Redpoint nag-retweet
Redpoint
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Redpoint
@Redpoint
Seed. Early. Growth. We invest across consumer and enterprise and have partnered with thousands of inspiring entrepreneurs over the past two decades.
Menlo Park, CA Sumali Ocak 2010
981 Sinusundan58.8K Mga Tagasunod
Yesterday, @WeAreLegora announced their $550M Series D.
Since October 2024, Legora's revenue has doubled every quarter. As they scale, what continues to impress us is how @MaxJunestrand and the team maintain deep trust with customers while constantly pushing boundaries.
"When you're invited into the tent, we are going to be very honest: this is working, this is not working. This is what we want to do. This is what we want your permission to do."
That combination of transparency and experimentation is rare, and it's a big part of why we're proud to be on this journey with them. Congratulations to the entire Legora team.
Listen here:
YouTube: lnkd.in/eeaYf5XZ
Spotify: bit.ly/3Nc53za
Apple: bit.ly/40ufr8m
Jacob Effron@jacobeffron
Legora sets the bar for operating at AI speed. Watching them become one of the fastest growing software companies of all time these past few years has provided constant lessons on what’s required to win in this new world. Fresh off @WeAreLegora's $550M Series D, CEO @MaxJunestrand joined @loganbartlett and me on Unsupervised Learning to provide a masterclass on building an AI-native company. He shared some amazing lessons around - Constantly rebuilding for the bleeding edge of model capabilities - Partnering with customers for both immediate impact and long-term transformation - Running Legora differently from traditional software companies He also included some spicy takes on - Why foundation models entering legal is good for Legora - Pricing AI products - The future of the legal industry It’s impossible to listen to Max and not pick up the infectious energy that makes Legora such a special company. Check out the full episode: YouTube: youtu.be/wzRZp-1EuaE Spotify: bit.ly/3Nc53za Apple: bit.ly/40ufr8m 0:00 Intro 1:16 Legora’s Series D Story 3:24 Why You Need Low Ego to Build in AI 5:58 From 60% to 100% Accuracy in One Summer 7:04 Law Firm Economics Shift 14:09 Pricing Seats Vs Outcomes 18:31 Why Foundation Models Entering Legal Helps Legora 30:10 Convincing a 75-Year-Old Partner to Go All In 33:02 Hiring Legal Engineers 34:32 Running an AI-Native Company 35:57 The Opus 4.5 Christmas Breakthrough 40:02 Building With Customers 44:01 All In On US Expansion 51:22 Stockholm Startup DNA
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We've been fortunate enough to be a small part of the @WeAreLegora journey for the last two years.
What began as a Swedish-focused legal software company has evolved into the global platform that is used by the world's largest law firms (and increasingly in-house corporate teams) to support their AI transformation.
The company has always played the long-game (including making the decision to stop selling their product to rebuild their infrastructure for ~4 months right after we invested.. which uh I was totally chill about) and while this is just a step on the long-term journey, it's fantastic to see this milestone finally public.
I cannot express how much I learn on a daily basis from @MaxJunestrand @siggelabor about what it means to build an AI-native business and am eternally grateful for their first-principles take to business building. This is truly just the beginning for this team and company.
Congrats guys.
cc/@jacobeffron
Max Junestrand@MaxJunestrand
Big day at @WeAreLegora! We have raised $550 million at a $5.55 billion valuation in a Series D funding round, led by @Accel, to accelerate expansion across the United States. To all our customers and partners, this celebration is as much yours as it is ours.
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We are thrilled to continue our partnership with @MaxJunestrand, Sigge Labor, and the entire @WeAreLegora team. Congratulations on raising a $550 million Series D.
The legal market has long been underserved by great software, and Legora is changing that. Legora has been there every step of the way as leading firms and in-house teams move decisively from experimentation to embedding AI into their core workflows. Legora powers lawyers to review and research faster, draft smarter, and advise with precision.
Max and the team’s passion for the product is undeniable. He has built a team of lawyers who have felt the pain of legal work firsthand, and who light up when they are able to relieve it for others. That ethos shows in how they work with clients from the earliest stages of exploration through full-scale rollout.
Congratulations to the entire Legora team. It has been an honor being a part of this journey, and we couldn't be more excited for what comes next.
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$550M Series D led by @Accel. $5.55B valuation.
One year into our U.S. expansion, we’re doubling down: accelerating across America and building AI with the lawyers who use it every day.
Grateful to our customers, partners, and team.
More: legora.com/blog/series-d
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.@WeAreLegora is building a generational company as they continue moving at hyperspeed with an incredible product. They’re one of the fastest growing software companies ever and this is truly just the beginning - congrats on another amazing milestone! 🚀
Max Junestrand@MaxJunestrand
Big day at @WeAreLegora! We have raised $550 million at a $5.55 billion valuation in a Series D funding round, led by @Accel, to accelerate expansion across the United States. To all our customers and partners, this celebration is as much yours as it is ours.
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We're thrilled to be leading @jetstream_sec's $34M Seed alongside industry leaders including @George_Kurtz , @assaf_rappaport and @fkerrest. JetStream is an AI Governance company helping enterprises safely adopt AI at scale.
Enterprises are sitting on massive AI potential, but many remain stuck in pilot purgatory because they can't answer basic questions about model behavior, data lineage, and compliance. Jetstream is already helping some of the world's largest companies navigate this without governance becoming a roadblock.
Led by Raj Rajamani, former CPO of CrowdStrike and SentinelOne, the founding team is comprised of veteran security operators from SentinelOne, Dazz, Cohesity, McAfee, and Attivo Networks. Together, they built an AI blueprint that synthesizes the interdependencies and touchpoints across systems, giving enterprises the visibility and control needed to move fast.
It's rare to find a team that truly knows how to build iconic companies, at exactly the moment when enterprises most need help adopting AI safely. We couldn't be more excited for what's ahead. Congratulations to Raj Rajamani, Jared Phipps, Venu Vissamsetty, Jatheen Anand, and the entire Jetstream team!
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@scottgmorton @IndexVentures @ThriveCapital @felicis @AbstractVC 🚀 Honored to partner with this team!
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Today we announced our $150M Series B led by @IndexVentures with major participation from @Redpoint and returning investors including @ThriveCapital, @felicis, and @AbstractVC.
Across aerospace, energy, and manufacturing, engineering teams are pushing what’s possible. The software behind many of these systems hasn’t kept up. Revel gives engineering teams the infrastructure to test and control complex hardware systems with speed and confidence. In just over a year, we’ve built a world-class team, converted every pilot into a customer, and are now expanding the platform across new industries. If you believe great hardware deserves great software, we’re hiring across the board.
Read the full announcement here: nytimes.com/2026/02/26/bus…
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We had dinner with @scottgmorton and talked about SpaceX, rockets, control systems, compiler design, and why so much of the world's most critical hardware still runs on ancient software.
We ended up investing in what we believe is the future of a hardware renaissance.
Scott spent nearly a decade at SpaceX leading the control software for Falcon rockets and helping build what Starship runs on today. In that kind of environment, a software bug doesn't means far more than a bad UX.
Scott is one of a small number of people who genuinely understands real-time systems, industrial protocols, compiler design, and high-consequence operations. He's brought together a team from SpaceX, Palantir, and Anduril to do it again.
What @Revel_Software is building is a modern, deterministic platform for testing and operating complex hardware systems from benchtop R&D all the way to full industrial control. Customers are replacing years of legacy vendor sprawl in weeks. New test stand deployments that used to take months are taking days.
New space, advanced energy, defense, aerospace are all sectors that are under pressure to move faster and build more ambitiously. The control and testing infrastructure underneath them will determine whether they can. When a failure costs millions or years, software that increases speed and reliability is foundational.
Proud to partner with Scott and the team as they build it. 🚀
Full blog post: redpoint.com/content-hub/wr…
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Today we're releasing cara-3, our latest face-generation model. In an independent blind study, participants preferred Anam's interactive avatars over other providers across every metric measured. But why do we care about avatars to begin with?
x.com/BenCarr630567/…
Ben Carr@benatanam
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We're thrilled to continue our partnership with Shay Sandler, Eli Rozen, and the entire Vega team. Congratulations to the team on raising a $120 Series B!
Shay and Eli bring the technical depth and conviction needed to reshape the foundations of security operations. Together, they have enabled Vega to apply AI-native search and detections across all data sources at a fraction of the cost of a SIEM, a fundamentally new approach to SecOps.
This team’s momentum is undeniable. With their Security Analytics Mesh, analysts gain full visibility and detection coverage across all security data, wherever it lives, without the historical performance and pricing constraints.
🌼Congratulations to Shay, Eli, and the team on this milestone, and we couldn't be more excited to continue building alongside them as they transform security operations.
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.@floraai is building a visual programming language for design.
@weberwongwong and the Flora team are rethinking how creative work happens. From ideation to final execution, Flora is already transforming how teams at Nike, Lionsgate, Pentagram, and Netflix work.
Watch the full story from Weber, @alexbard, and @jordan_segall on Youtube!
youtu.be/_2lwHH7ck8w
YouTube
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@nicolasosharp We can't wait to see how this transforms workflows for teams everywhere 🚀 Congrats!!
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Redpoint nag-retweet
Today we're launching Ask Attio, and it's one of the biggest moments in our company's history.
When we founded Attio, we made a big bet that CRM needed to be rebuilt around unstructured data. Not structured fields or rigid schemas, but the messy reality of how GTM works.
Emails, calls, relationships, all the context that actually brings you the most clarity to make your decisions. We believed all of that should be inside and accessible in your CRM.
This wasn't a popular idea at the time. In fact, dozens of VCs we talked to told us we were wrong to even try. CRM was solved, so why bother?
But we kept building anyway. We spent three years building a data model and platform designed to hold the full context of how GTM teams actually operate and mold exactly to how your business works.
We call this Universal Context, and it's what makes Ask Attio possible.
Ask Attio is our new conversational AI layer that can reason over and act on everything in your CRM - emails, notes, calendars, product data, billing data, interactions, anything you've synced in.
You can understand what's happening across your entire business, search for anything, create and update records, trigger workflows and automations, all through conversation.
This is a fundamental shift in how CRM works. We used to input all our data, read everything, synthesize it, pull out what matters. Now, with Attio, your CRM does this for you at a massive scale. It pulls signal from the noise in ways that just weren't possible before, and acts on it with all that context.
Some of today's top GTM teams like @WisprFlow, @ListenLabs, @plainsupport, and @lightdash_devs are already using Ask Attio to unlock context across their entire business and act on it.
Ask Attio is live today. We can’t wait for you to try it: attio.xyz/ask_attio
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Redpoint nag-retweet
Introducing Ask Attio.
A new way to work with your CRM. Search, update, and create across your entire CRM by asking. Surface call insights, draft follow-ups automatically, and get answers fast.
Powered by Universal Context, a unified intelligence layer native to Attio.
Now live: attio.xyz/ask-now
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Redpoint nag-retweet
Being unemployed gave me some time to talk to new people and record a podcast. Its the second one I did, I think it will be last one for a while but we did talk about a few interesting things with Jacob
Jacob Effron@jacobeffron
.@MillionInt helped drive o1, o3, and Codex at OpenAI where he was VP of Research from 2019 to 2025. Then he left to pursue “types of research that are hard to do at OpenAI.” This week on Unsupervised Learning, I sat down with Jerry to discuss where AI research is headed and what he learned from seven years at the forefront of the field. - Why he left OpenAI after helping create some of its biggest breakthroughs - Why Jerry updated his AGI timeline after building reasoning models - The real limits of scaling reinforcement learning - Why Anthropic has done so well in coding - Inside OpenAI's pivotal decisions - What makes great AI researchers Timestamps: 0:00 Intro 1:26 Scaling Paradigms in AI 3:36 Challenges in Reinforcement Learning 11:48 AGI Timelines 18:36 Converging Labs and Economic Forces 25:05 Jerry's Departure from OpenAI 31:18 Pivotal Decisions in OpenAI's Journey 35:06 Balancing Research and Product Development 38:42 The Future of AI Coding 41:33 Specialization vs. Generalization in AI 48:47 Hiring and Building Research Teams 55:21 Quickfire Listen here: YouTube: youtu.be/XtPZGVpbzOE Spotify: bit.ly/4brrgTE Apple: bit.ly/4a2zjnc
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Redpoint nag-retweet
.@MillionInt helped drive o1, o3, and Codex at OpenAI where he was VP of Research from 2019 to 2025. Then he left to pursue “types of research that are hard to do at OpenAI.”
This week on Unsupervised Learning, I sat down with Jerry to discuss where AI research is headed and what he learned from seven years at the forefront of the field.
- Why he left OpenAI after helping create some of its biggest breakthroughs
- Why Jerry updated his AGI timeline after building reasoning models
- The real limits of scaling reinforcement learning
- Why Anthropic has done so well in coding
- Inside OpenAI's pivotal decisions
- What makes great AI researchers
Timestamps:
0:00 Intro
1:26 Scaling Paradigms in AI
3:36 Challenges in Reinforcement Learning
11:48 AGI Timelines
18:36 Converging Labs and Economic Forces
25:05 Jerry's Departure from OpenAI
31:18 Pivotal Decisions in OpenAI's Journey
35:06 Balancing Research and Product Development
38:42 The Future of AI Coding
41:33 Specialization vs. Generalization in AI
48:47 Hiring and Building Research Teams
55:21 Quickfire
Listen here:
YouTube: youtu.be/XtPZGVpbzOE
Spotify: bit.ly/4brrgTE
Apple: bit.ly/4a2zjnc
YouTube
English
.@weberwongwong went from investment banking to VC to working at a coffee shop in New York while studying conceptual art at NYU-ITP, where his work focused on merging AI with art.
Then he built @floraai: an AI-native creative platform now used by design teams at Nike, Lionsgate, Pentagram, and Netflix, with tons of inbound enterprise interest.
The product represents a fundamental rethink of how design works. Today, there's no programming language for creativity. Every step happens manually. Instead of starting at the pixel level and layering up, Flora lets you start with an idea, iterate through prompting across dozens of AI models, and build scalable workflows that design the creative process itself. Then you drop into precision editing only when you're ready.
Watch the video to hear the story directly from @weberwongwong, @alexbard and @jordan_segall👇
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