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DevRev launches Voice AI with shared organisational memory across agents. DevRev, maker of the agentic AI product Computer, today announced Voice AI across its Customer Agent for self-service customer support, extending the same organisational memory already powering chat and email into live customer conversations. By embedding Voice AI into Computer and the agents built on it, DevRev is enabling voice agents to understand enterprise context, reason across business systems, and act while customers are still on the line. Enterprise voice AI is maturing to the point where natural conversation is table stakes as advances in large language models make realistic speech increasingly accessible. Organisations now need AI agents that understand how their business operates, connect information across fragmented systems, and resolve customer problems rather than simply routing them to another queue. A Gartner survey published in February 2026 found 91% of customer service and support leaders are under executive pressure to implement AI, with leaders prioritising first-contact resolution and reduced customer effort over back-office efficiency. Yet deployment is outpacing results. Gartner reported in March 2026 that only 20% of organisations have reduced agent headcount due to AI, and Forrester predicts roughly one-third of brands rolling out AI in self-service will fail in 2026, largely because the data foundations underneath the AI are not ready. Enterprises are buying conversation and discovering they need resolution. "Voice has become another interface for AI," said Manoj Agarwal, Co-Founder and President at DevRev. "The interesting engineering problem isn't making an agent sound more natural. It's giving an agent enough context to make the right decision while the customer is still on the line. In an enterprise, the answer rarely lives in one place. It lives across tickets, documentation, customer records, orders, engineering systems, and business applications. If an agent can't reason within that context, it must eventually hand the conversation to someone who can. Shared organisational memory changes that by giving an agent enough context to resolve a problem instead of simply responding to it." Enterprise memory extends depth of voice automation Computer, by DevRev, builds a shared organisational memory by continuously synchronising information across customer records, support tickets, orders, code, documentation, and business applications while preserving existing permissions. With today's announcement, those same agents can now handle live calls, extending the same organisational memory, permissions, and workflows into another customer channel rather than introducing a separate voice AI product. Many voice agents escalate unresolved calls because they don't have access to the data required to resolve a caller's query. Because DevRev's Voice AI is grounded in the shared organisational memory of your business, it reasons across systems to determine what happened, explains the issue, provides the latest status, initiates the corrective workflow, and documents every action taken, all within a single conversation. When a conversation needs a person, Voice AI hands off to a human agent with the full conversational context intact, so customers never have to start over. Conversations run in multiple languages with the low latency of natural speech, and every call is recorded, transcribed, and available for analysis out of the box. Built for production enterprise AI Voice AI in Computer is designed for production enterprise environments. It connects to existing enterprise telephony through SIP-based integration, and existing DevRev customers can add voice without deploying another AI platform or rebuilding workflows they already run, allowing organisations to extend the same AI agent across chat, email, and voice. Setup is seamless: Computer studies an organisation's business data and ships a working first version of Voice AI within hours, no army of engineers required. From there, it improves with every conversation, recommending weekly refinements based on real performance, so the agent on day ninety is measurably better than the one launched on day zero. Governance carries over with it, and field-level permissions are inherited directly from connected systems. Now, every interaction is auditable, and every action is traceable, so the controls an organisation applies elsewhere remain consistent during a live call. To lead the next phase of its Voice AI strategy, DevRev has appointed Jennifer Heape to lead Voice AI product. Heape brings extensive experience building enterprise conversational AI, including co-founding and leading product strategy at Vixen Labs. "I joined DevRev because the company is focused on what customers actually care about: resolving their issue during the conversation with customer support," said Heape. "A call can sound polished and still be a poor experience if the agent cannot reach the information needed to solve the problem. Customers do not care which system holds the answer. They care whether they have to repeat themselves, wait for a transfer, or call back again. Bringing voice into Computer means the conversation can carry the full business context with it, and that is what makes DevRev's Voice AI so exciting." Why architecture matters The architecture behind Voice AI is the same architecture validated through Enterprise-Bench, DevRev's open benchmark for evaluating enterprise AI systems under real production conditions. Enterprise-Bench demonstrated that enterprise AI performance depends not only on the underlying model but on the architecture responsible for retrieving, reasoning over, and acting on enterprise data. Computer achieved 94.3% accuracy on the benchmark while using four times fewer tokens per correct answer than Claude Code on identical tasks using the same model, showing that the difference came from system architecture and data context rather than the model itself. Voice AI extends that architecture into another customer channel. The same organisational memory that produces trusted answers across chat and email now powers live conversations. Availability Voice AI can be accessed across the agentic suite in Computer.

Enterprise AI is burning tokens without context and teams are paying the price. The latest version of Computer, by DevRev, delivers speed with clarity, including expanded shared memory for individuals, teams, and organizations; a new content-producing desktop app; Agent Studio for AI agent development; and multiplayer AI Pembelajaran Mesin & Kecerdasan Buatan PALO ALTO, Calif., May 21, 2026 (GLOBE NEWSWIRE) - DevRev, an AI-native enterprise software company transforming how teams and customers collaborate, today announced the newest release of Computer, by DevRev, its AI teammate for enterprise teams. The release addresses the three biggest failures of modern enterprise AI: models that have no memory of a business, insights that disappear the moment they leave a user's screen, and AI that answers questions but can't safely take action. Temukan lebih banyak Electric Vehicles Mobil & Kendaraan The rest of the industry has responded to these failures by focusing on selling speed - working faster, producing more outputs, increasing token use - resulting in organizations running world-class models on ineffective infrastructure. The Upwork Research Institute states that 96% of C-suite leaders expect AI to boost worker productivity, but 77% of employees report AI has increased their workload. Focusing on metrics like speed and token volume - "token maxxing" - without clarity distracts from progress, and advocating for applying more compute to inadequate contextual data only produces more noise.The result: knowledge workers lose hours a day hunting for information across disconnected systems, and the people meant to benefit from AI are left holding the bill for its failures. Computer is built on a different philosophy: delivering both speed and clarity. This solves the context problem through "shared memory," a curated, living picture of an organization's data, how the organization works, and how its people interact. Shared memory is the architectural foundation that enables: Precision: answers sourced from real business data, cited and referenced so teams can stand behind them. Efficiency: trusted answers at lower cost, lower token usage, no analyst required, full context on the first response. Safety: nothing goes out before a human approves it, with full audit trails and the ability to undo any agent action. When AI has this context, it stops guessing and starts acting like a trusted member of the team. Reliable performance builds trust; trust unlocks action. That progression - from trusted answers to safe actions - is what makes multiplayer collaboration between humans and AI possible across every function. Temukan lebih banyak Kendaraan Listrik & Plugin "Every AI company is selling speed, which is fueling the next enterprise crisis. This will be the latest form of workplace burnout if we don't do something about it," said Dheeraj Pandey, Co-founder and CEO at DevRev. "Speed without the right context is just faster noise, noise that overloads humans in the loop, and eventually breaks them. Computer is built on a different philosophy: work softer. Give AI the enterprise memory and shared context it needs to perform reliably, and then let it take action. Only then will your people have the confidence that the AI they use is performing the tasks they need it to, more accurately and with less handholding." What is new in the newest release of Computer The evolution of shared memory at every level ensures that every Computer session now builds on the last. At the individual level, Computer learns how each person works, picking up where they left off with each new session. At the team level, the skills and AI agents one person develops become available to everyone. At the organizational level, institutional knowledge stays in the system permanently. When a top-performing rep leaves, their account knowledge does not leave with them. Before this release, AI insight disappeared the moment it left one person's screen. Now the introduction of Multiplayer AI lets teams share a live Computer session where everyone sees the full context and continues the analysis together. Colleagues can question, build on, and correct reasoning in real time. In a 2025 study, KPMG and University of Melbourne reported that 57% of employees admit to using AI in non-transparent ways, including avoiding revealing when they have used AI tools to complete their work. Teams rarely benefit from one another's AI work. Multiplayer AI changes the unit of attribution from "what I did with AI" to "what we did with AI, together." Earlier versions of Computer answered questions and took single-step actions. The addition of the new desktop app shifts Computer from a question-answering tool to a content-producing system. From the in-app canvas, any user can generate complete, fully branded and formatted work artifacts grounded in real business data: competitive slide decks, QBR reports, structured dashboards, knowledge base articles, and multi-step workflows; these outputs are available in a variety of file formats, including PPT, HTML PDF, DOCX, and more. Skills and outputs built in the Canvas are saved at the user, team, or organization level and become reusable across the business. Agent Studio gives any team the ability to build, test in a sandbox environment, and deploy AI agents that take action across connected systems. Every action runs under individual user permissions, not a shared account. Every step is traceable, auditable, and reversible: if an agent makes a mistake, it can be rolled back. Key capabilities at a glance Shared Memory: personal, team, and organizational memory that compounds over time Trusted Answers: intent-aware search and consistent data answers. Same question, same answer, every time. Computer doesn't guess - it knows, and it shows its work. Safe Actions: governed, auditable actions across your systems. Computer acts on your behalf with guardrails, so teams move faster without risk. Multiplayer AI: shared live sessions for human-to-human, human-to-AI, and team-wide collaboration Skills - reusable workflows that any team can build, share, and deploy. One person's expertise becomes everyone's capability. Agent Studio allows users to build and deploy AI agents with sandboxed testing, full audit trails, and rollback Additional capabilities: Text2SQL: analytical queries across structured data in plain language, no data analyst required Connectors: Gmail, Outlook, Slack, Notion, Google Drive, Jira, Microsoft OneDrive, SharePoint, and any MCP-compatible tool Usage-based pricing: that scales with adoption and not headcount With the newest release of Computer, the above capabilities are all generally available today. Results from customers in production More than 250 organizations have Computer live in production, with over 1,000 users onboarded since launched in September 2025. Customers include BILL, HDFC Bank, and FAME, spanning financial services, aviation, retail, and technology. The results Computer, by DevRev's customers are reporting speak for themselves. Customers Pebl and Uniphore are resolving 85% of support tickets without any human involvement. BILL has achieved around $5M in operational savings. India's largest airline went from kickoff to production in 14 days and selected Computer over Salesforce Agentforce in a head-to-head evaluation. A retail loyalty customer is saving $1.2M annually, with sales reps reclaiming six hours a week and the team reporting a 30% productivity boost. And FAME is saving users more than 10 hours a week, resolving tickets approximately 40% faster, and accelerating specific workflows by up to 75%. Availability Across web, mobile, and desktop. Use Computer from any device. Inside the DevRev system of record apps. Existing DevRev customers can access Computer directly within their current workflow without switching surfaces. Visit devrev.ai to learn more about the enterprise offering, book a demo, or start a free trial of Computer. Usage-based pricing with plan and billing management are available at https://devrev.ai/pricing About DevRev DevRev is redefining enterprise software with AI-native solutions that unify siloed data and transform how teams and customers collaborate. Its patented technology takes structured and unstructured data from existing tools like Salesforce, Jira, and Zendesk, organizing it into a knowledge graph that powers conversational enterprise AI. With DevRev, businesses get precise answers, real-time analytics, and automated workflows to unlock unrealized value. Founded in 2020 and backed by Khosla Ventures and Mayfield, DevRev is led by co-founder and CEO Dheeraj Pandey, former co-founder and CEO of Nutanix and an Adobe board member, alongside co-founder Manoj Agarwal, former SVP of Engineering at Nutanix. Headquartered in Palo Alto, DevRev operates globally across eight offices. Pembelajaran Mesin & Kecerdasan Buatan Media relations contact: [email protected]

DevRev, an AI-native enterprise software company, has appointed General Richard Clarke, U.S. Army (Retired), to its board of directors. Clarke brings nearly 40 years of military leadership experience, most recently serving as Commander of U.S. Special Operations Command, where he led over 75,000 personnel with a budget exceeding $25 billion. Clarke currently serves on boards at General Dynamics, Innodata and Shift5, and holds advisory roles at General Atomics. He is a West Point graduate and holds an MBA from Benedictine College. Founded in 2020 by former Nutanix leaders, DevRev develops Computer, a conversational AI teammate that unifies enterprise data into a knowledge graph. The appointment comes as DevRev expands its global enterprise presence, backed by Khosla Ventures and Mayfield.