Companies

NinjaTech

ninjatech.ai

NinjaTech provides autonomous AI employees that execute complex, end-to-end workflows across applications and enterprise systems.

HQLos Altos, California, United States
Employees11-50
Funding$29M
Revenue$4m ARR
8 active roles
Profile 8mo agoJobs checked 4d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Agents
Customers
Consumersand 1 more customers values
  • Enterprises
More details
Organization type
Commercial Company
Ecosystem
Agents
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Consumers, Enterprises
Delivery models
Hosted Software
Revenue models
Usage Based, Licensing, Subscription
Listing status
Not classified
Latest equity round
Seed
Reported funding amount
$10M-$50M

About

NinjaTech builds SuperNinja, an autonomous AI workforce whose agents run on dedicated cloud computers to research, analyze, code, create apps, and complete complex work across business tools. The company sells to enterprises and C-suite or VP-level buyers, differentiating through AI employees that execute multi-step workflows end-to-end rather than merely generating chat responses.

Market

NinjaTech competes in the autonomous AI employee and enterprise agentic-automation market, positioning SuperNinja as an unmetered, horizontal intelligence workforce that performs multi-step work end to end rather than merely providing chat or department-specific automation. Its primary differentiation is a cloud-native architecture built around isolated virtual machines, organization-controlled VPC deployment, access to many underlying models, and fast autonomous research through Plan & CodeACT and Cerebras inference.

Target Customers

NinjaTech primarily targets large enterprises, especially Fortune 500 organizations, with C-suite and VP-level buyers such as CFOs, CTOs, General Counsels, and CHROs. Its horizontal platform is intended for organization-wide deployment across departments rather than team-level pilots or mid-market seat sales.

At a Glance

Problem

NinjaTech targets the growing amount of repetitive, time-consuming work that consumes knowledge workers’ attention without requiring much uniquely human judgment. AWS cites research that knowledge workers can spend up to 15 hours per week on tasks such as email, research, meeting preparation, scheduling, and travel booking, with managers spending as many as 20 hours. The economic pain is therefore the recurring cost of skilled labor tied up in administrative workflows rather than higher-value work. The clearest killer use case is handing off an entire back-office process—such as account reconciliation, invoice follow-up, or month-end close preparation—rather than automating only one step.

Product / Service

Ninja is positioned as a 24/7 autonomous AI employee rather than a conventional chatbot or single-purpose application. A user gives it a goal, and it plans the work, operates tools, checks its own output, and returns a completed result. It can work through channels such as Slack, Teams, and WhatsApp, learns a company’s tools, data, and playbooks over time, and runs in its own isolated cloud virtual machine with a browser and dedicated compute. The platform combines multiple agents and models, enabling tasks ranging from coding and deep research to document analysis, scheduling, customer support, finance, and operations.

The delivery model is self-serve and subscription-based for individuals and teams, with a free tier and paid plans using monthly credits and parallel-task limits; enterprise customers can receive custom VPC or on-premises deployment, dedicated GPUs, SSO, and audit features. The intended benefit is to replace fragmented, manually coordinated work with an always-on digital worker that finishes multi-step jobs end to end, while model flexibility and AWS-based infrastructure help NinjaTech balance capability, speed, and cost.

Market

NinjaTech competes in the emerging AI-employee, autonomous-agent, and business-productivity-software market. Its closest explicitly documented comparison is Manus, another autonomous agent, while the broader AI-employee landscape includes products such as Lindy, Sierra, and OpenHands. NinjaTech’s differentiation is its attempt to combine general-purpose autonomy with a dedicated execution environment, access to multiple frontier models, broad tool connectivity, and the ability to automate complete workflows rather than provide only conversational assistance.

The product is commercially available rather than merely pre-launch: NinjaTech offers a free plan and paid Pro and Business tiers, with the pricing page showing Pro at $25 per month. The company reported more than one million monthly users for MyNinja in September 2024, and PitchBook lists $29 million raised, including a 2025 seed round marked as generating revenue. Those figures indicate meaningful early adoption and monetization, although the available evidence does not provide a current revenue figure or a detailed breakdown of paying versus free users.

Founders & Leadership

Babak PahlavanFounder
Founder, CEO & CPO
Arash SadriehFounder
Co-Founder, Chief Science & Technology Officer
Sam NaghshinehFounder
Former Co-Founder & CTO
Ken HoVP of Engineering
Katie LaFranchiChief People Officer

Funding History

2023-05
Seed VC (pre-seed)$6M

Candou Ventures, DCVC, SRI Ventures, Laszlo Bock

2024-02
Seed VC - II$10M

a16z Games Speedrun, Abstract, Index Ventures

2025-03
Seed VC - III$10M (inferred residual)

Amazon Alexa Fund

2025-06
Seed Round$2M

Not disclosed

Recent News

2026-09-28product_launch
NinjaTech AI launches SuperNinja Enterprise

NinjaTech AI launched SuperNinja Enterprise on September 28, an AI workforce platform that deploys AI employees inside a customer’s own cloud or data center. The platform uses open-weight models and offers inference capacity under a fixed annual contract; NinjaTech said it was available immediately.

2026-09-09product_launch
NinjaTech AI promotes own-cloud enterprise AI employee offering

NinjaTech AI founder and CEO Babak Pahlavan publicly promoted an enterprise offering designed to run AI employees inside a customer’s own cloud and on models the customer owns. The offering emphasizes enterprise control of data, model infrastructure and intellectual property, with users directed to ninjatech.ai/enterprise.

2026-07-02product_launch
Fable 5 Is Now Live in Ninja Max Mode

NinjaTech announced that Fable 5 is live in Ninja Max mode and discussed the model’s capabilities, benchmarks, pricing, and access without purchasing credits.

2026-02-04product_launch
SuperNinja Agentic Slide Maker: AI-Powered Presentations with Deep Research

NinjaTech launched the Agentic Slide Maker, which combines autonomous research agents, custom AI-generated visuals, and multiple model choices. The tool was made available as part of SuperNinja.

2025-12-13partnership
NinjaTech AI Joins the Linux Foundation’s Agentic AI Foundation

NinjaTech announced that it joined the Linux Foundation’s Agentic AI Foundation to support open, interoperable standards for autonomous AI systems and the broader developer community.

2025-08-15partnership
NinjaTech AI and Cerebras Launch the World’s Fastest Deep Research

NinjaTech and Cerebras announced SuperNinja Fast Deep Research, which they said could process complex data up to five times faster than competing solutions and reduce research cycles from more than ten minutes to roughly one to two minutes.

Active Roles

8
SF Bay Area, CA, USA/Product/38d ago
Sydney, NSW, Australia/Engineering/63d ago
Sydney, NSW, Australia/Engineering/66d ago
Sydney, NSW, Australia/Engineering/66d ago
Sydney, NSW, Australia/Engineering/66d ago
Sydney, NSW, Australia/Engineering/66d ago
OnSite - Sydney, NSW, Australia/Data & Analytics/66d ago
OnSite - Sydney, NSW, Australia/Engineering/160d ago

Business Model

NinjaTech uses a freemium, usage-based model: users can start free, purchase credits as their AI employees take on more work, and subscribe to Pro plans starting at $19 per month. It also monetizes enterprise deployments through enterprise licensing and organization-wide expansion.

Products

Ninja autonomous AI EmployeeSuperNinja end-to-end agentic platformSuperNinja Fast Deep ResearchFirst-party autonomous capabilities for research, executive support, coding, data analysis, web browsing, file processing, and operational workflows

Customers

MCS Family Wealth AdvisorsOnsight TechPacific North West FundrasingRedstar 24 ElectronicsRepro GlideShelfordStonewood PartnersTD Home SupplyTiqhubSan Marcos DentalDuze NoweLake CableJump FactorHotel BargoGCBFund MateDuvaltexFoundation SecurityLeslieville Dance And MusicCore CSIBlack Shield NorthBIM 3DSeventh Sense ProjectsAgriconAgile Tech NowAustbrokers ComsureVeenionTyson Mendest2oReDimQuezProvaworkPerronPearce ITOfabOTTHealthyrHarper GlobalDaylight Health & SafetyBizupBrain GrainAxysAlastronixHonolulu GovernmentTulane UniversitySuperlinkedQueensland Government

Tech Stack

Cloud/VPC deployment on Azure, AWS, or GCPDedicated, isolated cloud virtual machinesLarge language models, including Qwen3-235B, Claude, GPT, Gemini, DeepSeek, and LlamaPlan & CodeACT agent scaffolding with iterative validation and replanningCerebras wafer-scale inference and on-chip SRAMMulti-model routing across 40+ modelsEnterprise security controls, including encryption, firewalls, and sandboxing

Competitors

Microsoft Copilot Studio
UiPath
ServiceNow
Salesforce Agentforce
Glean

Key Investors

SRI, Blue Moon, Ferocity Capital