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Levo.ai provides a unified platform for runtime AI security and API security, offering comprehensive protection for modern software architectures. The company's technology delivers passive detection and in-line protection across APIs, AI agents, and AI applications, encompassing capabilities like threat detection, attack protection, and robust monitoring. This platform integrates security directly into the Software Development Life Cycle (SDLC), ensuring continuous and contextual safeguarding.
Buchi Reddy B. founded Levo in 2021, driven by a crucial insight from his prior experience at AppDynamics and Traceable. He recognized that traditional security approaches often lagged behind rapid software development, leading to vulnerabilities like undocumented APIs and configuration risks being discovered too late. Reddy's conviction centered on the necessity of architecting security proactively within the SDLC, rather than retrospectively applying it as an afterthought.
The platform serves organizations across various industries, including financial services, healthcare, and retail, catering to engineering, security, and compliance leaders. Levo's mission is to transform security from a limiting factor into an enabler of innovation, ensuring that development velocity and robust protection can coexist. The company envisions a future where security is intrinsically woven into the fabric of software creation, perpetually staying ahead of evolving threats.
Levo.ai has raised $4.0M across 1 funding round.
Levo.ai has raised $4.0M in total across 1 funding round.
Levo.ai has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in February 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 1, 2021 | $4M Seed | — | Cota Capital, Engineering Capital, Foundation Capital, Streamlined Ventures, Think + Ventures | Announced |
Levo.ai is a technology company building a runtime security platform that secures APIs, AI agents, LLMs, and applications for enterprises. It serves fintech, retail, insurance, healthcare, and other regulated industries by solving the problem of securing AI-native and API-first systems without slowing innovation, providing unified visibility, threat detection, and compliance enforcement.[1][2][4][5][6][7] The platform discovers hidden assets, tests for vulnerabilities like prompt injection, monitors runtime behavior, and enables fast remediation, helping companies scale AI safely while avoiding incidents, fines, and bloated teams.[2][3]
Levo.ai demonstrates strong growth momentum: it completed its core runtime platform in 2023, launched go-to-market efforts with real customer validation, and saw multiple-fold increases in product usage and renewals by 2024 as it expanded across production environments.[1]
Levo.ai was founded by Buchi, a former Cisco Engineering Director, driven by frustration with traditional security's failure to integrate proactively into software development lifecycles (SDLC).[1][3] He envisioned security as continuous and contextual—architected inside the SDLC rather than bolted on afterward—to ensure growth and security aren't trade-offs, starting with API security as the first stride.[1][3]
The idea emerged from industry gaps in scalable, automated "shift-left" practices that prevent exploit-prone code from reaching production.[1] By 2023, Levo completed its runtime security platform core, focusing on discovery, visibility, and protection for API-driven systems, followed by production-ready go-to-market in customer environments.[1] Pivotal early traction came in 2024 with customer renewals and surging adoption, validating its technology and paving the way to unify API and AI Security Posture Management using runtime DNA like kernel-level visibility and dynamic testing.[1]
Levo.ai stands out in API and AI security through these key strengths:
Unlike legacy tools that isolate APIs or ignore AI behaviors, Levo stitches them into a governed runtime graph.[2][4]
Levo.ai rides the explosive growth of AI-native applications and API-first architectures, where traditional static/edge security fails against dynamic threats like agent misuse, LLM drift, and shadow AI.[1][2][5] Timing is ideal amid 2024-2025 regulatory pressures (e.g., PCI-DSS, GDPR, HIPAA, emerging AI rules) and enterprise AI scaling in high-stakes sectors like fintech fraud detection, retail personalization, insurance underwriting, and healthcare PHI protection.[4][5][6][7]
Market forces favoring Levo include rising AI incidents, compliance fines, and the need for "shift-left" security in SDLCs, enabling safe innovation without team bloat.[1][3] It influences the ecosystem by pioneering unified API-AI security, surfacing shadow AI, and providing explainable governance—reducing blind spots and accelerating secure AI adoption across industries.[1][2][5]
Levo.ai is positioned to dominate runtime security for AI meshes, expanding from API stronghold into full AI posture management with features like capability mapping and cost controls.[1][2][7] Next steps likely include deeper penetration in regulated verticals, new integrations for MCP orchestration, and global compliance expansions as AI regulations tighten.
Shaping trends—agent proliferation, recursive AI workflows, and zero-trust mandates—will amplify demand for Levo's passive, high-fidelity observability.[2][4] Its influence may evolve into an industry standard for secure AI scaling, proving security can lead innovation, much like its founding vision to re-architect SDLCs for a world where growth never trades off safety.[1]
Levo.ai has raised $4.0M in total across 1 funding round.
Levo.ai's investors include Cota Capital, Engineering Capital, Foundation Capital, Streamlined Ventures, Think + Ventures.
