NinjaTech AI

AI tools get sold into the software budget and have to justify themselves in seats. An AI workforce competes with the outsourcing budget, which is an order of magnitude larger. With Ninja, you hire and own it. ninjatech.ai/enterprise

Imagine if Google gave you just 100 searches a month. That's how our CEO, @babakph, describes the problem of token rationing in enterprise AI in his conversation with Vlad Kachur. Watch the clip. 👇

When the work gets more complex, Anthony Kelley puts SuperNinja to work. After testing six different AI platforms, he relies on SuperNinja for demanding technical work across infrastructure, data analysis, application development, and coding. For Anthony, the difference shows as the work gets harder.

The current economics of enterprise AI are built around tokens and SaaS subscriptions. We're taking a different approach. In his recent conversation with @vladdoes , our CEO @babakph explains why SuperNinja Enterprise is challenging the industry's existing business model. Rather than following the same pricing and delivery structures, we're rethinking how enterprises access and pay for AI. 🔗 Watch the full conversation: youtu.be/R8pCCUPtrj8?si=2iJn…

Enterprise AI should give businesses more control, not less. That was the focus of our breakout session at Agentic AI North America in Reston, Virginia, last week. As a sponsor of the event, we had the opportunity to discuss a different approach to enterprise AI: owning the infrastructure, controlling costs, and keeping ownership of your IP. Thanks to the Agentic AI North America team and everyone who joined us for the conversation!

Most enterprise AI programs aren't small because the models aren't good enough. They are small because the data has to leave the building to reach them. Ninja runs inside your own VPC, or air-gapped. It never leaves.

A lot has changed since our CEO, @babakph, last joined @vladdoes in March. Back then, the conversation was about building AI Employees that could take on complex, long-running work. Now, with the launch of SuperNinja Enterprise, the focus has shifted to making that work economical and practical for enterprises. In their latest interview, they discuss what drove that shift, including conversations with enterprise leaders about unpredictable AI costs and data security concerns. The technology was one challenge. Making it work for enterprises was the next. Watch the full conversation: youtu.be/R8pCCUPtrj8?si=kVwJ…

Every agent demo works until it meets the outdated vendor portal your business runs on. 3,000+ integrations where an API exists. Browser automation where it does not. A process is only as automated as its worst step. ninjatech.ai/enterprise

Tokenmaxxing: when your vendor is paid by how long your agent thinks. Not fraud, just an incentive pointing the wrong way. And a 24/7 agent is your heaviest token consumer. Fixed capacity ends the argument.

This is what a NinjaTech AI Employee looks like in action. Ninja keeps a job running beyond a single session, building on its work and becoming more specialized as it goes. The work keeps moving until the job is finished. 👇

Token prices keep hitting record lows. Enterprise AI bills keep climbing. Agents burn orders of magnitude more tokens than chat did. Cheaper tokens, bigger invoice. Our estimate: unmetered on open-weight models runs more than 10x cheaper for 24/7 work. ninjatech.ai/enterprise

Enterprise AI pilots rarely fail on capability. They stall because the meter decides who can use them. Unmetered on open-weight models means nobody gets told no. ninjatech.ai/enterprise

What happens when you work with Ninja every day for more than a year? You'll get to see just how much it can evolve. Jeff Gunn has been a daily Ninja user for over a year, watching the platform grow and putting SuperNinja to work along the way. His take: “SuperNinja is on another level, doing some great work together!” And that evolution is exactly the point. Ninja is built to keep working, learning, and getting better at the work you give it.

@nvidia's nearly $13B acquisition of @huggingface is about more than the price tag. It puts a spotlight on the ecosystem that has made open-weight models accessible at scale. For enterprises, choice matters. One model or provider shouldn’t be the only option. cnbc.com/2026/08/27/nvidia-h…

We asked our AI to explain what an AI employee is. It wrote a song, animated it, and cut the film itself. Sound on. Sorry in advance. ninjatech.ai

We're thrilled to announce that NinjaTech AI has been named a Webby Honoree at the 30th Annual Webby Awards! 🏆🥷 Often called "the Internet's highest honor," the Webbys recognize the best of the web — and being selected among thousands of entries from across the globe is a moment we don't take lightly. This one's for our incredible team, our community, and everyone who believes AI should be smarter, faster, and built for the way people actually work. We're just getting started. 🚀