AIM Media House

Canva has launched its Creative Operating System, combining a refreshed Visual Suite, new AI design tools, and marketing features. The update includes Video 2.0, Canva Forms, Sheets and Code integration, and a new Email Design tool. At its core is the Canva Design Model, an AI system that generates editable layouts and is now available on ChatGPT, Claude and Gemini. New features include AI-Powered Designs for instant templates, AI-Powered Elements for visuals and 3D assets, and Ask Canva as a built-in creative assistant. The update introduces Canva Grow, a marketing engine connecting content creation, publishing, and analytics. A revamped Brand System helps teams maintain consistency across projects. Affinity, Canva's professional design suite and Adobe Photoshop competitor, is now free for everyone and integrated into the platform. This positions Canva as a complete creative ecosystem combining design, marketing, and AI.

New York startup Bevel has raised $10 million in Series A funding from General Catalyst for its AI health companion. The app unifies data from existing wearables and daily habits across sleep, fitness, and nutrition into personalized insights. Unlike hardware-dependent competitors like Whoop or Oura, Bevel costs just $6 monthly or $50 annually. The two-year-old company has grown eightfold in the past year to over 100,000 daily active users. Users open the app eight times daily on average, with 80% retention at 90 days. CEO Grey Nguyen says Bevel's Intelligence software adapts recommendations based on how each body responds to stress, movement, and nutrition. Nguyen founded Bevel after struggling with undiagnosed chronic back pain caused by compounded lifestyle factors. Co-founder Aditya Agarwal, former Dropbox CTO, joined after his own health challenges. The company plans to expand its team and partnerships while staying software-only to democratize proactive health management.

San Jose-based Archy has secured $20 million in Series B funding led by TCV. Founded in 2021 by former Meta and Uber product leader Jonathan Rat, the startup replaces outdated dental software with a unified cloud-native AI platform. Most dental practices rely on 20-40 year old systems causing 80 hours of redundant administrative work monthly. The platform features AI agents that automate insurance verification, billing, clinical charting, and patient communications. The company processes over $100 million annually in payments with 300% year-over-year growth. One practice saved over $50,000 in year one after switching from legacy systems. Rat built Archy after watching his dentist wife struggle with broken legacy software. Joined by CTO Ben Kolin from Uber, VMware, and Yahoo, the team focuses on AI-first innovation for dentistry. The funding will accelerate hiring as Archy expands capabilities including advanced dental imaging analysis.

Cursor has launched version 2.0, allowing developers to run up to eight coding agents simultaneously in isolated environments. The update introduces Composer, Cursor's first proprietary AI model for low-latency coding. The IDE now organizes around agents instead of files with enhanced collaboration tools. Composer is a mixture-of-experts model trained through reinforcement learning, claiming 4x faster performance than similar models with sub-30-second task completion. It was trained in real-world environments and scaled across thousands of NVIDIA GPUs. The model optimizes speed by minimizing redundant responses and parallelizing tool use. Cursor 2.0 adds enterprise features including sandboxed terminals, administrative controls, and voice command support. While models like GPT-5 and Sonnet 4.5 outperform it on some benchmarks, Cursor claims Composer offers the fastest interactive coding experience. The interface now supports shareable team commands and improved prompt management. Michael T.

Amazon Web Services (AWS) Services posted $33 billion in Q3 revenue, up 20% year-over-year and its fastest growth in 11 quarters. CEO Andy Jassy credited the surge to enterprises adopting AWS for AI workloads. The company's Transform tool has saved 700,000 hours of manual effort since launching in May 2025. Thomson Reuters used it to transform 1.5 million lines of code monthly, completing migrations far faster than traditional methods. AWS's AI tools are seeing explosive adoption across enterprises. Amazon's Kiro coding assistant doubled its user base beyond the initial 100,000 signups. The AgentCore platform has been downloaded over 1 million times and is helping companies like Cohere Health cut medical review times by 30-40%. Amazon added 3.8 gigawatts of power capacity in the past year, doubling its 2022 infrastructure. The company's Trainium2 AI chips grew 150% quarter-over-quarter and are now a multibillion-dollar business. Project Rainier, Amazon's massive AI compute cluster, will scale from 500,000 to over 1 million Trainium2 chips by year-end to power Anthropic's next-generation models.

Chip giant NVIDIA is planning to invest between $500 million and $1 billion in Poolside, an AI software development startup, Bloomberg reports. The investment would be part of Poolside's $2 billion funding round at a $12 billion valuation. Nvidia's stake could reach $1 billion if the round closes successfully. This marks Nvidia's second investment in Poolside, following its participation in the company's $500 million Series B in October 2024. Poolside builds AI models specifically designed for software development tasks. The startup has quickly attracted significant capital as demand for AI coding tools continues to surge. Nvidia has been aggressively expanding its investment portfolio across AI sectors beyond semiconductors. Recent moves include exploring a $500 million investment in U.K. self-driving company Wayve and taking a $5 billion stake in Intel for future chip collaboration. The company has become one of the most prolific investors in AI startups.

AIM Research’s Global DBMS Industry Pulse: Q3 CY 2025 provides a focused analysis of the evolving database market amid AI, automation, and real-time intelligence. As organizations modernize their data infrastructure, DBMS platforms are integrating agentic AI, adopting serverless and multi-cloud architectures, and unifying transactional and analytical workloads, moving from traditional storage systems to intelligent, self-optimizing platforms. The report highlights 12 key trends, including graph and vector convergence, AI-driven data governance, cyber-resilient architectures, open-source growth, and edge-first database innovation. It also covers strategic vendor moves from Oracle, Google Cloud, SAP, MongoDB, Snowflake, Neo4j, Databricks, and more, underscoring the rise of databases as the intelligent core of AI-driven enterprise transformation. Read the full report. Link in comments. Qlik | Informatica | Franz Inc. | Weaviate | MariaDB | RavenDB |Teradata | CockroachDB | NebulaGraph, powered by Vesoft | TigerGraph Inc. Graphwise | Aerospike | Commvault | Yugabyte | pgEdge | DocumentDB | Valkey | Qdrant | Domo | Rubrik | Pure Storage | Zilliz

YouTube is restructuring around artificial intelligence and offering U.S. employees voluntary exit packages with severance. CEO Neal Mohan announced the move as part of an AI-focused reorganization that groups teams into three product divisions. The company says the changes will streamline operations and accelerate AI innovation—but they also hint at a shift in how tech giants balance automation and human roles.

When a Caterpillar Inc. excavator appeared in the NVIDIA GTC keynote, the moment caught the attention of Ahmed Shubber, founder of Lumina, which builds autonomous construction equipment. Shubber wasn’t impressed. But he did call out his competitors: “Others should be more concerned... We own our entire hardware stack. The rest rely on OEMs that will eventually lock them out.” He’s right about the shift. Big equipment makers like Caterpillar and John Deere are now building their own AI systems, buying autonomy software, and running self-driving machines. For software-only startups that rely on someone else’s machines, the runway is shrinking. The real leverage in autonomy now lies with those who control both code and hardware. ahmed shubber

Seattle-based TestSprite, led by CEO Yunhao Jiao has raised $6.7 million in seed funding led by Trilogy Equity Partners, with support from Techstars, Hat-Trick Capital, Jinqiu Capital, MiraclePlus, Baidu Ventures, and EdgeCase Capital Partners. The company builds an autonomous testing agent that validates AI-generated code: reading intent, generating tests, diagnosing failures, and proposing fixes through the Model Context Protocol. Jiao, a former AWS engineer with a background in natural language processing at Yale, said the goal is to “make testing completely hands-off so devs can focus on what matters most.” TestSprite now counts 35,000 developers using its platform and aims to become what the founders call the testing backbone of AI-native development.