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Novaflow (YC S25) Tech Stack

AI-powered data analysis platform for biology labs

Technology, Information and Internet San Francisco, CA 2–10 employees Founded 2025 Privately Held

Novaflow automates bioinformatics and life-science data analysis, compressing multi-week projects into days while cutting costs. The stack—Python, R, Nextflow, Snakemake, WDL, plus React/TypeScript frontend on AWS/GCP—reflects a research-grade computational platform. Hiring skews engineering-heavy with focus on API reliability, pipeline architecture, and cloud infrastructure, signaling early-stage prioritization of platform stability and scalability over feature breadth.

Tech Stack 15 technologies

Core StackPython TypeScript React PostgreSQL AWS Go Node.js Terraform Docker Kubernetes R GCP Nextflow Snakemake WDL

What Novaflow (YC S25) Is Building

◆Challenges

Improving reliability of data infrastructure
Bridging gap between researchers and technology
Performance and scalability of data-heavy workflows
Reducing outsourcing of bioinformatics services
Scaling tooling and automation
Making analysis more accessible
Enabling real-time data analysis
Scaling data-heavy workflows

▲Active Projects

Clean, reliable apis for data processing and visualization
Sequence analysis pipelines
Data infrastructure reliability
User-facing features across the stack
Tooling and automation scaling
Api backend services development
Cloud infrastructure design and management
Data pipeline integrations
Dashboards and visualizations for scientists

Hiring Activity

Steady6 roles · 2 in 30d

Department

Engineering

5

Data

1

Seniority

Mid

5

Senior

1

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About Novaflow (YC S25)

Novaflow builds an AI data analyst for biology and life-science researchers, automating the bioinformatics workflows that typically require specialized expertise and weeks of manual work. The platform ingests raw experimental data and outputs publication-ready visualizations and analyses—addressing a structural cost and bottleneck in wet-lab science where bioinformaticians are scarce and expensive. Active development spans API design, sequence-analysis pipelines, cloud infrastructure, and data-pipeline integrations, with particular focus on making analysis workflows accessible to researchers without deep coding backgrounds.

HeadquartersSan Francisco, CA

Company Size2–10 employees

Founded2025

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Novaflow use?

Novaflow uses Python, R, TypeScript, React, PostgreSQL, AWS, GCP, Nextflow, Snakemake, WDL, Go, Node.js, Terraform, Docker, and Kubernetes—combining bioinformatics standards (Nextflow, Snakemake, WDL) with modern cloud infrastructure and web-frontend tooling.

What is Novaflow working on?

Core projects include clean, reliable APIs for data processing; sequence-analysis pipelines; data-infrastructure reliability; cloud infrastructure design; and dashboards for scientists. Pain points center on scaling data-heavy workflows and improving researcher accessibility.

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