Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Front has surpassed $100M in ARR. This milestone shows what’s possible when support teams have the right tools and fuel a future where AI and humans work together to deliver faster, more personal customer experiences.

Front

9,405 subscribers

147,768 просмотров • 11 месяцев назад •via X (Twitter)

Наука и технологии Финансы

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

And just like that, $100M in Total Value Locked on @Base! Thank you to the community for your continued support. This milestone wouldn't have been possible without you. 🌜🔵🌛

And just like that, $100M in Total Value Locked on @Base! Thank you to the community for your continued support. This milestone wouldn't have been possible without you. 🌜🔵🌛

Moonwell

82,206 просмотров • 2 лет назад

Today, we’re announcing 14.ai, the Cursor for customer support. Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We spent the last year building and refining the AI infrastructure and integrating it into existing ticketing systems. But now it’s time to break free. 𝟭𝟰.𝗮𝗶 𝗶𝘀 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘂𝗽 𝗳𝗼𝗿 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀. Built for the way humans and AI are meant to work together, it enables a level of speed, clarity, and productivity that feels superhuman. Every day you rely on outdated tools is a day your competitors get faster, more responsive, and more in tune with their customers. Zendesk brought ticketing online in 2007. We're bringing it into the AI age. Built in 2025, for 2025. Early access now open below.

Today, we’re announcing 14.ai, the Cursor for customer support. Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We spent the last year building and refining the AI infrastructure and integrating it into existing ticketing systems. But now it’s time to break free. 𝟭𝟰.𝗮𝗶 𝗶𝘀 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘂𝗽 𝗳𝗼𝗿 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀. Built for the way humans and AI are meant to work together, it enables a level of speed, clarity, and productivity that feels superhuman. Every day you rely on outdated tools is a day your competitors get faster, more responsive, and more in tune with their customers. Zendesk brought ticketing online in 2007. We're bringing it into the AI age. Built in 2025, for 2025. Early access now open below.

Michael Fester

48,456 просмотров • 1 год назад

Say hello to our 50th A220 in our JetBlue fleet. 👋 Since its debut from Boston to Tampa back in 2021, our A220’s are more than just sleek and modern – they’re a smart investment into our future. Our A220's have helped boost fuel efficiency, adaptability and customer comfort along the way. Thanks to our partner Airbus and all the teams behind the scenes who have helped us achieve this milestone.

Say hello to our 50th A220 in our JetBlue fleet. 👋 Since its debut from Boston to Tampa back in 2021, our A220’s are more than just sleek and modern – they’re a smart investment into our future. Our A220's have helped boost fuel efficiency, adaptability and customer comfort along the way. Thanks to our partner Airbus and all the teams behind the scenes who have helped us achieve this milestone.

JetBlue

51,292 просмотров • 1 год назад

We’re excited to partner with Linos.AI to explore new frontiers in AI and Web3. This collaboration brings together Linos AI’s creative tools and OpenLedger’s decentralized infrastructure to enable more powerful, transparent, and modular AI experiences.

We’re excited to partner with Linos.AI to explore new frontiers in AI and Web3. This collaboration brings together Linos AI’s creative tools and OpenLedger’s decentralized infrastructure to enable more powerful, transparent, and modular AI experiences.

OpenLedger

23,559 просмотров • 1 год назад

Describe your business and AI will get you started with just the right design. We have lots more coming on this front. Incredibly excited about how much more accessible entrepreneurship will become due to the power of AI tools.

Describe your business and AI will get you started with just the right design. We have lots more coming on this front. Incredibly excited about how much more accessible entrepreneurship will become due to the power of AI tools.

tobi lutke

39,531 просмотров • 1 год назад

$100 million in ARR. 1,000 customers. In 18 months. This milestone puts Legora among a very small group of enterprise software companies to have scaled at this speed. Thank you to our customers, partners, and the entire Legora team who made this possible!

$100 million in ARR. 1,000 customers. In 18 months. This milestone puts Legora among a very small group of enterprise software companies to have scaled at this speed. Thank you to our customers, partners, and the entire Legora team who made this possible!

Legora

12,699 просмотров • 4 месяцев назад

In the last year, CAL FIRE crews have worked on prescribed burns of vegetation and dry brush across the state to help prevent future wildfires. Thanks to their critical work, teams surpassed their annual goal of 50,000 treated acres.

In the last year, CAL FIRE crews have worked on prescribed burns of vegetation and dry brush across the state to help prevent future wildfires. Thanks to their critical work, teams surpassed their annual goal of 50,000 treated acres.

Governor Gavin Newsom

133,561 просмотров • 1 год назад

The next phase of AI video needs infrastructure, not more tools.. This isn’t just a product update. It’s a new category. Topview 4.0 is the world’s first AI video collaboration board, built for how creators and teams actually work. One shared workspace to create, review, and iterate together without switching tools. Prompt → Image → Video → Avatar in a single flow. Real-time collaboration. All top image and video models in one place. Creator-friendly pricing, cheaper than official APIs. If AI video is part of your workflow, this is the board it belongs on. TopviewAI

Kuria | AI

12,848 просмотров • 6 месяцев назад

Welcome to #FirebaseDemoDay! 🔥 Today, we've dropped 🔟, jam-packed demos that cover everything from using AI to work smarter and ship faster, to using new Google tools like Project IDX. Take a peek at the exciting future of Firebase! →

Welcome to #FirebaseDemoDay! 🔥 Today, we've dropped 🔟, jam-packed demos that cover everything from using AI to work smarter and ship faster, to using new Google tools like Project IDX. Take a peek at the exciting future of Firebase! →

Firebase

42,530 просмотров • 2 лет назад

. Chamath Palihapitiya Congrats on the new round! Decided to figure out who is paying for your product and how you’ll reach ~$100M ARR The audience here is CIOs and CTOs at regulated enterprises: healthcare, finance, and insurance companies running legacy software estates Your customer funnel is built around a $200/user self-serve subscription. Then the product loop kicks in: the software factory starts taking workload off the team The estimated numbers I see: Conversion into Enterprise customers: ~10%. Average contract value: ~$500K/year. To reach ~$100M ARR, you’d need around 200 Enterprise customers That means the $200 subscription has to bring in ~2,000 teams to hit those numbers

. Chamath Palihapitiya Congrats on the new round! Decided to figure out who is paying for your product and how you’ll reach ~$100M ARR The audience here is CIOs and CTOs at regulated enterprises: healthcare, finance, and insurance companies running legacy software estates Your customer funnel is built around a $200/user self-serve subscription. Then the product loop kicks in: the software factory starts taking workload off the team The estimated numbers I see: Conversion into Enterprise customers: ~10%. Average contract value: ~$500K/year. To reach ~$100M ARR, you’d need around 200 Enterprise customers That means the $200 subscription has to bring in ~2,000 teams to hit those numbers

melea.ai

40,249 просмотров • 1 месяц назад

Dear friends, The main fight for freedom is happening right now on Ukraine’s front lines — and every single one of us can be part of it. Even the smallest contribution makes a real difference when we stand together 🙏 Our defenders are urgently asking for help with power stations and radios — tools that help them stay connected, operate effectively, and destroy russian invaders faster 💙💛 Please spread the word and help us deliver these vital devices as quickly as possible 🙏 #StandWithUkraine #GloryToHeroes

Dear friends, The main fight for freedom is happening right now on Ukraine’s front lines — and every single one of us can be part of it. Even the smallest contribution makes a real difference when we stand together 🙏 Our defenders are urgently asking for help with power stations and radios — tools that help them stay connected, operate effectively, and destroy russian invaders faster 💙💛 Please spread the word and help us deliver these vital devices as quickly as possible 🙏 #StandWithUkraine #GloryToHeroes

Nina 🇺🇦

41,506 просмотров • 7 месяцев назад

The Fame Monster by Lady Gaga has officially surpassed 10 BILLION streams on Spotify. It’s the 36th album in history to reach this milestone and the 13th by a female artist.

The Fame Monster by Lady Gaga has officially surpassed 10 BILLION streams on Spotify. It’s the 36th album in history to reach this milestone and the 13th by a female artist.

Ved

23,582 просмотров • 5 месяцев назад

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

280,790 просмотров • 2 месяцев назад

As AI agents become part of everyday experiences, the technology powering them matters more than ever. Working with AMD, Micron developed a benchmark that reflects real-world agentic AI workflows. The result: up to 3.8x higher AOPS and 2.9x better CPU power efficiency vs. the previous-generation platform. Why does it matter? Faster infrastructure helps AI assistants find answers across thousands of documents and deliver more responsive experiences. Learn more: #AgenticAI #AIInfrastructure #AMD

As AI agents become part of everyday experiences, the technology powering them matters more than ever. Working with AMD, Micron developed a benchmark that reflects real-world agentic AI workflows. The result: up to 3.8x higher AOPS and 2.9x better CPU power efficiency vs. the previous-generation platform. Why does it matter? Faster infrastructure helps AI assistants find answers across thousands of documents and deliver more responsive experiences. Learn more: #AgenticAI #AIInfrastructure #AMD

Micron Technology

67,069 просмотров • 23 дней назад

Is it possible to create TWO CONSISTENT CHARACTERS across different scenes with AI? Absolutely—you just need the right tools and prompts. And you’ll find everything you need in this thread 🧵👇

Is it possible to create TWO CONSISTENT CHARACTERS across different scenes with AI? Absolutely—you just need the right tools and prompts. And you’ll find everything you need in this thread 🧵👇

TechHalla

143,802 просмотров • 1 год назад

Today, we're launching the ultimate guide for founders on how to start a lean, AI-native startup in 2025. This covers every single tool founders should use when building their startup from the ground up, from legal, finance, payroll, sales, tech and more. My coauthor Deedy and I have both built Glean and Super[.]com into both $100M+ ARR businesses and we've invested in 100+ startups between us in the last few years, and this is a constant question we get. And it's completely free👇

Today, we're launching the ultimate guide for founders on how to start a lean, AI-native startup in 2025. This covers every single tool founders should use when building their startup from the ground up, from legal, finance, payroll, sales, tech and more. My coauthor Deedy and I have both built Glean and Super[.]com into both $100M+ ARR businesses and we've invested in 100+ startups between us in the last few years, and this is a constant question we get. And it's completely free👇

Henry Shi

10,228 просмотров • 1 год назад

America’s beverage companies deliver more than 275,000 good-paying jobs across the country – the kind that require only a strong work ethic. These jobs make it possible for hardworking Americans to raise a family and build a future.

America’s beverage companies deliver more than 275,000 good-paying jobs across the country – the kind that require only a strong work ethic. These jobs make it possible for hardworking Americans to raise a family and build a future.

American Beverage

2,625,090 просмотров • 5 месяцев назад

ATESH partisans paralyzed a railway hub near Yekaterinburg. Due to damage to relay equipment, train movements have been disrupted on all strategic routes. In particular, this hub was used to deliver ammunition, armored vehicles, fuel, and personnel to the front, as well as to factories and depots in the north and east.

ATESH partisans paralyzed a railway hub near Yekaterinburg. Due to damage to relay equipment, train movements have been disrupted on all strategic routes. In particular, this hub was used to deliver ammunition, armored vehicles, fuel, and personnel to the front, as well as to factories and depots in the north and east.

WarTranslated

29,155 просмотров • 11 месяцев назад