Latest news with #AgentBuilder
Business Wire
5 days ago
- Business
- Business Wire
SignalWire Partners with Amazon Web Services to Power Advanced Voice-to-Voice AI Experiences with Nova Sonic Integration
PALO ALTO, Calif.--(BUSINESS WIRE)--SignalWire, the leader in Programmable Unified Communications (PUC), today announced an exciting partnership with Amazon Web Services (AWS) to integrate AWS's Nova Sonic voice-to-voice AI model into the SignalWire platform. This strategic collaboration empowers AWS customers and developers to seamlessly embed Nova Sonic's speech-to-speech capabilities within SignalWire's robust and flexible communications infrastructure. The integration introduces an innovative and powerful new verb, amazon_bedrock, into SignalWire Markup Language (SWML), fully compatible with SignalWire's SDK. Developers now have an effortless pathway to building AI-driven voice applications powered by AWS Nova Sonic, significantly enhancing user experiences with exceptional accuracy, responsiveness, and human-like conversational quality provided by SignalWire's full-stack communications solution. With SignalWire AI Gateway and services, customers can extend Nova Sonic's functionality to execute tasks across external applications, including performing lookups or updating service tickets, further streamlining operational workflows and creating more dynamic voice AI interactions. SignalWire's open source Agent Builder also supports building Nova Sonic powered voice agents through a visual, no-code interface that automatically generates SWML configurations. Developers can get started immediately with the Agent Builder—available on GitHub—enabling rapid prototyping and deployment of intelligent, context-aware voice agents. Learn more and access the open source Agent Builder here: 'Our collaboration with AWS opens a new frontier of possibilities for developers and businesses alike,' said Anthony Minessale, CEO and co-founder of SignalWire. 'By integrating Nova Sonic directly into our SWML, and extending that support to our open source Agent Builder, we're enabling developers to build intelligent voice experiences quickly and flexibly, without dealing with telecom complexities. This partnership reinforces SignalWire's dedication to providing the most advanced and developer-friendly PUC platform in the industry.' Learn more about SignalWire and its fully Programmable Unified Communications platform: About SignalWire SignalWire delivers the most advanced Programmable Unified Communications platform, trusted by developers and businesses worldwide. With industry-leading ultra-low end-to-end latency (~500ms), enabled by a full-stack communications infrastructure, SignalWire simplifies the creation of engaging and highly responsive AI-driven interactions, eliminating telecom complexity and accelerating development cycles.
Business Wire
30-07-2025
- Business
- Business Wire
SignalWire Launches Open Source Agent Builder Beta, Accelerating Voice AI Development
PALO ALTO, Calif.--(BUSINESS WIRE)--SignalWire, the leader in Programmable Unified Communications (PUC), today announced the early access beta release of its open source SignalWire Agent Builder. This innovative, no-code platform empowers developers to rapidly build, test, and deploy sophisticated AI voice agents on SignalWire's full-stack communication infrastructure. SignalWire Agent Builder combines an intuitive visual interface with advanced AI capabilities, significantly simplifying the creation of conversational voice agents. By automatically generating SignalWire Markup Language (SWML) configurations, developers can seamlessly integrate voice AI agents with SignalWire's telephony services without writing code or managing infrastructure. The Agent Builder is powered by SignalWire's robust Agent SDK, which includes gateways to a flexible skills system and an open-source Retrieval-Augmented Generation (RAG) stack, further enhancing AI agent capabilities. SignalWire's industry-leading latency (~500ms), enabled by its full-stack communications platform, results in exceptionally human-like interactions. Developers no longer need to learn or worry about telecom complexities when building AI Voice Agents with SignalWire. "Open source is part of our DNA at SignalWire," said Anthony Minessale, CEO and co-founder of SignalWire. "With the SignalWire Agent Builder, we're continuing our commitment to the developer community, allowing FreeSWITCH developers and newcomers alike to harness cutting-edge voice AI capabilities effortlessly. This platform marks a significant leap forward in how voice agents are built and deployed." Key features of the Agent Builder beta include: Visual agent configuration without code Automated SWML generation for fast deployment Integrated skill testing and media asset management Knowledge-base integration for context-rich conversations Real-time collaboration and call analytics By removing complexity and streamlining workflows, SignalWire Agent Builder addresses critical challenges faced by enterprises, from customer support automation to sophisticated sales interactions. Its cloud-native architecture ensures scalability for businesses of all sizes. Developers can access the beta immediately via GitHub, supported by comprehensive documentation and a dedicated community on Discord. For more information, visit This announcement coincides with SignalWire's presence at ClueCon 2025, showcasing its latest innovations directly to the developer community. Learn more here: SignalWire delivers the most advanced Programmable Unified Communications (PUC), trusted by developers and businesses worldwide.
Yahoo
05-06-2025
- Business
- Yahoo
UiPath's AI Pivot Is Underway. Time to Buy the Stock?
UiPath is looking toward artificial intelligence to help reinvigorate its growth. The robotic automation specialist says its AI solutions have been gaining momentum. The stock is cheap, but the company needs to speed up growth to jumpstart its stock. 10 stocks we like better than UiPath › With the advent of artificial intelligence (AI), UiPath (NYSE: PATH) has had to make a significant technological pivot. But this isn't the first time the company has undertaken a major technological shift. It began by outsourcing software services and transitioned into a leading robotic process automation (RPA) company. RPA uses software bots to handle repetitive human tasks, and thus is used to help automate processes such as invoice and payroll processing and data entry. Today, the company is looking to become an end-to-end automation platform that integrates AI agents and robots into a single unified platform. It wasn't long ago that UiPath was growing rapidly, posting a 31% revenue increase for the quarter that ended Jan. 31, 2024. Today, the company is still growing, just at a much more modest pace, with revenue rising 6% in its fiscal 2026 first quarter to $357 million. Its annual recurring revenue (ARR) climbed 12% year over year to $1.7 billion. ARR measures yearly billed amounts from subscription licenses as well as maintenance and support obligations, and it's an important metric for predicting revenue growth. It doesn't include perpetual licenses or professional services. It saw new net ARR of $27 million in the quarter. The company has seen strength in the public sector, particularly with the federal government. This included a significant win with the Air Force to support its digital transformation efforts. Dollar-based net retention was 108% on a trailing-12-month basis, down slightly from 110% last quarter. Numbers above 100% show spending growth by existing clients after churn. Customers with $100,000 or more in ARR increased 13% to 2,365, and those with $1 million or more rose 10% to 316. UiPath finished the quarter with $1.6 billion in cash and marketable securities and no debt. It generated $116 million in operating cash flow and bought back 21.9 million shares in the quarter. On its earnings call, management called its agentic automation platform the most successful product introduction in its history. While still early, both its agentic orchestration platform, called Maestro, and its Agent Builder, which helps users develop and deploy AI agents, have seen strong early adoption. It plans to implement a new consumption-based pricing model for its agentic solutions. It said its first deal since its AI products became generally available was with a Fortune 15 global health company that signed a multi-year, multimillion-dollar expansion for UiPath's Maestro and Agent Builder. Despite the early success, the company does not expect its AI solutions to be material contributors to revenue this fiscal year. However, it is looking for them to set the stage for meaningful new revenue streams in fiscal 2027 and beyond. The company has forecast fiscal second-quarter revenue in the range of $345 million to $350 million. It guided for ARR to be between $1.715 billion and $1.72 billion. For its full fiscal year, management forecasts revenue to be between $1.549 billion and $1.554 billion, up from a prior outlook of $1.525 billion to $1.53 billion. It projects ARR to be between $1.82 billion and $1.825 billion, up from its previous outlook for $1.816 billion to $1.821 billion. Shares trade at a forward price-to-sales ratio of 4.3 based on this year's analyst estimates, but after taking out its $1.6 billion in net cash, it trades at a ratio of enterprise value to forward sales of only 3.3. That's very cheap for a profitable software company with a high gross margin (85% last quarter) and solid cash flow. That said, tech investors tend to be all about growth, so value names in tech often struggle to gain traction. UiPath's new AI solutions will really need to reinvigorate revenue growth for the stock to work from here. Agentic AI -- systems capable of autonomous decision-making and actions -- is a big opportunity, and the company's ability to use both RPA and AI agents depending on the situation could be a differentiator. Still, a lot of companies are currently pursuing agentic AI, so this is likely to be a competitive field. Given UiPath's valuation and the company's proven ability to transform its business previously, I think the stock looks attractive at current levels. However, I would still consider it a bit more speculative in nature, given that its AI strategy has yet to be proven, and a lot is riding on it. Before you buy stock in UiPath, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and UiPath wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,538!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $869,841!* Now, it's worth noting Stock Advisor's total average return is 789% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Geoffrey Seiler has positions in UiPath. The Motley Fool has positions in and recommends UiPath. The Motley Fool has a disclosure policy. UiPath's AI Pivot Is Underway. Time to Buy the Stock? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
05-06-2025
- Business
- Yahoo
Indico Data unveils AI-driven Agentic Decisioning Platform for insurers
Insurtech company Indico Data has launched a new Agentic Decisioning Platform designed specifically for the insurance sector. This suite of AI agents and agentic solutions is designed to augment underwriting and claims decisioning in commercial insurance, the company said. The platform includes Agent Studio, Agent Builder and Agent Workflow Canvas, and has been developed specifically for commercial insurers. The platform will allow carriers to replicate human decision-making in complex workflows including triage, analysis and validation of submissions, the company claims. Indico noted that the platform has led to a more than 80% reduction in manual processing time, a four-times increase in submission handling capacity, and 85% faster turnaround in underwriting and claims processing among insurers that have adopted the technology. The Agentic Decisioning Platform comprises specialised Extraction & Classification, Summarisation, Validation, Data Enrichment and Web Research agents. These agents are intended to handle insurance tasks such as data retrieval, document summarisation, accuracy checks, contextual data integration and web-based information gathering. Agent Builder allows insurers to create customised agents for tasks such as field extraction, classification, validation and summarisation using pre-built templates. The Agentic Workflow Canvas enables users to assemble these agents into complete decision-making workflows, with support for conditional logic, parallel execution and data routing. Current applications include underwriting submission triage, summarisation of multi-year loss run data, ingestion of broker communications, delegated authority bordereaux processing and early-stage claims triage. The Agentic Decisioning Platform is available as part of Indico's Decision Automation Platform. Indico Data CEO Tom Wilde said: 'This is the moment the industry shifts from automation to autonomy. Agentic Decisioning isn't just about efficiency – it is about enabling the insurance enterprise to operate with real-time intelligence, at scale, across every submission. We built this for AI impact, not AI experimentation. 'The Indico platform is the foundation for those ready to lead – not just survive – the next decade of insurance.' In April, Indico Data launched its Ready for Guidewire validated accelerator for ClaimCenter on Guidewire Cloud, available via the Guidewire Marketplace. "Indico Data unveils AI-driven Agentic Decisioning Platform for insurers " was originally created and published by Life Insurance International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Yahoo
30-05-2025
- Business
- Yahoo
UiPath (NYSE:PATH) Announces Q1 Results With US$357 Million Revenue and Updated Guidance
UiPath announced its first quarter earnings on May 29, 2025, reporting revenue growth to $357 million and an improved net loss. The company issued guidance for the second quarter and full fiscal year, targeting revenues up to $1.554 billion. This may have added positive momentum to the stock, which rose 9%, in line with robust performance seen broadly in the Nasdaq, propelled by strong tech earnings and a general market rally. The product developments like the launch of UiPath's next-generation platform may also have bolstered investor confidence amid the technology sector's recent surge. We've identified 2 weaknesses with UiPath (at least 1 which can't be ignored) and understanding the impact should be part of your investment process. Uncover 19 companies that survived and thrived after COVID and have the right ingredients to survive Trump's tariffs. The recent announcement from UiPath regarding their first-quarter earnings marks an important moment for the company. With revenue reaching US$357 million and an improved net loss, it seems their focus on AI-driven products and strategic partnerships like those with Microsoft and Deloitte is beginning to make an impact. These efforts, aimed at boosting customer relationships and expanding market opportunities, are expected to support future revenue growth and improve net margins. However, geopolitical and macroeconomic challenges, including FX headwinds and SaaS transition pressures, could impact these positive trends. Over the past year, UiPath's total shareholder return reached 7.21%, which falls below the US Software industry return of 17.2% and the US market return of 11.5%. Analysts have set a consensus price target of US$12.13, slightly above the current share price of US$11.82, indicating a modest potential upside of 2.6%. This small gap suggests that the market has appropriately priced in the company's prospects amidst sector performance. Looking ahead, the developments outlined in their earnings release may enhance revenue forecasts, although they are forecasted to remain unprofitable for the next three years. The company's strategic actions, such as go-to-market restructuring and launching new products like Agent Builder, are seen as efforts to bolster revenue growth despite external uncertainties. The stock's recent upward movement aligns with industry trends and may reflect increased investor confidence in UiPath's growth trajectory, though significant challenges remain. Click to explore a detailed breakdown of our findings in UiPath's financial health report. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NYSE:PATH. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
