NinjaTech AI

Hire Ninja, your 24/7 self-evolving AI employee.

[NinjaTech AI @NinjaTechAI]

What's the cost of your AI agent?

@theinformation's @KevKubernetes spoke with our CEO @babakph about how Ninja Enterprise is tackling the “sticker shock” that can come with running agents around the clock.

Instead of unpredictable usage-based costs, Ninja gives enterprises a flat-rate approach, with open-weight models at the center and the flexibility to use models from OpenAI and Anthropic when needed.

Read the full briefing: https://t.co/uPK6uPp8Fe

[NinjaTech AI @NinjaTechAI]

What does enterprise AI look like when you own the workforce instead of renting access to it?

@Scobleizer took a closer look at SuperNinja Enterprise and the technology behind it.

Ninja's AI Employees can work around the clock on long-running jobs, run inside a company's own cloud, on-prem, or air-gapped environment, and use both frontier and open-weight models.

It's a different approach to enterprise AI: one built around ownership, flexibility, and finished work rather than seats and sessions.

Thank you, Robert, for taking a look under the hood.

[Robert Scoble @Scobleizer]

A deep look at @NinjaTechAI.

New for enterprises:

Long running agents.
Works in slack.
Everything under control of company using them (all “on prem”)
Costs way less for enterprise.

First video is an hour. Second is a demo.

[NinjaTech AI @NinjaTechAI]

SuperNinja Enterprise is here. 🥷

Today, we're launching an #AI workforce built for enterprises ready to move beyond pilots.

SuperNinja Enterprise brings AI Employees, GPU capacity, and inference infrastructure together under one contract and a fixed annual bill. It runs in the customer's cloud, with unmetered capacity for open-weight models and the flexibility to use the right model for each workflow.

AI Employees can work around the clock on long-running jobs while enterprise teams keep control of their data, infrastructure, and costs.

One platform. One contract. An AI workforce ready to get to work.

Learn more: https://t.co/NzknWcich0

[NinjaTech AI @NinjaTechAI]

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. 👇

[NinjaTech AI @NinjaTechAI]

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.

https://t.co/0mJK3LbkyB

[NinjaTech AI @NinjaTechAI]

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.

https://t.co/0mJK3LbkyB

[NinjaTech AI @NinjaTechAI]

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.

[NinjaTech AI @NinjaTechAI]

@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.

https://t.co/xPEjUJrXXz

[NinjaTech AI @NinjaTechAI]

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.

https://t.co/L7HnZEeVVA

[NinjaTech AI @NinjaTechAI]

Enterprise AI shouldn't stop when the session ends.

Get a glimpse of Ninja's AI Employee in action.

[Babak Pahlavan @babakph]

Your CFO wants a predictable AI bill. Your CISO wants data that never leaves your cloud. Your employees want AI that doesn't stop at a cap.

We built all three: turn-key, unmetered, 24/7 AI employees doing end-to-end work inside your own infrastructure.

We can only onboard a few companies a month, so spots are limited → https://t.co/rhiqRWzxFF (1,000+ employees and curious? DM me.) 🥷

12 months of R&D + 4 month of quiet Beta with a series of customers, now we are launching publicly in Sept 😊

[NinjaTech AI @NinjaTechAI]

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. 🚀

[NinjaTech AI @NinjaTechAI]

I asked SuperNinja to build a Product Management training workshop.

Manual effort: 1–2 weeks
SuperNinja: 15 minutes

Here’s what it generated 👇

A complete 2–3 hour PM training module for team leads:

1️⃣ Roadmap Planning
Now / Next / Later framework
Outcome-based roadmaps
Hands-on prioritization exercise

2️⃣ Prioritization
RICE
Value vs Effort
MoSCoW
Live scoring workshop

3️⃣ Stakeholder Communication
Exec vs Eng vs Sales alignment
Structured “No” framework
Role-play scenarios

4️⃣ Metrics
North Star Metric
OKRs
Leading vs lagging indicators

5️⃣ Cross-Functional Leadership
DACI decision framework
Meeting effectiveness checklist

Output:
40+ slides
Exercises
Templates
Frameworks
Visuals

No consultant.
No blank PowerPoint.
No 2-week build cycle.

Research → Structure → Training Module

In 15 minutes.

This is how internal enablement gets built now.

https://t.co/WeKqOEQipq

#AI #ProductManagement #Leadership #Automation

[NinjaTech AI @NinjaTechAI]

🚀 Big announcement from @NinjaTechAI:

We're launching AI Workforce.

Not a chatbot. Not a copilot.

A coordinated team of 25+ AI agents that work like remote team.

Each one has its own computer, real tools, and a specialized role.

They coordinate. They execute. They deliver.

Waitlist is open 👇
https://t.co/onlH1JrDwT

#AIWorkforce #FutureOfWork #superninja

[NinjaTech AI @NinjaTechAI]

Analyzed 10 top tech newsletters.

The formula:
• Weekly frequency (daily burns subscribers)
• 40% educational, 25% product, 20% stories
• Mobile-first design (65% open on phones)
• 80/20 rule: value vs promotion

Biggest mistake: sending too often.

#AI #EmailMarketing #Newsletter #SuperNinja #ContentStrategy

[NinjaTech AI @NinjaTechAI]

I asked SuperNinja to compare 5 fitness trackers.

Manual research: 6–8 hours
SuperNinja: 5 minutes

Devices analyzed:
• Apple Watch
• Samsung Galaxy Watch
• Fitbit Charge 6
• Garmin Venu Sq 2
• Oura Ring

What it found 👇

Best overall sensors → Apple Watch
Best Android option → Galaxy Watch
Best battery life → Garmin (8–9 days real world)
Best for sleep → Oura Ring
Best value → Fitbit Charge 6

It pulled:
• Expert reviews
• Spec sheets
• Real-world battery tests
• Subscription details
• Feature comparisons

Then structured everything into decision-ready tables.

No 20 open tabs.
No spreadsheet chaos.
No 3-hour rabbit hole.

Research → Structured → Decided

In 5 minutes.

This is what AI-powered product research should look like.

https://t.co/WeKqOEQipq

#AI #ProductResearch #Wearables #Automation

[NinjaTech AI @NinjaTechAI]

From 4–6 hours to 2–3 minutes. ⚡

How SuperNinja handles pricing analysis:

🛒 Need prices for 50 products across 10 competitor sites?
⏳ Manual scraping: Hours of searching, copying & organizing.
🚀 SuperNinja: Done in minutes.

Here’s how:
1️⃣ Identifies target sites & data structure
2️⃣ Navigates, searches & finds product pages
3️⃣ Extracts names, SKUs, prices, availability, reviews
4️⃣ Cleans & standardizes the data
5️⃣ Validates & exports (CSV, JSON, Excel)

Real example:
50 electronics products across major retailers →
• 200 total listings scraped
• 97.5% success rate
• Best deals instantly identified

Automate competitor pricing & market monitoring. 🚀
https://t.co/pK5QkdvAAm

#AI #DataExtraction #Automation #SuperNinja

[NinjaTech AI @NinjaTechAI]

From messy files to clear insights in minutes. ⚡

How SuperNinja processes data:

📂 Upload anything — PDF, Excel, CSV, Word, even images.
🔎 It detects structure, language, tables, forms, and layout.
📊 Extracts & structures the data (names, dates, amounts, patterns).
🧠 Runs smart analysis — stats, sentiment, trends, comparisons.
📈 Delivers reports, charts, summaries & actionable recommendations.

Real example:
50 customer feedback PDFs →
• Avg rating: 3.8/5
• Top issues identified
• Sentiment breakdown
• 5 clear recommendations
All in minutes.

Turn raw data into decisions. 🚀
https://t.co/pK5QkdvAAm

#AI #DataExtraction #Analytics #SuperNinja #DataAnalysis

[NinjaTech AI @NinjaTechAI]

How SuperNinja automates document creation:

📝 You need: A 15-page white paper
⏳ Manual time: 3–5 days
🚀 SuperNinja time: Minutes

Here’s how it works:
1️⃣ Understands your requirements (audience, tone, length)
2️⃣ Researches latest data & trends
3️⃣ Builds a clear, strategic outline
4️⃣ Writes every section (summary → case studies → recommendations)
5️⃣ Reviews, refines, and polishes

Research. Structure. Writing. Polish.
All automated.

Try it: https://t.co/pK5QkdvAAm

#AI #DocumentCreation #Productivity #SuperNinja #ContentCreation

[NinjaTech AI @NinjaTechAI]

2-3 hours of research → 2-3 minutes with SuperNinja 🚀

Workflow:
1. Query analysis (10s)
2. Parallel web search (20s)
3. Content extraction (45s)
4. Data synthesis (60s)
5. Structured output (30s)

50+ sources synthesized.

#AI #Research #Productivity

[Babak Pahlavan @babakph]

Our AI employees built a full AI short-film platform in 36 hours for ~$270.
It's called NinjaFlix → https://t.co/dlYQzBLbmd
The agents then created 4 new agents that now run it 24/7 — researching news, debating video concepts with each other, generating short films via Sora 2 Pro / Veo 3.1. Completely autonomous.
You can even vote every hour on which topic they should use next.
Click any video to read the full agent debate transcript underneath. Real multi-agent collaboration, not a demo. I've included some screenshots from their live Slack interactions — it's wild watching them work together (they're not perfect btw and can make mistakes).
1.5yrs of R&D at @NinjaTechAI — we're gearing up to launch AI Employees as a service:
→ Long-running agents with dedicated cloud VMs → Collaborating inside Slack → Working for weeks and months, not sessions → Building full applications deployed to our upcoming App Store (so other users can adopt and modify them too)
We'll be releasing apps and projects weekly — all built by AI agent teams collaborating with humans. Productivity apps, AI tools, even a gaming studio is in the works.
We think our AI employees can build the majority of AI apps being shipped today (especially the wrapper apps — those are easy).
Real-time coding powered by @Anthropic Opus 4.6. They can potentially work with @OpenAI Codex & @Google Gemini 3 Pro too — we haven't tried them yet.
Unlike OpenClaw (@OpenAI): full team, secure cloud, enterprise guardrails, no local hardware needed.
🔥 NinjaFlix is live. Go try it. Go vote on the next video. 👉 https://t.co/dlYQzBLbmd
🎁 Got a killer app idea? Reply with #SuperNinja — we'll have our AI employees build the best ones.
🚀 Want your own AI employees? 👉 Join the waitlist: https://t.co/3rikV38qVQ
⚡ Existing paid users get an exclusive early-bird discount — but only during initial rollout. Don't sleep on this.
The future isn't AI replacing humans. It's every human having an AI workforce.
We're hiring the machines so you don't have to do the work alone.