ByteAsk, an AI coding startup focused on C and C++ developers, has raised $1 million in a pre-seed funding round. The investment was led by Y Combinator, with participation from Entrepreneur First and angel investors from global quantitative trading firms. The company is building AI coding agents for high-stakes sectors such as defence, aerospace, robotics, high-frequency trading, automotive, semiconductors, and embedded systems.
Funding and Strategic Backing
The startup has also been selected for Y Combinator's Fall 2026 batch, where it is one of five India-founded companies and the only one focused on the neolab model. The fresh capital will be used to expand engineering and research teams across San Francisco and Bengaluru, invest in GPU compute and training data, and build enterprise-grade security, privacy, and on-premises infrastructure. Participation from global quantitative trading angels further signals confidence in ByteAsk's technical focus.
Founders and Background
ByteAsk was founded in June 2026 by Anirudha Kulkarni and Pratyush Saini, both IIT Delhi computer science graduates who previously cofounded legal AI startup LawSutra AI. LawSutra was acquired by legal research platform Manupatra within four months of its launch and demonstrated strong search relevance in proprietary legal data tests. Kulkarni's background in low-latency C++ systems at Optiver and Saini's work in AI infrastructure shaped their conviction that existing generic coding agents do not meet the needs of systems developers.
Market Gap and Product Approach
The founders argue that AI coding tools have not translated equally well to C and C++ environments even though these languages power much of the world's critical infrastructure. They observed that hard C++ tasks often see far lower success rates than Python tasks, and engineers at trading firms spend 30 to 40 percent of their time debugging failures. As a result, ByteAsk prioritises debugging, performance optimisation, memory management, grounding, and verification over simple code generation.
Early Traction and Performance
ByteAsk reports that engineers are using its product approximately six times more intensively each day than a comparable open-source coding agent. Weekly active users are doubling week-on-week, according to the company. On an internal benchmark of real firmware engineering tickets, ByteAsk's grounding environment resolved 89 percent of tickets, compared with 61 percent for the best frontier model tested without that environment.
LawSutra Lessons and Investor Confidence
The founders said building LawSutra taught them that models alone are not sufficient and that context matters to AI agents more than anything else. They are applying that philosophy to code by grounding models in developer workflows and verification. Nemil Dalal, visiting partner at Y Combinator, noted that Kulkarni and Saini stood out for their passion, authenticity, and technical expertise while identifying a large group of developers left out of current AI coding tools.
Roadmap and Y Combinator Access
ByteAsk plans to initially focus on large firms in high-frequency trading, automotive, and embedded systems before expanding into adjacent markets. It expects the Y Combinator Fall 2026 batch to provide better access to the global AI ecosystem, investors, and talent for faster hiring and growth. The startup is also developing a specialised post-training approach for C++, aiming to release one of the first language models specifically post-trained for the language within six to eight months.
By focusing on C and C++ development for mission-critical sectors, ByteAsk is positioning itself in a largely underserved segment of the AI coding market. The pre-seed funding from Y Combinator and Entrepreneur First provides capital and access to networks as the founders expand teams in the United States and India. With strong early adoption and a specialised research agenda, the startup aims to make AI coding tools more reliable for some of the world's most demanding software environments.