Company

PlantingSpace

Finance and Scientific Research

We’re building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics.

Website

Quick Decision

Tracked roles

38

Remote share

100%

Visa mentioned

0%

Salary coverage

0%

Role level mix

unknown · 27senior · 11

Open & recent roles

Showing 38

Last updated: 2026-07-01

Coverage: 38 structured HN listings across 8 months. Enrichment: basic.

Source: HN · confidence high. Signals are derived from public posts; verify details on the original thread and company career page.

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