CLIKA just closed its seed round, and it feels less like a check clearing and more like a quiet shift in the balance of power. While most of the AI world is still hypnotized by training ever-bigger models, CLIKA is asking the only question that matters: how the hell do you get those monsters to actually run without draining every watt of electricity in sight?
Founded in 2021 by Nayul Kim and Ben Asaf, CLIKA is what happens when precision meets necessity. Kim, who grew up across 4 continents before building a career in digital transformation, understands the corporate choke points where innovation meets resistance. Asaf, the CTO, honed his chops at Mobileye and the Hebrew University’s Parallel Computation Lab, where scaling complex algorithms was the job description. Together they looked past the shiny demos and realized the market’s blind spot, everyone’s throwing money at model training, but deployment still feels like cramming a Steinway into a subway turnstile. CLIKA makes the impossible practical.
The undisclosed seed round brings in Accenture Ventures, IQT (In-Q-Tel), Milemark Capital, and Golden Gate Ventures. The capital matters, but the network matters more. CLIKA now joins Accenture Ventures’ Project Spotlight, unlocking access to Accenture’s Fortune Global 500 clientele. For a company already stamped by Intel Ignite, Google for Startups Accelerator: AI First, NetApp Excellerator, and even TechCrunch Disrupt’s Startup Battlefield 200, this isn’t just another line on the résumé. It’s momentum with teeth.
What CLIKA built is deceptively simple. Their SDK compresses and optimizes AI models automatically, cutting them down by as much as ten times in size and accelerating performance up to five times, all without compromising accuracy. Hardware-agnostic, edge-ready, and compliant with the toughest air-gapped environments, it strips away excuses and delivers results. Imagine folding an origami crane out of solid steel, efficiency and precision with nothing left on the table.
The timing couldn’t be sharper. Enterprises aren’t debating if they’ll need edge AI; they’re already under pressure to deploy it securely and at scale. By focusing on enterprise and government markets where performance and privacy are non-negotiable, Kim and Asaf position CLIKA not as another loud voice in the hype cycle, but as the silent infrastructure that makes the rest of the industry possible.
