Financial Data and Key Metrics Changes - The company reported a third quarter ARR of $1.782 billion, an increase of 11% year-over-year, driven by $59 million in net new ARR [6][24] - Revenue for the quarter was $411 million, reflecting a 16% increase year-over-year [6][23] - The company achieved its first GAAP profitable third quarter with GAAP operating income of $13 million, compared to a GAAP operating loss of $43 million in the prior year [7][26] - Non-GAAP operating income reached $88 million, representing a 21% margin, up more than 700 basis points year-over-year [7][27] - Dollar-based net retention rate was 107%, indicating strong customer engagement and retention [25][72] Business Line Data and Key Metrics Changes - The company highlighted significant customer engagement with over 950 companies developing agents and more than 365,000 processes orchestrated with Maestro [8][24] - The introduction of agentic capabilities in various products, such as intelligent extraction and processing, has enhanced customer automation efforts [10][11] - The company reported strong performance in the federal sector, with no major impact from the government shutdown, indicating resilience in critical operations [35][46] Market Data and Key Metrics Changes - The company ended the quarter with approximately 10,860 customers, with an increase in customers generating $100,000 or more in ARR to 2,506 [24] - Remaining performance obligations increased to $1.265 billion, up 12% year-over-year, indicating a healthy future revenue stream [25] - The company is expanding its cloud footprint in key markets, including Switzerland and the UAE, to meet regional data residency and governance requirements [15][16] Company Strategy and Development Direction - The company is focused on enhancing its automation strategy by integrating deterministic automation with agentic AI to deliver trusted enterprise-grade automation [5][6] - The company is actively pursuing vertical solutions in industries such as healthcare and financial services, aiming to accelerate outcomes and ROI for customers [16][84] - Collaborations with technology leaders like Microsoft, OpenAI, and NVIDIA are aimed at enhancing the capabilities of the platform and driving customer value [17][52] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's execution and innovation pace, positioning it well for future growth [20][21] - The company anticipates continued improvement in net new ARR growth, supported by enhanced execution and customer engagement [38][66] - Management acknowledged that while early traction with agentic capabilities is promising, significant contributions to top-line growth are not expected in fiscal 2026 [28][28] Other Important Information - The company was recognized as a leader in the Gartner Magic Quadrant for intelligent document processing and AI augmenting software testing tools, highlighting its competitive positioning [11][12][13] - The company is committed to maintaining operational efficiency while investing in key areas such as engineering and sales capacity to support growth [59][60] Q&A Session Summary Question: Can you provide insights on the traction of agentic solutions? - Management noted strong momentum across agentic offerings, with consistent buying patterns emerging from proof of concepts to production [32][34] Question: Was there any impact from the government shutdown on federal business? - Management confirmed no direct impact from the shutdown, as many projects are funded through bills and are considered critical operations [35][46] Question: What are the drivers for the expected growth in net new ARR? - Management attributed the growth to improved execution, customer activity, and a stable macroeconomic environment [38][66] Question: Can you elaborate on the OpenAI collaboration? - Management highlighted the use of GPT-5 across the platform, particularly in the Screenplay product, which combines UI automation with LLM capabilities [47][48] Question: How is the partnership with Deloitte impacting the pipeline? - Management indicated that the quality of the pipeline has improved significantly due to deeper engagement with partners like Deloitte [56] Question: What are the expectations for the federal sector moving forward? - Management expressed optimism about the federal sector's performance, noting a return to a new normal with solid deals [46][68] Question: How is the company addressing spend predictability for agentic consumption? - Management is evaluating customer adoption patterns and aims to develop flexible pricing models that reflect AI consumption [90][91]

Financial Data and Key Metrics Changes - The company reported third quarter ARR of $1.782 billion, an increase of 11%, driven by $59 million in net new ARR [4][22] - Revenue for the quarter was $411 million, reflecting a 16% year-over-year increase [5][21] - The company achieved its first GAAP profitable third quarter with GAAP operating income of $13 million, compared to a GAAP operating loss of $43 million in the prior year [24] - Non-GAAP operating income reached $88 million, representing a 21% margin, up more than 700 basis points year-over-year [24] Business Line Data and Key Metrics Changes - The company highlighted strong customer engagement with over 950 companies developing agents and more than 365,000 processes orchestrated with Maestro [6][22] - The introduction of agentic capabilities in the intelligent extraction and processing (IXP) product is expected to enhance automation in document-heavy processes [9][10] Market Data and Key Metrics Changes - The company ended the quarter with approximately 10,860 customers, with significant growth in customers generating $100,000 or more in ARR, increasing to 2,506 [22] - Dollar-based gross retention remained at 98%, while the dollar-based net retention rate was 107%, indicating strong customer loyalty [23] Company Strategy and Development Direction - The company is focused on enhancing its automation strategy by integrating deterministic automation with agentic AI, aiming to provide trusted enterprise-grade automation [4][5] - The company is expanding its cloud footprint in key markets and developing vertical solutions to address industry-specific challenges [14][15] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to drive future growth and operational efficiency, despite a variable macroeconomic environment [24][25] - The company is raising guidance for the fourth fiscal quarter, expecting revenue in the range of $462 million to $467 million [25][26] Other Important Information - The company was recognized as a leader in the Gartner Magic Quadrant for intelligent document processing and AI augmenting software testing tools, highlighting its capabilities in these areas [10][11] - The company is actively collaborating with technology partners like OpenAI and Microsoft to enhance its automation offerings [16][17] Q&A Session Summary Question: Regarding agentic solution traction - Management noted that over 950 clients are developing agents, indicating strong momentum across the agentic offering [27][28] Question: Impact of the federal shutdown - Management confirmed no direct impact from the federal shutdown, as many projects are funded through bills and considered critical operations [29] Question: Drivers of net new ARR growth - Management attributed the expected growth to improved execution, customer activity, and a stable macroeconomic environment [30][44] Question: OpenAI collaboration details - Management highlighted the use of GPT-5 across the platform, particularly in the Screenplay product, which combines UI automation with LLM adaptability [34] Question: Incremental pipeline from partnerships - Management emphasized the quality of partnerships, particularly with Deloitte, which has led to deeper engagement in larger-scale transformation processes [38] Question: Agentic consumption pricing predictability - Management acknowledged the industry's dynamic nature and is working on flexible pricing models to help customers forecast usage patterns more reliably [56]