Agentic coding startup Baz Technologies Inc. said today it’s launching a new platform that sits between developers and the code bases they’re working on in order to catch software vulnerabilities before they enter production workflows. The launch came as the company clinched $9 million in extended seed funding, bringing its total amount raised so far to $17 million. The latest round was co-led by existing investors Battery Ventures and Boldstart Ventures, and saw participation from new backers including AFG Partners and Disruptive VC. But the bigger news was the launch of Baz Planner, which debuted today at the AI Engineer World’s Fair event taking place in San Francisco today. Baz Planner is a new gateway that automatically routes every new idea through dynamic loops that can instantly detect and understand the root cause of new vulnerabilities, then proactively rewrite the coding plan to eliminate them. The tool follows in the footsteps of its popular AI Code Review tool that launched last year, and currently ranks in first place on the precision-weighted Code Review Bench. With that tool, development teams can govern and secure their AI code with AI agents designed to enforce coding standards across product, design, architecture, security and...

**TL;DR:** * Baz Technologies presentó hoy Baz Planner, plataforma con cuatro agentes de IA especializados que audita el código en la etapa de planeación y bloquea vulnerabilidades antes de que lleguen a producción. * La startup extendió su ronda semilla en 9 millones de dólares —con co-inversión de Battery Ventures, Boldstart Ventures, AFG Partners y Disruptive VC— para totalizar 17 millones de dólares recaudados. * Los primeros adoptadores reportaron una reducción de más del 65% en retrabajos derivados de reversiones y correcciones urgentes posteriores a un merge. **Baz Technologies Inc.** presentó hoy **Baz Planner** , una plataforma que se interpone entre los desarrolladores y sus bases de código para detectar vulnerabilidades de software antes de que lleguen a los flujos de producción. El lanzamiento ocurrió en el **AI Engineer World's Fair** —celebrado hoy en San Francisco— y vino acompañado del anuncio de una extensión de **9 millones de dólares** a su ronda semilla, que lleva el total recaudado por la startup a **17 millones de dólares**. La ronda fue co-liderada por sus inversores ya existentes **Battery Ventures** y **Boldstart Ventures** , con la incorporación de **AFG Partners** y **Disruptive VC** como nuevos respaldos. Baz Planner captura cada nueva idea de código y la pasa por bucles dinámicos que identifican la causa raíz de posibles vulnerabilidades, reescribiendo automáticamente el plan antes de que el desarrollador —o el agente de IA— escriba una sola línea problemática. ## La apuesta: detener el daño en la fase más barata Hay una lógica dura detrás del producto. Los errores cuestan exponencialmente más de corregir una vez que el código ya está en producción o, peor, en manos de un atacante. **Guy Eisenkot** , cofundador y CEO de Baz, lo planteó sin rodeos: > "Ahí es donde los errores y las vulnerabilidades son más baratos de eliminar. Baz existe porque nuestros clientes se niegan a aceptar que el código generado por IA significa aceptar riesgos a ciegas." Baz Planner no revisa estilo ni sintaxis: analiza cómo impactará el código nuevo en tiempo de ejecución para atrapar bugs, regresiones silenciosas y fallas de seguridad antes de que alguien presione _merge_. Los primeros adoptadores ya reportaron una reducción de más del **65%** en el retrabajo derivado de reversiones y correcciones urgentes (_hotfixes_) posteriores a un merge. Photo by Fotis Fotopoulos / Unsplash ## Cuatro agentes, un solo objetivo: que no pase nada peligroso La plataforma opera con **cuatro agentes especializados** que trabajan en conjunto sobre cada nueva sugerencia de código: * **Agente de revisión de especificaciones:** valida el código nuevo contra los requisitos del producto, los diseños y el comportamiento esperado. * **Agente de seguridad avanzada:** razona a través de los límites de autorización y red, la infraestructura, los pipelines y el código de la aplicación para detectar vulnerabilidades nuevas. * **Agente SRE:** correlaciona los cambios en el repositorio con la telemetría de producción para identificar riesgos de rendimiento, confiabilidad y observabilidad. * **Agente corrector:** aplica y valida cada cambio determinado como "seguro" en un entorno de ejecución aislado, antes de que llegue a producción. El conjunto responde a los mismos cuatro principios con los que Baz concibe el código de IA: que sea **observable, explicable, predecible y reproducible**. No es accidental. El equipo fundador proviene de **Palo Alto Networks** , donde escaló la división de seguridad de aplicaciones en la nube de esa compañía hasta convertirla en referencia del sector. Baz Planner es la evolución de su herramienta de **AI Code Review** , lanzada el año pasado y que actualmente ocupa el **primer lugar en Code Review Bench** —el benchmark de precisión ponderada para herramientas de revisión de código—. Esa herramienta ya permite a los equipos que agentes de IA hagan cumplir estándares de producto, diseño, arquitectura, seguridad y confiabilidad. **Barak Schoster** , socio de Battery Ventures, planteó la apuesta en términos más amplios: > "Guy y el equipo de Baz construyeron el manual de seguridad de código a la nube en Palo Alto Networks y ahora aplican el mismo rigor al desarrollo nativo de IA. A medida que los equipos de desarrollo despliegan flotas de agentes de código, Baz se está convirtiendo en el arnés maestro que los coordina, desde el desarrollo guiado por especificaciones y la revisión de interfaz hasta la seguridad, la calidad, la confiabilidad y la planeación, para garantizar que el código generado por IA se publique de forma segura a escala." El momento del lanzamiento no es accidental. Con herramientas como GitHub Copilot, Cursor o Claude Code generando código a una velocidad que supera la capacidad humana de revisarlo con rigor, el cuello de botella de seguridad se ha vuelto crítico para cualquier equipo de ingeniería que opere con IA. La apuesta de Baz es que la solución no está en revisar más rápido, sino en intervenir antes. _Fuente:_ 1

**TL;DR:** * Baz Technologies presentó hoy Baz Planner, plataforma con cuatro agentes de IA especializados que audita el código en la etapa de planeación y bloquea vulnerabilidades antes de que lleguen a producción. * La startup extendió su ronda semilla en 9 millones de dólares —con co-inversión de Battery Ventures, Boldstart Ventures, AFG Partners y Disruptive VC— para totalizar 17 millones de dólares recaudados. * Los primeros adoptadores reportaron una reducción de más del 65% en retrabajos derivados de reversiones y correcciones urgentes posteriores a un merge. **Baz Technologies Inc.** presentó hoy **Baz Planner** , una plataforma que se interpone entre los desarrolladores y sus bases de código para detectar vulnerabilidades de software antes de que lleguen a los flujos de producción. El lanzamiento ocurrió en el **AI Engineer World's Fair** —celebrado hoy en San Francisco— y vino acompañado del anuncio de una extensión de **9 millones de dólares** a su ronda semilla, que lleva el total recaudado por la startup a **17 millones de dólares**. La ronda fue co-liderada por sus inversores ya existentes **Battery Ventures** y **Boldstart Ventures** , con la incorporación de **AFG Partners** y **Disruptive VC** como nuevos respaldos. Baz Planner captura cada nueva idea de código y la pasa por bucles dinámicos que identifican la causa raíz de posibles vulnerabilidades, reescribiendo automáticamente el plan antes de que el desarrollador —o el agente de IA— escriba una sola línea problemática. ## La apuesta: detener el daño en la fase más barata Hay una lógica dura detrás del producto. Los errores cuestan exponencialmente más de corregir una vez que el código ya está en producción o, peor, en manos de un atacante. **Guy Eisenkot** , cofundador y CEO de Baz, lo planteó sin rodeos: > "Ahí es donde los errores y las vulnerabilidades son más baratos de eliminar. Baz existe porque nuestros clientes se niegan a aceptar que el código generado por IA significa aceptar riesgos a ciegas." Baz Planner no revisa estilo ni sintaxis: analiza cómo impactará el código nuevo en tiempo de ejecución para atrapar bugs, regresiones silenciosas y fallas de seguridad antes de que alguien presione _merge_. Los primeros adoptadores ya reportaron una reducción de más del **65%** en el retrabajo derivado de reversiones y correcciones urgentes (_hotfixes_) posteriores a un merge. Photo by Fotis Fotopoulos / Unsplash ## Cuatro agentes, un solo objetivo: que no pase nada peligroso La plataforma opera con **cuatro agentes especializados** que trabajan en conjunto sobre cada nueva sugerencia de código: * **Agente de revisión de especificaciones:** valida el código nuevo contra los requisitos del producto, los diseños y el comportamiento esperado. * **Agente de seguridad avanzada:** razona a través de los límites de autorización y red, la infraestructura, los pipelines y el código de la aplicación para detectar vulnerabilidades nuevas. * **Agente SRE:** correlaciona los cambios en el repositorio con la telemetría de producción para identificar riesgos de rendimiento, confiabilidad y observabilidad. * **Agente corrector:** aplica y valida cada cambio determinado como "seguro" en un entorno de ejecución aislado, antes de que llegue a producción. El conjunto responde a los mismos cuatro principios con los que Baz concibe el código de IA: que sea **observable, explicable, predecible y reproducible**. No es accidental. El equipo fundador proviene de **Palo Alto Networks** , donde escaló la división de seguridad de aplicaciones en la nube de esa compañía hasta convertirla en referencia del sector. Baz Planner es la evolución de su herramienta de **AI Code Review** , lanzada el año pasado y que actualmente ocupa el **primer lugar en Code Review Bench** —el benchmark de precisión ponderada para herramientas de revisión de código—. Esa herramienta ya permite a los equipos que agentes de IA hagan cumplir estándares de producto, diseño, arquitectura, seguridad y confiabilidad. **Barak Schoster** , socio de Battery Ventures, planteó la apuesta en términos más amplios: > "Guy y el equipo de Baz construyeron el manual de seguridad de código a la nube en Palo Alto Networks y ahora aplican el mismo rigor al desarrollo nativo de IA. A medida que los equipos de desarrollo despliegan flotas de agentes de código, Baz se está convirtiendo en el arnés maestro que los coordina, desde el desarrollo guiado por especificaciones y la revisión de interfaz hasta la seguridad, la calidad, la confiabilidad y la planeación, para garantizar que el código generado por IA se publique de forma segura a escala." El momento del lanzamiento no es accidental. Con herramientas como GitHub Copilot, Cursor o Claude Code generando código a una velocidad que supera la capacidad humana de revisarlo con rigor, el cuello de botella de seguridad se ha vuelto crítico para cualquier equipo de ingeniería que opere con IA. La apuesta de Baz es que la solución no está en revisar más rápido, sino en intervenir antes. _Fuente:_ 1

The first check, before the crowd. Ernest Addison at Boldstart Ventures bets on enterprise infrastructure before anyone else thinks it

COO of Boldstart Ventures. 18+ years of venture capital operations. Cornell economist. Pac-Man enthusiast.

Investor at Boldstart Ventures. Building toll roads for the internet.

TEDx speaker, former Boldstart Ventures Operating Partner, and the person founders call when their org is on fire.

The company has announced its launch, backed by funding from Accel, Cyberstarts, and Boldstart Ventures.

_**New agentic platform allows companies to continuously find and close exposure gaps through coordinated use of AI agents and manual controls**_ Surf AI, the agentic operations platform for modern security teams, today announced its launch and $57 million in funding to accelerate the development of its AI-native security execution offerings. The round was led by Accel, with participation from existing investors Cyberstarts and Boldstart Ventures. The funding will support continued investment in product development, team expansion, and scaling for additional enterprise adoption. Surf AI was founded in 2024 by a team of seasoned leaders in the Israeli cybersecurity ecosystem, including Yair Grindlinger, Elad Horn, Roie Cohen Duwek, Avner Gideoni, and Brenton Gumucio. Security teams play a central role in protecting modern enterprises, yet the way security work gets done has not kept pace with the complexity of today’s environments. Risk is spread across identities, cloud infrastructure, data, and business systems, while ownership and execution are fragmented across tools and teams. Additionally, as AI accelerates the pace and complexity of attacks and shrinks response windows, companies are being asked to reduce risk continuously using operating models that were never designed for that reality. Surf AI addresses these challenges by operationalizing security programs through a single agentic platform that connects the business context and data scattered across an organization’s systems. The company’s state-of-the-art platform reads signals from identity, cloud, security, data, HR, and IT tools to build a living context graph that links assets, owners, permissions, and dependencies. It also prioritizes risk by real business impact and coordinates remediation through goal-oriented workflows, all with specialized AI agents driving execution under human oversight. Finally, context is preserved as work progresses, allowing teams to act continuously and safely without repeated handoffs or rework. “We built Surf AI to operationalize the entire security program with AI,” said Yair Grindlinger, CEO and Co-Founder of Surf AI. “Proactive security hygiene is exactly what we’re encouraging, and our platform is designed to continuously find and close the exposure gaps that teams have always known about but didn’t have the time or resources to address. Surf AI connects the context, drives the remediation, and keeps your team in control at every step.” “AI is dramatically increasing the speed and sophistication of attackers, and security teams need fundamentally new operating models to keep up,” said Philippe Botteri, Partner at Accel. “The Surf AI team is building an agentic platform to significantly enhance the productivity of security teams and make their organisation resilient to this new threat landscape.” “We backed the Surf AI team at seed as the founders have already successfully scaled a cybersecurity business to hundreds of millions in revenue,” said Gili Raanan, Founder of Cyberstarts. “With that experience at Surf AI, they are building an agentic security platform designed for a world where defenders need AI systems that can reason, adapt, and operate at an enterprise scale.” “Security leaders are under pressure to reduce risk continuously with fewer resources,” said Ed Sim, Founder and General Partner at Boldstart Ventures. “Too many enterprises are spending heavily on tools that only address problems on the surface. We backed Surf AI from inception because it flips that model with an agentic execution layer for security, turning fragmented context into coordinated action that helps CISOs reduce risk while saving time, effort, and costs.” Across early client deployments, Surf AI has helped organizations recover nearly $1 million in excess SaaS license spend, disable thousands of dormant and orphaned accounts, remediate significant certificate risks, and automate identity enforcement workflows across users at enterprise scale. “Surf AI combines advanced analytics with agentic intelligence to convert business context into action,” said Erik Hart, Chief Information Security Officer at Cushman & Wakefield. “It’s helped us operate continuously at scale, lower risk, optimize costs, and improve our security posture, producing measurable ROI in weeks and enabling teams to scale their impact with speed and confidence.” Surf AI is actively onboarding enterprise technology clients and is already working with global organizations, including Fortune 500 companies. The company is also hiring engineers and security leaders in the U.S. and Israel who are interested in building the next generation platform for security operations. **Business Wire** Business Wire is a trusted source for news organizations, journalists, investment professionals and regulatory authorities, delivering news directly into editorial systems and leading online news sources via its multi-patented NX Network. Business Wire has 18 newsrooms worldwide to meet the needs of communications professionals and news media. __

_**New agentic platform allows companies to continuously find and close exposure gaps through coordinated use of AI agents and manual controls**_ Surf AI, the agentic operations platform for modern security teams, today announced its launch and $57 million in funding to accelerate the development of its AI-native security execution offerings. The round was led by Accel, with participation from existing investors Cyberstarts and Boldstart Ventures. The funding will support continued investment in product development, team expansion, and scaling for additional enterprise adoption. Surf AI was founded in 2024 by a team of seasoned leaders in the Israeli cybersecurity ecosystem, including Yair Grindlinger, Elad Horn, Roie Cohen Duwek, Avner Gideoni, and Brenton Gumucio. Security teams play a central role in protecting modern enterprises, yet the way security work gets done has not kept pace with the complexity of today’s environments. Risk is spread across identities, cloud infrastructure, data, and business systems, while ownership and execution are fragmented across tools and teams. Additionally, as AI accelerates the pace and complexity of attacks and shrinks response windows, companies are being asked to reduce risk continuously using operating models that were never designed for that reality. Surf AI addresses these challenges by operationalizing security programs through a single agentic platform that connects the business context and data scattered across an organization’s systems. The company’s state-of-the-art platform reads signals from identity, cloud, security, data, HR, and IT tools to build a living context graph that links assets, owners, permissions, and dependencies. It also prioritizes risk by real business impact and coordinates remediation through goal-oriented workflows, all with specialized AI agents driving execution under human oversight. Finally, context is preserved as work progresses, allowing teams to act continuously and safely without repeated handoffs or rework. “We built Surf AI to operationalize the entire security program with AI,” said Yair Grindlinger, CEO and Co-Founder of Surf AI. “Proactive security hygiene is exactly what we’re encouraging, and our platform is designed to continuously find and close the exposure gaps that teams have always known about but didn’t have the time or resources to address. Surf AI connects the context, drives the remediation, and keeps your team in control at every step.” “AI is dramatically increasing the speed and sophistication of attackers, and security teams need fundamentally new operating models to keep up,” said Philippe Botteri, Partner at Accel. “The Surf AI team is building an agentic platform to significantly enhance the productivity of security teams and make their organisation resilient to this new threat landscape.” “We backed the Surf AI team at seed as the founders have already successfully scaled a cybersecurity business to hundreds of millions in revenue,” said Gili Raanan, Founder of Cyberstarts. “With that experience at Surf AI, they are building an agentic security platform designed for a world where defenders need AI systems that can reason, adapt, and operate at an enterprise scale.” “Security leaders are under pressure to reduce risk continuously with fewer resources,” said Ed Sim, Founder and General Partner at Boldstart Ventures. “Too many enterprises are spending heavily on tools that only address problems on the surface. We backed Surf AI from inception because it flips that model with an agentic execution layer for security, turning fragmented context into coordinated action that helps CISOs reduce risk while saving time, effort, and costs.” Across early client deployments, Surf AI has helped organizations recover nearly $1 million in excess SaaS license spend, disable thousands of dormant and orphaned accounts, remediate significant certificate risks, and automate identity enforcement workflows across users at enterprise scale. “Surf AI combines advanced analytics with agentic intelligence to convert business context into action,” said Erik Hart, Chief Information Security Officer at Cushman & Wakefield. “It’s helped us operate continuously at scale, lower risk, optimize costs, and improve our security posture, producing measurable ROI in weeks and enabling teams to scale their impact with speed and confidence.” Surf AI is actively onboarding enterprise technology clients and is already working with global organizations, including Fortune 500 companies. The company is also hiring engineers and security leaders in the U.S. and Israel who are interested in building the next generation platform for security operations. **Business Wire** Business Wire is a trusted source for news organizations, journalists, investment professionals and regulatory authorities, delivering news directly into editorial systems and leading online news sources via its multi-patented NX Network. Business Wire has 18 newsrooms worldwide to meet the needs of communications professionals and news media. __

The company has announced its launch, backed by funding from Accel, Cyberstarts, and Boldstart Ventures. The post Surf AI Raises $57 Million for Agentic Security Operations Platform appeared first on SecurityWeek.

Accel led the funding round, with participation from Cyberstarts and Boldstart Ventures, as the company said it is already working with global enterprises, including Fortune 500 firms.

AI SaaSセキュリティプロバイダーのRecoは火曜日、シリーズB資金調達で3,000万ドルを調達したと発表した。 今回の資金調達ラウンドはZeev Venturesが主導し、Insight Partners、Boldstart Ventures、Angular Ventures、Workday Ventures、TIAA Ventures、S Ventures、Quadrille Capitalが参加した。 この投資は、同社の前回の調達から10カ月足らずで行われ、Recoの累計調達額は8,500万ドルとなった。調達資金は、エンジニアリング、プロダクト開発、ならびに市場展開（GTM）チームでの採用を含む継続的な成長を支援する。 Recoは、業務運用におけるAI統合の要件に合わせて設計されたAI SaaSセキュリティ専用プラットフォームを提供している。そこではSaaSが、独立したユーザーとして機能し、それぞれ固有のアイデンティティ、アクセス権、接続を持つAIアプリケーションやエージェントの主要な提供手段となっている。 同プラットフォームはReco独自のAIエージェントを用いて、SaaS環境を継続的に発見・監視し、アプリ、ユーザー活動、アクセスレベル、AI関連の運用に関する即時の洞察を提供する。 Recoはセキュリティチームがアプリケーション利用状況を可視化し、システム間のデータ移動を追跡し、リスク領域を特定できるよう支援するとともに、Salesforce、ChatGPT、CopilotなどのSaaSプラットフォームとの連携もサポートする。 「企業では、AIアプリケーションであれ、既存プラットフォームに組み込まれたエージェントであれ、ビジネスシステムをつなぐAI搭載の統合であれ、AIはSaaSを通じて利用されています」と、RecoのCEO兼共同創業者であるOfer Klein氏は述べた。 「この変化が、私たちが目にしている急速な成長を後押ししています。組織は、AIを安全に、かつ大規模に導入するには、中核となるSaaSアプリケーションだけでなく、SaaSエコシステム全体にわたる可視性と制御が必要だと認識しています。これこそが、業界最大級のカバレッジと深さを持つAI SaaSアプリおよびAIエージェントで対応するためにRecoが構築された機会です」とKlein氏は付け加えた。 翻訳元:

A Silicon Valley-based company called Uare.ai this week announced that it raised $10.3 million in initial funding, led by Mayfield and Boldstart Ventures, with other investors joining in. The company’s new platform, which it hopes to launch by next month, is a new kind of artificial intelligence — “Individual AI” — that enables people to create AI-based digital versions of themselves. The company wants you to share your memories, stories, expertise, and voice. After you do that, your digital “counterpart” will be able to talk like you, make decisions like you, and, according to a provably false claim by the company, “think” like you. (AI can’t “think.” AI systems operate by processing data and patterns without understanding, self-awareness, or the adaptive reasoning capacities that define human thought.) The idea, according to company claims, is that its platform provides private models that “evolve” along with you and give you a “second brain” for, among other things, “connecting with others.” These connections come in the form of content creation, voice conversations and chat. The main technology feature of Uare.ai is something it calls the Human Life Model, or HLM. This is a proprietary system that encodes not just words but also the values, narrative, and decision-making patterns of a person. As a result, the AI built by Uare.ai doesn’t just repeat things you have already said, but says new things based on what you knowand believe. The company says that the AI will admit when it doesn’t know something. Uare.ai’s roots go back to its earlier form as Eternos, which was a platform for people to preserve their identity and memories for loved ones after death. Conceptually, they’re now doing something similar, but making one’s “deathbot” accessible to the living with the stated goals of legacy preservation, scaled mentorship, enhanced creativity, and new ways of monetizing knowledge. Another obvious application is for a company to use your digital twin to do your job, without having to pay your pesky salary. ## They built the torment nexus If the idea of a corporation providing digital twins of people sounds familiar, you’ve probably read it in dystopian science fiction. In “Neuromancer,” the 1984 cyberpunk classic by William Gibson (now being made into a 10-episode series by Apple TV+ and due in about a year), digital avatars or “constructs” exist for communicating with living friends and lovers on behalf of the person they were modeled after. In one scenario, a dead character named McCoy Pauley has a “construct” or digital twin that continues to interact with McCoy’s friends after his death. Because of a software glitch, the “construct” doesn’t know it’s a digital copy and the friends it interacts with are creeped out by it, but don’t have the heart to tell the digital twin that it’s not the “real McCoy.” The genre of dystopian sci-fi is littered with digital twin scenarios. “Permutation City,” by Greg Egan, explores the concept of consciousness uploaded to computer simulations, where AI replicas of people exist independently and interact online. “The Terminal Experiment,” by Robert J. Sawyer, depicts digital copies of a neuroscientist’s consciousness, with these AI replicas engaging in online activity and influencing events, sometimes unbeknownst to the original person. Some of Philip K. Dick’s short stories, including “Impostor” and “The Electric Ant,” explore digital or virtual impersonation and substitution. The idea of looking at the technological elements of dystopian sci-fi and thinking, “Hey, that’s a great idea! Let’s build that!” is called a “torment nexus.” The term originated from a viral 2021 tweet by writer Alex Blechman that parodied the morally oblivious creation and marketing of dystopian technologies with the phrase containing the fictional product name: “Don’t create the torment nexus.” The “torment nexus” refers to a technology depicted in science fiction as a warning or cautionary tale that is created in the real world without regard to the warning. ## The torment nexus is a popular product Before we start blaming the billionaires and the tech CEOs, we should consider our own enthusiastic embrace of torment nexus products. George Orwell’s “1984” envisioned a world where governments installed cameras everywhere to track citizens’ every move. But the public didn’t wait for Big Brother to start watching us. Instead, we bought video doorbells, security cameras, smartphones and other camera-based devices and happily post footage and images online for all to see, including governments. Other dystopian sci-fi describes a future in which authorities hyper-surveil citizens, collecting and tracking all their personal data, including location. But nowadays people volunteer their personal data, sharing the details of their lives on social media, and saying “Yes” to the harvesting of personal data from smart devices, health apps, and online services that ask to track location, biometric, and behavioral data and other information. Remember “The Truman Show”? It’s a 1998 psychological comedy-drama film directed by Peter Weir and written by Andrew Niccol. It stars Jim Carrey as Truman Burbank, an ordinary man who gradually discovers that his entire life is actually a reality TV show where the people he thinks are his friends, family, and neighbors are actually paid actors. Despite the horrifying concept behind this movie, millions of people turn their lives into reality TV shows where they are the main character on platforms like Instagram, TikTok, and YouTube. Sci-fi classics “Fahrenheit 451” and “Brave New World” depicted dystopian futures where people are dumbed down by book bans, outright force or enervation through frivolous entertainment or drugs. Today, millions are knowingly dumbing themselves down by choosing obsessive attention to an endless series of seconds-long TikTok videos instead of reading books and by letting ChatGPT write and think for them. In reality, nobody chooses to create a dystopian world. But worlds are created out of the countless everyday actions of everyone, including software CEOs. Each choice has its own logic or compulsion and feels non-contributory to the building of a cyberpunk nightmare. And so, we do it for expedience, impatience, ambition, boredom or other quotidian motivations. But all these choices add up. Who knows? Maybe millions of people will embrace the offering from Uare.ai. You might use the tool to help you with your work or become a content creator. Maybe Uare.ai will bring real benefits to your life and work. Or maybe you wake up one day and realize that, in fact, you are AI.

Uare.ai raised $10.3 million in seed funding led by Mayfield and Boldstart Ventures.

Uare.ai raised $10.3 million in seed funding led by Mayfield and Boldstart Ventures.

Uare.ai raised $10.3 million in seed funding led by Mayfield and Boldstart Ventures.