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What We Believe
a16z Enterprise is defined by respect for the entrepreneur and the entrepreneurial company-building process; we know what it’s like to be in the founder’s shoes. Our operating team provides entrepreneurs with access to expertise, insights, and a robust network of experts as part of our commitment to help our portfolio get to market and scale.
Featured Content
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RIP to RPA: The Rise of Intelligent Automation
As AI turns labor into software, the opportunity to productize external professional services has become a hot topic. However, we believe there is also substantial opportunity in productizing internal work within organizations.
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Investing in 11x New
11x frees salespeople from the nightmare of administrative work and qualification drudgery by building digital workers that autonomously complete tasks for revenue teams.
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Brian Roberts
Brian Roberts is joining Andreessen Horowitz as a General Partner, where he will work across the American Dynamism and AI Apps funds.
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Andy McCall
Andy McCall is joining Andreessen Horowitz as a General Partner. He will work across the American Dynamism and AI Apps funds.
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Investing in Pantheon
Pantheon is an AI-enabled architectural firm that can provide the same high-quality deliverables that you'd expect from a traditional firm.
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Drinking Milkshakes: How AI Wedges Will Help Startups Outmaneuver Incumbents
LLMs can now enable experiences that capture data at the point of creation in ways that were impossible for traditional software.
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The Messy Inbox Problem: Wedge Strategies in AI Apps
Every day, millions of SMBs waste countless hours synthesizing waves of unstructured information and entering data into systems of record. We call this the “messy inbox problem.”
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The Deepfake Dilemma: The Technology, Policy, and Economy
Deepfakes—AI-generated fake videos and voices—have become a widespread concern across politics, social media, and more. As they become easier to create, the threat grows. But so do the tools to detect them.
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Vertical SaaS: Now with AI Inside
In this post, we look at how AI is increasing VSaaS revenue per customer by enabling vertical SaaS companies to take on tasks previously too complex for software.
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Every White-Collar Role Will Have An AI Copilot. Then An AI Agent.
Every white-collar role will have an AI copilot. Some of these roles will be fully automated with AI agents.
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Investing in Pylon
Pylon provides a single view of customer issues, wherever they are happening — Slack, Teams, chat widget, ticket forms, or emails.
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Input Coffee, Output Code: How AI Will Turn Capital into Labor
Today, thanks to AI, we are witnessing potentially the greatest transmutation in history. Software becomes labor. It’s the new E=MC2.
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The SSN Breach: What Now?
In this episode, we cover the recent data breach of nearly 3B records, including a significant number of social security numbers. Joining us to discuss are security experts Joel de la Garza and Naftali Harris. Incredibly...
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“Death of a Salesforce”: Why AI Will Transform the Next Generation of Sales Tech
With LLMs and AI-enabled data infrastructure, common sales activities will be redefined and completely new seller workflows will emerge.
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Death, Taxes, and AI: How Generative AI Will Change Accounting
Generative AI is working its way into everything, and firms want to show they are implementing this new tech — especially those that serve the accounting market.
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Investing in Decagon
a16z is excited to invest in Decagon, an AI agent that automates customer support for a business, and to have led their seed round.
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Say Hello to My New AI Marketer: How Gen AI-Based Software Is Advancing Marketing and Sales
We see three phases in the evolution of adopting GenAI in marketing: the development of marketing copilots, the introduction of marketing agents & the rise of an autonomous marketing team.
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Owning the Workflow in B2B AI Apps
AI can own B2B workflows by converting them into a feature or capability within the product. This is the potential that we believe SynthAI yields.
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AI + a16z
The stakes are high. The opportunities are profound. From the creation of new medicines to bolstering national defense, this is our vision for the AI-enabled future.
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Jennifer Li
Jennifer Li is being promoted to General Partner at a16z. She will continue to invest broadly within the enterprise space, focusing on infra.
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Welcome to the AI + a16z podcast
The AI + a16z podcast captures our thinking on artificial intelligence across a broad swath of areas, from infrastructure to business implications.
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Investing in Tennr
Tennr understands unstructured inputs, applying AI reasoning and decision-making to perform complex end-to-end workflows.
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Investing in Ideogram
The release of the latest Ideogram.ai model is a massive step forward for image models. We're excited to lead their Series A.
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Investing in Tigris
Tigris has built a globally available S3-compatible distributed object-storage service that makes the application developer’s job as simple as possible.
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Investing in Upstash
Upstash powers caching and messaging for tens of thousands of production applications across four different products, including many AI applications.
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Investing in Doppel
Doppel is building a next-generation approach for detecting and removing fraudulent accounts and phishing attacks across various channels.
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Investing in Luma AI
Luma AI is building fast, high-quality, and deployable foundation models that let anyone create interactive 3D assets based on text prompts.
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Investing in Distributional
Distributional is building a platform for robust and repeatable testing of AI and machine learning models so teams can push to prod confidently.
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Announcing Our Latest Open Source AI Grants
a16z announces its second batch of a16z Open Source AI Grant recipients. This cohort focuses mainly on LLMs and visual AI models.
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Investing in Mistral
Mistral is at the center of the open source AI developer community. This is the most promising path to achieve robust and trusted AI systems.
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Big Ideas in Tech for 2024
Smart energy grids. Voice-first companion apps. Programmable medicines. AI tools for kids. We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in the coming year.
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Connect/Enterprise: Building Products With Generative AI
No one knows how generative AI will play out from a product perspective. The speakers at our Connect/Enterprise event shared their thoughts and experiences.
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Connect/Enterprise: Making Hard Decisions and Working Through Tough Times
The speakers at our Connect/Enterprise event share their experiences across a range of company-building topics, from product strategy to COVID-19.
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What Builders Talk About When They Talk About AI
Insights from leaders at OpenAI, Microsoft, Anthropic, Databricks, Character.AI, Roblox, insitro, and Figma on where we are, where we're going, and the open questions for building the next wave of AI.
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The Economic Case for Generative AI
To date, a handful of large companies have captured the value created by advances in AI. With generative AI, that’s changing.
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Where We Go From Here
As CTO of OpenAI, Mira Murati oversaw the development and release of GPT-4 and ChatGPT. Here she tells Martin Casado the story behind the release of ChatGPT—and what it tells us about the future of AI and human-machine interactions.
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Democratizing Design
Will AI take all the design jobs? Dylan Field, founder and CEO of Figma, looks at the relationship between designers, developers, and AI.
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AI Copilots and the Future of Knowledge Work
Microsoft CTO Kevin Scott explains how AI copilots are keeping developers longer in a flow state and why AI copilots more broadly could be the start of an industrial revolution for knowledge work.
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Supporting the Open Source AI Community
a16z announces its Open Source AI Grant program, which will support a small group of open source developers through grant funding.
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The Economic Case for Generative AI and Foundation Models
With generative AI, we’re already seeing use cases with orders-of-magnitude improvement in time, cost, and performance over previous AI waves.
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Investing in Socket
Socket monitors open source packages for the most important security issues, covering the spectrum of risk across the software supply chain.
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The Getting Started with AI Stack for JavaScript
A very simple “getting started with AI” template for those who want to play with core technologies, but not have to think too much about tooling.
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Emerging Architectures for LLM Applications
A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
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Investing in ElevenLabs
ElevenLabs is on a mission to give every program a voice through its proprietary speech synthesis, voice design, and cloning technology
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AI Canon
A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.
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The Rise of the Composable CDP
Composable customer data platforms are taking advantage of a shift in data infrastructure and embracing a “warehouse-first” architecture.
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5 Founders on the Future of Data
Highlights from the a16z Data and AI Forum, featuring founders building products across the spectrum of data and AI use cases.
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Enterprise Startups: Advice on Hiring, Firing, Scaling, and Selling
Founders and execs from Cloudflare, CrowdStrike, Databricks, Gong, and Yubico share their experiences and advice on growing enterprise startups.
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Navigating the High Cost of AI Compute
The generative AI boom is compute-bound and, as a result, a predominant factor driving the industry is simply the cost of training and inference.
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Investing in Pinecone
We’re leading a $100 million Series B round in vector database provider Pinecone, to support its vision of becoming the memory layer for AI applications.
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The Modern Transactional Stack
Transactional databases have long been the most critical component of application design. Why? Because a steadfast database is generally the ultimate enforcement point for correctness in a messy, distributed world. Witho...
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2023 State of Crypto Report: Introducing the State of Crypto Index
Our 2023 report aims to break through the noise of price movements to track the signals that matter and the progress of web3 technology.
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Vertical Operating Systems: One System of Record to Rule Them All
When computers were first built, each new application had to be programmed specifically for each chip. This was very complicated for developers and, as a result, the companies that created operating systems to simplify t...
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For B2B Generative AI Apps, Is Less More?
We’ve watched large language models (LLMs) become mainstream over the past few years and have studied the implementations in the context of B2B applications. Despite some enormous technological advances and the presence...
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Investing in Coactive
Understanding what’s in an image — one of the simplest cognitive tasks for most humans — is a stubbornly difficult problem for artificial intelligence systems to solve.
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Investing in Wingspan
The contractor payroll market is massive. Roughly one-third of U.S. workers have performed freelance work in the last year, and $1.4 trillion is paid out to contract workers annually. In many ways, contractors are the ba...
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Investing in Svix
Every so often, we meet founders with unusually strong conviction about solving systems problems. They’ve often lived through the pain of bad software, diagnosed the cause of their suffering, and made it their mission to...
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Investing in Replicate
It’s very rare to see a new building block emerge in computing. If aliens landed on earth and decompiled our software, every app would look roughly the same: some combination of networking, storage, and compute. The way...
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Investing in Macro
In recent years, we’ve seen a renaissance in productivity software. To make knowledge work seamless, internal teams have largely moved off of “hard files,” toward real-time workspaces with commenting, collaboration, and...
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Symbolic testing with Halmos: Leveraging existing tests for formal verification
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Aligning Product and GTM Teams with Better Segmentation
Product and go-to-market teams must align upfront on how to segment customers, and on which features will result in more happy customers.
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Who Owns the Generative AI Platform?
We're starting to see the very early stages of a tech stack emerge in generative artificial intelligence (AI). Hundreds of new startups are rushing into the market to develop foundation models, build AI-native apps, and...
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Investing in Aztec
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Art Isn’t Dead, It’s Just Machine-Generated
Why AI models will replace artists long before they'll replace programmers
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Hidden in Plain Sight: A Sneaky Solidity Implementation of a Sealed-Bid Auction
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Achieving Crypto Privacy and Regulatory Compliance
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Privacy-Protecting Regulatory Solutions Using Zero-Knowledge Proofs: Full Paper
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Investing in MotherDuck
Big data’s roots are in the hyperscalers. As a result, most tooling we use for analytics today has been built around a scale-out approach where performance is sacrificed for the ability to handle enormous amounts of data...
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Building Helios: Fully trustless access to Ethereum
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Investing in Equals
VisiCalc, the first computer-based spreadsheet, was launched in 1979. For the first time, this brought data analysis and computing together, in a way thousands of times more powerful than pen and paper. While VisiCalc is...
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Generalized property tests for ERC4626 vaults
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Wallet Security: The ‘Non-Custodial’ Fallacy
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On Paper to On-Chain: How Auction Theory Informs Smart Contract Implementations
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What The Merge Means
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On-chain trusted setup ceremony
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The Can’t Be Evil NFT Licenses
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Supporting Public Goods with Gitcoin Grants
Meet the Enterprise Team
We’re former founders leveraging our know-how to invest in entrepreneurs building the technology that will transform the next generation of enterprise; spanning AI, satellites, open-source, security, and more. We’re on a mission to change how the world does business.
Investment Team
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Portfolio
Any investments or portfolio companies mentioned, referred to, or described on this page are not representative of all investments in vehicles managed by a16z and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. Exits include current and former a16z portfolio companies which have been acquired as well as companies which have undergone an initial public offering or direct public offering of shares. Certain publicly traded companies on this list may still be held in Andreessen Horowitz funds. A list of investments made by funds managed by a16z is available here: https://a16z.com/investments/. Excluded from this list are investments for which the issuer has not provided permission for a16z to disclose publicly as well as unannounced investments in publicly traded digital assets. Further, the list of investments is updated monthly and as such may not reflect most recent a16z investments. Past results of Andreessen Horowitz’s investments, pooled investment vehicles, or investment strategies are not necessarily indicative of future results.