With 900+ investments and 30 years of experience, Insight Partners is a trusted partner in software. Scale up, Take off.

New York, NY
Joined March 2009
Congratulations to Stuut on announcing their $52.5M Series B led by Insight Partners! Read more: stuut.ai/blog/why-we-raised-…
Today's a big day for Stuut: we just raised a $52.5M Series B led by Insight Partners for our autonomous agent that handles the work between order and cash for the world's leading enterprises. $93M total raised, and we're just getting started. This round is all about our customers. We're building on overwhelming demand for our AI coworker that automates all of the work between order and cash for the world's leading enterprises. It's grinding, repetitive work, and Stuut takes it on so our customers can focus on the judgment calls. We’ve already moved over $3B for enterprises including ZoomInfo, Honeywell Technologies, and PerkinElmer, with Stuut unlocking 40% more cash flow for our customers. You'll be hearing more of their stories over the next week We're growing fast, and if you want to join a rocket ship, now's the time. Take a look at our open roles here: jobs.ashbyhq.com/stuut-ai Special thanks to Julian Marcu / Thomas Krane at @InsightPartners for believing in our vision. We're extremely grateful to @a16z, @ActivantCapital, and @M12vc Microsoft's Venture Fund, for joining. Above all else, thanks to our customers for trusting us. Their finance teams are thinking years ahead, thinking about what they'll be able to accomplish when AI owns a large part of the process. We'll be with them every step of the way. Read more below!
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Closing out #ScaleUpAI: how do enterprises move from prompt engineering to models that grow more valuable every year? 💬 “What compounds is your context, it’s your evaluations, it’s the set of things that over time evolve only for you, that are uniquely yours.” — Daniel Shimoni, Modus Featuring: Daniel Shimoni (modus), Jackson Stokes (@jackson_stokes) (@TrainLoop_AI), Michael D'Angelo (@OpenAI). Moderated by @insightpartners MD @GaneshBell That's a wrap on ScaleUp: AI for this year! Thank you to all for coming!
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The most consequential AI decisions right now aren't about technology — they're about how to organize around it. Who owns what, which roles change, how you scale without scaling headcount. #ScaleUpAI. 👇 💬 “If you're not uncomfortable, your company's not moving fast enough.” — Alex Atzberger, @Optimizely 💬 “Automate everything to replace the drudgery” — François Ajenstat (@Ajenstat), @datarockstar (Golden Analytics) 💬 “AI has to be led from the top.” — Mario Ciabarra, @quantummetric Panel moderated by Chitra Nawbatt (@chitranawbatt)
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The security panel is live at #ScaleUpAI — featuring Gregor Stewart, Chief AI Officer at @SentinelOne, Eric Fourier, Cofounder and CEO at @GitGuardian, Ron Dovich, Chief AI Officer at @brinqa, Mark Bower, Chief Strategy Officer at @AnjunaSecurity, and Vyas Sekar, Professor at @CarnegieMellon 💬 "Assume breach, consider your environment compromised, detect an attack, and react really fast.” — Eric Fourier
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Sarah Yager is the first human rights and responsible deployment lead at @OpenAI. At #ScaleUpAI on what accountability looks like as AI moves from research into production at scale — and what happens when the stakes are real. Moderated by @InsightPartners MD Hilary Gosher (@hilbil175) 💬 “When I see AI companies talking about what is good, what is moral, what does humanity mean?... We as societies have already figured out a lot of those things, and it's called universal human rights. … I do not want an AI company telling me what is good. I want my rights protected.”
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Ron Gabrisko helped scale @Databricks from under $1M to a $6.9B run rate. At #ScaleUpAI, he shared the hypergrowth playbook — and how enterprises can get a handle on AI sprawl. 💬 “The first thing is using the right models for the right task.”
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Enterprise AI investment is at an all-time high — and so is the gap between “we’re doing AI” and AI that actually runs in production. At #ScaleUpAI: the operators and platforms closing that gap. 💬 “A proof of concept should not be a science experiment to prove something that seems cool.” — Assaf Resnick, CEO, BigPanda Featuring: @raphaelouzan (@ateam_hq), @srikrishnang (@RocketlaneHQ), and Assaf Resnick (@bigpanda)
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Every enterprise has access to the same frontier models. The differentiation is what you give them to work with. At #ScaleUpAI: why the context and data layer is where enterprise AI compounds and where most deployments fall flat. 💬 “Context is data plus. It fundamentally requires a lot broader things than just one dataset. It’s not enough.” — @tasso, VP Engineering @databricks
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Context is the moat! Announced on stage that Sweep was just acquired by @ServiceNow! Another great summit by @insightpartners. @gkm1
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What could America’s AI advantage make possible for national security? At #ScaleUpAI, Gen. (ret.) Tim Haugh joined @insightpartners MD @NickSinai to discuss the opportunity to apply compute at national scale—including to cybersecurity. 💬 “We dwarf the rest of the world in compute availability. And if we start to think about that as a national advantage, what are the possibilities of what we can do to leverage that?” — Gen. (ret.) Tim Haugh, former Director, NSA & U.S. Cyber Command
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Ryan New runs technology for some of the world's most critical financial markets. In conversation with @iCapital’s @sonalibasak, New discusses what deploying AI looks like when downtime isn't an option and what the markets of tomorrow could look like. 💬 "The bad guys don't have governance rules to follow." — Ryan New, CIO, ICE and @NYSE.
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@SnorkelAI's Co-founder and CEO @ajratner on why specialized AI models can outperform on well-defined tasks—and why the future isn’t generalist or specialist. #ScaleUpAI 💬 “Last mile fine tuning is about specifying what does good look like. If you could specify a very well defined task you can tune a model that will outperform on accuracy and on cost. This is really not about better or worse, it’s really about generalist versus specialized.”
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Replying to @insightpartners
@InsightPartners MD Lonne Jaffe (@lonnej) on what's changed in the AI investment landscape this past year — where the most consequential innovation is happening, and where capital is flowing. #ScaleUpAI💬 "What we really care about as an investor… is the durability of the business, not just the historical growth.”
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Sebastian Mallaby's book The Infinity Machine argues the choices AI builders make today will define the next century. He's opening #ScaleUpAI in conversation with @InsightPartners MD Deven Parekh (@djparekh). 💬 "Power law itself is here in a bigger way than it used to be. In the whole of the tech sector, OpenAI and Anthropic have recently created probably 80% of the wealth. That has changed who the check writers are. You now have got sovereign wealth funds, growth equity players are writing checks now. Power law is still intact. Who writes the checks is different.” — Sebastian Mallaby (@scmallaby), author, The Infinity Machine & Senior Fellow, @CFR_org
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The AI Lab is open for business. Join our Onsite Advisory team in the AI Lab for a walk through using real-life use cases for the latest AI tools.
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It’s ScaleUp: AI day! Grab your badge, grab a coffee and get ready to discuss all things AI! #ScaleUpAI
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Today we're launching the industry's first FDE Advisory Council and the Forward Deployed Practice inside Insight Onsite, led by Santosh Iyer and Samma Hafeez. Learn more about why we think Forward Deployed Engineering matters for enterprise AI 👇 prnewswire.com/news-releases…
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Congratulations to @numeral on announcing their $100M Series C led by Insight Partners! Read more: businesswire.com/news/home/2…
Numeral has raised a $100M Series C, led by Insight Partners with participation from Salesforce Ventures, Benchmark, Mayfield, Uncork, Y Combinator, FCVC, and Geodesic. This brings our total funding to $157M. @numeral solves U.S. sales tax, VAT, and GST compliance for 3,500+ global businesses, trusted by companies like Supabase, Eight Sleep, and Graza. We’re building the future of tax -- where AI agents, human expertise, and global compliance come together in one system. Since starting the business in 2023, we’ve grown quickly across our core e-commerce and software segments, while expanding into new industries including manufacturing, distribution, and wholesale. There is a lot of work in front of us. Sales tax is more dynamic than ever, with states like California implementing new taxes on software and more states using AI for enforcement. We are hiring across the org from engineering to product, sales, and marketing. And we’ve just opened our new office in NYC. If you are looking for what’s next, I’d love for you to take a peek at our careers page. Excited for the year ahead. And humbled to be working with investors like @insightpartners, @rebeccaliudoyle, @SalesforceVC, @katiessschwartz, @ZKokosa, @MayfieldFund, @SPangulur, @benchmark, @chetanp, @ycombinator, @gustaf, @uncorkcap, @susanwliu, @GeodesicCap, @arvindayyala, @FundersClub, @mittal, @mantisVC, @AlexPallNY, @ShaanVP, @lennysan, @moizali, @ringmybeller, @khency6, @asturnerr, @maariabajwa and so many others.
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Congratulations to @ajratner and the @SnorkelAI team on announcing their $350M Series E co-led by Insight Partners! Read more here: snorkel.ai/press/snorkel-ai-…
I'm excited to announce @SnorkelAI's $350M Series E at $3.5B, led by @insightpartners and @S32_VC. We've grown 18x+ in the last 12 months since launching our Data-as-a-Service offering, passing $375M ARRR this week. As AI advances to superhuman capabilities, AI data & environment development must advance with it - and basic staffing and crowdsourcing approaches are not enough. AI progress now requires deep research and technology work that combines human expertise with specialized AI in compounding ways. @SnorkelAI is building the RSI data engine and frontier data lab for this next phase. We're honored to have the support of existing investors Addition, @lightspeedvp, @GreylockVC, @GVteam, P7, Factory, @WellsFargo, Walden Catalyst Ventures, and new investors @ThirdPointLLC, @MarchCPs, @BlumbergCapital, @AllegisCapital, @Frontlinevc, and @standard_vc. – @SnorkelAI started as a research project a decade ago at @StanfordAILab. Our thesis was simple: AI progress would become increasingly data-centric – and therefore data development should be studied as a true research and technology problem, not just a staffing and crowdsourcing one. Today, as AI capabilities verge on superhuman, building the data and environments to safely measure and train AI is becoming too hard for even the smartest human experts to do alone. Only humans and AI agents, collaborating together in compounding ways, can meet the accelerating needs of the frontier, and keep humans in the driver’s seat of AI progress for decades to come. At @SnorkelAI, we are building the data lab to define the shape of this new “Data 2.0” frontier, and the new paradigms of human-computer interaction needed to advance it. Our key focus is building the RSI engine for data, where specialized AI models accelerate and improve human expert output, and in turn, scaled human supervision is used to continuously evaluate and improve these models – creating a powerful compounding loop to keep pace with an accelerating RSI frontier. With this round of funding, we are also doubling down on our commitments to support data development for open benchmarking and evaluation (more news here soon!); an increasingly diverse ecosystem of general and specialized intelligence; and a path to safe, well-aligned AI built on robust training and evaluation data. Data development will guide and drive the next stages of AI – and must do so in a human-centric, AI accelerated, open, diverse, and safe way. We are excited to support this mission in the next decade of research ahead at @SnorkelAI. More thoughts here: snorkel.ai/blog/data-2-0-and…
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