“In the age of AI, software production environments are evolving in complexity at an unprecedented pace, resulting in exponential challenges in reliability and incident resolution. NeuBird’s production ops agent has demonstrated best-in-class results across accuracy, speed and token consumption across complex enterprise systems,” said Phil Inagaki, Managing Partner and Chief Investment Officer at Xora. “Gou and Vinod have successfully built and scaled three enterprise infrastructure companies previously, and have lived the problems they are solving. We’re excited to partner with them as they become the critical intelligence layer powering reliability across modern digital infrastructure.”

According to the 2026 State of Production Reliability and AI Adoption Report, engineers spend an average of 40% of their time managing incidents rather than building. With NeuBird AI, engineers can reclaim this time lost to firefighting and troubleshooting. The top challenges teams face are alert fatigue and insufficient automation leading to engineering burnout, with almost 80% of companies reporting that up to half of their on-call engineers report incident-related burnout symptoms.

Also Read: Cloudinary Launches Global Creator Community for Devs

“Enterprise IT, SRE and DevOps teams are under mounting pressure to maintain uptime, simplify incident management and innovate faster,” said Gou Rao, Co-founder and CEO of NeuBird AI. “However, modern infrastructure generates an unrelenting flood of alerts, logs and telemetry signals across hybrid and multi-cloud environments, and the tools most teams rely on still require engineers to manually correlate, investigate and remediate incidents. The result is alert fatigue, slower innovation and a disproportionate amount of skilled engineering time lost to troubleshooting.”

NeuBird AI is redefining production operations by replacing reactive, manual workflows with an autonomous production ops agent that reasons across telemetry sources, correlates signals and delivers root cause analysis (RCA) and remediation in real time, without waiting for an engineer. Unlike point solutions that address alert noise in isolation, NeuBird AI acts as an always-on expert engineer with full infrastructure context, applying domain expertise and continuous learning to resolve incidents.

Today, NeuBird AI also announced NeuBird AI Falcon, the next generation engine powering its production ops agent. It extends NeuBird AI’s purview beyond incident resolution to deliver end-to-end production operations capabilities including predictive risk detection and infrastructure cost optimization.

“Every engineer we’ve talked to describes the same problem: they spend the majority of their time responding to incidents rather than building,” said Vinod Jayaraman, Co-founder and CTO of NeuBird AI. “This productivity loss is not sustainable. With this funding, we’re focused on putting AI production ops agents into the hands of more enterprise teams, faster and with lower friction than ever before. We’re moving into a world where engineering teams need to prevent IT operations issues before they escalate, and NeuBird AI is how enterprises get there.”

Source: BusinessWire

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Leveraging over ten years of platform development and serving a community that has created more than 12 million apps, Thunkable AI brings to the table a full experience that simplifies the entire cycle of app creation – from coming up with the idea to deploying it on app stores. Through the use of AI, the platform is able to convert natural language-based instructions into working applications, thus significantly reducing the entry barrier for first-time creators and non-technical users.

“Now anyone with a device can become an app publisher, changing the game on who can participate in our digital economy and the upsides of AI,” said Arun Saigal, CEO of Thunkable. “We think AI is best used when it encourages people to be creative and helps build equal access to previously prohibitive opportunities. We’ve taken the latest AI tools to accelerate the best learnings from 10 years of platform innovation and success publishing to the App Store—and invite everyone to build, without writing a line of code.”

Also Read: Kong and Solace Forge Strategic Partnership to Deliver Unified API, Real-Time Data and Event Streaming Fabric

Traditionally, creating an app requires programming skills, design skills, and an understanding of the complex submission process. Thunkable AI helps overcome these difficulties by automating the entire process, including the publishing process, through the app stores. The entire process, from conceptualization to creation and deployment, can be completed in as little as days. In some cases, the entire process can be completed in as little as minutes.

The product is designed to cater to the needs of all types of users, from individuals and entrepreneurs to large organizations and businesses looking to create apps using the power of rapid development. Unlike other AI-based platforms, Thunkable is designed to create fully native apps, not just prototypes or web apps, and handle the entire submission and updating process through the app stores.

The features offered by the product, such as the creation of projects using AI, the ability to iterate and make changes in real-time using the assistant, and the automated publishing, make the product an end-to-end solution for the creation and development of apps using the power of AI.

The post Thunkable AI Launches No-Code Platform to Turn Ideas into Published Mobile Apps appeared first on ITDigest.

Also Read: Cloudflare Bolsters Web Development Capabilities with Strategic Astro Acquisition

In an attempt to resolve this issue, GitLab has introduced agentic code reviews at a fixed cost of $0.25 per review, which will help teams scale their code reviews while reducing the time wasted on manual reviews. In addition, GitLab has introduced generally available false positive detection for security scanning through the use of artificial intelligence capabilities while assessing vulnerabilities, their likelihood of false positives, and prioritization for faster remediation.

Read More: GitLab Enables Broader and More Affordable Access to Agentic AI Across the Software Lifecycle

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Expanding Access Through Nonprofit Partnerships

To maximize reach and impact, Cloudinary has partnered with five international tech-focused nonprofits to deliver training through structured cohorts and bootcamps. These partnerships enable the community to scale efficiently while supporting developers from diverse backgrounds.

The founding nonprofit partners are:

• Developers in Vogue from Ghana that aims to create a community of African women who are passionate about using tech to revolutionize Africa and beyond.
• GirlScript from India that started as an effort to make quality education accessible to everyone and now counts with a community of more than 500,000 learners.
• Hack Your Future from Denmark, a tech learning program for asylum seekers, refugees and others facing barriers to the Danish educational system and job market
• Tampa Devs from the US, the fastest-growing nonprofit community for software developers in Tampa Bay.
• Vets Who Code, a US-based nonprofit organization that provides free technical training to veterans.

Also Read: Kong and Solace Forge Strategic Partnership to Deliver Unified API, Real-Time Data and Event Streaming Fabric 

Media Literacy and Practical Education

The program offers structured bootcamps and certifications to help developers, designers, and builders worldwide master the visual web. Participants gain access to a dedicated Discord environment, where they can attend expert webinars, collaborate on open-source projects, learn from real-live use cases, build their portfolio and receive mentorship.

“The Cloudinary Creators Community is a practical learning environment, not a marketing initiative,” explains Jen Looper, Director of Developer Relations at Cloudinary. “It offers members the opportunity to acquire valuable skills for tackling complex, high-volume image and video management challenges. These skills are essential in today’s visual economy and give participants the practical expertise to help them advance their careers, no matter where they are based.”

“We’re excited to be one of the first nonprofits from India to collaborate with Cloudinary on this initiative,” said Anubha Maneshwar, Founding Director of GirlScript Foundation. “Media APIs and developer-first infrastructure are incredibly powerful yet underrepresented in education, and this partnership helps us bring these skills to a wider community of creators and developers. At GirlScript Foundation, we believe in opening up access to niche, high-impact technologies. Partnering with Cloudinary allows us to empower creators and developers in an area that’s rarely taught, but deeply essential in today’s digital products.”

Source: Businesswire

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Nowadays, digital companies battle more and more with disconnected systems such as REST APIs, event streams, and AI data flows that typically lead to governance blind spots and decelerate innovation cycles. With the combination of Solaces real, time data movement capabilities and Kongs API and AI connectivity, the teams can now harmonize and manage the application lifecycles, policies, authentication, and access controls not only across APIs and events but also large language models (LLMs) and MCP servers from a single pane of control.

Solaces platform offers fast real, time data transfer, event governance, and event, driven agentic AI orchestration, and Kong provides the collection of API management, security enforcement, observability, and AI gateway functionalities via Kong Event Gateway and Kong API Gateway products. The joint offering makes sure that the entire spectrum of data interactions ranging from event streams to API calls to AI, driven operations is integrated into a fully observable, governed data fabric.

Also Read: NVIDIA Enables Next-Gen Retail Platforms with an AI Catalog System

Key Business Impact

• Unified Governance: Centralized policy enforcement across API and event domains reduces risk and simplifies compliance.

• Enhanced Observability: Full traceability across REST APIs, events, and agentic AI workflows improves performance insights and operational visibility.

• AI-Ready Data Fabric: Real-time contextual information streams support next-generation AI applications and automated decision frameworks.

Executive Perspectives

“Event-driven and API-driven architectures are no longer separate concerns,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “By bringing Kong and Solace together under a unified control plane, customers gain centralized governance, consistent security policies, and end-to-end observability across every data interaction from REST APIs to streaming events to AI agent calls. This is essential for organizations scaling in the agentic era.”

Shawn McAllister, CPO and CTO at Solace, added: “Real-time data is the lifeblood of modern, agentic AI. Together with Kong, Solace is removing the silos between events, APIs, and AI services that slow down modern organizations, helping to accelerate innovation and empower teams to confidently scale their real-time, AI-ready platforms.”

About Kong’s Premium Technology Partner Program

The Premium Technology Partner Program of Kong aims to introduce world, class integrations and plugins that are validated and of high, quality into the Kong ecosystem. These innovations leverage the commercial products of Kong, such as Kong Konnect and Kong Gateway Enterprise. Premium partners get to enjoy various benefits such as engineering support, early access to product features, and collaborations that can drive business value. For the program customers, it means increased availability to a handpicked ecosystem of technologically advanced solutions supported by Kong.

The post Kong and Solace Forge Strategic Partnership to Deliver Unified API, Real-Time Data and Event Streaming Fabric appeared first on ITDigest.

Also Read: Persistent Systems and DigitalOcean Forge Strategic Partnership to Accelerate Accessible, Scalable and Secure AI

The acquisition reflects Cloudflare’s broader strategy to foster open-source innovation and embed itself deeper into the modern web development ecosystem by combining its global edge network, developer platform, and extensive tooling with one of the fastest-growing frameworks focused on reducing unnecessary JavaScript and prioritizing content delivery efficiency, a move seen as a competitive step in the platform landscape that challenges other web framework and hosting providers and signals Cloudflare’s intent to be a foundational infrastructure partner for developers worldwide.

Read More: Cloudflare Acquires Astro to Accelerate the Future of High-Performance Web Development

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E-commerce businesses frequently struggle with product catalogs that contain sparse metadata, generic visuals, and brief descriptions. This absence of depth not only hampers search performance and customer engagement but also poses scalability challenges for manual enrichment efforts. Using NVIDIA’s Retail Catalog Enrichment Blueprint, merchant and catalog teams can automate and standardize the creation of enriched multilingual content at scale, removing bottlenecks and human inconsistency.

AI-Powered Catalog Enrichment: Universal, Localized, Interactive

The core of the system is a modular pipeline that combines NVIDIA’s cutting-edge AI models and tools, including large language models (LLMs), vision-language models (VLMs), image generation frameworks, and 3D asset tools. By starting from a minimal set of inputs such as a single product image and locale identifier the pipeline generates rich, contextual metadata alongside visual and interactive assets.

Using this framework, catalogs can automatically deliver:

• Localized, SEO-optimized titles and descriptions
• Accurate categories, attributes, and comprehensive tags
• Culturally adapted 2D visuals
• Interactive 3D models
  All tailored for regional audience relevance and brand voice alignment.

Three-Stage AI Workflow for Scalable Enrichment

The solution leverages a highly responsive three-stage API architecture designed for high-throughput catalog enrichment:

1. Vision-Language Analysis – VLM endpoints analyze imagery and base product data to produce rich structured content, including localized metadata.
2. Image Variation Generation – Image models create culturally relevant 2D visuals based on localized descriptions and tags.
3. 3D Asset Creation – The system outputs interactive 3D product models that can be integrated into digital storefronts or AR/VR experiences.

Quality Assurance and Brand Expression

To prevent common issues associated with generative AI output such as visual inaccuracies or hallucinations the system integrates a quality evaluation loop powered by VLM models. This “reflection” mechanism verifies generated assets against the original source, maintaining fidelity in attributes like color, texture, and structural detail.

In addition, brands can influence tone and language through custom instructions. When integrated into enrichment requests, tailored brand guidance ensures outputs align with a company’s voice and identity. For example, NVIDIA’s documentation includes an instruction template that keeps language consistent with specific marketing goals:

“You work at a premium beauty retailer. Use a playful, empowering, and inclusive brand voice. Focus on self-expression and beauty discovery. Use terms like “beauty lovers”, “glow”, “radiant”, and “treat yourself”.”

This ensures that even automated content reflects nuanced brand positioning, which is essential for retail companies seeking differentiation at scale.

Also Read: Vibranium Labs Secures $4.6M Seed Round to Expand Vibe AI, a 24/7 AI Incident Engineer

Integration Patterns and Deployment

The NVIDIA tutorial covers key architectural and integration patterns, from setting up a FastAPI backend to deploying via containerization platforms such as Docker for enterprise use. It also outlines real-world use cases, demonstrated through sample API calls that convert generic product entries into fully localized, SEO-rich listings such as transforming “Black Purse” into a compelling and descriptive retail presence.

Developers and IT teams can implement and tailor this blueprint using NVIDIA NIM (NVIDIA Interface for Models) and container-orchestration practices to support high-volume catalog workflows.

Future Growth and Extensibility

Built to support extensibility, the catalog enrichment framework can be expanded with future features including:

• Agentic social media insights that analyze real-world usage patterns and trends
• Short product video generation for dynamic marketing content
• Virtual try-on experiences and automated digital advertising asset creation
  These enhancements aim to deepen customer engagement while reducing operational overhead.

Conclusion

By combining multimodal AI capabilities with modular workflows, NVIDIA’s AI catalog system delivers a transformative approach to product discovery and enrichment. With built-in localization, brand customization, and interactive asset generation, organizations can now create differentiated e-commerce experiences that resonate with global consumers while optimizing digital asset production at scale.

The post NVIDIA Enables Next-Gen Retail Platforms with an AI Catalog System appeared first on ITDigest.

The new funds will help develop the product, grow engineering and sales teams, and strengthen partnerships in sectors where system downtime can lead to big financial and operational losses. These sectors include finance, healthcare, media, e-commerce, and defense. As digital systems grow more complex and AI-focused, Vibranium Labs wants to help businesses turn system reliability into a competitive edge.

Vibe AI monitors systems, sorts alerts, and resolves incidents with multimodal, agentic AI. It works with existing incident management tools. It pulls context from logs, dashboards, tickets, and past incidents. This helps find root causes and suggest fixes, often before engineers need to intervene.

“Every outage carries hidden costs, lost revenue, shaken confidence, and eroded trust,” said Sang Lee, Co-Founder and CEO of Vibranium Labs. “For years, incident response has followed the same script: a senior engineer getting jolted awake at 2 a.m. on a Saturday… It’s stressful, inefficient, and unsustainable.”

Also Read: HCLSoftware to Acquire Jaspersoft from Cloud Software Group

By automating early-stage incident response, Vibe AI helps reduce engineering toil while significantly improving mean time to resolution. Existing customers, including Fortune 1000 companies, report MTTR reductions of up to 85%, protecting millions in revenue and strengthening operational resilience.

The company’s momentum is further underscored by its recent selection as one of AWS’s inaugural agentic AI partners, alongside enterprise technology leaders such as Salesforce and Splunk.

“We know that Vibe AI has the potential to change incident management for companies around the globe permanently,” said Jason Schoettler, co-founder and managing partner of Calibrate Ventures.

Against a backdrop of highly visible global outages, Vibranium Labs is positioning Vibe AI as essential infrastructure for enterprises that depend on always-on digital services.

The post Vibranium Labs Secures $4.6M Seed Round to Expand Vibe AI, a 24/7 AI Incident Engineer appeared first on ITDigest.

Also Read: IBM and Pearson Forge Global AI-Powered Learning Partnership

In return, Persistent will use SASVA and its engineering expertise to build modern AI stacks that enhance the capabilities, performance and efficiency of DigitalOcean’s next-generation cloud platform for AI workloads, accelerating DigitalOcean’s AI offerings and roadmap. “As enterprises move from experimenting with AI to embedding it across their core operations, success will hinge on how effectively they scale with speed, trust and measurable impact. Our partnership with DigitalOcean exemplifies this shift, combining our AI engineering expertise and SASVA platform with DigitalOcean’s agentic cloud to help clients operationalize AI with confidence,” said Sandeep Kalra, Chief Executive Officer and Executive Director at Persistent. “DigitalOcean’s agentic cloud delivers the infrastructure, platform, and services that make AI accessible, scalable, and cost-effective. Partnering with Persistent expands these capabilities to more enterprise use cases by integrating our AI foundation with SASVA’s deterministic engineering. Together, we are accelerating the use of AI solutions at scale,” added Paddy Srinivasan, CEO of DigitalOcean.

Read More: Persistent and DigitalOcean announce strategic partnership to advance accessible, scalable and secure AI 

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As more and more development teams resort to AI assistants in order to deliver their features faster, the QA teams end up with manual investigation work. This hinders their velocity. On an average, 28 minutes per failed test has still got manual debugging work on their part.

“Developers have been coding 33% faster with AI coding assistance, but the QA teams were not leveraging any productivity gains,” commented Ritesh Arora, Co-founder and CEO of BrowserStack. “We set out to develop the Test Failure Analysis Agent because we wanted to give the QA teams their productivity gain with AI.”

Also Read: Google Expands Gemini Capabilities with Advanced Deep Research Agent and Interactions API

Unlike other forms of AI technology, the Test Failure Analysis Agent has the unique capability to incorporate end-to-end test context. While other technologies may analyze specific code examples or scripts by themselves, the Test Failure Analysis Agent works entirely within the Test Reporting & Analytics component of the BrowserStack platform to create:

Execution history and test reports

• Stack traces and system logs

• Linked Tickets & Historical Patterns w.r.t Failures

In connecting and analyzing multiple data sources, it is able to find root causes, determine types of failures, and speed up the remediation process.

Key Capabilities

• Root Cause Analysis – Cross-references data points to identify the reason for the failed test.

• Failure Categorization: Identifies whether a bug is a product bug, automation failure, or environment problem.

• Detailed Remediation Actions – Provides specific steps with rich insights and clickable links to issue-tracking tools.

The new agent is fully compatible with popular collaboration and development platforms, including Jira, GitHub, Jenkins, and GitLab, which allow insights to be easily consumed where the team is already working. The Test Failure Analysis Agent, now available in the Test Reporting & Analytics suite from BrowserStack, underlines the commitment of BrowserStack to helping businesses release top-quality software with more speed and assurance than ever before.

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