Everforth, Inc.

Greetings and welcome to the Everforth Third Quarter 2026 earnings call. At this time, all participants are on a listen-only mode. A question and answer session will follow the formal presentation. If anyone should require operator assistance, please press star zero on your telephone keypad. It is now my pleasure to introduce your host, Kimberly Esterkin, Vice President of Investor Relations. Thank you. You may begin.

Good afternoon. Thank you for joining us today for Everforth's Third Quarter 2026 conference call. With me are Ted Hanson, Chief Executive Officer, Shiv Iyer, President, and Marie Perry, Chief Financial Officer. Before we get started, I would like to remind everyone that our commentary contains forward-looking statements. Although we believe these statements are reasonable, they are subject to risks and uncertainties, and as such, our actual results could differ materially from those statements. Certain of these risks and uncertainties are described in today's press release and in our SEC filings. We do not assume any obligation to update statements made on this call. For your convenience, our prepared remarks and supplemental materials can be found in the investor relations section of our website at investors.everforth.com. Please also note that on this call, we will be referencing certain non-GAAP measures, such as adjusted EBITDA, adjusted net income, and free cash flow. These non-GAAP measures are intended to supplement the comparable GAAP measures. Reconciliations between GAAP and non-GAAP measures are included in today's press release. I will now turn the call over to Ted Hanson, Chief Executive Officer.

Thank you, Kim, and thank you for joining EverForce's third quarter 2026 earnings call. Our third quarter results demonstrated continued momentum. Revenues of $1.03 billion and adjusted EBITDA of $106.3 million surpassed the high end of our guidance. while adjusted EBITDA margin of 10.3% was at the top end of our guidance range. Commercial segment revenue growth reflected sustained customer investment in AI, IT modernization, and cloud transformation services. Strength in our data and AI, security and risk, and enterprise platform solutions helped drive a commercial consulting book-to-bill of 1.1 times on a trailing 12-month basis. In our federal government segment, new contract awards totaled $584.4 million, representing a book-to-bill of 1.9 times for the quarter and .9 times on a trailing 12-month basis. Strength in federal bookings for the quarter reflected planned awards and extensions, indicating continued demand for our services. Federal contract backlog was approximately $2.9 billion at quarter end. or a coverage ratio of 2.5 times trailing 12-month revenues with particular strength across AI and data, cybersecurity, cloud, and mission modernization. Shiv will discuss our performance and recent customer wins in more detail shortly. With that context, I want to focus on two themes shaping enterprise technology investment and strengthening Everforce's position in the market. First, AI investments remain significant, but its focus is evolving. Enterprises are moving beyond experimentation to scale deployment, but much of the investment to date has centered on the infrastructure, platforms, and software required to support that growth. We have consistently believed that enterprise software platforms would become a primary channel for deploying AI across the enterprise. That is increasingly what we are seeing. AI is not replacing these platforms. It's expanding their role as AI becomes embedded into ERP, CRM, and workflow environments. This is important for Everforth. Our partnerships with Workday, Salesforce, ServiceNow, and other technology leaders provides us with platform expertise required to move these AI-enabled technologies into production. Our implementation track record has earned us the opportunity to serve as four deployed partners with early access to new capabilities that we can bring into customer environments. We're an official member of the Salesforce for Deployed Engineer Partner Network and among the first Workday partners to be certified to implement Paradox and HireScore Workday's unified AI-powered talent acquisition platform. As these platforms evolve, we are positioned to help customers turn these new AI-enabled capabilities into practical business outcomes. Second, scaling AI requires more than technology itself. Infrastructure and software are only part of the investment. Successful deployment also requires data integration, security, governance, change management, and the right operating processes. In other words, AI is not only a technology investment It's part of a broader business transformation. That is where IT services become increasingly important. Moving from pilots to scale deployment introduces challenges around cost, governance, and security that require both technology and execution expertise. According to ISG, more than 60% of enterprise customers surveyed measured AI success by cost savings generated. while nearly 80% identified centralized governance and cybersecurity as the best way to manage costs. We are seeing the same priorities amongst our customers. Our security and risk bookings are up over 40% year-to-date compared to the first nine months of 2025, while our security and risk pipeline has increased in the mid-teens since the end of the third quarter. The Genic AI illustrates why these capabilities matter. As agents access data and execute tasks autonomously, they must be governed and monitored. Technology providers, including Microsoft and AWS, are developing capabilities to address these emerging cybersecurity needs, but the market is still developing. Everforth helps clients assess, select, and implement the best suited technologies for their environments, which is particularly important in AI governance where no single technology addresses every security requirement. We are also investing in governance as a service for highly regulated industries like healthcare and financial services and bringing together capabilities across Everforth under a unified set of offerings supported by our proprietary assets and accelerators. For example, our teams developed a repeatable platform called our Enclave Factory are rapidly deploying secure, compliant environments across classified and unclassified networks. Our Enterprise Security Operations Center, or SOC, developed an AI-driven security triage capability that helps reduce false alarms and prioritize high-risk concerns. And through our Everforth AI studio, we built an AI-driven regulatory change management and compliance platform that enables financial institutions to continuously monitor evolving regulations and streamline their compliance workflows. Our view remains clear. Enterprise AI is advancing, but many of the hardest implementation challenges are still ahead. As customers move from experimentation to production and scale, they need partners that understand their tech environments, industries, governance, and security requirements. Everforth is well-positioned to bring those capabilities together and help customers successfully navigate the next phase of enterprise AI adoption. With that, I'll turn the call over to Shiv to discuss our industry performance and how we're applying these capabilities across our customer base.