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Company profile

Edison Scientific Tech Stack

AI scientist platform automating discovery across the R&D lifecycle

Artificial Intelligence San Francisco, California 51–200 employees Founded 2025 Privately Held
edisonscientific.com LinkedIn

Edison Scientific builds an AI scientist agent that works alongside research teams from discovery through regulatory approval. Its stack pairs model-training tooling (PyTorch, JAX, Megatron-LM, Ray) with multi-cloud infrastructure across AWS, GCP and Azure, consistent with bring-your-own-cloud deployments into enterprise R&D environments. Senior-heavy engineering hiring runs alongside an early commercial build-out, and Okta and DLP adoption point to enterprise security readiness.

Tech Stack 50 technologies

Core StackPyTorch Python TypeScript JavaScript RAG Node.js FastAPI GraphQL React Next.js PostgreSQL MySQL MongoDB AWS Docker Kubernetes Prometheus Grafana Datadog Terraform Pulumi Crossplane JAX Ray Megatron-LM GCP Azure WebSockets D3.js Deck.gl+19 more
AdoptingOkta DLP

What Edison Scientific Is BuildingChallenges and projects from their job posts

◆Challenges

  • Improving AI agent performance
  • Building and scaling commercial function from scratch
  • Complex multi-stakeholder sales cycles
  • Resilient orchestration for long-running compute workloads
  • Complexity of bring-your-own-cloud deployments
  • Regulatory compliance of AI-generated protocols

▲Active Projects

  • AI scientist platform automating scientific discovery
  • Reusable agent skills and tool-use pipelines
  • Data pipelines for AI agents
  • Experiment platform development
  • Benchmarking framework for AI applications
  • Monitoring and observability system

Hiring Activity

Accelerating50 roles · 20 in 30d

Department

Engineering
24
Sales
6
Operations
3
Other
3
Research
3
Data
2
Healthcare
2
Finance
1

Seniority

Senior
30
Mid
6
Principal
4
Junior
3
Lead
3
Manager
2
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About Edison Scientific

Edison Scientific is a San Francisco-based company founded in 2025 as a spinout from the nonprofit research lab FutureHouse. It develops Kosmos, an AI scientist that uses an organization's proprietary data and internal context to support complex research decisions. The platform targets scientific R&D organizations, including those working toward FDA approval. The company has 51–200 employees and currently hires only in the United States, mainly in engineering, with smaller research, data, healthcare and sales functions.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2025
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Edison Scientific use?

Edison Scientific uses PyTorch, JAX, Ray and Megatron-LM for AI, Python, FastAPI, TypeScript and Next.js for application development, PostgreSQL and MongoDB for data, and AWS, GCP, Azure, Kubernetes and Terraform for infrastructure.

What is Edison Scientific working on?

Edison Scientific is building a core platform that automates scientific discovery. Related work includes development of its AI scientist agent, data pipelines for agents, tool-use pipelines, an experiment platform and a benchmarking framework.

Is Edison Scientific hiring engineers?

Yes. Engineering is Edison Scientific's largest hiring area, and most open roles are senior-level. Hiring is accelerating, all in the United States, with additional openings in sales, research and operations.

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How this profile is built

Edison Scientific's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.