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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Lightcone Research

    Lightcone Research

    AI-assisted science with rigor at its core, building open-source infrastructure for reproducible, inspectable, and legible computational research.

    Visit Website

    At a Glance

    1Tool Listed
    2Products
    9Tool Views
    5Capabilities
    Discussions
    Berkeley, CaliforniaHeadquarters
    2025Est.
    6Employees
    Focus Areas
    Academic Research
    Agent Frameworks
    Documentation
    Connect
    Latest News
    AAI4Science Developer SummitJul 28, 2026
    Publication of Perspective Paper: 'Science that Compounds'May 14, 2026
    Markets
    • Academic Institutions
    • Commercial R&D Labs
    • Individual Scientific Researchers

    AI Tools by Lightcone Research

    (1)
    View ASTRA
    ASTRA tool icon

    ASTRA

    YAML Spec for Scientific Analysis

    Academic ResearchAgent FrameworksDocumentation

    Discussions

    No discussions yet

    Be the first to start a discussion about Lightcone Research

    Latest News

    07/28/2026

    AAI4Science Developer Summit

    lightconeresearch.org
    05/14/2026

    Publication of Perspective Paper: 'Science that Compounds'

    zenodo.org
    05/14/2026

    François Lanusse presents BiDMAP Seminar at UC Berkeley

    lightconeresearch.org
    10/01/2025

    AION-1 Presented at NeurIPS 2025

    arxiv.org

    Products & Services

    2
    ASTRA (Agentic Schema for Transparent Research Analysis)
    2026

    An open-source specification and YAML schema for scientific research records that declares inputs, outputs, and methodological choices.

    Lightcone CLI (lc)
    2026

    An open-source command-line toolchain that serves as an agentic execution layer for ASTRA, providing built-in provenance and materialized results.

    Market Position

    Positioned as a standard-setter for scientific rigor in the age of AI agents, providing a verifiable computational layer.

    Leadership

    Founders

    FL

    François Lanusse

    Senior CNRS researcher at the CosmoStat Laboratory. Lead at CNRS's AI for Science center. Background in deep learning, statistical modeling, and observational cosmology. Lead author of AstroCLIP and AION-1.

    LP

    Liam Parker

    Physics Ph.D. student at UC Berkeley and NSF Graduate Research Fellow. Researcher at BIDS focusing on cross-modal foundation models. Lead on AION-1 and AstroCLIP.

    Executive Team

    FL

    François Lanusse

    Project Lead / CNRS Researcher

    Cosmology and Machine Learning researcher at CNRS.

    LP

    Liam Parker

    Project Lead / UC Berkeley Researcher

    Astrophysics and AI researcher at UC Berkeley.

    Board of Directors

    US
    Uroš Seljak
    Advisor (UC Berkeley Professor)
    FP
    Fernando Pérez
    Advisor (UC Berkeley Professor, IPython/Jupyter creator)
    KC
    Kyle Cranmer
    Advisor (UW-Madison, Director of American Family Insurance Data Science Institute)

    Founding Story

    Founded by scientists at UC Berkeley and CNRS to bridge the gap between AI-driven scientific output and the rigor required for scientific vetting and reproduction.

    Business Model

    Revenue Model

    Institutional/Grant-funded non-profit academic initiative supported by UC Berkeley and CNRS.

    Pricing Tiers

    Open Source
    Free

    All tools (ASTRA, CLI) are licensed under BSD-3-Clause for academic and commercial use.

    Not public

    Target Markets

    Industries & Segments
    • Academic Institutions
    • Commercial R&D Labs
    • Individual Scientific Researchers
    Use Cases
    • AI-assisted astronomical research
    • Reproducible computational discovery
    • Standardizing scientific agent outputs
    • Large-scale astronomical data analysis
    Notable Customers
    • UC Berkeley
    • CNRS
    • CEA
    • University of Toronto

    Quick Facts

    Headquarters
    Berkeley, California
    Founded
    2025
    Entity Type
    International Academic Consortium / Research Initiative
    Employees
    6
    Total Funding
    Grant/Institutional Funding (UC Berkeley, CNRS)
    Investors
    Berkeley Institute for Data Science (BIDS), CNRS
    Office Locations
    Berkeley
    Paris

    Funding History

    Philanthropic Grant$5,000,000
    2022
    N/A valuation
    FTX/Alameda Research (Disputed/Subject to litigation)
    Community Fundraiser$2,100,000
    January 2025
    N/A valuation
    Community Donors
    Research Grant$378,000
    2025
    N/A valuation
    Survival and Flourishing Fund (SFF)

    History & Milestones

    May 14, 2026

    Publication of the core Lightcone Research perspective paper 'Science that Compounds' on Zenodo.

    July 28-31, 2026

    Inaugural AAI4Science Developer Summit at the AI Futures Lab in Berkeley.

    October 2025

    AION-1 omnimodal foundation model presentation at NeurIPS 2025.

    July 2024

    AstroCLIP publication: First cross-modal self-supervised model for astronomical images and spectra.

    December 2024

    Launch of the Multimodal Universe dataset (100TB of astronomical data).

    Key Capabilities

    5
    Provenance tracking
    Observability by construction
    Scientific legibility
    Deterministic workflow execution
    Cross-modal scientific foundation models

    Integrations & Partnerships

    Platform Integrations

    • GitHub
    • Zenodo
    • BIDS AI Futures Lab

    Key Partnerships

    BIDS
    CNRS
    CEA

    Connect

    Website
    lightconeresearch.org
    GitHub
    LightconeResearch

    AI Topics

    3

    Lightcone Research focuses on these topics:

    Academic Research(1)
    Agent Frameworks(1)
    Documentation(1)
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