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Jua Tech Stack

Deep-learning weather models for energy market decisions

Technology, Information and Internet Zurich, Zurich 11–50 employees Founded 2022 Privately Held

Jua builds AI-powered weather forecasting models trained on petabytes of raw data, targeting energy traders and market participants. The tech stack—Python, Rust, Pandas, Polars, GCP, AWS, plus visualization tools (Mapbox, Deck.gl, Plotly)—reflects a data-science-first organization with heavy lifting in model inference and real-time APIs. Active projects span both the core AI platform (model launches, backend pipelines) and go-to-market infrastructure (sales playbook, API platform), while pain points cluster around model performance tuning and scaling the engineering team in a tight talent market.

Tech Stack 32 technologies

Core StackHubSpot Figma TypeScript React Tailwind CSS Python FastAPI gRPC Rust Pandas AWS Cloudflare Pulumi Dagster Canva Cursor PostHog ECharts Three.js Mapbox Plotly Deck.gl WebSockets Zarr Polars GCP CapCut

What Jua Is Building

Challenges

  • Improving model performance
  • Scaling engineering teams
  • Competitive talent market
  • Tight hiring timelines
  • High-velocity, smaller-ticket deals
  • Fast-paced, high-pressure environments
  • Time-critical expert workflows
  • Complex functionality into simple tools
  • Operational gaps
  • Fast decision cycles

Active Projects

  • Customer onboarding and integration
  • Sales playbook refinement
  • Go-to-market strategy
  • Backend pipelines
  • Ai-driven weather platform
  • Modular figma design system
  • Dashboards and operating systems
  • Model launches
  • Developer-focused api platform
  • Ai-native decision support product

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Sales
3
Engineering
2
HR
2
Data
1
Design
1
Executive
1
Marketing
1
Support
1

Seniority

Senior
6
Lead
2
Manager
2
Intern
1
Mid
1

Notable leadership hires: Chief of Staff

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About Jua

Jua is a frontier AI lab founded in 2022 and headquartered in Zurich, developing foundation world models for weather and climate forecasting optimized for energy trading use cases. The company trains deep-learning models on massive datasets to deliver weather predictions that feed into energy market operations and strategic decision-making. Their product surface includes both an API-first developer platform and dashboards for traders and operators. With 11–50 employees split across engineering, data, sales, and design, Jua operates as a research-driven startup balancing model research velocity with commercial traction in a high-stakes, fast-moving market.

HeadquartersZurich, Zurich
Company Size11–50 employees
Founded2022
Hiring MarketsSwitzerland, United Kingdom

Frequently Asked Questions

What tech stack does Jua use?

Python, Rust, Pandas, Polars, FastAPI, gRPC, GCP, AWS, Cloudflare, Dagster, and visualization libraries including Mapbox, Deck.gl, and Plotly. TypeScript and React power frontend components.

What is Jua working on?

Core work includes AI-driven weather platform development, model launches, and backend pipelines. Go-to-market initiatives span sales playbook refinement, a developer-focused API platform, and customer onboarding.

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