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    Holaxis

    Where intelligence becomes infrastructure.

    We build systems that allow people and AI agents to solve complex, long-horizon problems together. Proven first in science, our approach turns expert judgment and machine speed and scale into reproducible, auditable progress.

    What We Do

    Reproducible results. Radically faster.

    Holaxis builds cognitive ecosystems for work that is too complex for a single model, tool, or person. We connect domain experts, AI agents, data, and deterministic workflows in systems that preserve the evidence behind every result. Using our distinctive approach to AI, teams can move faster without trading away rigor, ownership, or trust.

    Not a black box. Capability that compounds.

    How We Do It

    A different approach to AI.

    Models are powerful reasoners, but durable progress lives in the system around them. We create infrastructure where people and agents work through shared domain models, evidence, and reusable deterministic workflows. Each verified improvement becomes a stable foundation for the next, so the system gains capability instead of producing isolated outputs.

    Experts remain the source of judgment. Our systems help that judgment go further, faster.

    The proof

    64 new exoplanets statistically validated.By our count, one of the largest studies of TESS data.

    A 41-author team from NASA, Caltech/IPAC, MIT, and other institutions completed a largely automated validation study with conservative expert review.

    Accepted for publication The Astronomical Journal

    80

    Statistically validated planets

    64

    Newly validated planets

    41

    Contributing authors

    What it demonstrates

    Expert judgment and agent-scale execution can work as one auditable system.

    Build With Us

    Bring us the problems that outlast a single model.

    We work with teams tackling complex, long-horizon problems where people, AI agents, and domain knowledge must stay aligned. If the work demands durable context, reproducible decisions, and progress that compounds, we should talk.

    Work spanning multiple people and agents
    Domain knowledge that needs to become operational
    Progress that must remain reproducible and auditable