Mandy Long
Analyst · Northland Capital. Your line is open
Thank you, Norm and thank you all for joining today's call. I'm excited to spend time with you today as the momentum at BigBear.ai continues. We've driven change across our company and are increasingly poised to capture growth opportunities across the markets we service. We're delivering on our stated goals in this foundational year, improving operational rigor and building momentum in key sectors, and our culture of execution at BigBear.ai as unlocking significant opportunities in win. We've also refreshed our branding, supporting our reintroduction to the market and more closely aligning with the end markets we serve and the solutions we provide. A key win for us this quarter was being selected as the sole provider by the US Army to implement Phase 2 of the Army, Test & Evaluation Command, integrated mission management system, and a single award contract worth over $7.7 million over seven months. BigBear.ai will provide a modern, no-code, low-code solution designed to replace ATEX legacy system with a cloud-based, API-centric platform combining project, and portfolio management, enterprise content management, workflow management, application integration, and business intelligence data analytics capabilities. The solution offers the US Army unique and democratize access to data, collaboration tools, and advanced analytics. What's important to recognize in this extension is that in moving from Phase 1 to Phase 2, the Army selected us as the sole provider after previously sharing this contract. This positions BigBear.ai well, as future work is awarded. As we continue to execute, we will see more of these types of contract progression. This award builds upon BigBear.ai's portfolio of work supporting US Army readiness, including its continued delivery of the Global Force Information Management, Objective Environment intelligent automation platform. In addition to AIMMS, we received a 6-month extension from the US Army as the prime contractor for continuing work on the Global Force Information Management system in a six-month contract valued at just over $8.5 million. The extension builds on BigBear.ai's previous work in Phase 1 and Phase 2, and continues to show the strength of our relationship with US Army. This is another example of how we are well-positioned to win future work. Under the terms of the single source contract, BigBear.ai will serve as a prime contractor to build an enterprise-wide, intelligent automation platform, providing US Army with a holistic view of its global force structure. During the extension, the BigBear.ai team will be charged with migrating the prototype into US Army cARMY cloud, aligned with the US Army's Cloud Plan 2022. Our ProModel solution continues to enhance our clients' operational efficiency in a variety of use cases. Most recently, we won and expanded work with one of the largest shipbuilders in the world, where we are currently supporting US-based enable operations, displaying the global opportunity for leveraging our capabilities in complex manufacturing environment. We also won a contract with a large industrial automation company, where we are assisting in their existing flat products fabrication process to identify constraints and understand the best opportunities for eliminating or reducing them. In doing so, our models will allow key stakeholders to quantify the expected improvements and cost benefits of any considered process changes, in advance of implementing those changes. We are winning and beating competitors, both large and small, as the world unlocks the power of discrete event simulation and digital trends. Now, I'm going to switch gears and talk about responsible and ethical AI. Earlier this year, we submitted comments to the National Telecommunications and Information Administration and Department of Commerce, concerning accountability measures and policies for artificial intelligence systems. Specifically, we sought to provide a perspective on industry experiences related to complex technology regulations and recommendations based on that experience in response to the Biden administration's concerns around accountability measures and policies for artificial intelligence systems. The rapid acceleration of AI innovation and integration into everyday civil society, underscores the importance of ongoing federal efforts to advance trustworthy AI application, research, and US leadership in the development and use of trustworthy AI in the public and private sectors. Furthermore, US leadership in emerging AI systems and applications, supports a national security strategy that defends core democratic values and protect civil liberties and human rights. NTIA's focus on developing sound AI assurance and accountability frameworks and standards is a critical component for realizing the benefits of AI and mitigating risk, while incentivizing organizations to invest in AI system governance and responsible AI products. We focus our thoughts on the scope of AI accountability mechanisms that should be broad enough to encompass certification, audits and assessment, but also adaptable to evolving technologies and practices. It should involve collaboration between government, regulatory bodies, industry stakeholders, academia and civil society to develop comprehensive frameworks that address the challenges and risks associated with AI design, development, and deployment. Additionally, mechanism should consider international cooperation and harmonization to facilitate consistent standards and practices across borders, while accommodating cultural, legal, and societal differences. AI accountability measures should cover a range of topics to ensure responsible and ethical AI practices. As NTIA continues its work on drafting and issuing a report on AI accountability policy development, BigBear.ai strongly encourages the development of policies and regulations that support and encourage responsible innovation. Put it simply, we believe in the power that responsible technology can play in regulating technology, and believe that today, more than ever, it is not only possible but necessary for AI accountability to be successful. Lastly, I want to share our excitement on the announcement of our new Chief Technology and Strategy Officer, Ted Tanner. Mr. Tanner has more than 30 years of experience, most recently serving as CTO and Chief Architect at IBM Watson Health, now Merative. Ted also has held architect positions at both Apple and Microsoft, and has cofounded several acquired startups, including most recently PokitDok, acquired by Change Health. He also created one of the first machine learning and natural language processing as a service companies on Amazon AWS called Belief Networks. His extensive experience will be instrumental in delivering technology-led solutions, for leaders in government and defense, manufacturing and warehouse operations, and healthcare and life sciences. As I think about the team that we've assembled over the last year, we truly experienced the best of both worlds. We've elevated top talent that was already in place at BigBear.ai, and we've added top talent from outside of the company. We are never done evolving, but I feel great about how we're positioned to lead in the AI industry with this team. With that, I will turn the call to Julie for a detailed review of our financials.