ByteAsk Raises $1M to Build AI Agents for C and C++ Programmers

ByteAsk, a San Francisco-based startup building AI coding agents specifically for C and C++, has raised $1 million in a pre-seed round led by Y Combinator and Entrepreneur First, with participation from angel investors at global quantitative trading firms.

The interesting detail is in the cap table math: on YC and EF's published standard terms, the two accelerators account for roughly $625,000 of the round. That leaves close to $375,000 coming from individual angels  an unusually large chunk for a pre-seed round, and one that tracks closely with founders who spent their careers inside trading firms.

Most AI coding tools chase general-purpose web development. ByteAsk is betting the far harder, far narrower problem code that controls planes, cars and trading systems is where the real defensibility lies.

The Details

• Round size$1 million, pre-seed
• Lead investorsY Combinator, Entrepreneur First
• Other participantsAngel investors from global quant trading firms
• YC terms$500K $125K for a fixed 7% on a post-money SAFE, plus $375K on an uncapped SAFE with an MFN clause
• EF terms$125K for an 8% convertible (India programme)
• Implied split$625K institutional (accounting for ~15% in SAFE/convertible terms) vs. ~$375K from angels a notably high 37.5% angel share for a round this size
• FoundedJune 2026; part of YC's Fall 2026 batch
• AnnouncedSeptember 24, 2026

Built by Engineers Who Lived the Problem

Anirudha Kulkarni and Pratyush Saini, both IIT Delhi graduates, founded ByteAsk in June 2026.

Kulkarni previously worked on low-latency C++ systems at Optiver and on data and markets engineering at Quantbox Research. Saini was a senior AI engineer at ThirdAI and a founding engineer at SimbianAI, building AI security agents.

That background explains the angel list. The people writing the checks are largely the people who'd use the product themselves.

An Agent That Checks Its Own Work

Most AI coding agents propose a change and stop there the developer has to verify it works. ByteAsk's agent doesn't skip that step.

It compiles proposed code with the project's own build system and flags, runs the existing test suite, and pushes the result through memory and threading sanitizers AddressSanitizer, UndefinedBehaviorSanitizer, ThreadSanitizer and Valgrind.

In an engine control unit or a trading system, undefined behaviour isn't a minor bug it's the whole risk the company exists to eliminate.

On the company's internal benchmark of real firmware engineering tickets, ByteAsk claims its smaller specialized model resolved 89% of tickets, against 61% for the best frontier model tested without ByteAsk's verification environment.

Where the Capital Goes

The funds are earmarked for product development, engineering and research hiring, GPU compute, training data, and enterprise security infrastructure.

Target customers sit in high-frequency trading, automotive, aerospace, defence, robotics, embedded systems and semiconductors sectors where a single undetected bug carries real financial or physical consequences.

What the Numbers Don't Tell You

ByteAsk's 89%-vs-61% benchmark comes from its own internal test set, not an independent or third-party evaluation a distinction that matters when the entire pitch rests on trustworthiness in high-stakes code.

The unusually heavy angel component is also worth watching. Domain-expert angels validate the problem, but they don't replace the institutional due diligence a larger round typically brings.

The company's real test isn't the benchmark it's whether a defence contractor or trading firm hands over production code to a six-month-old startup.

The Bottom Line

ByteAsk is chasing a narrower, harder market than most AI coding startups the payoff is that if it works, there's almost no competition standing in the way.