Your data.
Our engine.

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Upload HS3 or pyhf workspaces. Get CLs exclusion, profile scans, impact ranking, and toy-based limits — in milliseconds, not hours.

Accepts: HS3 / JSON pyhf workspace ROOT TRExFitter
CLs exclusion Profile likelihood scan Ranking / impacts Batch toys (CPU & GPU)
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880x faster | Cold start <1ms
6
Verticals
56+
API Endpoints
<1ms
Cold Start
880x
Faster

What's Inside

Six Verticals. One API.

Domain-specific statistical methods on a unified Rust compute engine. No stubs. Real math.

HEP / Particle Physics

HistFactory fits, profile likelihood scans, CLs exclusion, impact ranking. Full pyhf workspace compatibility.

HistFactoryProfile ScanCLsRanking

Pharma PK

Nonlinear mixed effects, visual predictive checks, goodness-of-fit, PK simulation. NONMEM-class accuracy.

NLMEVPCGoF2-Compartment

Econometrics

Panel fixed effects, difference-in-differences, event study, instrumental variables. Stata-class speed.

Panel FEDIDEvent StudyIV/2SLS

Survival Analysis

Kaplan-Meier curves, Cox proportional hazards, log-rank tests, accelerated failure time models.

Kaplan-MeierCox PHLog-RankAFT

Insurance / Actuarial

GLM claims modelling, Chain Ladder reserving, loss distribution fitting, experience rating.

GLM ClaimsChain LadderLoss Dist

Meta-Analysis

Fixed and random effects, forest plots, funnel plots, heterogeneity metrics. Publication-ready output.

Fixed EffectsRandom EffectsForest Plot

How It Works

Three Steps to Production

No infrastructure. No dependencies. Send your data, get results.

Get Your API Key

Sign up in 30 seconds. No credit card required. Your key is ready immediately.

Send Your Data, Get Results

POST your data — JSON, HS3, Parquet, CSV. Results in milliseconds, not minutes.

Integrate Your Pipeline

Use the Python SDK, REST API, or the built-in web IDE. Fits into any workflow. 

# Fit a HistFactory model and get CLs exclusion
curl -X POST https://cloud.nextstat.io/api/v1/hep/cls \
  -H "Authorization: Bearer $NEXTSTAT_KEY" \
  -H "Content-Type: application/json" \
  -d '{"workspace": "analysis.json", "poi": "mu_sig", "cl": 0.95}'

# Response (47ms):
{
  "observed_cls": 0.0312,
  "expected_cls": [0.0044, 0.0152, 0.0438, 0.1127, 0.2541],
  "excluded": true,
  "compute_ms": 47
}

Why NextStat Cloud

Built Different

Not a wrapper around SciPy. Not a notebook-as-a-service. A purpose-built compute engine.

Written in Rust

No Python Overhead

Compiled Rust backend with zero-copy SIMD, reverse-mode AD, and optional GPU acceleration. No GIL. No garbage collector.

Batteries Included

Everything You Need

Authentication, API keys, team workspaces, SSO, audit logs, usage billing, and a built-in web IDE. Ship to production.

Open Core

AGPL-3.0 + Commercial

The nextstat.io library is open source under AGPL-3.0 with a commercial license option. Run locally or use Cloud for hosting, collaboration, and the web IDE.

Ready to Ship Faster?

Get your API key in 30 seconds. No credit card. No infrastructure. Just results.

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