German-Canadian Centre for Innovation and Research (GCCIR)

Seeking European partners to co-develop Tesera’s SaaS landscape auto-classification machine learning solution “High Resolution Inventory Solutions (HRIS)”

Posted by German-Canadian Centre for Innovation and Research (GCCIR)Responsive · Partners for Consortium · Funding Available : € 500.000
Entity offering the Program : GCCIR/ACCIO Link to the Program
· Deadline at 28/11/2019 · Canada

Desired outcome

As a participant of the upcoming symposium “2nd GCCIR Matchmaking Symposium” organized by Innoget and GCCIR next November 25th, 2019 in Barcelona (Spain), the company Tesera Systems Inc. is seeking European partners to meet at the Barcelona event to develop a joint collaboration project.

Tesera is specifically interested in European R&D and industry partners to export and/or further co-develop the company’s SaaS landscape auto-classification machine learning solution HRIS. Further details are described below.

In case you are interested in meeting Tesera Systems Inc. in Barcelona to discuss a potential collaboration, please register for free to the symposium clicking the “Register to the symposium” button above.

German-Canadian Centre for Innovation and Research (GCCIR)

Details of the Technology Call

Tesera Systems Inc. is an employee-owned remote company. Since 1997, the company has delivered over 500 geomatics solutions that leverage data analytics, machine learning, cloud and web/mobile. In 2017, Tesera launched the SaaS High Resolution Inventory Solutions (HRIS) product and have secured paying industry clients in BC and Brazil. Tesera has bootstrapped HRIS $8M to date and has secured a $1M Series A investment to scale its next stage of product and market development.

Tesera’s HRIS is a landscape auto-classification machine learning solution hosted in the cloud that has a global application and can be applied across multiple sectors. With decades of experience in the forestry supply chain, the company sells this technology initially in forestry and exploring application in energy and agriculture.

HRIS uses a combination of remote sensing, ground sampling, along with terrain and climate data as inputs to the company’s machine learning platform allowing it to accurately and reliably estimate landscape attributes (e.g. tree species, streams, site productivity, etc.) and then deliver additional value layered on top of the inventory data. Delivery and access to this inventory and value-add products are via a SaaS web viewer.

The company’s landscape inventory product has multi-sector application (forestry, agriculture, energy) and global application. Therefore, Tesera is looking to export its SaaS technology solution and are looking for organizations that can provide complementary components to its technology for future R&D.

Preferences / Requirements for Potential European Partner(s)

The following is the experience and expertise Tesera Systems Inc. is looking for in a European partner:

  • Remote sensing
  • Satellite data processing (Radar/optical)
  • Optical imagery to LiDAR
  • Landscape auto-classification using machine learning
  • Geomatics cloud processing at scale using AWS, FME
  • Forestry and forest inventory
  • Forest valuation
  • Fire management
  • Carbon and biomass inventory
  • Utility corridor vegetation management

Related keywords

  • Electronics, IT and Telecomms
  • Information Processing, Information System, Workflow Management
  • Artificial Intelligence (AI)
  • Data Processing / Data Interchange, Middleware
  • Imaging, Image Processing, Pattern Recognition
  • Environmental and Biometrics Sensors, Actuators
  • GIS Geographical Information Systems
  • SatelliteTechnology/Systems/Positioning/Communication in GPS - Global Positioning System
  • Optical Networks and Systems
  • Industrial Technologies
  • Optics
  • Agriculture and Marine Resources
  • Sylviculture, Forestry, Forest technology
  • Forest technology
  • Sylviculture, Forestry
  • Sensor Technology related to measurements
  • Protecting Man and Environment
  • Environment
  • Environmental Engineering / Technology
  • Remote sensing technology
  • Satellite ground (and others) equipment
  • Data processing, analysis and input services
  • Industrial measurement and sensing equipment
  • machine learning
  • geomatics
  • forest valuation
  • optical imagery
  • landscape classification

About German-Canadian Centre for Innovation and Research (GCCIR)

Economic Promotion Agency from Canada

The German-Canadian Centre for Innovation and Research (GCCIR) is a multilateral initiative for the development of German-Canadian, and more broadly European-Canadian, research and business relations. It is based in Edmonton, Alberta and is located in the TEC Edmonton Business Incubator. The Centre provides support for the exchange of information, development of networks, and the establishment and cultivation of collaborative partnerships in academia, business, and industry.

The GCCIR, along with Innoget, is the co-organizer of the GCCIR Matchmaking Symposium in Barcelona, to be held on November 19, 2018 in Barcelona (Spain). With the support of the Centre for the Development of Industrial Technology (CDTI) and ACCIÓ, the Agency for Business Competitiveness of Catalonia, the symposium is a unique opportunity for all Spanish organizations to connect with Albertan partners to jointly develop R&D projects eligible to receive funding under the Alberta-Europe Technology Collaboration Fund as well as other funding programs to be presented during the event.

From the Alberta side, roughly 15 to 20 Albertan SMEs (small-to-medium sized enterprises) will participate in the symposium for the purpose of meeting potential R&D partners based in Spain. Furthermore, during the event, the German-Canadian Centre for Research (GCCIR), the Centre for the Development of Industrial Technology (CDTI) and ACCIÓ will present the available funding programs that both Spanish and Albertan partners could apply to fund the resulting projects related to the industrial sectors below:

Nanotechnology // Geospatial // Drones // Cleantech // Health and e-Health // ICT // IOT // Materials // Energy

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