5 Deep Tech Companies That Are Scaling Up: Part 2

James Dargan

Here’s the next part on startups that have scaled up. More interesting ones today that we’re sure to hear a lot more about in the coming months and years.

1. TakeTask

TakeTask helps companies in their growth strategy by securing flexibility, scalability, and cost-effectiveness in the field of human labour with its business tool for performing a variety of tasks (e.g. surveys, audits, sales) anywhere in the world.

The startup, which employs integration with advanced technologies such as IoT and AI, was founded in 2017 by Marcin Dobek, Marek Mroz, Piotr Rybiński, and Sebastian Starzyński and is based in Warsaw, Poland.

Since 2017, TakeTask has raised a total of $1.1 million in funding over five rounds.

2. Deepomatic

Founded in 2014 by Aloïs Brunel, Augustin Marty and Vincent Delaitre, Paris-based Deepomatic is the only visual automation platform specifically designed to help telco companies and their business partners augment their operations in the field.

It uses industry-leading image recognition and AI to instantly assess the state of fibre installations and guide technicians to successful task completion. Management benefits from network observability, tangible quality indicators, and the ability to perform predictive analysis on the visual data and metadata collected. Leading operators, infrastructure owners and network integrators including Bouygues Telecom, Sogetrel and Swisscom use Deepomatic to connect subscribers more reliably, lower the cost of compliance, improve quality of experience and drive long-term infrastructure ROI. Through its products, the company allows operational managers to create custom AI solutions and operate them at scale in as little as three months and without prior coding knowledge.

To date, Deepomatic has raised an impressive $11.7 million in funding over nine rounds.

3. Inxpect

Inxpect invents, designs, manufactures, and distributes radar-based smart sensors, primarily for the industrial automation and robotics markets. Inxpect’s LBK System was the first and is still the only safety-rated radar for industrial use in the world. It licenses its technology for other markets as well, including the security and building automation ones.

A Brescia, Italy-based startup, Inxpect was founded in 2016 by Luca Salgarelli and Marino Piotti and has raised a total of €22 million in funding over two rounds

4. SentiOne

Another Polish startup, SentiOne was founded in 2011 by Bartosz Bazinski, Kamil Bargiel and Michal Brzezicki and provides a conversational AI platform.

It has developed this technology providing state-of-the-art customer service automation based on social listening and data analytics. SentiOne’s natural language understanding engine combined with a simple interface allows building conversational chatbots without IT team involvement. Using the AI-powered multi-channel solution helps to automate customer management processes easier than ever before.

Working with over 350 brands on 30+ markets including Procter&Gamble, McDonald’s, Nike, Unilever, Beiersdorf, Tesco, Starcom, Mindshare, Mediacom or Saatchi&Saatchi, the Gdansk-based company has raised a total of $4.1 million in funding over three rounds since its founding.

5. Targomo

Based in Postdam, Germany and founded in 2013 by Henning Hollburg and Marc Hildebrandt, Targomo combines location analytics with AI to help organizations gain a competitive advantage in fast-moving markets.

Targomo’s cutting-edge location intelligence solutions convert complex geospatial research into actionable insights: to optimize retail networks and predict performance; to deliver better public services by predicting the impact of network and demographic changes; to improve real estate search by offering properties that match the customers’ individual needs; to calculate the fastest route for logistics companies and cut delivery costs and time. Its signature product, TargomoLOOP collects, manages, and enriches location data with other relevant data sources to provide a holistic view of entire location networks and visualize them. AI-powered analytics correlate individual data points and uncover complex interdependencies to provide valuable insights and forecasts. Advanced gravitational models visualize the dynamics of catchment areas to predict revenue streams and react to competitor behaviour.

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