Proofline · About

Building the Infrastructurefor Scientific Reasoning

Scientific discovery depends on more than papers and datasets. It depends on the reasoning behind every experiment, every decision, and every breakthrough. Proofline exists to preserve that reasoning so knowledge compounds instead of disappearing.

  • Evidence

    A Question Worth Answering

  • A project timeline with a hypothesis card, linked tickets and a marker for today
    Evidence

    Evidence That Supports It

  • A reasoning map: research papers and the rulebook feeding a synthesis, with its foundations and building blocks
    Synthesis

    Reasoning That Survives

Why we exist

The way scientific knowledge is created has changed. The infrastructure supporting it hasn't.

Researchers now work across AI conversations, papers, documents, meetings, emails, notebooks, and collaborative tools.

The reasoning behind discoveries is scattered across these environments and is rarely preserved.

Proofline was created to become the system of record for scientific reasoning, capturing not only discoveries, but the thinking that produced them.

Software Engineering Has Git.Scientific Reasoning Didn't.

Mental model

Software Engineering

  1. Git
  2. Version Control
  3. Commits
  4. Branches
  5. Merge
  6. Repository

Scientific Knowledge

  1. Proofline
  2. Reasoning History
  3. Knowledge Cards
  4. Research Paths
  5. Synthesized Knowledge
  6. Living Knowledge Graph

Proofline brings version control to scientific reasoning.

Our vision

Every discovery should become the starting point for the next.

Knowledge should compound. Reasoning should persist. Every experiment should strengthen institutional memory instead of disappearing over time.

Role card: Scientific Knowledge Engineer, Research Infrastructure & AI. Global, full-time, mid-senior.
Role card: Research Reasoning Specialist, Scientific Intelligence & Knowledge Systems. Cambridge, UK, full-time, senior.
Role card: Scientific Data Architect, Life Sciences & Research Technology. Remote, full-time, senior.
Role card: AI Research Systems Engineer, Artificial Intelligence & Scientific Computing. Remote, full-time, senior.

TEAM

Meet the Team

Proofline is built by researchers, engineers, and AI leaders with decades of experience across scientific research, cloud infrastructure, and artificial intelligence.

  • Astitva Chopra, Chief Architect & CEO

    Astitva Chopra

    Chief Architect & CEO

    Former Program Lead, AI for Science, Google Cloud. Former Head of Solutions for Scientific Computing, Google Cloud.

  • Prof. Akshay Rao, Chief Scientist

    Prof. Akshay Rao

    Chief Scientist

    Professor of Physics, University of Cambridge. Founder, Cambridge Photon Technology (Illumion).

  • Prof. James Fergusson, Scientific Advisor

    Prof. James Fergusson

    Scientific Advisor

    Professor of Theoretical Cosmology. Executive Director of the Data Intensive Science Programmes. Director of the Infosys Cambridge AI Centre.

  • Mukesh Bansal, Advisor

    Mukesh Bansal

    Advisor

    Founder of Myntra. Founder of Cult.fit. Founder of Nurix AI.

Collaborators

Built With Leading Research Organizations

Proofline is being developed alongside researchers and organizations working at the forefront of science, healthcare, AI, and cloud computing.

  • Philips Healthcare
  • NAIRR
  • University of Cambridge
  • CSIRO
  • Internet2
  • Shiv Nadar University
  • Cancer Research UK
  • BLU by ThriveWell

Principles

Our Principles

  • Knowledge Should Compound

    Every discovery should strengthen future work.

  • Reasoning Matters

    Understanding how a conclusion was reached is as important as the conclusion itself.

  • AI Needs Context

    Persistent context creates better scientific reasoning.

  • Science Is Collaborative

    Knowledge should survive people, projects, and time.

The future of scientific discovery belongs to organizations that preserve not only discoveries, but the reasoning behind them.

The future of scientific discovery belongs to organizations that preserve not only discoveries, but the reasoning behind them.

  • Careers

    Join Our Team

    Help build the infrastructure for scientific discovery.

    View Careers