General Catalyst

A global investment and transformation company.

[Ishan Mukherjee @ishanmkh]

Announcing @rox_ai just hit a $1.3B valuation, only 12 months after launch.

@generalcatalyst and @MarchCPs co-led our Series B, joined by @sequoia, @databricks Ventures, @p7ventures, Factory, and others.

We created the Revenue Agent category to help the world's most consequential enterprises grow revenue with agents.

Today, our customers have closed over $7.5 billion in revenue since partnering with Rox.

Our core is the Global 2000: dozens of large public companies across medical devices, manufacturing and financial services.

CEOs are using Rox and rolling it our across their revenue teams. We’re building AI for the real economy, not just tech.

Since launch:

- ARR up 10x
- 25x customer ROI within months
- 700%+ NRR across enterprise accounts

So what is a Revenue Agent?

It’s an AI agent that finds, wins and grows every revenue opportunity for you behind the scenes.

Soon you’ll tell Rox “Generate $50M in opportunities” and it will figure out how.

In practice:

- Fortune 500 medical devices company: Rox finds rural hospitals with new funding and preps everything reps need to win, down to the joint funding proposal. That’s $200M in pipeline and $24M closed-won in months.

- Top-3 US payroll provider: Rox reaches millions of small businesses, like your local pizza shop. Reps just show up to the meeting, and winning a customer now costs 80% less.

- Global IT services business: $300M+ in qualified pipeline in 8 weeks.

All of this is built on our elite applied AI team of ~50 researchers in SF. Nobody else has a team like it.

Gartner named us the only Visionary in the 2026 Gartner® Magic Quadrant™ for Revenue Action Orchestration.

We’re the fastest-growing company in GTM, with the highest ROI of any AI spend.

With this round, we’re doubling down on our mission:

Accelerating the world's revenue.

Learn more: https://t.co/sG9j562MZl

[Ankur Jain @ankurjain_2]

https://t.co/WvwBulECjD

[General Catalyst @generalcatalyst]

We led @mercor’s seed in 2023, and today we’re backing them for the fifth time in their $750M Series D as they help enterprises own their intelligence.

Mercor builds custom evals from human expertise, giving every business the same tools the best AI application companies use.

Congrats to @BrendanFoody, @adarsh_exe, and the whole Mercor team.

[Brendan (can/do) @BrendanFoody]

We raised our $750 million Series D at a $20 billion valuation from @benchmark, @generalcatalyst, @nvidia, @salesforce, and @zoom.

@mercor scaled from $1M to $3B in run-rate revenue in 27 months, the fastest in history to $3B.

For 2 years, we've organized human intelligence to build evals and training data for every frontier lab.

The labs are the leading indicator for AI startups, then the Fortune 500.

Our growth has accelerated over the past 6 months as enterprises start evaluating and training their own models. For many, owning their intelligence is existential.

[General Catalyst @generalcatalyst]

We’re tripling down on @Nominal_io’s $240M Series C.

Five of the seven largest defense contractors build on Nominal. At Anduril, analysis that took hours now happens in near real time, and the Air Force just selected Nominal to help develop its Collaborative Combat Aircraft.

Congrats to Cameron, Jason, Bryce and the whole Nominal team!

Revisit our conversation with CEO @CameronLMcCord.

[General Catalyst @generalcatalyst]

Navy submarine officer turned founder @CameronLMcCord:

"When you're 484 days underwater, you need to feel motivated and understand how what you're doing plays into a bigger picture. That's something I always try to do at @Nominal_io."

The bigger picture is global resilience. Nominal is the infrastructure for the teams building for the physical world.

We led Nominal's Series A and are doubling down on their $80M round led by @foundersfund at a $1B valuation.

All systems Nominal.

Watch GC's Paul Kwan in conversation with Cameron.

[General Catalyst @generalcatalyst]

Over the past few months, our team visited universities to meet students doing AI research. We left convinced that some of the most original thinking in the field is coming from undergrads.

We met students studying how models reason, building new evaluation methods, and applying AI to science and medicine. Their ideas were ambitious and their research was rigorous. And nearly all of them were held back by the same thing: compute.

The GC Research Fellowship, in partnership with @modal, gives 20 exceptional undergraduates up to $25,000 each in compute to pursue their biggest questions.

Applications are open: https://t.co/ubaUBNpVZN

[General Catalyst @generalcatalyst]

Accounting can’t be one-shotted. One firm uses six different systems to prepare a single tax return.

@getCos co-founded @AccrualHQ to turn accounting from a cost center into a growth lever. Its AI drafts the work across tax, audit, and advisory, then shows accountants what needs a closer look.

Watch @marcbhargava in conversation with Cosmin.

Chapters
00:00 — Meet Accrual
00:26 — Breaking the School Network
02:29 — Best Friends at Stripe
06:19 — The Test for Every Startup Idea
18:54 — Why Accounting Can’t Be One-Shotted
23:20 — Earning an Industry’s Trust
27:13 — From a W-2 to a K-1
30:14 — Buying a Firm Out of Fear
33:55 — The Two-Day Work Trial
39:36 — Reaching Escape Velocity

[General Catalyst @generalcatalyst]

We're tripling down on @HypersonicaGmbH's €100M Series B.

Revisit @jcfurstenberg's conversation with CEO Philipp Kerth.

[General Catalyst @generalcatalyst]

"We can't claim our values if we can't defend them."

@HypersonicaGmbH exists because Europe needs to own its critical capabilities so no one can hold it hostage.

Watch @jcfurstenberg in conversation with Philipp Kerth.

Chapters
00:00 — “Europe Is Losing Its Best People”
03:32 — Hacking the Academic System
08:13 — The Coolest Problem in Aerospace
14:24 — Aegis 1: Nine Months to Launch
21:01 — Racing to 2029
28:14 — Stopping Wars Before They Start
34:11 — On to the Next Launch

[General Catalyst @generalcatalyst]

We’re quadrupling down on @getserval's $150M Series C.

Revisit @marcbhargava’s conversation with CEO @jakeserval.

[General Catalyst @generalcatalyst]

Before starting @getserval, @jakeserval changed one question in his customer interviews. He asked IT teams what they would hand to someone hired to sit next to them and do their work.

Almost everyone said the same thing. Building automations took longer than doing the task itself, which left them resetting passwords by hand, week after week.

Serval automates the automations for every team that supports employees.

Watch @marcbhargava in conversation with Jake.

Chapters
00:00 — Meet Serval
00:35 — Brain Scans and a First Startup
02:24 — Seven Years at Verkada
07:43 — The Question That Unlocked Serval
10:06 — Build the Hardest Thing First
13:04 — Why Startups Can Compete With the Labs
20:11 — Training Future Founders
23:01 — Perplexity to the Fortune 20
27:17 — Fixing Problems Before the Ticket
29:28 — Hiring Salespeople in the AI Era
34:24 — Chasing Product-Market Fit Forever

[General Catalyst @generalcatalyst]

Many manufacturers run on exceptions that their software can’t resolve, @fragmentdata's agents resolve them end to end.

Today, Fragment comes out of stealth with $56M in total funding. General Catalyst co-led their seed round, and are back to support their Series A. Listen to @pranavmulgund and @stopitnaveen discuss the procurement and economic impact of the iPhone in this short clip.

cc: @vedantsuri, @yuris

[General Catalyst @generalcatalyst]

The names that built American manufacturing are iconic. Slater, who brought the mill. Lowell, who integrated it. Carnegie, who scaled steel. Ford, who set the line in motion. Deming, who taught the world quality.

The forces of production that once built America are rebuilding America again. This is one of the most important economic and national security imperatives of our time.

General Catalyst has backed @ReBuildMFG since 2024, and today we are co-leading their $2.1B round alongside JPMorganChase’s Security and Resiliency Initiative.

[General Catalyst @generalcatalyst]

Before starting @getserval, @jakeserval changed one question in his customer interviews. He asked IT teams what they would hand to someone hired to sit next to them and do their work.

Almost everyone said the same thing. Building automations took longer than doing the task itself, which left them resetting passwords by hand, week after week.

Serval automates the automations for every team that supports employees.

Watch @marcbhargava in conversation with Jake.

Chapters
00:00 — Meet Serval
00:35 — Brain Scans and a First Startup
02:24 — Seven Years at Verkada
07:43 — The Question That Unlocked Serval
10:06 — Build the Hardest Thing First
13:04 — Why Startups Can Compete With the Labs
20:11 — Training Future Founders
23:01 — Perplexity to the Fortune 20
27:17 — Fixing Problems Before the Ticket
29:28 — Hiring Salespeople in the AI Era
34:24 — Chasing Product-Market Fit Forever

[General Catalyst @generalcatalyst]

We’re quadrupling down on @WeAreLegora’s $550M Series E.

More than 140,000 legal professionals now do their work in Legora, spending about an hour and a half a day in the product. Law is one of the most supply-constrained industries in the world, and Legora is giving lawyers the capacity to meet more of that demand.

Watch @jcfurstenberg in conversation with @MaxJunestrand.

Chapters
00:00 — "We Stopped Selling for Six Months"
05:10 — Breaking the Law of Jante
09:10 — Swim Faster by Looking Down
13:06 — Earning Trust at Enterprise Scale
14:49 — "It Would Almost Be Unethical"
16:26 — Agentic Law Is Already Here
17:26 — The Metric That Matters
18:47 — It Takes a Village
21:36 — A 70M-View Ad
26:56 — A Global Company With European Values
33:04 — From World of Warcraft to Team Player
36:25 — Betting on Young Talent
41:56 — A Lighthouse for Industry Transformation

[General Catalyst @generalcatalyst]

.@BabaHQ is modernizing the last mile of healthcare for people on Medicare. Each person gets a dedicated advocate: a nurse, social worker, or benefits specialist equipped with AI. They book appointments, chase down benefits, and stay by each person’s side until they get the care they need.

We’re proud to be deepening our partnership by doubling down in Baba’s $40M Series A.

Watch @vedantsuri in conversation with @_ConnorSweeney.

Chapters
00:00 — Meet Baba
02:03 — Cloning Nana’s Voice
05:19 — From Family Crisis to Company
10:58 — “They Saved My Christmas”
13:45 — Everything Is Downstream of the Team
18:05 — Building a Lifeline That Lasts
28:05 — Earning Conviction in a Week

[General Catalyst @generalcatalyst]

"We can't claim our values if we can't defend them."

@HypersonicaGmbH exists because Europe needs to own its critical capabilities so no one can hold it hostage.

Watch @jcfurstenberg in conversation with Philipp Kerth.

Chapters
00:00 — “Europe Is Losing Its Best People”
03:32 — Hacking the Academic System
08:13 — The Coolest Problem in Aerospace
14:24 — Aegis 1: Nine Months to Launch
21:01 — Racing to 2029
28:14 — Stopping Wars Before They Start
34:11 — On to the Next Launch

[General Catalyst @generalcatalyst]

We're doubling down on @modal's $750M Series D.

Revisit @max_rimpel's conversation with Modal's CEO @bernhardsson.

[General Catalyst @generalcatalyst]

"If you're not tackling hard problems, why are you creating a startup?"

@bernhardsson was told to use Kubernetes. Instead he built @modal's file system and container runtime from the ground up, tuned for the speed AI workloads demand. With Modal, containers boot in under a second, and workloads burst from zero to thousands of CPUs or GPUs in a few lines of code.

Watch @max_rimpel in conversation with Erik.

Chapters
00:00 — Learning to Code on a Mac Plus
04:38 — Building the Engine Behind Spotify’s Discover Weekly
09:17 — The Pandemic Project That Became Modal
10:14 — The 1 to 2 Year Rule for Picking Startup Problems
12:36 — Broke Until Stable Diffusion Hit
15:42 — Architecting a New Cloud for AI
17:41 — Agents Want the Same Things Developers Do

[General Catalyst @generalcatalyst]

In 1994, Peter Shor showed that a quantum computer could break modern encryption. For three decades, building one looked like it would take millions of physical qubits.

This year, the team behind @TeamOratomic proposed it could take as few as 10,000.

We're doubling down by co-leading Oratomic’s Series B, bringing their total funding to $775M. Their fault-tolerant quantum computer has the potential to unlock new scientific capabilities and applications we have yet to imagine.

Congratulations to @DolevBluvstein and the team.

Explore the future of quantum with @AlexaLiautaud: https://t.co/3dsJrlDDWh

[General Catalyst @generalcatalyst]

We started Percepta three years ago and it's been remarkable to watch the scale and ambition of the team that's come together. They're building the transformation infrastructure that our assets, like Janus and Summa, need to reinvent their industries.

[Percepta @percepta]

Last week, @htaneja joined @hirshjain at our office for a fireside chat on the state of AI and venture.

Hemant talked about the moment ChatGPT launched. It was the first time a single technology had every CEO, in every industry, in every country, grappling to figure out what to do with it.

For General Catalyst, that came with a recognition: the world was going to be transformed, and the real question was what role to play in that transformation.

The principle of "inclusive prosperity," where you empower everyone to do the transforming themselves, ties closely to Percepta's mission.

That's why we started with healthcare, government, and financial services: the categories that actually touch people's lives. And Hemant's bet, one we share, is that as software gets democratized, relationships become the advantage that's left standing.

[General Catalyst @generalcatalyst]

The models that will accelerate drug discovery, chip design, and energy are limited by the data they learn from. We led @ProximalHQ’s $15M seed as they build the data engine for the next generation of frontier AI and treat training data with the same rigor as model architecture.

Watch @quentinclark in conversation with @calvinchen.

Chapters
00:00 — Meet Proximal
03:45 — A Rainy Afternoon in South Park
05:19 — From Sneaker Bots to a First Exit
08:14 — Why Suffering Equals Growth
10:13 — The Path to Proximal
11:57 — How Models Learn
15:17 — Training Data as a Research Problem
23:24 — Building the Team in India