Uniphore

Uniphore is proud to announce its inclusion on the Inc. Magazine 2025 Best in Business list in Best AI Implementation. https://lnkd.in/eDgyA_An   The recognition honors companies that have achieved significant milestones and core business wins, like customer expansion, key product launches, increased market share, and industry-defining accomplishments.   “We are honored to be recognized by Inc. for Best AI Implementation. This award reflects the exceptional execution of our teams and the impact we deliver to more than 2,000 clients every day. As businesses navigate an AI-driven era, Uniphore remains committed to providing an unmatched, end-to-end Business AI platform that drives value, scales, and delivers meaningful outcomes for the world’s largest companies.” Umesh Sachdev, CEO and Co-Founder, Uniphore.    Over 2,000 global businesses trust Uniphore to drive Business Outcomes, including many of the Fortune 500. Uniphore’s growth is fueled by broad adoption of real-world and proven use cases with the Business AI Cloud: KPMG is working with Uniphore to help improve efficiency in different functions like procurement, workforce, and finance. By building AI agents on Uniphore’s Business AI Cloud, KPMG can deliver increased value to clients across banking, insurance, energy, and other regulated industries. “Uniphore is quickly becoming an important player in AI – and we are thrilled to be working with them to democratize business knowledge into AI transformation to drive real outcomes for our clients...” Prasad Jayaraman, Advisory Principal at KPMG. Konecta uses Uniphore’s Business AI Cloud to codify operational expertise into a reusable library of prebuilt and custom agents for multilingual service, QA automation, agent coaching, and workflow orchestration. The result is faster resolutions, higher consistency, and centralized governance. “Uniphore’s Business AI Cloud helps us turn Konecta’s operational know-how into AI that scales. On their platform, we are launching a library of prebuilt and custom agents for multilingual service, QA automation, agent coaching, and workflow orchestration. Clients get quicker resolutions, higher consistency, and the control their CIOs require.” Oscar Vergé, Chief AI Deployment Officer Uniphore clients across industries like Allstate, The Washington Post, Priceline, Atlassian, Bloomberg Media, Dell, and Skechers use Uniphore to drive growth, improve efficiency and design personalized customer experiences — with results like a 71% increase in conversions with Uniphore audiences for Atlassian, a 70% increase in operational efficiency for Dell, a 131% increase in newly acquired customers for The Washington Post and more. Read more about the announcement here: https://lnkd.in/eDgyA_An #BestinBusiness

Two events in London, many great conversations, and one clear message. Enterprise leaders want to move AI from pilot to production in weeks — not months — to deliver measurable outcomes. At our recent London AI Leader's Dinner, we showed how Uniphore’s Business AI Cloud delivers exactly that, combining a consumer-like interface with the security, control, and scalability enterprises demand. Built on a composable, sovereign, and secure architecture, the Business AI Cloud connects proprietary data, fine-tunes models, and powers intelligent agents — all in one platform optimized for both business users and IT. For customer service leaders seeking complete transformation and fast time-to-value through pre-built AI Agents, our team highlighted Uniphore Customer Service AI at the London CX Exchange. Powered by our unified AI platform, Uniphore Customer Service AI brings together enterprise-grade capabilities across data, knowledge, models, and agentic workflows — enabling teams to deploy AI applications that deliver better outcomes, faster. From ramp up to resolution, leading brands are achieving 50% faster agent onboarding, and 20% improvement in first contact resolution. Velera achieved an 85% reduction in training time, 30% reduction in hold times and 11% reduction in average handle times. Across both London events, one message was clear: with Uniphore’s unified Business AI Cloud and AI Agents, organizations can move from experimentation to secure, governed, production-grade AI in weeks — and start delivering real outcomes even faster.

On the Uniphore Business AI Cloud — spanning data, knowledge, models and agents — Small Language Models (SLMs) with retrieval-augmented fine-tuning (RAFT) are becoming the optimal choice. https://bit.ly/4osFlmj Built on a sovereign, composable, secure architecture, the platform allows enterprises to replace generalized LLM stacks with specialized SLMs that are tuned on their own domain knowledge and deployed into mission-critical workflows at scale. Organizations moving to SLM + RAFT architectures are seeing: • 90–98% accuracy on domain-specific tasks, compared with 70–85% for generic LLMs • 10x faster response times (50–200 ms vs 2–5 seconds) for production workloads • Up to 92% reduction in infrastructure costs and as much as 95% lower energy usage • 100x lower cost per query and latency in the 50–200 ms range when using RAFT-enhanced SLMs instead of LLM + RAG pipelines • In a Fortune 500 telecom case study: response latency reduced from 2,300 ms to 180 ms, monthly infrastructure cost reduced from $180K to $15K, and accuracy increased from 82% to 96%, while hallucinations dropped from 12% to 1.2% For AI, “bigger” is no longer the strategic choice. Architected correctly, smaller specialized models deliver better business performance. Download the whitepaper here- https://bit.ly/4osFlmj

Uniphore was excited to join the GDS CIO Summit in Houston this month. As innovation accelerates, CIOs are focused on integrating AI in ways that create real, connected value across the business. Those conversations shaped our biggest takeaways. Here are the themes that emerged: SLMs and Specialized Agents Are Gaining Momentum Leaders are increasingly turning to small language models and domain-specific AI agents that can operate securely on internal data, offering tighter control, stronger accuracy, and enterprise-grade performance. With the Uniphore Business AI Cloud, teams can build proprietary small language models — fine-tuning or creating domain-specific models that deliver higher accuracy, faster performance, and lower cost than general-purpose LLMs. Productivity and ROI Remain Top Priorities Organizations want AI that automates complex processes, improves productivity, and delivers measurable, near-term ROI — not just experimentation or isolated pilots. With the Uniphore Business AI Cloud, companies can unify data, knowledge, models, and agents in a sovereign, secure, composable stack, empowering business users to deploy AI while giving IT governance and control. Data Fragmentation Is Slowing Progress AI adoption continues to be limited by siloed data, governance challenges, and lack of integrated orchestration across systems. Uniphore's composable data fabric connects data across any platform, app, or cloud and transform it into contextual knowledge for Al-driven decisioning and automation. Learn more about how the Uniphore Business AI Cloud helps leading brands deliver measurable outcomes here: https://bit.ly/3KddBnW

Uniphore was honored to join Financial Services leaders for connection and discussion at the dentsu Financial Services Executive Exchange. It was a valuable opportunity to hear directly from executives about where AI is gaining traction — and what’s holding it back. https://bit.ly/481N462 Here are the themes that emerged: • AI Adoption Is Accelerating. Leaders agreed the curve is steepening, with proprietary data emerging as the biggest barrier—and the biggest unlock—for meaningful AI impact. The Uniphore Business AI Cloud composable data fabric connects data across any platform, app, or cloud and transform it into contextual knowledge for Al-driven decisioning and automation. • Business Outcomes Must Be Clear and Measurable. Executives emphasized that AI investments must translate into tangible financial and operational gains—not experimentation for its own sake. That means secure, compliant, interoperable systems that directly move core metrics: higher conversion rates, faster resolution cycles, improved customer satisfaction, and meaningful cost efficiencies across high-volume workflows. To demonstrate how these Business Outcomes materialize with dentsu and the Uniphore Business AI Cloud, two examples were shared to demonstrate how AI is driving real outcomes for financial services. These examples show how businesses can fine-tune or create domain-specific models that deliver higher accuracy, faster performance, and lower cost to deliver better outcomes: • Uniphore and dentsu are partnering to use Small Language Models (SLMs) for Direct Mail orchestration, cutting campaign planning time from six weeks to just a few days. By continuously fine-tuning these models, teams can execute campaigns faster while enhancing segmentation, ensuring compliance, optimizing performance, and improving overall campaign effectiveness. • Customer Experience Improvement – AI Agents automate common low-value inquiries, know when to escalate to a human based on emotion and intent, and automatically classify customers based on behavior and history. The results are significant including 45% reduction in average handle time, 60% containment rate via virtual assistants, and 25% reduction in contact center staffing needs through automation. Uniphore is excited to continue to partner with dentsu and help Financial Services organizations turn AI ambition into real-world results. Learn more about how Uniphore works with leading brands to deliver measurable outcomes, visit here: https://bit.ly/481N462

Uniphore is honored to be named in the 2025 Deloitte Technology Fast 500™, celebrating the fastest-growing and most innovative technology companies in North America. https://lnkd.in/enAX9tPs This recognition comes during a defining year for Uniphore — one marked by accelerated Business AI adoption and validation from the world’s AI and data leaders in Uniphore's $260M Series F round, with NVIDIA, AMD, Snowflake, and Databricks and more. Today, over 2,000 global businesses trust Uniphore to drive Business Outcomes, including many of the Fortune 500. Recent milestones for Uniphore include the launch of the Business AI Cloud in Spring 2025, and the acquisitions of ActionIQ, Infoworks, Orby AI and Autonom8. These acquisitions position Uniphore at the forefront of AI talent and support new outcomes for its clients — helping business users and CIOs adopt AI faster and more easily automate tasks with AI that is trained on enterprise data. Together, they strengthen Uniphore’s end-to-end approach to Business AI, which enables customers to keep their existing models and data infrastructure, work with current tech systems, and meet security and compliance requirements. Being named to the 2025 Deloitte Technology Fast 500 reflects Uniphore’s accelerating growth and the increasing enterprise demand for Business AI that is sovereign, composable, secure and ready to deliver Business Outcomes. Read more here: https://lnkd.in/enAX9tPs

At Konecta's Leaders Convention 2025, Uniphore joined more than 150 executives to discuss what it takes to adopt Business AI at scale. A key theme emerged – The issue in AI deployments is not always the technology itself, but the heavy reliance on teams that must manually understand, map, and translate business processes before they can use agents to automate them. Gokul Gopalakrishnan, SVP, Global Partnerships at Uniphore, outlined how the Business AI Cloud helps address this challenge. By connecting data, knowledge, models and agents in a sovereign, composable and secure architecture, organizations can identify and prioritize high-value workflows, accelerate agent deployment and reduce the time and effort required to operationalize AI at scale. The session also highlighted market use cases where Business AI adoption is growing fastest across banking, insurance, telecom, and energy, where leaders are looking for reliable ways to improve decision-making, automate complex processes, and support frontline teams. Learn more about how Business AI Cloud supports leaders in launching agents on any model, any data, and any architecture in one intuitive platform: https://bit.ly/3XuFQRU