
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.
🕒 May 20
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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.
• Manage the development roadmap: Own the roadmap from a process perspective, working with leadership as well as individual contributors, to identify interdependencies, and adapt to shifts in priorities and timelines. • Lead quarterly planning: Drive the planning process, initiate and prepare reviews; identify potential goal owners early and provide support and guidance to ensure good planning and risk management across the team. • Steer features from idea to implementation: Coordinate work across multiple topics; when a new feature idea comes up, ensure it progresses from product specification, design, and prioritisation, through to implementation, bridging gaps between different technical and product areas. • Maintain technical documentation and tooling: Take ownership of the processes and documentation used across the company, reviewing frequently and coordinating updates and improvements. • Facilitate communication: Be a responsive point of contact across our channels, connecting team members with the right information and resources. • Stay hands-on: Contribute directly to high-priority development tasks and automations.
• Software engineering in a collaborative, commercial environment, working on large codebases and using practices like CI/CD, testing, and code reviews. • Functional/typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell, and a willingness to learn and work with Julia. • Implementation of pragmatic organisational processes. • Background in Technical Product Management, working with complex technical systems. • Coordination of workflows and coaching or mentoring team members.
• Our team works fully remotely, and mostly within the CET timezone.
Apply Now🕒 May 20
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