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Quantitative human systems
HumanTwin
A human-systems digital-twin application connecting whole-body and specialist models to observations, uncertainty, evidence and reproducibility.
Explore HumanTwin →Canonical entity definition
What is LargeQuant?
LargeQuant is the operating system for quantitative intelligence and autonomous scientific discovery. It connects quantitative models, simulations, solvers, experiments, uncertainty, evidence, benchmarking and scientific provenance in one operating layer.
The category
LargeQuant operates the quantitative layer beneath material decisions.
Models
Statistical, machine-learning, physical, surrogate and domain models remain explicit numerical authorities.
Execution
Simulation, engineering solvers, HPC execution, laboratory-result ingestion and bounded quantitative automation.
Uncertainty
Calibration, uncertainty budgets, reliability criteria and decision thresholds remain part of the result.
Evidence
Dataset lineage, model identity, execution artifacts, reproducibility and benchmark evidence stay connected.
Scientific memory
Objectives, hypotheses, experiments, observations and evidence form a durable quantitative research record.
Decisions
LargeQuant is designed to connect measurable results to governed decisions and the next quantitative action.
Scientific operating loop
Objective → model → execute → evidence → uncertainty → decision → next experiment.
LargeQuant treats the quantitative lifecycle as one system rather than separating the numerical result from how it was produced, tested and governed.
01OBJECTIVEDefine what must be predicted, optimised, validated or discovered.
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02MODELSelect or build the quantitative authority.
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03EXECUTERun models, simulations, solvers, HPC or experiments.
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04EVIDENCEBind outputs to lineage, artifacts and provenance.
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05EVALUATEMeasure calibration, uncertainty and reliability.
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06DECIDETake a bounded decision and determine what happens next.
LargeQuant, LQMs and LLMs
The brand, the quantitative model and the language layer are different things.
First-party applications
The same LargeQuant operating layer can sit underneath very different quantitative systems.
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Near-space research
Stratomission
An aerospace and biomedical engineering research application connecting Earth and atmospheric data, payloads, test requests, missions and quantitative evidence.
Explore Stratomission →Proof and verification
LargeQuant is designed to make quantitative work inspectable.
LQBench
Benchmark definitions, evidence-linked results, institutional provenance and public benchmark publication.
Open LQBench →Evidence
Signed execution evidence, dataset lineage, reproducibility packs, artifacts and model identity.
Inspect evidence →Trust
Governance, production controls, security posture, observability and institutional verification.
Open Trust Center →FinanceGPT relationship
FinanceGPT is an application powered by LargeQuant — not another name for LargeQuant.
FinanceGPT Cloud is a former product identity in LargeQuant's history. The canonical company and platform identity is LargeQuant. FinanceGPT represents quantitative-finance applications and model families that can run on the LargeQuant operating layer.
CANONICAL BRANDLargeQuant
LEGAL NAMELargeQuant, Inc.
PRIMARY CATEGORYQuantitative intelligence & scientific operating infrastructure
CANONICAL WEBSITElargequant.com
Build on LargeQuant
Bring a quantitative system, model, solver or scientific workflow.
LargeQuant provides the operating layer around numerical execution, uncertainty, evidence, benchmarks and governed decisions.
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