Enter assignee name

EPO Patents = 4

Trademarks = 3

Forward Citations = 4

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18 inventors (with patents filed for the assignee):

Peter John Wigley (6 out of 19 patents)

Caroline Elizabeth George (5 out of 13 patents)

Graham Hymus (4 out of 5 patents)

4. Susan Jane Turner (4 out of 14 patents)

5. Kelly Roberts (2 out of 3 patents)

6. Kelvin Lau (2 out of 3 patents)

7. Thomas J Williams (2 out of 14 patents)

8. Debora Wilk (1 out of 18 patents)

9. Damian Wright (1 out of 1 patent)

10. Hong Zhu (1 out of 4 patents)

11. Susan Turner (1 out of 1 patent)

12. Thomas Williams (1 out of 1 patent)

13. Abhishek Patri (1 out of 1 patent)

14. Jorge Santiago-ortiz (1 out of 1 patent)

15. Kelly Roberts (1 out of 1 patent)

7 patents: Sort by Forward Citations

1. 12467047 - Accelerated directed evolution of microbial consortia for the development of desirable plant phenotypic traits (2025-11-11),

2. 12408672 - Agriculturally beneficial microbes, microbial compositions, and consortia (2025-09-09),

3. 12102090 - Agriculturally beneficial microbes, microbial compositions, and consortia (2024-10-01),

4. 11871752 - Agriculturally beneficial microbes, microbial compositions, and consortia (2024-01-16),

5. 11866698 - Accelerated directed evolution of microbial consortia for the development of desirable plant phenotypic traits (2024-01-09),

6. 11466266 - Accelerated directed evolution of microbial consortia for the development of desirable plant phenotypic traits (2022-10-11),

7. 11102981 - Agriculturally beneficial microbes, microbial compositions, and consortia (2021-08-31),

Bioconsortia is an agricultural biotechnology company that develops microbiome solutions for crop improvement. Their proprietary technology leverages beneficial microbes to enhance plant health, productivity, and sustainability. By harnessing the power of microbial diversity, Bioconsortia is revolutionizing agriculture with innovative biopesticides, biofertilizers, and bio-stimulants.

This text is generated by artificial intelligence and may not be accurate.