Company

Read our PlanetStory – how it all started

Founded in 2015 as a research-driven company, PLANET AI creates world-leading technology for text, voice and image recognition.

PLANET AI is a wholly-owned subsidiary of its privately-owned parent company, PLANET intelligent systems, founded in 1992.

Our PlanetStory

2021

Rocket

A revolutionary release

IDA 4.4 with highlights such as the Extraction Assistant

30 employees

2020

PLANET AI keeps growing

IDA Dashboard 1.x, Key-Value Extraction and Table Detection

New generation of ObjectDetection

New team (DevOps) and extension of our office

25 employees

2019

Doctor AI

New horizons

Kickoff for Doctor AI

IDA 4.x: Page and Document Classification

Project NEISS (with CITlab)

2018

Document Batch

IDA takes form

Implementation of Search and License Server

Start of NewsEye Project (with CITlab)

Structuring into Research and Development departments

2017

Partners

Implementation of first IDA Server

Prototypes for Search in Speech and MobileSearch App

Start of cooperation with IBM

Twelve employees

2016

ArgusSearch_mixed fonts

Launch of ArgusSearch

Focus on archival and historical documents

2015

Company Building

Foundation of PLANET AI

Founded by Hagen and Welf Wustlich and Jesper Kleinjohann in Rostock, Germany

Three employees

2013

Foundation of CITlab, University of Rostock

Computational Intelligence Technology Lab, Institute of Mathematics

PLANET AI’s longest research partner

2012

Letter and Parcel

Text recognition revolutionized

First implementation of an Automatic Text Recognition (ATR) approach for logistics solutions

2008

Address ITR

Rollout FedEx Ground

Address recognition for handwritten address data

2004

Address Finding

Launch of Intelli-Line

Standardized product for the automatic capture of address data

2000

First cooperation with University of Rostock

Roger Labahn, Institute of Mathematics, later part of CITlab

1999

Company Building

Expansion

Headquarter in Raben Steinfeld, near Schwerin

First implementation of Optical Character Recognition (OCR)

1995

Finding ROI for Traffic