Lasso Statistical Analysis Software

Lasso is an AI-powered econometrics platform launched in 2025 by Lasso Stats Ltd, a London-based software firm.

Reviewed by 7wData

On this page

Publisher review

Lasso is an AI-powered econometrics platform launched in 2025 by Lasso Stats Ltd, a London-based software firm. It combines point-and-click regression modeling with large language model interpretations of statistical results—a design choice that positions it at the intersection of accessibility and rigor. The software targets professional economists, academic researchers, and analysts who need production-grade econometric capabilities without learning a programming language.

Lasso integrates directly with World Bank, IMF, and FRED data APIs, eliminating a common friction point: hunting for reliable sources and manually importing datasets. Its core workflow—build model, receive instant plain-English explanation of coefficients and significance—is relatively novel in the econometrics space, where users typically rely on textbooks, Stack Overflow, or paid consultants to interpret results. The platform includes time-series analysis, panel data support, descriptive statistics with pattern detection, and automated report generation in PDF and LaTeX formats.

Pricing is freemium: £0/month with modest limitations (5-variable cap on free tier), £9/month for unlimited variables and full API access. The main trade-off is adoption risk: Lasso is barely a year old, and the econometrics market remains dominated by Stata (commercial, $600–$2,400 per license) and free alternatives like R and Python, both with deeper communities and broader feature depth. Whether AI interpretation of econometric output will gain traction with researchers who already distrust black-box ML methods remains an open question.

Get the AI & data signal, daily.

48k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. AI Model Interpretation

    Automatic generation of plain-English summaries of regression coefficients, p-values, and model fit diagnostics.

  2. Direct API Access to Economic Data

    One-click imports from World Bank, IMF, and FRED without leaving the application—eliminates manual download and merge workflows.

  3. Regression Modeling with Diagnostics

    Point-and-click OLS, IV, and time-series models with real-time assumption testing and automated variable selection.

  4. Publication-Ready Visualization

    AI-suggested chart types optimized for data structure; one-click export to high-resolution formats suitable for journals and reports.

  5. Panel Data and Time-Series Support

    Handles longitudinal data, fixed/random effects models, and temporal analysis without additional plugins.

  6. Automated Report Generation

    Export regression tables, diagnostics, and charts as PDF or LaTeX, suitable for academic papers and institutional reports.

Strengths and trade-offs

Strengths

  • Freemium pricing and low barrier to entry for small teams; £9/month is a fraction of Stata's $600+ annual cost.
  • Direct data API integrations reduce a major friction point in econometric workflows—fetching and validating government/central bank datasets.
  • AI explanations appeal to practitioners unfamiliar with econometric jargon and may reduce reliance on human consultants for result interpretation.

Trade-offs

  • Company incorporated June 2025; no track record, peer-reviewed validation, or long-term stability signal. Risks abandonment or feature drift if funding dries up.
  • Econometrics is a conservative, citation-heavy discipline; Lasso lacks the citation count, published methodological papers, and institutional trust of Stata or R ecosystems.
  • Free tier capped at 5 variables is restrictive for real-world panels and multivariate analysis; pay wall starts at modest scale rather than at genuine feature shortage.

Pricing context

Lasso operates on a freemium model with no long-term contracts. The free tier (£0/month) includes basic regression, descriptive statistics, and limited diagnostics, capped at 5 variables. The premium plan (£9/month, billed monthly) unlocks unlimited variables, full API access to World Bank/IMF/FRED, advanced diagnostics, and priority support.

Institutional pricing and discounts are available on request. Compared to Stata (one-time $600–$2,400 per license or $99–$399 annual subscription), Lasso is aggressively priced for solo users and teams. R and Python remain free but require coding proficiency. No data about annual user counts, churn rates, or enterprise adoption is public.

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. lassostats.com — Core features, AI interpretation, API integrations, use case positioning
  2. find-and-update.company-information.service.gov.uk — Company incorporation date (11 June 2025), registered office, director name, company classification
  3. www.stata.com — Lasso as a statistical technique; Stata's implementation for comparative context
  4. website-alternatives.com — Alternative tools in the econometrics space and relative pricing/positioning
  5. learneconometricsfast.com — Market context: Stata, R, and Python as dominant econometrics platforms