Wing is an early-stage investor and long-term company builder. We support @SnowflakeDB @Gong_io @Cohesity @humaninteresthq @Pinecone @DeepgramAI @AirOpsHQ more
Enterprise agents are moving fast. Security can't be an afterthought.
@Wing_VC portfolio company @GraySwanAI Co-Founder and Chief Scientist @zicokolter hit the Snowflake Summit 26 stage today alongside @Wing_VC Venture Partner @sunilpotti, @Snowflake's AI Research Lead @datta_cs, and Snowflake's Chief Security & Trust Office @MayankUppi to talk about what it actually takes to secure enterprise agents at scale.
#SnowflakeSummit
We raised $40M to make AI safe enough to trust. 🦢
Co-led by @WingVC and @MadronaVentures, with @Obviousvc, @Snowflake, @WeAreHRT, @SamsungNext, and @magaracvc.
More fuel to deliver on the mission: empowering the world to use AI safely and securely.
https://t.co/nHajDvWruU
“They were thinking about model security when it just didn't matter.” — @jflomenb@RashiShrivast18 at @Forbes has the exclusive on what we've been building here at @GraySwanAI and where we're headed next.
“The one thing you can rely on is that there are going to be surprises,” Matt Fredrikson says.
Read the full story: https://t.co/vAY71Qu6fc
Thrilled to share that @GraySwanAI raised $40M in Series A funding led by @Wing_VC and @MadronaVentures. Our mission is to empower the world to use AI safely and securely. We look forward pushing the frontier in AI Security!
https://t.co/3K3KpnNvlY
When Anthropic built a model powerful enough to restrict its own release, Gray Swan was named in the system card as a key external security research partner.
Today @Wing_VC is co-leading @GraySwanAI 's $40M Series A alongside @MadronaVentures .
11 frontier model system cards. ARR >10x in two quarters. And founders who built the research before there was a market for it.
Full take 👇
https://t.co/DgngMsDWIn
We're thrilled to co-lead @GraySwanAI's $40M Series A alongside @MadronaVentures!
Gray Swan is the AI security platform trusted by the labs building frontier AI. Their red-teaming benchmarks are embedded in 11 model system cards, including Anthropic, OpenAI, and Meta.
Every company deploying AI will need security infrastructure built for this new paradigm,and Gray Swan is that infrastructure.
Read more about them in @Forbes
https://t.co/yZWtagoIIG
We're proud to co-lead Human Archive's $8.2M raise alongside @nvpcap.
Human Archive is solving a problem hiding in plain sight: the internet doesn't capture how humans interact with the physical world.
They're building the dataset that does by aligning video, depth, force, and motion capture across every major physical environment.
Congrats to the team!
“So we needed our own sandbox. And that’s where we started building E2B.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, @mlejva, Co-Founder & CEO of @E2B, joins Nasdaq to outline the infrastructure gap that gave rise to E2B and what microVM architecture means for the future of AI development. Watch the full interview here: https://t.co/OJu9m0IWbb
“Dust is the product layer that is going to allow companies to take advantage of the continuous innovation that’s being provided.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, @gabhubert, Co-Founder & CEO of @DustHQ, joins Nasdaq to share the enterprise challenge that drove him and his co-founder to leave Stripe and OpenAI and build the platform enabling companies to operationalize AI at scale. Watch the full interview here: https://t.co/8ovrnKZTQZ
“How could I have an AI legal service that I could trust?”
In partnership with @Wing_VC's 2026 Enterprise Tech 30 list, @ryanjdaniels, Co-Founder & CEO of @Crosbylegal, joins Nasdaq to discuss how his background as a lawyer at early-stage startups inspired him to build AI agents that automate legal work. Watch the full interview here: https://t.co/z1TFvmKF3I
“We make it possible to connect an AI system and agent to those business systems in a secure and safe way.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, Alex Salazar, Co-Founder & CEO of @TryArcade, visits MarketSite to address one of enterprise AI's most critical unsolved challenges that led him to found Arcade. Watch the full interview here: https://t.co/ZjtZ2xSp3b
“And what we’ve done is built a platform that allows IT teams to build the automations that get people back to work.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, @jakeserval, Founder & CEO of @getserval, joins @Nasdaq to unpack the enterprise IT challenge that gave rise to Serval. Watch the full interview here: https://t.co/503bGUq9Gi
“We’re seeing a ton of demand from companies who want to own their intelligence and not rent it.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, @ypatil125, Co-Founder & CEO of @AppliedCompute, joins @Nasdaq to explore the enterprise infrastructure shift their remarkable trajectory. Watch the full interview here: https://t.co/CQqTJQlxZP
Excited to announce that @Wing_VC is investing in @DustHQ's Series B.
The enterprise agent market will define the next decade of software. @gabhubert and @spolu are second-time founders who built together through Stripe and OpenAI. Followed them closely since seed. Multiplayer-native, taste off the charts.
“So we provide an underlying layer, whether that’s for training, or inference, or sandboxes, or a wide range of other things.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, @bernhardsson, CEO of @Modal, joins @Nasdaq to discuss the limitations of legacy hyperscalers for AI workloads and the mission behind building a cloud infrastructure purpose-built for the AI era. Watch the full interview here: https://t.co/fF6SNSBbny
“It’s also extremely valuable to build a platform that’s easy to use for the everyday people.”
In partnership with @Wing_VC's 2026 Enterprise Tech 30, Bing Wu, Co-Founder & CEO of @RetellAI, visits MarketSite to discuss the technology and growth strategy behind one of AI's most striking ascents. Watch the full interview here: https://t.co/uL10LBX2RB
Wing partner @chriszeoli has been digging into something most people overlook in the AI boom.
Everyone talks about Nvidia. But the real chokepoint? Memory.
AI models are so hungry for data that the chips doing the "thinking" spend most of their time just waiting for memory to feed them fast enough. Solve that, and you unlock everything.
Three companies control that bottleneck: SK Hynix, Samsung, and Micron.
Together they're projected to make 2-3x what Meta earns in 2026. Getting a new competitor up to speed would take $30-50 billion and a decade.
Read Chris's full breakdown to understand where the real margin in AI actually lives https://t.co/ZWXR24upCL