Scalekit: 10 Key Things You Must Know

Overview

Scalekit is a pioneering authentication platform tailored specifically for the burgeoning era of AI applications. Founded in 2023 by a team of ex-engineers from Freshworks, Scalekit addresses the unique identity and security challenges posed by AI agents, which differ significantly from traditional human user authentication systems. As AI agents increasingly act autonomously and on behalf of users within software ecosystems, Scalekit has developed a specialized, modular authentication stack to manage these interactions securely and efficiently. This article explores key aspects of Scalekit, from its technological innovations to its market impact and growth potential, highlighting why it is fast becoming essential infrastructure for AI-first applications.

1. Origin and Founding

Scalekit was established in 2023 by Satya Devarakonda and Ravi Madabhushi, engineers who previously built Freshworks’ in-house authentication platform that currently supports over 50,000 businesses. Recognizing that existing identity systems were inadequate for AI agents—which unlike humans, need dynamic, delegated access to execute tasks—Scalekit was born to fill this gap. Its foundation is rooted in deep experience with enterprise-scale user authentication, now reimagined for the agentic era where software agents operate autonomously and securely in complex environments.

2. The AI Agent Authentication Challenge

Traditional authentication solutions primarily focus on human user logins, which do not easily extend to AI agents acting on behalf of users or autonomously flowing data between systems. AI agents require dynamic client registration, delegated consent flows, and scoped, ephemeral token access to enforce least-privilege policies. Scalekit addresses this by providing secure, context-aware authorization tailored for agents, dramatically reducing the complexity for SaaS developers building AI-native applications.

3. Modular Auth Stack Architecture

One of Scalekit's core strengths is its modular, developer-friendly design that allows teams to adopt only the components they need, avoiding monolithic solutions. Its modules include MCP Auth for Model Context Protocol-compliant OAuth 2.1 authorization, Agent Actions enabling secure tool calling with delegated user consent, User Auth for modern login methods such as passwordless authentication, and Enterprise Auth for single sign-on and SCIM provisioning. This flexibility enables rapid integration and scaling from prototype to production.

4. Security and Compliance

Scalekit prioritizes enterprise-grade security with features such as AES-256 encryption for data at rest, TLS 1.3 in transit, and robust token vaults for per-user and per-tool token management. It is SOC 2, ISO 27001, GDPR, and CCPA compliant, supporting strict audit logging that traces every action from human users through agents to external tools. This compliance and transparency make the platform suitable for highly regulated industries where AI workflows need tight security controls.

5. The Model Context Protocol (MCP) Support

Central to Scalekit's offering is its support for the Model Context Protocol (MCP), an emerging standard that allows applications to expose data and functionality as endpoints discoverable and callable by AI agents. Scalekit's MCP Auth module implements production-ready OAuth 2.1 with dynamic client registration and consent flows designed to secure these agent interactions, helping developers avoid building complex, brittle auth code from scratch.

6. Agent Actions and Delegated Consent

Scalekit’s Agent Actions module enables AI agents to act directly on external systems like Gmail, Slack, and Notion, with encrypted token vaults and enforced user consent for each delegated action. This prevents over-provisioned access and ensures agents only have the permissions needed for specific tasks, significantly improving security and control in automated workflows.

7. Developer Experience and Adoption

Designed with a developer-first philosophy, Scalekit emphasizes strong documentation, SDK support (including Python, Node.js, Java, and Go), and easy integration with any identity provider. Startups and enterprises alike report drastically reduced development time and complexity, often going live within days rather than months. Companies such as Hubbl, Sifthub, Fello, and Aerchain already rely on Scalekit's platform to scale their agentic authentication.

8. Funding and Growth Trajectory

In 2023, Scalekit secured $5.5 million in seed funding led by Together Fund and Z47, with participation from angel investors including Adam Frankl and Jagadeesh Kunda. This round supports expanding the platform’s capabilities, scaling operations, and broadening market reach. The company is headquartered in Delaware, with operations in Bengaluru, India. Its growth is driven by the rising demand for security infrastructure in AI-powered SaaS applications.

9. Positioning in the AI and SaaS Ecosystem

Scalekit is uniquely positioned as the "auth stack for AI applications," addressing a critical gap as AI agents become first-class users in software ecosystems. Unlike legacy identity platforms, Scalekit supports both human and agent workflows seamlessly, enabling enterprises to adopt AI-driven automation without compromising security or compliance. It thus plays a key role in the emerging agentic era where human teams and AI agents collaborate closely.

10. Future Prospects and Industry Impact

As Gartner predicts that by 2028 a quarter of enterprise breaches may involve compromised AI agents, the need for specialized authentication is urgent. Scalekit’s vision to deliver scalable, secure, and modular identity infrastructure for AI agents aligns with this market evolution. With ongoing enhancements in token security, auditability, and tool integrations, Scalekit is well poised to become the foundational identity layer for the next billion agent identities, shaping the future of AI-enabled enterprise security.

Conclusion

Scalekit represents a critical innovation in the intersection of AI, software security, and identity management. By anticipating the unique needs of AI agents and providing a robust, flexible auth stack, it enables developers to secure their applications efficiently and focus on core product development. From its expert founding team and robust security features to its impressive adoption and funding progress, Scalekit is leading the evolution of authentication for the AI era. As AI agents continue to transform business workflows, platforms like Scalekit will be essential in ensuring these innovations remain secure, compliant, and scalable. The question remains: how will enterprises leverage such technologies to fully unlock the potential of autonomous, agent-driven software?