Saksham Aggarwal
Co-Founder , Cardboard
Saksham Aggarwal is an Indian software engineer and technology entrepreneur specializing in artificial intelligence and developer infrastructure. He is recognized for founding startups that integrate autonomous agents into creative and engineering workflows, most notably Cardboard and Iterate AI. His work generally focuses on reducing the friction between human intent and technical execution through multimodal machine learning.
Aggarwal earned his degree in Computer Science from the Birla Institute of Technology and Science (BITS), Pilani. During his undergraduate years, his research and projects centered on distributed systems and the emerging applications of machine learning.
Before transitioning into full-time entrepreneurship, Aggarwal held key roles in the fintech and blockchain sectors:
PYOR (Power Your Own Research): As a founding engineer, he developed infrastructure for on-chain financial data analytics, supported by investors such as Castle Island Ventures.
Flint: He contributed to product and growth initiatives for this Sequoia-backed fintech platform.
Entrepreneurial Ventures
Aggarwal co-founded Iterate AI, a venture focused on enhancing developer productivity. The company developed AI-driven tools designed to automate repetitive coding tasks and streamline engineering workflows. The project was supported by Entrepreneur First, an international talent investor.
Cardboard
In late 2025, Aggarwal co-founded Cardboard alongside Ishan Sharma. Positioned as an "agentic video editor," the platform allows users to manipulate and produce video content through natural language instructions.
Key features of the platform include:
Browser-Based Editing: Running entirely in the cloud to facilitate collaboration.
Multimodal Integration: Using AI to analyze raw footage and generate initial drafts automatically.
Semantic Search: Enabling users to find specific moments in large volumes of footage via descriptive queries.
Cardboard was accepted into the Y Combinator Winter 2026 (W26) batch and serves a market of creators and enterprise marketing teams looking to scale video production.
Technical Focus and Research
Aggarwal is a frequent contributor to the global AI dialogue, specifically regarding the "evaluation" of generative models—ensuring that AI outputs are both accurate and useful. His technical interests include:
AI Agent Orchestration: Building systems that can perform complex, multi-step tasks autonomously.
Synthetic Data Pipelines: Using AI-generated data to train and refine more robust models.
Human-AI Interaction: Designing interfaces that make complex AI tools accessible to non-technical users.
He maintains an active presence in the developer community, sharing insights on the intersection of machine learning and startup scaling via international speaking engagements and technical writing.
