After three years of R&D and customer interviews, today we're launching SuperNinja Enterprise: a turnkey AI workforce platform that puts AI employees to work around the clock inside your own cloud, on a fixed annual bill. The GPU and inference capacity it runs on comes in the same contract, so there is nothing to assemble first.
Here's the whole story in about a minute.
Why enterprise AI stalls
AI agents have advanced enough to handle long, unattended jobs. That's the good news. The catch is that they burn far more tokens than a chat window ever did, and on a per-token meter the bill climbs with every hour they run. In our customer interviews, the same four problems came up again and again:
1. Cost. Per-token bills grow with every agentic session, so the more useful AI becomes, the more it costs.
2. Unpredictability. Teams can't forecast usage-based pricing, so AI budgets break before AI scales.
3. Rationing. Every call has a price and a rate limit, so AI gets handed to a pilot team instead of every employee.
4. Custody. Every call to a hosted model moves data and IP outside your walls, and your most sensitive work can't go there at all.
Together, they're why most enterprise AI deployments are still stuck in the pilot stage instead of scaling across the organization.
Four problems, four answers
We designed SuperNinja Enterprise around those four problems, with one answer for each.
1. Cost: about 10x lower total cost. Running open-weight models 24/7 on capacity reserved for you, end-to-end costs are about 10 times lower than comparable deployments on frontier lab models.
2. Unpredictability: one fixed annual bill. Pricing is fixed for the year and holds as usage grows. Finance gets a number it can plan around, not a surprise AI bill.
3. Rationing: unlimited tokens. Open-weight compute is unmetered, so AI reaches every employee instead of stopping at a rationed pilot.
4. Custody: your data and IP stay in your cloud. The SuperNinja platform runs inside your own cloud VPC, so your data and IP never leave it. Enterprise data is never pooled and never trains any outside model, and the work your AI employees produce stays in your own tenant.
“With SuperNinja Enterprise, your CISO can rest assured data never goes outside your own walls, ” said Babak Pahlavan, CEO of NinjaTech AI. “Your CFO gets an AI bill that doesn't move. And everyone sleeps well, knowing you can scale AI without waking up to skyrocketing costs.”
Turnkey: software, inference and GPUs in one contract
Deploying enterprise AI today usually means securing GPU capacity, standing up model-serving infrastructure and deploying applications, each with its own vendor and contract. SuperNinja Enterprise combines all three into one product.
For the first time, NinjaTech AI is also supplying the GPU and inference capacity the platform runs on. It comes through our partners, Microsoft with Fireworks AI, or AWS, on single-tenant capacity reserved for you. Neither side buys hardware. The SuperNinja platform itself deploys into the cloud account you already run, whether that's AWS, Azure, Google Cloud, Oracle or Nebius.
If your most sensitive work can't touch an external network, you can choose a licensed deployment inside your own air-gapped environment instead, where you supply the hardware.
AI employees that finish the work
An AI employee isn't a chatbot that suggests answers. Give one a goal and it spins up its own virtual machine, writes the code, installs the tools and services it needs, and keeps working until the goal is achieved. It runs unattended around the clock, so long jobs keep moving while your team sleeps.
And it works where your team already works. AI employees collaborate with your team in Slack and Microsoft Teams, so you can hand off work and stay in the loop where you already talk. With 3,200+ integrations, they reach the systems your business already runs on.
The right model for every job
SuperNinja Enterprise runs on frontier open-weight models, currently DeepSeek V4.1 Flash, with unlimited tokens. When a job calls for it, Anthropic and OpenAI models are supported alongside, so you can move each workflow to the best model for the job. Models are swappable, so you're never locked into one AI lab.
Rolled out with partners you know
Platform and implementation arrive in one contract, at one price. Healthcare customers work with our integration specialist Optimum HealthcareIT, and other enterprises work with Infosys. The platform offers unlimited seats and SOC 2 Type 2 compliance.
Start with a pilot, scale to the whole organization
SuperNinja Enterprise is available now. Start with a fixed-scope pilot that puts AI employees on real work in days, then expand into an annual capacity contract, with packages sized for 100, 500 or 1,000 AI employees.
“Most vendors keep AI on a usage meter,” Pahlavan said. “We give enterprises predictable capacity and costs, so adoption can spread across the organization instead of stopping at a pilot.”
Ready to take AI from stalled pilots to full scale? Learn more and talk to our team at ninjatech.ai/enterprise, or email sales@ninjatech.ai.
