Two fresh startups have grabbed attention by tackling big challenges in AI for enterprises. Both raised $50 million recently, but they focus on very different problems.

One company helps businesses get AI projects out of the lab and into real use. The other fights the rising threat of AI-powered cyberattacks targeting employees.

Closing the AI Delivery Gap

Unframe, based in Cupertino, is all about solving what many companies hit: the gap between AI ambition and actual production. Enterprises often have many AI ideas but struggle to get them running at scale.

Unframe offers a managed platform that plugs into a company’s chosen AI models and delivers custom solutions fast. Their approach lets teams build and deploy AI use cases in days, not months. Then, those use cases grow inside the company, creating larger contracts and deeper integration.

In just over a year, Unframe has doubled its funding to $100 million. It boasts a rare 400% net revenue retention rate, showing that customers keep expanding their use. Their clients include Fortune 500 companies across various regions.

The startup competes with traditional paths, like building in-house teams or hiring big consulting firms. Instead, Unframe offers a ready-to-go layer that accelerates AI deployment. One consulting partner called it a “clear buy path” that shortens the road to impact.

Unframe’s CEO, Shay Levi, has a strong track record. He co-founded a successful API security company acquired for nearly half a billion dollars. The company now has offices in Tel Aviv, Berlin, and Cupertino.

Fighting AI-Powered Human Attacks

On the security side, Frame Security launched with a $50 million round to tackle the human weaknesses in cybersecurity. Despite most companies training employees, attackers still exploit humans in nearly 90% of data breaches.

Frame Security uses generative AI to create hyper-realistic attack simulations. These include deepfake audio and video that mimic CEOs or coworkers. The goal is to train employees against the most convincing social engineering attacks.

Traditional security training is often outdated and predictable. Frame’s platform provides real-time, personalized guidance that adapts as new threats arise. This dynamic training helps security teams respond to attacks faster.

The company was founded by alumni of Israel’s Unit 8200 intelligence unit and cybersecurity experts from startups like Wiz and Team8. Its clients already include major enterprises like Louis Dreyfus Company and AlphaSense.

The rise of generative AI has made social engineering more dangerous. Attackers can craft tailored messages or deepfake calls easily and cheaply. Gartner reports many cybersecurity leaders faced deepfake audio or video scams in 2025.

Frame Security’s founders believe this human layer is the most critical defense. Their platform aims to make security awareness truly effective against modern AI threats.

A Busy Market with Big Bets

These startups are part of a crowded race to capture AI’s enterprise delivery and security layers. Another player, Dust, raised $40 million to build a “multiplayer” operating system for enterprise AI teams. Their platform is already used by thousands of organizations.

Meanwhile, AI giants like OpenAI and Anthropic are pushing their own solutions for deploying AI inside companies. This means enterprises will test multiple options to scale AI projects in 2026.

Unframe and Frame Security show how AI startups focus on practical challenges. One helps companies launch AI fast and grow it inside. The other protects employees from AI-powered attacks that fool even seasoned professionals.

Both companies plan to use their new funds to expand teams, deepen technology, and grow globally. Their success will hinge on how well they solve real problems for big customers navigating the AI revolution.