Ardalos

Name: Ardalos
Address: 119 Mitropoleos Str, Thessaloniki, 54622, Greece
Telephone: 6944850839
Price range: $10,000 - $25,000

Make data work for you.

119 Mitropoleos Str, Thessaloniki, 54622, Greece

https://ardalostech.com

Ardalos Overview

Year Founded: 2020

Employees: Under 49

Minimal Budget: $10,000 - $25,000

Average Hourly Rate: Inquire

Ardalos specializes in delivering cloud-optimized data solutions tailored for companies at any stage of growth. We provide scalable data management systems that evolve with your business, ensuring efficient and seamless handling of data. Our comprehensive offerings include not only robust data solutions but also thorough training and education programs, equipping your team with the skills and knowledge necessary to independently tackle data challenges.

Partnering with Ardalos means achieving data maturity through expert guidance and the latest cloud technologies. Our mission is to elevate your business by transforming your data management processes, enhancing operational efficiency, and driving informed decision-making. With our tailored approach, we help you harness the power of data to propel your business forward.

Ardalos Portfolio

Big Data Analytics

Sellics -Data Platform implementation

$20K - $100K

12 Months

2022

Ardalos Services

Industries

Media & Communications
Corporate Services
Gaming

Client Types

Startups
Small Businesses
Medium Businesses
Enterprise / Corporate

Application Platforms

Amazon
Google App Engine

Big Data Expertise

Operations & Process Improvement

Custom Languages

Java
Kotlin
Python
SQL
Scala

IT Services Expertise

No Code Development Expertise

Airtable

Ardalos Clients

Sellics

Flywheel Digital

Iphaistos

Ardalos Team Bios

Andreas Seficha

Founder

Self driven professional equipped with multiple years of comprehensive experience in software. Ihave provided strong technical direction across multiple project. After working many years in the start up scene in Europe I decided to open Ardalos,an agency helping companies make sense of vast data.