Latest news with #AIIntegration
Entrepreneur
6 days ago
- Business
- Entrepreneur
CodeKarma, MangoPoint, and NPrep Raise Early-Stage Funding
The below brands have announced their latest funding rounds. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. Developer Productivity Startup CodeKarma Raises USD 2.5 Mn Round CodeKarma has raised USD 2.5 million in a pre-seed funding round led by Prosus, Accel, and Xeed Ventures. SenseAI Ventures and Stargazer Ventures also participated in the round. The funds will be used for global expansion, development of AI-native infrastructure, and strategic hiring. Founded by Ananth Vanchi in 2025, CodeKarma offers a software productivity platform that integrates real-time production insights into development workflows. Its key features help developers and AI systems identify risks, eliminate unused code, and enhance software quality through a continuous feedback mechanism. The platform is particularly relevant for sectors such as e-commerce, fintech, and logistics, where fast-paced deployments and large codebases require deeper visibility and intelligent automation. "Our mission is to redefine how software evolves, not after deployment but as it is being built," said Ananth Vanchi. "This funding is a strong validation of our vision and will help us expand globally, attract top talent, and continue innovating across enterprise environments." Tech advisor Utkarsh noted that CodeKarma reflects the future of intelligent software systems shaped by collaboration between developers and AI agents. He said it was a product born to meet the needs of the AI era. CodeKarma aims to become the definitive platform for autonomous software intelligence, enabling systems to self-monitor, self-optimise, and self-correct in real time. MangoPoint Raises USD 1 Mn from IPV Chennai-based agritech exporter MangoPoint has raised USD 1 million in a pre-Series A funding round led by Inflection Point Ventures. The round also saw participation from The Chennai Angels, Native Angel Network, Keiretsu Forum India, Fondation Botnar, IIM-CAN, Metis Family Office, and JITO Incubation and Innovation Foundation. The funds will be used to expand infrastructure, enter new markets, enhance backend operations, and broaden product offerings. Manjula Gandhi Rooban, Founder and Managing Director of MangoPoint, said the funding will drive scalability and support innovation across the mango value chain. "This investment enables us to move beyond fresh mango exports into processed mango-based ingredients, strengthening our position as a leader in the sector," she said. MangoPoint was founded in 2018 by Manjula Gandhi Rooban and Prasanna Venkatarathnam. The startup exports chemical-free, single-origin mangoes and processed mango products, primarily to markets in North America and Europe. It currently manages over 2,000 metric tonnes of mangoes annually and plans to scale up to 20,000 metric tonnes. With FDA clearance and recognition from APEDA and NPPO, MangoPoint operates certified packhouses for international shipments. Its offerings cater to industries including food, cosmetics, and pharmaceuticals. The company aims to build a comprehensive mango ecosystem that integrates quality sourcing, export compliance, and value-added processing for global customers. All In Capital Leads Investment in AI Nursing Startup NPrep NPrep, an AI-powered nursing education startup, has raised an undisclosed amount in a pre-seed funding round led by All In Capital. IIMA Ventures, Chegg founder Aayush Phumbhra, and various family offices and angel investors also participated. The funds will be used to expand course offerings, enhance its AI-driven learning platform, support regional language learning, and deepen placement partnerships with hospitals and healthcare institutions across India. "Our vision is to empower every nurse, regardless of background, with the skills and confidence to advance their careers and improve patient care," said Dr Prince Kaushik, Co-founder and CEO. NPrep was founded in 2024 by AIIMS Jodhpur alumni Dr Prince Kaushik, Dr Utkarsh Paliwal, and Dr Gourav, along with AI expert Shrey Gupta. The startup provides a learning and placement platform designed to improve nursing education through personalised, adaptive training paths. It offers clinical scenario simulations, mock interviews, automated assessments, and resume-building tools aimed at increasing job readiness. Currently reaching over 2 million learners each month, NPrep has grown its user base to 40,000 students in the past six months. With India facing a critical nursing shortage, the startup aims to bridge gaps in education and employability. Future plans include expanding placement services across India and into international markets in the coming years.
Time Business News
06-08-2025
- Business
- Time Business News
What Is Generative AI Integration and Why It's Reshaping Enterprise Systems in 2025
Generative AI is no longer just an experimental tool or a novelty—it's become a core component of enterprise infrastructure. But here's the real shift in 2025: enterprises are no longer just using generative AI—they're integrating it deeply into their systems, workflows, and digital ecosystems. So, what exactly is Generative AI Integration Services, and why is it turning heads in enterprise tech circles this year? Let's break it down. Generative AI integration refers to the embedding of generative models—like GPT, DALL·E, Claude, or other custom LLMs—directly into enterprise systems, platforms, and operational workflows. It's not about merely running ChatGPT on the side. It's about connecting the core intelligence of generative models with enterprise applications like CRMs, ERPs, supply chain systems, HR tools, knowledge bases, and custom-built software. But integration isn't just a plug-and-play situation. It requires: Custom APIs and SDKs Enterprise-grade orchestration Secure model deployment (on-prem or hybrid cloud) Data governance and privacy controls Role-based access and auditing Fine-tuned models aligned with company-specific data In other words, generative AI is no longer a feature—it's becoming an engine inside modern enterprise systems. Enterprise interest in generative AI started picking up in 2023, but it was mostly experimental: prototypes, pilot projects, maybe a customer service chatbot here and there. In 2024, the narrative matured. By 2025, the pace has accelerated, and now it's a boardroom priority. What changed? Vendors like OpenAI, Cohere, Google, and Anthropic have started offering enterprise-grade APIs and model-serving capabilities that support secure deployment at scale. More importantly, organizations can now host models behind firewalls, fine-tune them with proprietary data, and maintain data residency compliance (critical for global companies). New platforms have emerged that bridge the gap between generative AI models and legacy systems. Think of tools like LangChain, Microsoft Azure AI Studio, or AWS Bedrock. These tools let enterprises connect their data lakes, internal APIs, and workflow automation engines to generative models, allowing intelligent, real-time responses that aren't 'hallucinated' but grounded in business logic. Every CIO today is under pressure to modernize operations, boost productivity, reduce manual work, and increase customer satisfaction. Generative AI offers an enticing proposition: automating knowledge work, accelerating product development, and unlocking deeper insights from internal data. In short, the technology is ready, the tools are mature, and the business need is urgent. Let's explore real-world examples and patterns we're seeing across industries: Integrating generative AI into enterprise resource planning (ERP) systems means procurement teams can generate supply forecasts from historical data, customer service teams can auto-generate personalized responses, and sales teams can get AI-generated summaries of deal histories. Example: A logistics company uses a fine-tuned LLM to analyze route inefficiencies, generate optimal delivery schedules, and simulate weather-related impacts—all within its existing ERP dashboard. HR systems are integrating generative AI to streamline onboarding, draft performance reviews, and create customized learning paths for employees. Instead of navigating through multiple tools, employees interact with a single AI assistant that 'knows' their role, history, and career goals. Example: A Fortune 500 uses a generative co-pilot trained on internal policies to answer HR queries, guide employees through benefits selection, and even draft job descriptions for open roles. Accounting teams are using generative models to auto-generate monthly reports, summarize audit trails, and even detect anomalies in real time. Integrated with enterprise finance tools, these models reduce the manual load drastically. Example: A SaaS firm uses a custom GPT-based bot that connects with its general ledger and automatically writes narrative reports on revenue trends and departmental expenses—saving analysts hours every week. In sectors like pharmaceuticals, automotive, and software, generative AI is being used to ideate, simulate, and even design new products. Integrated into design systems, LLMs help researchers query massive data repositories and draft new formulations or code snippets. Example: A biotech firm integrates generative AI into its molecule simulation platform to automatically generate hypotheses and design next-gen compounds based on past experimental data. Different enterprises approach generative AI integration based on their maturity and needs. Here are three dominant models: Generative AI acts as an intelligent assistant embedded inside apps like Excel, Salesforce, or Jira. It augments the user interface without disrupting the core system. AI models are embedded in automation workflows (e.g., via RPA or BPM tools), generating content, documents, or decisions in the flow of work. In more advanced scenarios, companies redesign entire systems around generative capabilities, often using microservices to embed AI into the logic layer. With deeper integration comes greater responsibility. In 2025, enterprises must adopt a multi-layered governance model for generative AI: Data lineage tracking to ensure outputs are traceable to ensure outputs are traceable Bias audits to monitor ethical performance to monitor ethical performance Access control to prevent model misuse to prevent model misuse Legal safeguards for content generated by AI for content generated by AI Audit logs for regulatory compliance Regulators, especially in the EU and the US, are now requiring transparency in how AI-generated content is used, especially in finance, healthcare, and public services. Despite the promise, integration is not plug-and-play. Generative models need context. Enterprises must connect disparate data sources—structured and unstructured—for meaningful output. Solution: Knowledge graphs, data lakes, and vector databases (like Pinecone or Weaviate) are now part of the AI integration stack. Generic models still hallucinate facts. This is a deal-breaker in high-stakes environments. Solution: Retrieval-Augmented Generation (RAG) architectures and fine-tuned models based on proprietary corpora solve this by grounding responses in enterprise data. There's a gap in developers who understand both enterprise systems and generative AI models. Solution: Companies are upskilling internal teams through partnerships, bootcamps, and certifications—and in many cases, forming GenAI Centers of Excellence. Think of generative AI not as a tool, but as a new operating layer. In 2025, enterprises are beginning to treat these models the same way they treated databases in the 1990s or cloud computing in the 2010s. It's not whether you'll integrate generative AI—but how deeply and how responsibly you'll do it. The question, 'What Is Generative AI Integration and Why It's Reshaping Enterprise Systems in 2025,' is more than just a prompt—it's a signal. A signal that we've entered a new phase where generative intelligence is woven into the core of how businesses operate. For tech leaders, the time to experiment has passed. 2025 is the year to scale. TIME BUSINESS NEWS
Yahoo
06-08-2025
- Business
- Yahoo
Nextiva Named a Strong Performer in the 2025 Gartner® Peer Insights™ ‘Voice of the Customer' for Contact Center as a Service
Nextiva's customer-validated recognition highlights its dedication to seamless deployment, reliable support, and AI-ready infrastructure for today's contact centers. SCOTTSDALE, Ariz., August 06, 2025--(BUSINESS WIRE)--Nextiva, a leading provider of cloud-based customer experience management solutions, today announced it has been recognized as a Strong Performer in the 2025 Gartner® Peer Insights™ "Voice of the Customer" for Contact Center as a Service (CCaaS). Based entirely on verified customer reviews, in our opinion, this distinction reflects Nextiva's strong performance across deployment, support, and overall experience as judged by real-world users navigating today's rapidly evolving contact center landscape. The Gartner® Peer Insights report collected reviews from 28 users and the scores are based on their feedback: Here is a breakdown of each category: 4.8★ Deployment Experience 4.7★ Sales Experience 4.6★ Support Experience 82% of customers said they would recommend Nextiva "What makes this recognition so impactful is that it's driven entirely by the voices of our customers," said Yanvi Masjedi, Nextiva CMO. "It reflects not only the trust they place in us today, but also how our platform, services, and people are helping them simplify complexity, scale with confidence, and prepare for the next generation of customer engagement. As AI reshapes how businesses operate, we're focused on delivering solutions that are easy to use, bring all your data together, and show results fast because buyers need more than just promise; they need proof." This recognition comes at a time when customer experience leaders are under pressure to adopt agentic AI quickly, improve automation, and keep operations running smoothly. According to the latest research, AI success starts with the right foundation: clean, trusted data, flexible systems, and platforms people actually believe in. In our opinion, Nextiva scores for its deployment services, ensures fast, low-friction onboarding, and for its pragmatic approach to innovation—prioritizing features that solve real customer problems. We feel these scores position the company to support organizations looking to move quickly without sacrificing reliability or trust. As organizations seek future-ready CCaaS platforms that can scale with customer expectations, Nextiva's recognition in the Gartner® Peer Insights report provides trusted, third-party validation grounded in real-world performance. Required Disclaimer GARTNER is a registered trademark and service mark of Gartner and Peer Insights is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Nextiva. About Nextiva Nextiva powers over a million users and billions of interactions annually with its customer experience platform. From one AI-powered customer experience hub, Nextiva Unified-CXM transforms how businesses engage with their customers with orchestrated customer journeys that help businesses acquire, retain, and grow customers. The company's commitment to Amazing Service® and a customer-focused approach has been the cornerstone of its success. Nextiva was established in 2008 and is headquartered in Scottsdale, Arizona. Discover more at View source version on Contacts Media ContactPatrick Lenihanpatrick@
The Verge
28-07-2025
- The Verge
Microsoft Edge transforms into an AI browser with new Copilot Mode
Microsoft is starting to test a new experimental Copilot Mode inside its Edge browser today. The AI-powered mode allows Copilot to search across all your open tabs and handle tasks like booking a restaurant, and it brings the Copilot chatbot to your new tab page. Copilot Mode is somewhere between the limited Gemini integration that Google is testing in Chrome and the AI-powered overhaul that Comet offers with its AI browser. You can let Copilot see all your open tabs so you can ask it to compare a bunch of hotels you might be looking at or help summarize the best purchase from multiple product tabs. Copilot in Edge also supports voice navigation to locate information on a website or to open tabs with products to compare. Microsoft is also planning to let Copilot, with your permission, access your Edge browser history and credentials so the chatbot can book reservations on your behalf. These new Copilot features in Edge build on the existing integration of Microsoft's AI assistant in its browser and the work the company has been doing with Copilot Vision. 'Copilot will soon be able to guide you in your tasks and organize your browsing — past and present — into helpful, topic-based journeys,' says Sean Lyndersay, vice president of product for Microsoft Edge. For those not interested in this AI-powered mode in Edge, Microsoft says it will be optional and you'll be able to disable it. 'With Copilot Mode, you can also choose to turn the experience on and off as you wish through your Edge settings,' Lyndersay says. 'If you choose not to turn on Copilot Mode, you can continue to browse on Edge as usual.' Microsoft is calling Copilot Mode an 'experimental' feature that will evolve over time. It's also 'free for a limited time,' with usage limits on certain Copilot features. This suggests that Microsoft will eventually tie this new mode to some kind of subscription. Posts from this author will be added to your daily email digest and your homepage feed. See All by Tom Warren Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All Microsoft Posts from this topic will be added to your daily email digest and your homepage feed. See All News Posts from this topic will be added to your daily email digest and your homepage feed. See All Tech Posts from this topic will be added to your daily email digest and your homepage feed. See All Web
Globe and Mail
25-07-2025
- Business
- Globe and Mail
Smart Refrigerator Market Size to Hit USD 13.74 Billion by 2030, Driven by Wi‑Fi and AI-Enabled Appliances
Mordor Intelligence has published a new report on the Smart Refrigerator Market offering a comprehensive analysis of trends, growth drivers, and future projections. Introduction Mordor Intelligence, in its latest smart refrigerator market report forecasts that the global smart refrigerator market will grow from USD 8.25 billion in 2025 to USD 13.74 billion by 2030 The smart refrigerator market is advancing due to improving connectivity standards and falling sensor prices, which make connected features more accessible to mid‑range consumers. Energy-efficiency regulations and smart-home interoperability standards are shaping product roadmaps and accelerating replacement cycles. Key Market Trends Rising Adoption of Wi-Fi and AI-Integrated Models : Wi-Fi-enabled refrigerators currently lead the market, but AI-powered models with features like inventory management, voice control, and predictive maintenance are growing at a faster pace. These advanced features enhance convenience and drive consumer interest. Energy Efficiency and Eco-Friendly Refrigerants : Increasing regulatory pressure on energy consumption and the use of environmentally friendly refrigerants is pushing manufacturers to design more efficient and sustainable smart refrigerators. Growth of Multi-Door and Large-Capacity Units : French-door and side-by-side refrigerators are gaining popularity due to their premium design and spacious compartments. Larger units, particularly above 700 liters, are seeing strong growth among urban households and premium buyers. Dominance of Online and Retail Channels : Retail channels remain dominant, but e-commerce sales of smart appliances are increasing as brands invest in digital platforms and direct-to-consumer strategies, offering bundled smart home products. Market Segmentation By Product Single-Door Refrigerator: Compact and cost-effective, these models cater mainly to small households or single users, offering basic smart features like temperature control and app connectivity. Double Door Refrigerator : A popular segment for medium-sized families, double-door models provide separate freezer and refrigerator compartments with smart monitoring and energy-saving functions. Side-By-Side Door Refrigerator : Known for their spacious storage and modern design, these refrigerators often include advanced smart features such as internal cameras, touch displays, and voice assistant compatibility. French-Door Refrigerator : Positioned as a premium option, French-door models combine style with functionality, offering multiple compartments, large storage capacity, and enhanced smart home integration. By Connectivity Wi-Fi Enabled (App-Controlled) : These refrigerators allow users to monitor and control temperature, modes, and notifications via mobile apps, providing remote convenience and real-time updates. Voice Assistant & AI-Integrated (e.g., Family Hub) : Equipped with AI features and voice assistants like Alexa or Google Assistant, these models enable interactive commands, inventory management, and smart home integration. Bluetooth / Zigbee / Thread : Designed for seamless communication within home automation systems, these models use alternative wireless protocols to connect with other smart devices. Screen-Based Smart Fridges : Featuring touchscreens or smart displays, these refrigerators offer functions such as recipe suggestions, calendar integration, streaming music, and internal camera views. By Capacity (Liters) Less than 300 L : Ideal for singles or small households, these compact smart fridges are designed for limited storage needs with essential connected features. 300 – 500 L : A popular choice for small to medium families, offering a balance of storage space, smart features, and energy efficiency. 501 – 700 L : Targeted at larger families or premium buyers, these models offer enhanced features, spacious compartments, and advanced temperature management. Greater than 700 L : These high-capacity refrigerators cater to luxury households and commercial settings, featuring cutting-edge smart technologies and ample storage for bulk needs. By End User Residential : Residential users form the largest segment, driven by rising interest in connected home appliances, convenience features like app control, and premium designs tailored for households. Commercial : Smart refrigerators are increasingly adopted in offices, cafes, and retail outlets, offering benefits such as energy optimization, remote monitoring, and better inventory management. By Distribution Channel B2C / Retail : This channel dominates the market with sales through electronics stores, appliance retailers, and e-commerce platforms, supported by product bundling and online discounts. B2B / Directly from the Manufacturers : Bulk purchases for commercial setups, corporate kitchens, or institutional use are growing, with direct manufacturer relationships ensuring customization and support. By Geography North America : The region leads the market due to high smart home adoption, strong demand for premium appliances, and early technology integration. South America : Growth is steady, supported by rising urbanization and increasing awareness of connected appliances, especially in Brazil and Argentina. Asia Pacific : The fastest-growing region, driven by increasing disposable incomes, urban lifestyles, and high uptake of smart technologies in countries like China, Japan, and South Korea. Major Players Samsung Electronics Co., Ltd. Samsung is a global leader in smart refrigerators, highly recognized for its Family Hub line featuring built-in displays, internal cameras, and voice-control capabilities. These models support tasks such as creating grocery lists, streaming media, and managing other smart devices. Samsung continues investing in AI-powered cooling, connectivity and food management systems LG Electronics Inc. LG's smart refrigerator portfolio centers around its ThinQ ecosystem, integrating AI, voice assistance, and seamless mobile app control. Features like InstaView (knock-to-see window) and energy-efficient inverter compressors make LG a preferred choice among tech-savvy consumers. Whirlpool Corporation Known for reliability and accessible design, Whirlpool offers smart refrigerators with user-friendly app controls and compatibility with voice assistants like Alexa and Google Assistant. Despite being more conservative in premium technology, Whirlpool stays competitive with stable performance and wide North American reach BSH Hausgeräte GmbH (Bosch & Siemens brands) BSH operates under Bosch, Siemens and other brands, focusing on energy-efficient, smart appliance offerings tailored to European and global markets. It is increasingly adopting the Matter standard for smart home interoperability and emphasizes sustainable refrigerant use and intuitive smart displays Haier Smart Home Co., Ltd. Haier stands out as the world's largest appliance maker by unit sales, offering a broad spectrum of smart refrigerators from budget-friendly to premium, including cloud-connected models, advanced digital displays, and smart cooling technologies. It also owns GE Appliances and has strong presence in Asia, Europe and North America Conclusion The smart refrigerator market is evolving rapidly, fueled by a strong shift toward connected living and energy-efficient appliances. With a forecasted growth from USD 8.25 billion in 2025 to USD 13.74 billion by 2030, the market is witnessing increased consumer demand for advanced features like voice control, internal cameras, and app-based monitoring While North America currently leads adoption, Asia-Pacific is emerging as a key growth region due to rising incomes and expanding smart home infrastructure. The combination of premium product launches and growing mid-range offerings is making these appliances more accessible to a wider customer base. Industry Related Reports Household Refrigerators And Freezers Market : The Household Refrigerators and Freezers Market is categorized by Type (Top-Freezer Refrigerators, Bottom-Freezer Refrigerators, Side-by-Side Refrigerators, and French Door Refrigerators), Distribution Channel (Multi-branded Stores, Specialty Stores, Online, and Other Distribution Channels), and Geography (North America, Europe, Asia-Pacific, South America, and Middle East & Africa). India Refrigerator Market : The India Refrigerator Market is segmented by Product (Single-Door Refrigerator, Double-Door Refrigerator, and Others), Structure (Built-In and Freestanding), Capacity (Less Than 15 Cu. Feet and More Than 15 Cu. Feet), End User (Residential and Commercial), Distribution Channel (B2C/Retail and B2B), and Geography (North India, South India, and Others). The market forecasts are presented in terms of value (USD). Get More Insights: Refrigerator Compressor Market: The Refrigerator Compressor Market is segmented by Product Type (Centrifugal, Reciprocating, Rotary Screw, and Others), Application (Residential, Commercial, Healthcare, Industrial, and Transportation), and Geography (North America, Europe, Asia-Pacific, South America, and Middle East & Africa). The report provides market size and revenue forecasts (USD) for all the mentioned segments. About Mordor Intelligence: Mordor Intelligence is a trusted partner for businesses seeking comprehensive and actionable market intelligence. Our global reach, expert team, and tailored solutions empower organizations and individuals to make informed decisions, navigate complex markets, and achieve their strategic goals. With a team of over 550 domain experts and on-ground specialists spanning 150+ countries, Mordor Intelligence possesses a unique understanding of the global business landscape. This expertise translates into comprehensive syndicated and custom research reports covering a wide spectrum of industries, including aerospace & defense, agriculture, animal nutrition and wellness, automation, automotive, chemicals & materials, consumer goods & services, electronics, energy & power, financial services, food & beverages, healthcare, hospitality & tourism, information & communications technology, investment opportunities, and logistics. For any inquiries or to access the full report, please contact:media@
