Software and statistics,
built well.

DataThink is a small studio of software engineers and statisticians. We specialize in building web applications, developing statistical packages, and applying AI conscientiously.

tidyversepandaspolarsduckdbStanNext.jsTypeScriptPostgresscikit-learnggplot2rmarkdownDatabricksQuartoSnowflakedplyrFastAPIPrismaTailwind
app.datathink.io / dashboard
Q3 Forecast · weekly
$1.846M +18.4%
1W1M1Q
MAE
0.012
Coverage
94.1%
0.946
Web Engineering

Software, built to last.

Marketing sites, internal tools, customer portals, dashboards. DataThink builds web software that serves your users today — and that your team can maintain and extend for years to come.

See examples
CRANdatathink/forecastr
v2.4.0
DESCRIPTION
Package: forecastr
Title: Hierarchical Forecasting Models
Version: 2.4.0
Authors@R: DataThink
Depends: R (≥ 4.2)
Imports:
tibble, dplyr, rlang,
cmdstanr, posterior
License: MIT
✓ R CMD check — 0 errors, 0 warnings
forecastr.R
forecast_hb <- function(data, horizon = 12) {
# fit hierarchical model
fit <- cmdstanr::sample(
stan_model,
data = stan_data,
chains = 4,
iter = 2000
)
}
Data Science Tooling

Drive Decisions with Data.

From machine learning pipelines and biostatistical analyses to business intelligence dashboards, we cover the full breadth of modern data science work. R for statistical rigor. Python for machine learning. The right tool for the job, every time.

See our projects
AUDITrun · 0938.json
reviewed · 2026-05-14
Prompt
Summarize Q3 cohort retention and flag any segment with CI lower bound below the target.
Model
claude-opus-4.7 · temp 0.2 · seed 42
Sources
4 internal datasets · cited inline
Tool calls
read_csvfit_cohort_modelvalidaterender_report
Validation
held-out check · 94.1% match vs. ground truth
Human review
Approved by E. Glenn
sha256 · 7a4f…e21breproducible · ✓
Responsible AI

We use AI when it actually helps.

We build AI-powered tools that actually fit your workflow — MCP servers, custom agent skills, and integrations for the AI tools your team already uses. Our commitment: all AI usage is transparent, aligned with ethical guidelines, and reviewed by a human at every step.

See our AI principles
How we work

The DataThink guarantee.

Engineers write the code.

Not handed off, not abstracted behind an account manager. The same people on the kickoff call ship the code.

Reproducible by default.

Every deploy, pipeline, and analysis runs the same way the next time you touch it. No 'works on my machine.'

We document the boring parts.

Onboarding notes, run-books, and decision logs so your team owns what we built when we leave.

Available when it matters.

Working remotely with teams across the US. Headquartered in Rexburg, Idaho — on your hours, not ours.

Tell us what you're trying to ship.

DataThink takes on a small number of engagements per quarter. Bring the project — we'll scope it honestly, whether that's a sprint of frontend work or a year of statistical modeling.

Start a project

Bring us the part that's hard.