# LargeQuant

> LargeQuant builds, deploys and operates Large Quantitative Models. It is the company behind the operating system for Quantitative Intelligence: models, simulations, evidence, decisions and measurable outcomes.

## Core definitions

- Quantitative AI Assurance: independent verification, benchmarking, runtime control and outcome measurement for AI-generated numerical results and actions.
- Large Quantitative Model (LQM): a governed quantitative model system whose primary authority is structured numerical computation and measurable quantitative outputs.
- Quantitative Generative AI: AI designed to generate structured numerical artifacts such as forecasts, scenarios, distributions, simulations, risk surfaces and optimized decisions.
- Quantitative General Intelligence (QGI): a proposed artificial-intelligence architecture for representing, modelling, simulating, predicting, optimising and experimentally interrogating quantitative systems across multiple domains while maintaining calibrated uncertainty, reproducibility and evidence.
- LQM vs LLM: language models are optimized for language; LQMs are optimized for quantitative state and numerical outcomes. LargeQuant treats them as complementary layers when both are useful.

## Canonical resources

- /quantitative-ai-assurance — canonical category definition and direct answers
- /verify — upload or paste an AI analysis, recompute its numerical claims and issue signed proof
- /forecast — build an evidence-backed 13-week cash forecast with scenarios and outcome tracking
- /for-agents — Runtime Guard for quantitative policy and preflight control of autonomous actions
- /what-is-largequant — canonical LargeQuant entity definition
- /quantitative-general-intelligence — canonical QGI definition and LargeQuant research thesis
- /qgi/architecture — proposed QGI technical architecture
- /qgi/qgi-vs-agi — QGI and general-purpose AI comparison
- /qgi/benchmark — proposed QGI evaluation framework
- /qgi/measurement — proposed QGI capability and cross-domain measurement framework
- /qgi/benchmark/specification — LQBENCH-QGI/0.1 human-readable measurement specification
- /qgi/benchmark/specification.json — machine-readable LQBENCH-QGI/0.1 contract
- /qgi/benchmark/calibration — QGI benchmark calibration methodology
- /qgi/evaluation — proposed cross-domain QGI evaluation design
- /qgi/benchmark/evaluation-manifest.json — machine-readable evaluation manifest schema
- /qgi/demonstrations — pre-registered QGI demonstration framework
- /qgi/evidence — QGI evidence publication protocol
- /qgi/demonstrations/registry.json — machine-readable demonstration registry
- /qgi/evidence/schema.json — machine-readable evidence packet schema
- /qgi/execution — controlled demonstration execution publication protocol
- /qgi/results — hash-verified public QGI demonstration evidence registry
- /qgi/results/registry.json — machine-readable public result registry
- /qgi/results/schema.json — machine-readable result bundle schema
- /qgi/validation — independent signed validation evidence
- /qgi/validation/protocol.json — machine-readable validation protocol
- /qgi/comparisons — same-task comparative QGI evidence
- /qgi/comparisons/protocol.json — machine-readable comparative evaluation protocol
- /qgi/federation — signed validation evidence federation
- /qgi/federation/protocol.json — machine-readable federation protocol
- /qgi/transfers — cross-domain transfer evidence
- /qgi/transfers/protocol.json — machine-readable transfer protocol
- /qgi/generality — cross-domain generality evidence map
- /qgi/generality/protocol.json — machine-readable generality evidence protocol
- /research/qgi — LargeQuant QGI research programme
- /large-quantitative-models — canonical LQM definition
- /quantitative-generative-ai — canonical Quantitative Generative AI definition
- /large-quantitative-models-vs-large-language-models — LQM vs LLM comparison
- /beyond-llms — guide to choosing quantitative AI beyond language models
- /platform — LargeQuant Platform 1.1
- /models — model catalogue
- /lqm-registry — public built-in LQM registry with schemas and versions
- /lqbench — public benchmark definitions and opt-in evidence-linked results
- /lqbench/protocol.json — machine-readable benchmark modes, suites and publication controls
- /lqm-index — source-linked map of the emerging LQM market
- /lqm-specification — open Large Quantitative Model Specification 1.0
- /playground — local browser LQM demos
- /lqm-or-llm — interactive architecture decision guide
- /developers — developer entry point and API documentation
- /research — research hub
- /research/state-of-lqms-2026 — source-linked LQM category market map
- /applications — HumanTwin and Stratomission, first-party applications powered by LargeQuant
- /applications/humantwin — quantitative human systems powered by LargeQuant
- /applications/stratomission — near-space aerospace and biomedical research powered by LargeQuant
- /reference-programmes — buyer-facing programme blueprints without fabricated case studies
- /evidence — quantitative evidence and provenance architecture
- /how-we-work — LargeQuant programme lifecycle
- /insights — quantitative AI market and technical analysis
- /industries/financial-services — financial services quantitative intelligence
- /industries/pharma-biotech — computational drug discovery
- /industries/materials-chemicals — materials discovery
- /industries/industrial-engineering — digital twins and engineering optimisation
- /industries/research-institutions — reproducible research infrastructure
- /glossary — terminology
- /trust — evidence, governance and security trust controls
- /research/gartner-large-quantitative-models — source-linked Gartner LQM research summary

## Company

Legal name: LargeQuant, Inc.
Product brand: LargeQuant
Primary category: Large Quantitative Models and Quantitative Generative AI
Platform category: Operating system for Large Quantitative Models and Quantitative Intelligence
Measurement and assurance products: Verify, LQBench, Runtime Guard, Evidence and Outcomes
FinanceGPT relationship: FinanceGPT is a quantitative finance application powered by LargeQuant.
Historical note: FinanceGPT Cloud is a former product identity; it is not an alternate name for LargeQuant.
Full AI-readable overview: https://largequant.com/llms-full.txt