Now in Public Beta

Statistical Computing, Reimagined

Production-grade API for HEP, Pharma PK, Econometrics, Survival, Insurance, and Meta-Analysis. Up to 880x faster than alternatives.

6
Verticals
56+
API Endpoints
<1ms
Cold Start Latency
880x
Faster than pyhf

Six Verticals. One API.

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

HEP / Particle Physics

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

HistFactory Profile Scan CLs Ranking pyhf-compat

Pharma PK

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

NLME VPC GoF Simulation 2-Compartment

Econometrics

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

Panel FE DID Event Study IV/2SLS Cluster SE

Survival Analysis

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

Kaplan-Meier Cox PH Log-Rank AFT Confidence Bands

Insurance / Actuarial

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

GLM Claims Chain Ladder Loss Distribution Experience Rating

Meta-Analysis

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

Fixed Effects Random Effects Forest Plot Funnel Plot

Three Steps to Production

No infrastructure to manage. No dependencies to install. Send JSON, get results.

1

Get Your API Key

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

2

Send JSON, Get Results

POST your data to the endpoint. Results come back in milliseconds, not minutes.

3

Integrate Your Pipeline

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

Terminal
# Fit a HistFactory model and get CLs exclusion in one call
curl -X POST https://api.nextstat.io/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
}

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. No cold-start penalty.

Batteries Included

Everything You Need

Authentication, API key management, team workspaces, SSO, audit logs, usage billing, and a built-in web IDE. Ship to production, not to a demo.

Open Core

MIT-Licensed Library

The nextstat.io local library is MIT-licensed. Run it on your laptop. Cloud adds managed hosting, collaboration, persistent storage, and the web IDE.

Simple, Predictable Pricing

Pay for compute time, not per API call. No hidden fees. Scale when you need to.

Free
$0 / forever
  • 60 min/mo compute
  • 2 concurrent jobs
  • 10 MB upload limit
  • Community support
Get Started
Team
$99 / month
  • 3,000 min/mo compute
  • 20 concurrent jobs
  • 100 MB upload limit
  • SSO / SAML
  • Shared workspaces
  • Audit logs
Start Free
Enterprise
Custom
  • Unlimited compute
  • Unlimited concurrency
  • On-premise deployment
  • Dedicated support
  • Custom SLAs
  • GPU acceleration
Contact Sales

During beta: all Pro features are free. No credit card required.

Ready to Ship Faster?

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

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