INVA-AI-HERALD LATEST AI NEWS
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Daily AI News • AI Tools • AI Prompts
📰 AI NEWS
1. 🤖 NVIDIA Brings AI Agents Into Robotics Development
📰 WHAT HAPPENED !!
NVIDIA released Isaac ROS 5.0 at ROSCon in Toronto, adding agentic AI workflows to its open robotics software stack. The release supports the latest ROS platform, expands GPU-accelerated robotics packages and gives developers tools for building, customizing and deploying physical-AI applications. NVIDIA says Isaac ROS is used by a broad ROS community and is intended to help people and AI agents build robots together. The update matters because robot development is increasingly shifting from fixed software pipelines toward systems where AI can reason over tasks, call tools and assist developers across simulation, perception, navigation and deployment.
🧠 WHAT CAN IT DO?
Isaac ROS 5.0 adds agentic workflows to robotics development, helping developers automate parts of coding, simulation and deployment while using GPU acceleration for demanding perception, navigation and control workloads.
🌍 REAL-WORLD APPLICATIONS
Robotics software development
Physical-AI systems
Robot simulation
Autonomous navigation
2. 🧩 Intrinsic Open-Sources Core Robotics Infrastructure
📰 WHAT HAPPENED !!
Alphabet’s robotics software company Intrinsic announced Intrinsic Core, open-sourcing core capabilities of its industrial robotics platform at ROSCon. The software is available on GitHub under the Apache 2.0 license and provides a pre-configured environment for local hardware. Intrinsic describes it as a collection of ROS-compatible building blocks for developing more sophisticated robotic applications. The release is aimed at lowering barriers for developers who want to build intelligent robots without starting every software layer from scratch. It also shows the growing push to make physical-AI infrastructure more accessible beyond a small group of robotics companies.
🧠 WHAT CAN IT DO?
Intrinsic Core provides reusable ROS-compatible software components for intelligent robots, giving developers a local environment they can use to build, test and customize robotics applications without recreating foundational infrastructure.
🌍 REAL-WORLD APPLICATIONS
Industrial robotics
Robot application development
Physical-AI research
Local robotics deployment
3. 💰 Snorkel AI Raises $350M at a $3.5B Valuation
📰 WHAT HAPPENED !!
Snorkel AI has raised $350 million at a $3.5 billion valuation as demand grows for specialized training and evaluation data for advanced AI systems. The company began as a data-labeling software business but now sells finished datasets and reinforcement-learning environments, combining expert knowledge with AI automation. Snorkel says revenue has risen sharply as frontier-model developers and enterprises seek more complex coding, legal, medical and other domain-specific data. The new funding will support hiring, expansion into additional industries and government work, and further development of its rapidly growing agentic data platform.
🧠 WHAT CAN IT DO?
Snorkel combines human expertise with AI automation to create specialized datasets and reinforcement-learning environments. Those data products can support model training, evaluation and domain adaptation for complex enterprise and frontier-AI workloads.
🌍 REAL-WORLD APPLICATIONS
AI training data
Model evaluation
Domain-specific AI
Reinforcement learning
4. ☁️ Verda Raises €164.8M to Scale Its AI Cloud
📰 WHAT HAPPENED !!
Verda, formerly known as DataCrunch, has raised €164.8 million in fresh funding to expand its full-stack AI cloud. The Helsinki-based company said the financing values it at about $1 billion, making it Europe’s latest AI-infrastructure unicorn. Verda provides GPU cloud services aimed at developers and companies running AI workloads, and plans to use the new capital to scale capacity and infrastructure. The financing arrives as demand for AI compute continues to rise, creating opportunities for specialized cloud providers that can offer accelerator access and supporting services without requiring customers to build entire data centers themselves.
🧠 WHAT CAN IT DO?
Verda provides GPU cloud infrastructure for AI workloads, giving developers and enterprises access to accelerator computing without building their own data-center hardware stack and supporting large-scale model training and inference.
🌍 REAL-WORLD APPLICATIONS
AI cloud computing
Model training
AI inference
GPU infrastructure
5. 🧑💼 Spott Raises €18.3M for Recruitment AI
📰 WHAT HAPPENED !!
Belgian startup Spott has raised €18.3 million in Series A funding to build an AI-native operating system for recruitment agencies. The platform combines applicant tracking and customer-relationship management functions while using AI to automate parts of the recruitment workflow. Spott is targeting agencies that need to manage candidates, clients, communication and operational processes from one system. The financing will support product development and growth as recruiting firms experiment with AI for sourcing, screening, coordination and administrative work. Its model reflects the broader movement toward vertical AI software built specifically around the data and workflows of one profession.
🧠 WHAT CAN IT DO?
Spott combines recruitment CRM and applicant-tracking workflows with AI automation. Its platform is designed to help agencies manage candidate pipelines, client relationships and repetitive coordination tasks from a single system.
🌍 REAL-WORLD APPLICATIONS
Candidate management
Recruitment automation
Applicant screening
Agency workflows
6. 🔐 Aembit Extends Enterprise Identity Controls to AI Agents
📰 WHAT HAPPENED !!
Aembit announced support for Okta’s Cross App Access protocol, extending enterprise identity controls to AI agents. The system is designed to let a user’s existing enterprise identity authorize an agent to access approved downstream applications without requiring a separate consent step for every connection. Aembit adds verified agent identity, policy enforcement and auditing so security teams can centrally control which agents may act, on whose behalf and under what rules. The launch addresses a practical problem created by agentic AI: one agent can cross multiple services during a task, multiplying the number of access relationships an organization must govern.
🧠 WHAT CAN IT DO?
Aembit connects enterprise identity policies with agent identities, allowing security teams to authorize, audit and centrally control agent access across approved applications while reducing repeated authorization steps for users.
🌍 REAL-WORLD APPLICATIONS
Agent identity management
Enterprise access control
AI security
Automated authorization
7. 🛡️ meshIQ Launches Real-Time Governance for AI Agents
📰 WHAT HAPPENED !!
meshIQ has launched AgentIQ, a governance platform designed to give enterprises real-time visibility and control over autonomous AI agents while they are executing work. Rather than reviewing activity after a task finishes, AgentIQ operates inside the execution flow so organizations can monitor actions, enforce policies and intervene when necessary. The company is targeting highly regulated environments where agents may interact with data, applications, models and other agents without direct human involvement. The launch reflects a wider enterprise shift toward runtime governance, where organizations want AI automation but also need continuous control over what autonomous systems are allowed to do.
🧠 WHAT CAN IT DO?
AgentIQ monitors autonomous agents during execution, allowing organizations to observe actions, apply policies and intervene while work is happening. This creates a runtime control layer for regulated enterprise deployments.
🌍 REAL-WORLD APPLICATIONS
AI-agent governance
Compliance monitoring
Runtime security
Enterprise automation
8. 🏦 Creatio Commits $300M to Bank.AI
📰 WHAT HAPPENED !!
Creatio announced a $300 million investment from 2026 through 2028 to accelerate its Bank.AI platform for financial institutions. The company plans to expand AI agents across banking growth, service and operations workflows, while also investing in AI Studio, governance, integrations, security and enterprise observability. Creatio said its financial-services business has been growing quickly and that banks are increasingly looking for practical ways to deploy agentic AI. The investment is aimed at building a broader banking-specific AI ecosystem rather than a single assistant, covering customer acquisition, service operations, compliance and other recurring financial workflows.
🧠 WHAT CAN IT DO?
Bank.AI combines banking-specific AI agents with CRM and workflow tools for growth, service and operations. Creatio also plans stronger governance, security and observability for financial institutions deploying agents at scale.
🌍 REAL-WORLD APPLICATIONS
Banking agents
Customer service
Compliance workflows
Financial operations
🔥TRENDING AI NEWS
9. 🇦🇺 OpenAI and Anthropic Challenge Australia’s AI Training Rules
OpenAI and Anthropic are asking Australia to reconsider its current rules around using copyrighted material to train AI models. The companies argue that a limited exception could protect creators while allowing AI research and investment to continue, putting the focus on how copyright law should handle machine learning. Australia is reviewing its policy as governments worldwide try to balance creators’ rights, innovation and economic opportunity. The development adds another major policy front for frontier AI companies as access to high-quality training material becomes increasingly important.
10. 🏛️ Google Expands AI-Powered Civic Feedback Tools
Google.org and Jigsaw are expanding Sensemaking AI to more local governments through a new partner program designed to help officials analyze large amounts of community feedback. The open-source tools can surface themes and priorities from civic conversations, helping municipalities understand residents’ needs at larger scale. Google says cities including Bowling Green, Chattanooga, Riverside and Kitchener are already using related tools. The expansion shows AI moving into public-service workflows, where systems can summarize thousands of responses and turn unstructured feedback into information officials can review.
11. 🧠 BrainTrust Launches New AI Planning Tools for Businesses
BrainTrust Partners has introduced two AI-powered products aimed at helping companies decide where artificial intelligence can create measurable business value. Its AI BluePrint Builder is designed to map potential AI opportunities and the work required to reach them, while another offering connects fragmented business data to improve execution. The launch targets a familiar enterprise problem: companies may have many AI ideas but struggle to prioritize the projects that matter most. BrainTrust is positioning its new tools around planning, implementation and measurement rather than simply adding another general-purpose chatbot.
12. 🤖 Monzo Executive Leaves to Build AI-Robotics Startup
Monzo’s European CEO Michael Carney is leaving the digital bank to launch a company focused on using AI and robotics to support people living with disabilities. Carney said his experience helping build a bank inspired him to pursue technology with a direct assistive purpose. The new venture has not yet announced a detailed product roadmap, so its technology and commercial plans remain early-stage. The announcement is notable for connecting AI and robotics with accessibility, an area where intelligent machines, adaptive interfaces and automated assistance are increasingly being explored together.
🧩 AI TOOLS
🤖 iHermes
A personal AI agent you can message through iMessage to handle work across connected apps, remember context, and turn repeat tasks into reusable workflows.
🧠 TeamBrain
An AI-native shared workspace that keeps team documents, tasks, decisions, and context connected so people and AI assistants can continue work without rebuilding the background every time.
⚙️ Swiftask
A no-code enterprise AI platform for deploying and orchestrating fleets of agents across company data and business tools, with centralized governance and multi-model support.
📱 QApilot
An AI-native mobile testing platform that autonomously explores iOS, Android, and Flutter apps, generates test coverage, detects bugs, and helps maintain tests as apps change.
🔌 Cortex
An open-source developer tool that turns API specifications into interactive documentation, typed SDKs, and MCP servers so APIs can be consumed more easily by developers and AI agents.
🧑💼 Amy by Jellyfish
An AI recruiting sourcer that searches the web for potential candidates, evaluates evidence of their fit, personalizes outreach, follows up, and sends qualified prospects to recruiters.
💻 Trama
Create native macOS automations by describing repetitive tasks in plain language, with AI handling actions across apps and desktop workflows.
🖼️ OldPics
Restore damaged or faded photographs with AI, including scratch and tear removal and optional colorization of black-and-white pictures.
🎬 ZXN Studio
A Mac video workspace combining screen recording, editing, motion effects, and local AI features such as background removal and transcription.
📈 Stynar
An autonomous outbound-sales agent that researches prospects, writes personalized emails, manages replies, follows up, and books meetings from one workflow.
🧠 AI PROMPT OF THE DAY
Turn a Screenshot Into a Step-by-Step Action Plan
Important Note: You’ll need to use the prompt below to get the complete result.
What This Prompt Does
Screenshots often contain useful information—an error message, assignment, event details, shopping list, instructions, or a complicated task—but figuring out what to do next takes time. This prompt turns the information visible in a screenshot into a clear action plan, while separating what is known from what still needs clarification.
📋 The Prompt
Act as my visual information assistant.
I will provide a screenshot or image containing information I need to understand or act on.
MY GOAL:
[What I want to accomplish with this information]
Look at the image and help me turn it into an actionable plan.
Do the following:
1. EXTRACT
List the important information visible in the image.
2. UNDERSTAND
Explain what the information means in simple language.
3. ACTION PLAN
Turn it into a numbered list of the most useful next steps, in the correct order.
4. IMPORTANT DETAILS
Highlight dates, times, amounts, deadlines, requirements, or warnings that are clearly visible.
5. MISSING INFORMATION
List anything necessary for completing the task that cannot be determined from the image.
RULES:
- Use only information that is actually visible in the image.
- Do not guess unclear text, dates, numbers, or instructions.
- If something is unreadable, mark it as [UNCLEAR].
- Do not invent missing details.
- Keep the action plan practical and concise.
- Separate visible facts from your interpretation.
Finish with:
NEXT ACTION: [the single clearest action I should take first]🧪 Try It With
Upload a screenshot of an assignment or event announcement and set the goal to: “Tell me exactly what I need to do and when I need to finish it.”
🎯 What You’ll Get
A messy screenshot becomes a structured summary + important details + ordered action plan, with unclear or missing information clearly flagged instead of guessed.
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