizing Urban Mobility Through AI

Case Study 1: Bosch & Teralytics: Optimizing Urban Mobility Through AI

Background

In an effort to modernize urban mobility systems and address growing concerns around traffic congestion and air pollution, Germany-based automotive giant Bosch partnered with Swiss startup Teralytics, a data analytics company. Bosch, known for its prowess in industrial technology, saw an opportunity to leverage AI and big data to enhance its mobility solutions.

Challenge

With growing urban populations, cities worldwide face transportation challenges such as congestion, pollution, and inefficiency. Bosch wanted to implement AI-driven solutions to enhance urban mobility but needed access to high-quality mobility data. As a corporate leader in mobility solutions, Bosch sought external expertise in real-time data analytics and AI modeling.

Company and Startup Introduction

Bosch
  • Industry: Engineering and Technology
  • HQ: Gerlingen, Germany
  • Revenue: €91.6 billion (2023)
  • Employees: 429,000 (2023)
Teralytics
  • Industry: Data Analytics and AI
  • HQ: Zurich, Switzerland
  • Employees: 107 (2023)
  • Last Funding Stage: Series D ($17.5 million, 2019)

Solution

Bosch partnered with Teralytics to deploy AI-powered mobility analytics systems that analyze the movements of people in urban environments. Teralytics' AI platform processes large-scale, anonymized data from mobile networks, providing valuable insights into urban traffic patterns, public transportation usage, and air quality. Bosch integrated these insights into its urban mobility solutions, helping cities optimize traffic flow and reduce emissions.

Impact

The collaboration led to the development of smart mobility solutions now deployed in major cities across Europe. Data-driven decision-making has helped cities reduce traffic congestion by up to 25%. Digital use cases could decrease up to 5% of greenhouse gas emission globally by 2025. The partnership also allowed Bosch to expand its AI portfolio and provide enhanced services to city governments, while Teralytics benefited from access to Bosch's global network.

Case Study 2: Microsoft & OpenAI: Scaling Generative AI for Business Solutions

Case Study 2: Microsoft & OpenAI: Scaling Generative AI for Business Solutions

Background

In 2019, Microsoft, a leading technology company, formed a strategic partnership with OpenAI, a San Francisco-based AI research lab known for developing powerful AI models, including GPT (Generative Pre-trained Transformer) models. Microsoft aimed to incorporate OpenAI’s generative AI technology into its Azure cloud platform, providing enterprises with advanced AI tools.

Challenge

Enterprises around the world were seeking ways to incorporate AI into their business operations, but many lacked the infrastructure and expertise to leverage generative AI. Microsoft wanted to provide these businesses with accessible and scalable AI solutions, but building proprietary AI models would be costly and time-consuming.

Company and Startup Introduction

Microsoft
  • Industry: Technology
  • HQ: Redmond, Washington, USA
  • Revenue: $211.92 billion (2023)
  • Employees: 221,000 (2023)
OpenAI
  • Industry: AI Research and Development
  • HQ: San Francisco, California, USA
  • Employees: 1700 (2024)
  • Last Funding Stage: Corporate Round (1B, 2019, led by Microsoft)

Solution

Microsoft integrated OpenAI’s GPT models into its Azure AI services, allowing businesses to deploy generative AI for applications like automated content creation, software development, and customer support. The partnership enabled enterprises to use cutting-edge AI without building infrastructure from scratch. OpenAI’s technology was also made available through APIs, empowering developers and businesses to create custom AI applications tailored to their needs.

Impact

The collaboration resulted in a sharp rise in Azure’s adoption among enterprises. Following the partnership, Azure's revenue increased 59% in Q1 2020, 62% in Q2, and 59% in Q3. Additionally, businesses across industries, including healthcare, retail, and finance, reported improvements in operational efficiency and customer satisfaction due to the automation and AI tools powered by OpenAI’s models. By 2023, OpenAI’s generative models were generating $3.4 billion in annual revenue, further boosting Microsoft's cloud business.

Case Study 3: AstraZeneca & BenevolentAI: AI-Driven Drug Discovery

Case Study 3: AstraZeneca & BenevolentAI: AI-Driven Drug Discovery

Background

AstraZeneca, a global leader in pharmaceuticals, has long been at the forefront of drug development. In 2019, the company embarked on a strategic partnership with UK-based BenevolentAI, a biotechnology startup that applies AI to accelerate drug discovery. Together, they aimed to leverage AI to discover novel therapies for chronic diseases.

Challenge

The traditional drug discovery process is lengthy and expensive, often taking over a decade and costing upwards of $2.6 billion per drug. AstraZeneca sought to cut this time and cost by using AI to identify potential drug candidates faster and with greater precision, especially for conditions like chronic kidney disease and idiopathic pulmonary fibrosis.

Company and Startup Introduction

AstraZeneca
  • Industry: Pharmaceuticals
  • HQ: Cambridge, UK
  • Revenue: $45.8 billion (2023)
  • Employees: 89,900 (2023)
BenevolentAI
  • Industry: Biotechnology, AI Drug Discovery
  • HQ: London, UK
  • Employees: 260 (2023)
  • Last Funding Stage: Series C ($90 million, 2019)

Solution

AstraZeneca and BenevolentAI co-developed an AI-powered drug discovery platform that analyzed vast amounts of biomedical data to identify promising drug candidates. BenevolentAI’s algorithms processed scientific literature, clinical trial data, and genomic information to pinpoint potential therapies. AstraZeneca then tested these candidates in its labs, significantly accelerating the early stages of drug discovery.

Impact

Within three years of the partnership, AstraZeneca had identified several promising compounds for further development. Based on expert surveys and a detailed analysis of scientific research, AI-driven workflows have the potential to reduce the time needed to advance a new molecule targeting complex or poorly understood conditions to the preclinical candidate (PCC) stage by as much as 40%. According to internal reports, AI-driven insights enabled AstraZeneca to expand its research pipeline and address diseases with significant unmet needs. The collaboration also boosted BenevolentAI’s reputation, attracting additional investment and partnerships.

Conclusion

These case studies highlight the transformative power of open innovation in AI development. By collaborating with startups and leveraging external expertise, corporations like Bosch, Microsoft, and AstraZeneca have accelerated their innovation cycles and delivered significant real-world impact. The lessons from these collaborations are clear: companies that embrace open innovation stand to gain a competitive advantage, reduce costs, and bring groundbreaking solutions to market faster than ever before. For businesses ready to leverage AI, the path forward lies in partnerships that foster innovation and shared success.

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