
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 Seed Round on 2021-11
Artificial Intelligence • SaaS • Enterprise
PlantingSpace is developing an advanced AI system that aims to represent knowledge and uncertainty to facilitate the discovery of insights and enable transparent problem-solving. The company is addressing the challenges of accessing and combining vast amounts of information spread across various mediums such as websites, databases, and scientific literature. Their system uses a probabilistic framework for reasoning and learning, making use of components like category theory, Bayesian statistics, and deep learning to improve the transparency and reliability of AI's reasoning capabilities. PlantingSpace's approach involves developing a universal language for representing heterogeneous information and employing a visual and natural language representation to make reasoning processes understandable. The company provides their AI services in various domains, acting as research assistants, analysts, or data scientists, and focuses on harnessing cutting-edge AI techniques to enhance analysis and problem-solving.
🕒 February 18
Where this job comes from
Posted on PlantingSpace's careers page, not through a job board
First seen by Remote Rocketship February 18
Still open on PlantingSpace's site. Checked 6 hours ago.

11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 Seed Round on 2021-11
Artificial Intelligence • SaaS • Enterprise
PlantingSpace is developing an advanced AI system that aims to represent knowledge and uncertainty to facilitate the discovery of insights and enable transparent problem-solving. The company is addressing the challenges of accessing and combining vast amounts of information spread across various mediums such as websites, databases, and scientific literature. Their system uses a probabilistic framework for reasoning and learning, making use of components like category theory, Bayesian statistics, and deep learning to improve the transparency and reliability of AI's reasoning capabilities. PlantingSpace's approach involves developing a universal language for representing heterogeneous information and employing a visual and natural language representation to make reasoning processes understandable. The company provides their AI services in various domains, acting as research assistants, analysts, or data scientists, and focuses on harnessing cutting-edge AI techniques to enhance analysis and problem-solving.
• We’re building an AI system for analysts and scientists based on a fundamentally new approach to reasoning and knowledge representation. • Our system composes algorithms symbolically to represent complex information through structured, probabilistic models. • This allows users to apply rigorous statistical modeling to challenging problems, while maintaining a fully verifiable reasoning path. • We are seeking domain experts to collaborate with us on developing high-value use cases that leverage our system’s unique capabilities. • Rather than acting as traditional consultants; we need builders and practitioners who are ready to integrate these solutions directly into pilot users’ workflows, drawing on their established industry networks to drive real-world adoption.
• Deep domain expertise — You are a current or former practitioner with hands-on experience solving complex problems in your field • Technical understanding — You possess a strong grasp of statistical modeling, enabling close collaboration with our engineers on developing solutions • Industry connections — You bring a network of relevant contacts, to identify and engage as pilot users
• Competitive per-diem rates and engagement via self-employment/contractor, billed via time tracking to PlantingSpace AG (a Swiss company). • Revenue Share: Opportunity to participate in gross profit sharing from successful use cases
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.