KSGA
KSGA Consulting is a proven team of AI/ML engineers and fractional CXOs who productize research to help launch and accelerate early stage startups.
Problem: Early-Stage Engineering Bottleneck
Early-stage startups with products based on novel research and/or algorithmic breakthroughs often face a critical skills gap:
Great Technology Researcher ≠ Great Product Engineer
Exceptional researchers who develop groundbreaking technologies often lack the skills and experience to build robust, scalable, market-ready products architected on the right technology stacks.
Most product engineers cannot handle deep tech
When productizing algorithmically-heavy technologies, engineers must be comfortable with the relevant mathematical background, academic concepts, and specialized software libraries.
Hiring this unique engineering skillset is expensive
The consistent feedback we received from founders was blunt: "The engineers we want to hire we can’t afford, and the engineers we can afford we don’t want to hire."
Solution: Premier Engineering + Shared Risk Pricing
KSGA Consulting was founded to solve this dilemma by pairing a proven team of experienced engineers with an innovative Shared Risk Pricing model:
Comprehensive help, from concept to code
We are your technical co-founder team, diving into the research to design, code, launch, and adjust your products. We manage milestones and build your internal team as you grow.
Lower upfront rates, aligned long term incentives
We take on company risk by deferring most of our cash and equity payment, contingent on key company fundraising and/or revenue milestones.
Our Background: Forged in Research, Proven in Startups
KSGA is a cohesive team with a deep, shared history, refined by years of collaborative success in the demanding environment of early-stage startups:
Carnegie Mellon University's CyLab Biometrics Center
Where we honed our expertise in productizing and scaling cutting-edge AI/ML research.
Founding engineering team of HawXeye
A successful startup born directly from CyLab, giving us firsthand experience in the academic-to-startup journey.
Tackling the challenges of early-stage ventures, again and again
We’ve productized novel AI/ML algorithms across startups in diverse sectors such as robotics, retail, and security.