What are the persistent challenges in AI-assisted software engineering?

Despite AI tools accelerating coding, challenges in hosting, security, and general DevOps practices continue to persist.

What is Modelence's approach to solving infrastructure issues?

Modelence focuses on the connections between various services, offering an all-in-one framework that integrates authentication, databases, hosting, and app building tools.

How much funding did Modelence secure?

Modelence announced it raised $13 million in seed funding.

Home / Technology / Modelence Raises $13M to Solve AI App Infrastructure

Modelence Raises $13M to Solve AI App Infrastructure

28 Jan

•

Summary

AI democratizes coding but leaves hosting and security challenges.
Modelence secured $13 million in seed funding to address these issues.
The startup focuses on connections between services, not just individual ones.

Modelence Raises $13M to Solve AI App Infrastructure

The rise of AI tools has significantly lowered the barrier to software engineering, empowering a new wave of app creators. However, fundamental issues surrounding hosting, security, and general DevOps practices continue to present obstacles, even as AI accelerates the coding process.

Recognizing this gap, Modelence, a Y Combinator startup, announced on Wednesday that it successfully raised $13 million in seed funding, led by Y Combinator itself, with additional investment from Rebel Fund, Acacia Venture Capital Partners, Formosa VC, and Vocal Ventures. The company's core philosophy, as articulated by CEO Aram Shatakhtsyan, centers on addressing the connectivity challenges between various services rather than optimizing individual components.

Shatakhtsyan explained that the current system often requires developers to manually integrate disparate services from providers like Vercel and Supabase, creating opportunities for error. Modelence aims to streamline this by offering an all-in-one framework. Their toolkit, built on Typescript, integrates authentication, databases, hosting, LLM observability tools, and an app builder to minimize development friction. While the landscape for code-adjacent tools is rapidly evolving, Modelence's approach offers a promising solution for simplifying AI-driven app development.