• The next-generation platform is designed to bridge the gap between social data and business action, surfacing real-time market signals from social to inform product development, customer care, and more.
• Trellis will be integrated across the Sprout ecosystem to uncover insights and improve workflows across Publishing, Listening, the Smart Inbox, and Reporting.
• Trellis Studio introduces customizable AI workflows that can be tailored to users’ unique goals and operational needs.

Sprout Social (Nasdaq: SPT) today announced the unveiling of its AI-powered social intelligence platform, designed to help organizations operationalize real-time, unfiltered market conversations at scale. Central to this launch is the upcoming expansion of Trellis, Sprout’s proprietary agentic AI engine. Purpose-built for social, Trellis will be integrated across the Sprout ecosystem — Publishing, Listening, the Smart Inbox, and Reporting — to help transform fragmented social data into organization-wide action.

Available to all customers in July, Trellis will evolve beyond Listening to become a conversational intelligence layer for the platform. By synthesizing social data across networks and combining it with insights from across Sprout, Trellis is designed to help teams ask complex questions and surface relevant, actionable insights faster.

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This rollout also debuts Trellis Studio, a dedicated environment where organizations will be able to build bespoke AI workflows. Trellis Studio is designed to help teams streamline recurring workflows, so that social intelligence can be tailored to their unique KPIs and operational needs.

“Social is the fastest reflection of what people are thinking and feeling, yet most organizations lack the infrastructure to act on that data in real time,” said Scott Morris, CMO of Sprout Social. “What changes with social intelligence is not just access to more data, but the ability to turn that signal into strategic action across the business. When organizations can do that, social moves from a downstream function to the heart of how a business anticipates change and drives growth. In today’s market, failing to act on these signals can create a direct constraint on performance.”

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The shift toward social-led strategy is fueled by a growing reliance on real-time insights for high-stakes decision-making. Sprout’s latest research reveals that 71% of marketing directors expect social data to surpass traditional market research in shaping enterprise strategy by 2029. However, this evolution demands more than just access to information. It requires a fundamental organizational capability to bridge the gap between insight and execution at a moment’s notice. With this launch, Sprout aims to close this gap, providing automation and agentic workflows built to turn signals into action faster across the business.

“AI is only as powerful as the data that informs it. Unlike general-purpose models, Trellis is uniquely valuable because of its access to real-time, native social data across multiple networks,” said Srinivas Somayajula, Chief Product Officer at Sprout Social. “When customer sentiment shifts or a competitive threat emerges, organizations cannot afford to miss the moment. Foundational models lack visibility into these signals in real time, but Trellis delivers, helping to transform network-native social data into decision-ready intelligence exactly when it matters most.”

Sprout’s AI-powered social intelligence platform focuses on four key pillars of value:

• Predictive Media Intelligence: Leveraging agentic AI to help detect shifts in industry narratives as they emerge, allowing brands to respond proactively.
• Full-Funnel Social Optimization: Helping bridge the gap between social engagement and ROI through AI-powered insights designed to align social performance with broader business goals.
• Scalable Social Support: Moving beyond reactive replies to proactive engagement. AI helps surface the highest-priority interactions, enabling teams to provide personalized service at a global scale.
• Authentic Brand Amplification: Identifying high-affinity advocates and creators through AI-driven recommendations to extend brand reach with authenticity.

These innovations, along with the findings of the 2026 Social Intelligence Report, will be showcased today during Breaking Ground, Sprout’s quarterly showcase of the company’s latest product updates and cutting-edge industry insights.

Companion Agent works alongside frontline teams in real time, helping them prepare, respond, take action, and complete after-call work with more consistency and speed

Observe.AI, the Agentic Platform for customer experience, announced the launch of Companion Agent, the new multi-agent interface for frontline teams built to support customer service agents before, during, and after every customer interaction.

The launch expands Observe.AI’s agentic platform, which brings together AI Agents for Customers, AI Agents for Frontline Teams, and AI Agents for Operations into a single connected system. As customer-facing AI Agents automate more routine interactions, human agents are increasingly responsible for the moments that require judgment, empathy, exception handling, and deeper problem-solving. Those interactions are higher-stakes, but many frontline teams are still supported by outdated tools that provide static scripts, basic knowledge lookup, or limited real-time guidance.

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Companion Agent is designed for this new operating model. It does not just suggest what to say next. It listens to the conversation, understands the context, guides the agent through required steps, surfaces the right information from deep knowledge bases or backend systems, triggers actions, and helps complete work after the interaction. The result is a more consistent experience for customers and a more supported experience for humans.

“Customer service teams are entering a new era where AI and human agents work together across the entire customer journey,” said Swapnil Jain, CEO and Co-Founder of Observe.AI. “With Companion Agent, we are giving frontline teams an AI partner that can listen, reason, guide, and act in real time. This is an important step in our broader agentic platform vision, where AI Agents for Customers, Frontline Teams, and Operations work together to improve every conversation.”

Companion Agent gives front-line teams real-time, context-aware support across the full interaction lifecycle:

• Before the call: Companion Agent prepares frontline teams with relevant customer history, prior interaction context, profile details, and stated intent so they can start each conversation with confidence.
• During the call: Companion Agent provides step-by-step guidance, surfaces knowledge, prompts required compliance actions, detects behavioral cues, supports soft-skill coaching, and triggers workflows in real time.
• After the call: Companion Agent generates editable summaries, extracts key details, classifies dispositions, updates systems of record, triggers actions in other systems, and identifies coaching opportunities.

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Unlike legacy real-time agent assist tools built on rigid NLU models, Companion Agent is easier to configure, maintain, and improve. Teams can build and adjust guidance instantly with plain-English prompts. That means faster time to value, moving from months of configuration to days.

Companion Agent also works in concert with AI Agents for Customers, preserving context when a conversation moves from automation to a human agent. And because it connects with AI Agents for Operations, leaders can evaluate performance, trigger personalized in-the-moment coaching, and continuously improve frontline execution across every interaction.

“Customer Service teams have invested heavily in automation and self-service, but their human agents are still underserved,” said Cory Ondo, Paycor. “With Companion Agent, we’re closing that gap by ensuring every human agent has the agentic intelligence at their fingertips. It’s not just about improving productivity; it also delivers better customer experiences.”

Customers deploying Companion Agent have already seen measurable ROI through reduced average handle time, higher first-call resolution, and improved CSAT. Observe.AI offers a single, agentic platform to automate, assist, and analyze every interaction. Designed to seamlessly integrate with critical business systems and telephony providers, Observe.AI helps leaders drive efficiency, improve consistency, and unlock insights that continuously improve performance. For customers, it means faster resolutions and better experiences across every channel.

**About Observe.AI ** Observe.AI is a CX-native AI Agents platform that enables enterprises to deploy specialized agents that understand context, reason, and take action across the customer experience lifecycle. With built-in orchestration, integrations, and governance, Observe.AI powers intelligent automation that scales performance, accelerates resolution, and continuously improves outcomes.

Strategic integration of Databricks Genie Spaces and Databricks Apps unifies data intelligence for Digital Turbine’s global footprint, spanning over a billion devices globally

Digital Turbine, the global leader in growth solutions for the mobile ecosystem, announced its strategic partnership with Databricks, the data and AI company, to bring AI-powered intelligence to the rich data from DT’s global footprint spanning 80K+ apps and over a billion devices. Through the integration of Databricks Genie Spaces and Databricks Apps into its technology stack, Digital Turbine is accelerating its data and AI strategy to enable smarter and privacy-conscious mobile experiences at global scale.

Digital Turbine delivers an industry-leading robust, signal-rich data infrastructure through its Ignite Graph, which maps real-time device interactions to drive predictive modeling and actionable insights, and DT iQ, which aggregates data for smarter targeting. To accelerate these outcomes, DT will leverage Genie, Databricks’ AI agent that lets any employee chat with their data and get trusted answers. By using Genie Spaces to encode business-specific logic and rules, Digital Turbine streamlines collaboration across its device and app-level data, ensuring natural language questions resolve into correct queries for faster, actionable results.

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Digital Turbine’s massive first-party data and global on-device distribution give the company a unique opportunity to scale, and its partnership with Databricks is the critical accelerant enabling DT to turn billions of real-time behavioral signals into automated decisions that are already delivering meaningful results for advertisers and brands. This fuels the DT iQ and Ignite Graph flywheel, connecting signals across 80K+ apps and over a billion devices to drive real-time intelligence, activation, and outcomes across the AI-first marketplace. Databricks Apps serves as the connective tissue, helping DT build, deploy, and scale secure data and AI applications where its data already lives. As a serverless application platform, Databricks Apps enables teams to quickly turn trusted data into production-ready AI applications directly on Databricks.

“Integrating Databricks solutions into our technology stack enables the unification of our data architecture and accelerates our ability to deploy next-generation AI,” said Ben John, CTO of Digital Turbine. “By fostering closer collaboration between data and engineering teams, we have transformed our complex data into real-world AI impact – accelerating innovation and delivering precise mobile intelligence that is driving results for our partners.”

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“Digital Turbine is a great example of what enterprise AI can deliver when it is built on trusted, governed data at scale,” said Tony LaVasseur, RVP Media & Advertising at Databricks. “Genie makes it easy for DT’s teams to ask questions and get trusted answers from their data instantly, while Databricks Apps turns those insights into production-ready AI applications – all without moving data out of a governed environment. The result is faster, smarter decisions that create real, measurable outcomes for DT’s customers.”

This implementation establishes a scalable foundation for the next generation of generative and agent-based mobile capabilities. By combining its on-device footprint with the Databricks platform, Digital Turbine continues to lead in an open and intelligent mobile ecosystem.

Marketers can now build and activate custom Snapchat creative catalogs directly from Flight Control to Snapchat’s Ads Manager. 

Clinch, the agentic AI platform for omnichannel content orchestration, announced an AI-enabled automated workflow, supporting Snapchat Dynamic Product Ads (DPA), connecting product feed management, creative customization, and catalog enrichment, in a single workflow.

This release targets specific operational complexity for social commerce: most advertisers running DPA campaigns are managing their product feeds, creative production, and activation through separate systems, creating redundant work every time a catalog updates or a campaign launches. For brands running dynamic ads across multiple social platforms, that fragmentation multiplies.

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Flight Control has addressed this by creating an AI-powered infrastructure that truly connects creative to social media. Advertisers can upload their product feed once to Flight Control, schedule their desired refresh cadence, then apply custom templates, adjust layouts, add pricing and promotional overlays, and publish enriched catalog to Snapchat without rebuilding assets or switching tools.

“Even the most sophisticated advertisers struggle with creative relevance, offer accuracy, and the complexity of feed management,” said Charel MacIntosh, Global Head of Business Development and Strategic Partnerships  at Clinch. “Our solution removes operational barriers, enabling brands to have well-designed, on-brand creative assets in front of the right person at the right time, at scale.”

The announcement enforces Clinch’s offering of AI-enabled omnichannel creative orchestration, bringing automation, scale, and efficiency, across an ever-expanding ad ecosystem.

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“Snapchat is a powerful platform for discovery and commerce, and our partnership with Clinch makes it easier than ever for brands to reach our community with highly relevant, performance-driven creative within our expanded Dynamic Product Ads (DPA) format,” said Fintan Gillespie, Global Director of Snap Inc.’s Ad Partnerships Group. “DPA blends storytelling with personalized product recommendations, and by automating the bridge between a brand’s product catalog and Snapchat’s DPA product, including our recently launched Multi-Segment format, we’re helping advertisers of all sizes seamlessly scale their campaigns and shorten the path from discovery to purchase.”

Flight Control’s Snapchat DPA capability is available now, and represents one of the many ways Clinch provides custom solutions for its  advertisers across retail, ecommerce, travel, and other catalog-heavy categories.

Quisitive, a global technology consulting company, announced it has earned the status of Microsoft Frontier Partner, a distinction reserved for an exclusive list of partners with deep expertise in leading AI transformation across the Microsoft Cloud. This milestone follows Quisitive’s achievement of the Microsoft Copilot Specialization, its 19th specialization, which validates Quisitive’s ability to implement and scale Microsoft 365 Copilot, customize solutions with Copilot Studio, and develop AI agents.

Quisitive Achieves Microsoft Frontier Partner Status for Secure AI Transformation, Following Copilot Specialization

The Microsoft Frontier Partner designation recognizes organizations that lead AI transformation through an AI-first, human-led approach, combining AI agents and human ingenuity to scale innovation and impact. To qualify, partners must hold three Microsoft Solutions Partner designations and specializations spanning Copilot, Data Security, and AI application development. Quisitive goes far beyond these requirements, holding all six designations and 19 specializations, reinforcing the depth of its Microsoft partnership and the strength of its AI leadership.

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This announcement coincides with the general availability of Microsoft 365 E7, Microsoft’s new Frontier Suite, which brings together productivity, AI, security, and identity in a single platform. As a Frontier Partner, Quisitive is uniquely positioned to help customers evaluate, adopt, and operationalize E7 across their organizations, from deploying Copilot and AI agents, to implementing the governance and security controls that make AI work at enterprise scale.

“Quisitive helps customers move from AI experimentation to scalable, measurable results. Starting with technology strategy, Quisitive architects systems with security and governance built in from the start, transforms data silos into AI-ready knowledge, and activates intelligence through agentic AI applications. These milestones validate the depth behind that approach,” said Jason Hudnall, Chief Revenue Officer at Quisitive. “We are very proud to be one of Microsoft’s few Frontier partners.”

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Quisitive is a global technology consulting firm helping organizations design and activate the technology systems that power measurable business outcomes in an AI-first world. With deep expertise across the Microsoft ecosystem, Quisitive connects strategy, data, security, and modern applications to help our customers compete, scale, and adapt as the pace of innovation accelerates.

New FastField product features reduce manual data entry and help organizations bridge the gap between field data capture and real-time decision-making

Quickbase, the AI operations platform, today announced two new AI capabilities for field service operations teams: AI Photo Insights and Asset & Team Tracker. Available through FastField, the new AI features are designed to help field service organizations improve operational visibility, reduce manual work, and respond faster to issues happening across multiple job sites, equipment, and field teams.

“As field operations become more complex and distributed, many organizations are still relying on disconnected systems, paper forms, and manual processes to manage schedules, repair tasks, and inspections,” said Marcus Torres, Chief Product Officer of Quickbase. “While field operations teams are now moving toward digitizing their data collection, many have yet to digitize their decision making. Our latest FastField AI features make it easier to capture information in the moment and immediately put it into action in Quickbase for faster response times, better visibility across operations, and safer, more efficient field teams overall.”

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New FastField AI Features: AI Photo Insights and Asset & Team Tracker
Now available as part of the FastField Pro Plan package, the new AI Photo Insights and Asset & Team Tracker features help organizations turn field photos, job updates, and operational data into actionable insights and real-time operational visibility.

• FastField AI Photo Insights enables field technicians to capture photos in the field and instantly generate inspection notes while automatically analyzing images for equipment issues, missing PPE, structural faults, and potential safety violations.
• FastField Asset & Team Tracker provides a live, map-based operational view of field teams, equipment, and jobs directly from the FastField portal. Organizations can monitor equipment locations, job progress, and technician availability in real time while improving dispatching decisions based on proximity, workload, and asset status to help reduce downtime and improve response times.

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A Year of AI Features
Over the past year, Quickbase has expanded FastField’s AI capabilities to help field service organizations streamline inspections, improve operational visibility, reduce manual work, and accelerate response times. Additional FastField AI features introduced over the past year include:

• Eliminate time-consuming, manual barcode and serial number entry  
  FastField AI Label Scanner automatically captures serial numbers, asset tags, barcodes, handwriting, and equipment data from photos, helping technicians complete inspections faster while improving data accuracy.
• Automatically keep inspections, maintenance, and field work on schedule 
  FastField Task Scheduler automates recurring inspections, preventive maintenance, and compliance workflows with scheduled assignments and reminders, while giving supervisors visibility into upcoming and overdue work.
• Add an intelligent safety net, to flag issues earlier  
  FastField AI Workflow automatically reviews form submissions, flags anomalies, prioritizes urgent issues, triggers alerts, and routes follow-up actions to the appropriate teams.
• Convert paper forms into digital workflows in seconds  
  FastField AI Form Converter transforms paper forms, PDFs, and handwritten sketches into editable digital FastField forms within seconds, helping organizations digitize field processes without rebuilding forms manually.

“In less than 12 months, we eliminated all paperwork from our field vehicles. Printing costs were reduced by over $70,000 AUD per annum. Document control and currency of documents in the field are always maintained, and that was something we had quite a problem with [before]…Ever since FastField has been introduced, we’ve not had one issue of a crew having non-current documentation in the field,” said Daryl Marshall, National Safety & Compliance Manager at Asplundh Tree Expert LLC.

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Annual flagship Partnerships Experience (iPX) event returns June 9–11, 2026, featuring expanded AI programming, product innovation roadmap, and immersive attendee experiences

impact.com, the global infrastructure for partnership-driven commerce, today announced the return of its flagship global event, Partnerships Experience (iPX), taking place June 9-11, 2026, in Austin, Texas. iPX 2026 will bring together more than 1,000 leaders across brands, creators, publishers, agencies, and technology partners to explore how AI, data, and partnerships are reshaping the future of marketing and commerce.

Across three days of keynotes, workshops, and immersive experiences, attendees will gain actionable insights into the evolving partnership economy, including impact.com’s 2026 product vision, the accelerating role of AI in performance marketing, and new ways brands are building authentic, scalable growth through partnerships.

“iPX has always been where the partnership economy comes to life, and this year we’re taking that vision even further,” said Cristy Garcia, CMO of impact.com. “From the rise of AI-powered marketing to the next wave of product innovation at impact.com, we’re giving brands and creators the clarity, tools, and connections they need to build what comes next.”

This year’s agenda emphasizes artificial intelligence as a core driver of partnership innovation. A featured fireside chat with impact.com CEO David A. Yovanno and AI leader Allie K. Miller will explore the real-world effect of AI on businesses, creators, and daily workflow. They’ll discuss what it actually means to be an “AI-first” company; how AI agents are rewriting the rules of marketing and product discovery; and the essential skills that will matter in the next phase of business growth. In addition, EMARKETER will lead a data-driven session examining how AI is reshaping consumer behavior, and what those shifts mean for marketers navigating the next wave of digital engagement.

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impact.com executives and product leaders will also spotlight how AI is embedded across the platform, and how brands can use it to automate discovery, optimize partner performance, and drive stronger business outcomes across the partnership lifecycle.

Yovanno will also deliver a keynote focused on how AI, Retail Media, and the new wave of creators are rewriting the rules of brand discovery. Chief Product Officer Max Ciccotosto will take the stage to unveil the company’s 2026 Product Roadmap, offering attendees a first look at upcoming innovations across AI, Retail Media, creator marketing, and more, designed to simplify, automate, and optimize every stage of the partnership lifecycle. From discovery and recruitment to contracting, tracking, and payment, the roadmap will showcase how impact.com is building the infrastructure for the next era of performance-driven partnerships.

To close out the event, attendees will experience iPX Fest, a high-energy celebration featuring live music from DJ Eric Rhodes. The festival-style evening will bring the partnership community together for networking, entertainment, and celebration.

Throughout the event, attendees will also engage with leaders across the partnership ecosystem through breakout sessions on creator, traditional affiliate, and commerce content partnerships; deep dives into AI-driven growth strategies; hands-on workshops with impact.com product experts; and networking experiences designed to accelerate collaboration and growth.

The Austin edition of iPX 2026 is the first of four global iPX events impact.com is hosting this year. iPX London is set for June 30, iPX China on Sept. 3, and iPX Sydney on Sept. 10.

Registration for iPX 2026 in Austin is now open at impact.com/partnerships-experience/ and will close once it reaches maximum capacity.

impact.com is the world’s leading global infrastructure for partnership-driven commerce, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products— Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. today, over 5,000 global brands—including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics—rely on impact.com to power more than 2 million partnerships, collectively generating over $110 billion in annual gross merchandise value (GMV).

Appointment deepens PubMatic’s commitment to the Canadian market as demand grows for AI-powered programmatic solutions across buy-side and publisher partnerships

Early customers are already seeing a 1.5x increase in AI Search citations and a nearly 50% lift in share of voice with Quill