Runlayer pulled in a $30 million Series A led by Felicis with Khosla Ventures participating, pushing the New York startup’s total raised to $42 million. The company’s platform centers on the Model Context Protocol to give enterprises identity-aware controls, runtime risk models, observability, and discovery tools for shadow AI while letting teams deploy agents behind their own VPCs and identity providers.
Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI.
Runlayer is the golden path for AI: enablement, security, and control in one platform.
So, how does it give your team the right tools for AI? 🧵
Post-seed traction includes Instacart, Gusto, Decagon, Opendoor, dbt Labs, AngelList, Lemonade, plus more than a dozen other unicorns and Fortune 500s, showing demand for governed AI agent rollout before the latest round closed.
The announcement confirms the round size and backers but leaves pricing, exact product timelines, and competitive positioning details unstated in current reporting.
Many users praised Runlayer's $30M raise from Felicis and Khosla for its enterprise AI platform because it solves key problems like agent accountability that companies face.
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Super exited about this. Now your enterprise can be transformed w AI rapidly and securely.
Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI.
Runlayer is the golden path for AI: enablement, security, and control in one platform.
So, how does it give your team the right tools for AI? 🧵
This would be an important new category
Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI.
Runlayer is the golden path for AI: enablement, security, and control in one platform.
So, how does it give your team the right tools for AI? 🧵
Likely one of the next unicorn startups IMHO
Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI.
Runlayer is the golden path for AI: enablement, security, and control in one platform.
So, how does it give your team the right tools for AI? 🧵
Thanks to @FortuneMagazine @LilyMaeLazarus for the feature!
Runlayer is actually 8 products in one: • MCP gateway • Skills & plug-ins registry • Shadow AI detection & migration • Runtime security with a kill switch • Agent identity w/ full IdP integration • Client & model-agnostic agent builder • Agent observability & self-improvement • Granular access control and policy engine
Huge thanks to everyone who has been there since day one: @jakestorm_ @asenkut @rabois @jonchu @vkhosla @dsp_ @immad @ElyKahn @jthandy @benln @ericzakariasson @travismcpeak @nikitabase @jxnlco @jamiequint @julien @lennysan @tomerlondon @khoslaventures @felicis
1. Enablement
If you ask most companies how many agents their employees are successfully running, the number is probably close to 0.
Runlayer enables agent creation, based on your company’s context, running inside your infrastructure, & auto-provisioned with only the access needed for a specific task.
Here’s our Runlayer onboarding agent.
2. Security
The future is millions of agents, tools, and workflows running across every surface of the company.
This is the path to AI Native: • Discovery: shadow agents, MCPs, and skills found across web, cloud, and endpoints • Approvals: only reviewed, scanned, approved tools ever attach • Identity: every agent action traces back to a real, managed identity • Authorization: least privilege, scoped per tool, default deny • Runtime: high-risk actions intercepted, scanned in real time for intent drift, with an instant kill switch • Observability: tamper-evident receipts for every call, streamed to your SIEM • Governance: static and dynamic policies, agent IAM, one control plane
Runlayer does all of it.
Check out http://runlayer.com to learn more
Every company I talk to is fighting some version of the same problem: • How do we say yes to agents instead of no? • How do we connect them to our real tools, data, and context? • How do we get visibility and control everywhere an agent touches?
Runlayer solves this.
3. Control
Once agents are built, how do you make sure they are running in the most performant way possible? Multiple variables go into agent effectiveness: model choice, prompt clarity, tool use, and triggers.
Runlayer manages all of this for you. Every Runlayer instance comes with an agent optimizer which automatically scans the session traces of your agents and fixes issues for you.
These are just some of the features that Runlayer handles and what we power for customers like Instacart, Gusto, Decagon, Opendoor, dbt Labs, AngelList, Lemonade, and a number of Fortune 500s.
@berman66 A game changer product for us at Gusto. Congratulations 👏👏👏
@berman66 huge congrats!
Agents should not be logging into company tools like a random employee with a password.
Runlayer is saying agents need their own identity, scoped permissions, approved app connections, audit trails & a kill switch, i.e. a complete managed infrastructure.
Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI.
Runlayer is the golden path for AI: enablement, security, and control in one platform.
So, how does it give your team the right tools for AI? 🧵
@berman66 congrats Andy and team!
@berman66 And it’s only the beginning 🫡
@berman66 Incredible! Has been fun watching you guys move so fast
@berman66 enterprise agents need a secure control layer before they can do real work.
@berman66 Nice! Congratulations
