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Communication and publishing tools for scientists
At Curvenote we are building the communication and publishing tools for scientists and engineers. In the future, every scientific report will feature interactive graphs with live data that will make it significantly easier to share and reproduce the work.
Curvenote provides a Scientific Content Management System (SCMS) that enables modular, interactive scientific content creation, management, and publication with built-in provenance and integrations to existing tools. It aims to modernize research workflows by making data, methods, and results reusable, discoverable, and citable across projects and publications.
The platform organizes research into modular components (data, methods, figures, code, etc.) that can be reused across projects. It supports web-first collaboration, interactive and connected publishing, and provenance tracking. It includes integrations with existing tools, supports open access and metadata standards, and offers features for audit-ready compliance, linked discoverable figures, and re-typesetting when updates occur. Pricing emphasizes an annual flat fee covering all content with no per-article costs, and the system supports open-access, overlay, and continuous publication models.
Who it’s for: Researchers, labs, and institutions seeking modular, interactive publishing workflows; teams that want connected, citable research components and open-access compliant publishing pipelines.
Pricing page indicates a bundled annual subscription model; product emphasizes institutional deployment, integrations, and compliance, suggesting commercialization and enterprise adoption signals.
I started and sold my previous web-based 3d visualization startup while I was finishing my PhD in computational geophysics. I then ran the cloud team at Seequent ($1.05B exit, 2021). I am interested in the intersection of education, industry, and research, and am on a mission to make powerful scientific data, visualization and communication tools accessible through the web. Curvenote is part of my mission to reimagine collective knowledge creation for modern science.
An engineer with 20+ years industry experience building software for scientists and engineers. Deep technical expertise in computer vision, data science and machine learning. Led product development and R&D teams and managed multi-year R&D projects with Oil & Gas majors. In 2013, he founded a consultancy and leading distributed technical teams in both startups and enterprise in energy, healthcare, finance and electronic manufacturing. Founding member of an open geoscience society.
Formerly “iooxa” · why startups rename →
A better data science notebook.
The collaborative data platform.
