Ninja AI
Ninja AI is an autonomous agent platform from NinjaTech AI that runs long, multi-step work end to end — research, writing, code, images, video and file analysis — from Slack, Teams or WhatsApp, across frontier and open-weight models.
What is Ninja AI?
Ninja AI is an autonomous-agent platform built by NinjaTech AI, Inc. of Los Altos, California, and sold as an AI employee rather than another assistant window. You hand it a goal instead of a prompt; it plans the job, runs the tools, checks its own work and returns the finished result. The company builds that promise on five claims: agents that run around the clock, agents that specialise on your work over time, collaboration from Slack, Microsoft Teams and WhatsApp, free choice of underlying model, and a dedicated cloud virtual machine per agent, each with a real browser in its own isolated sandbox.
The model layer is deliberately open. Frontier engines such as Claude Opus 5, Claude Fable 5, GPT-5.6 and Gemini sit alongside open-weight models including Kimi K3, GLM 5.2, DeepSeek, Qwen and Llama, and you can bring your own keys. Named capabilities cover code generation, an AI writer, an AI researcher, deep research, file upload and analysis, prompt tools, image generation and editing, video generation and a scheduling agent. The site maps these onto ten business functions, from finance and accounting through sales, marketing, support, engineering, data, HR, operations and legal to executive research, with named tasks under each.
Reach comes from 3,227 listed integrations authorised in a click, from Salesforce and HubSpot to GitHub, Jira, Notion, Gmail, Stripe and Figma. Distribution spans web, published iOS and Android apps, and macOS and Windows desktop builds. Developers get an OpenAI-spec-compatible API at api.myninja.ai with four exposed models. Context runs to three million tokens on Pro.
Control is part of the pitch: the agent asks before anything irreversible, every step is visible in the thread, and permissions are scoped per person and per tool. Enterprises can deploy inside their own VPC on Azure, AWS or GCP, on-premise or air-gapped, on dedicated GPUs. NinjaTech is unusually direct about the limits, writing that it shows the controls rather than claiming zero hallucination, and that regulated output still needs human review.
What it does
- Run multi-step jobs end to end over hours, days or weeks and hand back finished work rather than chat replies
- Write, debug and refactor code, carrying a ticket through to a reviewed pull request
- Research across hundreds of sources and return a sourced report, competitive brief or literature review
- Draft and rework content, from articles and marketing copy to emails and recurring reports
- Generate and edit images from written instructions, and generate video
- Analyse uploaded documents, spreadsheets and media, then clean, join and summarise the data
- Act inside your existing stack through thousands of integrations and a real browser, with human approval on risky moves
When to use Ninja AI / When not to
A quick filter to help you decide if Ninja AI is the right fit.
When to use Ninja AI
- Operations and back-office teams handing off repetitive, multi-step work such as invoice processing, account reconciliation and cross-system data entry
- Software engineering teams that want a ticket carried through to a reviewed pull request, alongside code review, bug triage and dependency upkeep
- Analysts, researchers and executive support staff who need hundreds of sources read overnight and returned as a sourced report or briefing
- Marketing, sales and customer support teams automating content production, CRM hygiene and ticket triage without leaving Slack or Microsoft Teams
- Regulated enterprises in healthcare, oil and gas, chemicals or manufacturing that require a VPC, on-premise or air-gapped deployment on their own GPUs
When not to use Ninja AI
- Organisations that need a documented GDPR framework: the site never mentions the regulation, names no Article 27 representative and publishes no Data Processing Agreement
- Teams that cannot accept model training being switched on by default, since opting out takes a deliberate action and is showcased as a paid Business tier feature
- Buyers who require a completed security certification today, as the SOC 2 Type II examination is only described as in progress
- Anyone hoping to automate consequential decisions about people — medical, legal, employment, housing, insurance, credit or education — which the terms expressly forbid
- Users under sixteen, and anyone unwilling to accept US jurisdiction, mandatory arbitration and a class-action waiver unless they opt out in writing within thirty days
How to use Ninja AI
A typical end-to-end flow, from setup to results.
- Create a free account on the Ninja web app; no credit card is required to start
- Add Ninja to Slack, Microsoft Teams or WhatsApp so it sits where your team already works
- Connect your tools through the click-to-authorise flow, choosing from the integration catalogue
- Open the account settings and decide straight away whether to leave the Training toggle on or switch it off
- Hand the agent a goal rather than a prompt, and let it plan the job and run the tools itself
- Follow the work in the thread, where every action appears with its reasoning
- Approve the actions the agent flags as risky, such as sending an external email or changing production
- Pause, redirect or take over at any point, then review the finished output before using it
- For API use, buy on-demand credits from Settings, generate a key from the API keys page, and call the OpenAI-compatible chat completions endpoint
- Delete your account from the profile menu under Settings if you want your data erased
Pros & Cons
Pros
- Genuine model independence: frontier and open-weight engines can be swapped at will, with no lock-in to a single vendor
- Works where teams already are, in Slack, Microsoft Teams and WhatsApp, with no new interface to adopt
- Very wide integration surface, connected by click-to-authorise rather than middleware you have to maintain
- Strong isolation by design, with a dedicated virtual machine per agent and per thread
- Low paid entry point for the category at USD 25 per month, covering up to five seats on the Pro tier
- Unusual deployment freedom, from managed SaaS to a customer VPC, on-premise or air-gapped install on dedicated GPUs
- Refreshingly plain about its limits: the vendor states it does not claim zero hallucination and that regulated output still needs human verification
Cons
- The GDPR is never mentioned anywhere on the site, with no Article 27 representative, no Data Processing Agreement and no subprocessor list
- The Training toggle is on by default, so inputs and outputs feed the vendor unless you deliberately turn it off
- Opting out of training is presented as a feature of the paid Business tier rather than a baseline setting
- SOC 2 Type II is only described as in progress, so no security certification has actually been obtained
- The licence granted over your Content while training is on is very broad: perpetual, irrevocable and sublicensable
- Costs are hard to forecast, since credits are consumed according to the complexity and duration of each task, and the no-commitment monthly price is not publicly readable
- No conventional contact page exists, only a sales demo form and a help centre, and the app itself returns nothing without JavaScript
Pricing & Plans
A permanent free plan is available at USD 0 per month, providing a limited one-time credit allowance, one task at a time and a restricted model selection, with no credit card required. The lowest paid entry point is the Pro plan at USD 25 per month on annual billing. Business is priced at USD 50 per month on the same basis, and Enterprise is quoted on request. Annual billing grants two months free on any plan, and API credits are purchased separately from a USD 50 minimum.
- limited credits
- one task at a time
- limited AI models and limited image models
- monthly credit allowance
- annual credits released upfront
- up to 5 seats with shared credits
- 4 parallel tasks
- premium AI and image models
- built-in connectors for GitHub
- Salesforce
- Jira and Slack
- 5
- 000 credits per month
- unlimited seats and parallel tasks
- intelligent infinite context window
- workspace management
- the option to opt out of data training
- and priority support
- dedicated support and SLA
- custom deployment
- enterprise security and SSO
- and custom integrations
- the published prices reflect annual billing
- which includes two months free
- accepted payment methods include Apple Pay
- Amazon Pay
- Google Pay
- Cash App Pay
- Link
- Alipay
Data, GDPR & hosting
A consolidated view of how Ninja AI handles your data.
GDPR overview
There is no GDPR framework on this site. Searching the whole collected corpus — fourteen pages, plain text and archived HTML, thirty-one files, privacy policy and terms included — returns zero occurrences of GDPR or General Data Protection Regulation. No Article 27 EU representative is named, no Data Processing Agreement is published or offered, no subprocessor list exists, and no standard contractual clauses or lawful bases are cited. The privacy notice, effective 26 February 2025, is framed on US law: it carries a California residents section with no equivalent for EU data subjects. Practical rights nonetheless exist, including self-service account deletion with permanent erasure after sixty days, marketing opt-out, a sixteen-year minimum age and a privacy@ninjatech.ai contact. Silence is not proof of non-compliance, but nothing published here documents compliance either.
Who owns the data?
NinjaTech's terms leave you whatever ownership rights you already hold in your Input, and the company does not claim ownership of the Output; it reserves only its rights in the Services themselves, including the data models, weights, embeddings and algorithms. The qualification sits a paragraph below. While the account's Training toggle is on, you grant NinjaTech a worldwide, royalty-free, perpetual, irrevocable, transferable and sublicensable licence over that Content. The toggle is on by default and can be switched off at any time, but the exclusion applies only to material added afterwards. Feedback and suggestions are licensed separately and perpetually, with no toggle attached, and inputs may be monitored.
Reuse rights
Since you keep your rights in the Input and NinjaTech claims no ownership of the Output, you may reuse what the tool produces without asking permission. The terms attach conditions rather than barriers. Output is used entirely at your own risk and you are responsible for checking it for accuracy and fitness, including by human review. You may not use Output concerning a person for any purpose with legal or material impact on them, such as medical, legal, employment, housing, insurance, credit or educational decisions. You must respect any filters, attribution requirements or restrictions the Services apply, a separate acceptable use policy governs prohibited activity, and you warrant that you hold every right needed over the Input you submit. Note too that Output may not be unique: other users can receive similar results.
Data retention & training
Hosting summary
NinjaTech states plainly that it is located in the United States and may store and process personal information in any country where it has facilities or engages service providers. Transfers outside your country of residence, including to the United States, are explicitly accepted as a condition of use. Beyond the United States, no hosting country or region is named, and no subprocessor list is published. The public application is served through Amazon CloudFront, so the address a DNS lookup returns points to a content delivery edge node rather than to where data is actually stored. Encryption in transit and at rest is claimed. The picture changes entirely for enterprise customers: the platform can be deployed inside the customer's own VPC on Azure, AWS or GCP, on-premise, or fully air-gapped, in which case the vendor states that data never leaves the customer's perimeter and the only outbound call is to the model endpoint the customer chooses.
Things to keep in mind
Risks and trade-offs to weigh before adopting Ninja AI.
- Training is on by default: unless you open your settings and switch the toggle off, everything you type and everything the agent produces is licensed to the vendor, and the exclusion never applies retroactively
- The licence granted while that toggle is on is perpetual, irrevocable, transferable and sublicensable, which is far broader than most users will assume from a single settings switch
- No GDPR framework is published at all, so European users have no named Article 27 representative, no Data Processing Agreement and no subprocessor list to assess
- Delegating whole jobs to an agent that works overnight makes it tempting to stop checking; the vendor itself warns that it does not claim zero hallucination and that output still requires human verification
- The terms push responsibility for agentic behaviour entirely onto you, and forbid using output about a person for medical, legal, employment, housing, insurance, credit or educational decisions
- Credit consumption varies with the complexity and duration of each task, so an agent left running on an open-ended goal can cost far more than expected
- Data is processed in the United States with cross-border transfers explicitly accepted, and disputes go to mandatory arbitration under Californian law unless you opt out in writing within thirty days
Setup & Integrations
Technical difficulty
Everyday use is easy. You create a free account without a credit card, add Ninja to Slack, Teams or WhatsApp, and connect tools through a click-to-authorise flow with no middleware to maintain; the vendor claims a first agent working within minutes, and no technical skill is required. API use is a developer task: buying credits, generating a key and calling an OpenAI-compatible endpoint. Enterprise deployment is a different matter altogether — a genuine infrastructure project involving dedicated GPUs, SSO and SCIM, RBAC and a security review of the whole stack.
Deployment
Apps stores
Integrations
Supported languages
Behind Ninja AI
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Ninja AI.
Frequently asked questions
What exactly is Ninja AI?
Is there a free plan, and what does the paid version cost?
Which AI models does it run on?
Will my data be used to train AI models?
Does the site address the GDPR?
Is there an API, and how do I use it?
Can I use Ninja from Slack or Microsoft Teams?
How long is my data kept if I delete my account?
Is Ninja AI security certified?
Is there a minimum age?
Should you pick Ninja AI?
Ninja AI is a substantial, verifiable product rather than a landing page with ambitions. The company is named and addressed, the legal pages are dated and detailed, the pricing is public across four tiers, the mobile and desktop apps exist on the stores, and the API is documented down to its base URL and model names. What genuinely sets it apart is the combination of model independence, a dedicated virtual machine per agent, and the option to run the whole stack inside your own cloud on GPUs you control. At USD 25 per month for code, writing, research, images and video in one subscription, the price-to-scope ratio is aggressive for the category.
Two reservations deserve to be settled before any sensitive professional use. The first is that the GDPR is never mentioned anywhere on the site — no Article 27 representative, no Data Processing Agreement, no subprocessor list — which is a striking gap for a vendor courting regulated healthcare, energy and manufacturing buyers. The second is that the Training toggle is on by default, so your inputs and outputs feed the vendor until you deliberately turn it off, and switching it off is promoted as a feature of the paid Business tier. The marketing line that your data never trains any model plainly describes the deployed enterprise option, not the everyday SaaS product.
Add a SOC 2 Type II examination still described as in progress and a monthly, no-commitment price that is not publicly readable, and the picture is clear: a capable and fairly priced agent platform, well worth trialling on the free plan, whose governance paperwork has not yet caught up with its ambitions.
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