We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, and more.
This is an opportunity for builders and practitioners to help shape a deep-tech product from its earliest stage.
We're also looking for Domain Experts to collaborate on high-value use cases -- identifying and validating opportunities, shaping them into working solutions with our engineers, and taking them from pilot to production with real users. Practitioners with expertise in Valuation Models, Quantitative Default-Probability Models, or Interest Rate Prediction Models are particularly relevant right now.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, and more.
This is a chance to shape a new approach to knowledge representation from the ground up, working alongside a collaborative team driven to solve hard problems.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
This is an opportunity for senior engineers, product managers and operational leaders to join us, and contribute to shaping a deep-tech product from its earliest stage.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
This is an opportunity for senior engineers and product managers to join us, and contribute to shaping a deep-tech product from its earliest stage.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
This is an opportunity for senior engineers and product managers to join us and help shape a deep-tech product from its earliest stage.
We're currently seeking talented individuals for the following openings:
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
This is a rare opportunity for senior engineers and product managers to join us at a pivotal moment and shape a deep-tech product from its earliest stage:
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
Ready to push the frontier of automated structured reasoning? Check out our current openings for:
Ready to push the frontier of automated structured reasoning?
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
PlantingSpace | Full-time | Remote (EU time zone) with quarterly meet-ups | https://planting.space
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
We’re building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. Our approach differs from LLMs in that we compose algorithms symbolically to represent complex knowledge, and perform probabilistic computations. This enables the AI-driven application of statistical models to different problems, while providing the user with a verifiable reasoning path, and an assessment of the uncertainty in each answer. We are developing applications for analysis and research in domains such as Finance, Strategy Consulting, Engineering, and more.
This is an opportunity for builders and practitioners to help shape a deep-tech product from its earliest stage.
Spotlight roles:
* Engineering Lead
* Product Software Engineering (Quantitative Modeling)
Ongoing hiring:
* Bayesian Software Engineering
* Program Synthesis Engineering
We're also looking for Domain Experts to collaborate on high-value use cases -- identifying and validating opportunities, shaping them into working solutions with our engineers, and taking them from pilot to production with real users. Practitioners with expertise in Valuation Models, Quantitative Default-Probability Models, or Interest Rate Prediction Models are particularly relevant right now.
Find out more, and apply at: https://planting.space/joinus/
Questions? Get in touch: talent@planting.space