Janea Systems | Top AI and Machine Learning Company

Overview

Janea Systems has 20+ years of experience delivering mission-critical software solutions. They specialize in AI-accelerated engineering, cloud architecture, open-source platforms and enterprise system optimization. Serving global leaders in tech, pharma and industrial sectors, Janea builds scalable, high-impact solutions from kernel to cloud, integrating AI across the full development lifecycle.

Founded 2003

Company Size: 51-200

Avg. Hourly Rate: $100/hr - $149/hr

Min. Project Size: $50,000

Specialties

.NET

IoT

Big Data

Architecture Solutions

Software Engineering

Cloud Solutions

AI & ML

Redis

Platform Engineering

Digital Products

Data Solutions

Open Source Software Development

Developer Tools

Enterprise Product

Team Experience

1 Year:

19.4%

1-2 Years:

38.7%

3-5 Years:

35.5%

6-10 Years:

6.5%

Median Employee Tenure:

2.8 years

Employee Growth in last 1 year:

11%

Company Offerings

Services

AI and Machine Learning

Big Data Analytics and BI

Custom Software Development

IoT Development

Industries Served

Architecture and Interior Design

Automotive

Banking

Financial Services

Gaming

Healthcare

See 2 more

Technical Expertise

Tech Stacks

C++

Python

Java

.NET

See 5 more

Tools

Git

Linux

Pytorch

Highlights

Top Tech Stacks

C++

Python

Java

.NET

Node.js

Projects

50% Drop in Windows Issues (PyTorch)

Open Source / AI/ML / Big Data

ClientConfidential

Platforms

CrossPlatform

Tech Used

C++C#Pytorch

Key Features

Test hardening & restoration
ARM64 enablement
Dynamic linking & profiling support
C++20 modules refactoring
Compatibility tooling

Outcome

Significantly fewer open Windows issues; full profiling & optimization tooling available; improved stability and cross-platform parity in PyTorch builds (janeasystems.com)

On-Device Analysis & Data Management for Ear Infection Assessment (OtoNexus)

Health / MedTech / IoT & Embedded

ClientOtoNexus

Platforms

Linux

Tech Used

C++Python

Key Features

Battery management & power modes
Edge data processing & FFT
Data pipeline to Azure
Captive portal network setup
GUI integration
Test & CI automation

Outcome

The Novoscope device attained production readiness with real-time edge analysis, improved battery life, reliable connectivity, user GUI, and robust testing pipelines (janeasystems.com)

Location

Primary Development Center

Headquarter

Primary Development Center

Zagreb, Croatia

10+ employees

Headquarter

Seattle, United States of America

Company Profile Disclaimer

The company profile information provided in this website is entirely based on research and data obtained from publicly available sources on the internet as of October 2025. While every effort has been made to ensure the accuracy and reliability of the information, we cannot guarantee its comprehensiveness. All the company information is for informational purposes only. We strongly advise conducting further due diligence before making any business decisions.

Ready to further explore

Janea Systems

Specialties

.NET

IoT

Big Data

Architecture Solutions

Software Engineering

Cloud Solutions

AI & ML

Redis

Platform Engineering

Digital Products

Data Solutions

Open Source Software Development

Developer Tools

Enterprise Product

Team Experience

1 Year:

19.4%

1-2 Years:

38.7%

3-5 Years:

35.5%

6-10 Years:

6.5%

Median Employee Tenure:

2.8 years

Employee Growth in last 1 year:

11%

Highlights

Top Tech Stacks

C++

Python

Java

.NET

Node.js

Projects

50% Drop in Windows Issues (PyTorch)

Open Source / AI/ML / Big Data

ClientConfidential

Platforms

CrossPlatform

Tech Used

C++C#Pytorch

Key Features

Test hardening & restoration
ARM64 enablement
Dynamic linking & profiling support
C++20 modules refactoring
Compatibility tooling

Outcome

Significantly fewer open Windows issues; full profiling & optimization tooling available; improved stability and cross-platform parity in PyTorch builds (janeasystems.com)

On-Device Analysis & Data Management for Ear Infection Assessment (OtoNexus)

Health / MedTech / IoT & Embedded

ClientOtoNexus

Platforms

Linux

Tech Used

C++Python

Key Features

Battery management & power modes
Edge data processing & FFT
Data pipeline to Azure
Captive portal network setup
GUI integration
Test & CI automation

Outcome

The Novoscope device attained production readiness with real-time edge analysis, improved battery life, reliable connectivity, user GUI, and robust testing pipelines (janeasystems.com)