The AI kit for Economists

Turns raw indicators into sourced findings and scenario tables, like a regional GDP brief with every figure dated.

Builds trend reads, benchmarks, and risk assessments, such as comparing sector margin trends against a five-year baseline.

Produces indicator forecasts and policy impact evaluations, like the effect of a fuel subsidy change on household inflation.

Links policy and market signals into scenarios and stakeholder reports, such as rate-path scenarios for a lending book.

Like "Summarize an Economic Dataset"

Like "Draft Findings or Methodology Section"

Like "Summarise Inflation Data Releases"

Like "Build Forecast Scenario Assumptions"

A small set of balanced, rule-compliant budget scenarios ranked by how well they meet priorities

A refreshed forecast with explained changes and a short note ready for decision makers

Produce a consistent, checked regional brief in hours instead of days.

Produce weighted survey estimates that are stable and well documented.

Lets your AI search Google Scholar and pull ready-made citations for papers you find.

Your AI can search academic papers, read them, map citations, and save them into a personal library.

Lets your AI search for papers, save them to Zotero, and write notes into your Obsidian vault for you.

Let your AI read your Zotero papers, highlight key findings, explain formulas, and save reading notes back to your library.

Pane is an AI spreadsheet that edits cells, writes real formulas, extracts tables from PDFs, cleans messy data and builds charts-so every change is visible, edi

Chirpz is an AI research assistant that reads your text in a focused notebook, finds and ranks the most relevant academic papers, and inserts citations with a s

Unlock data-driven decisions with this analytics modeling tool, which harnesses advanced statistical models to deliver crucial insights and predictions. Ideal f

DataLab is a data notebook with generative AI that lets you interact naturally with your data, edit and run analyses in a powerful IDE, and create polished, sha

Keeps every figure traceable to its source, so a quarterly finance report survives review without rework.

Holds sources and drafts in one owned workspace, so a cited market report moves faster to sign-off.

Shows the driver math behind each scenario in plain language, so stakeholders can challenge the assumptions.

Cuts time re-finding old research while keeping provenance and review state attached to each item.

Fits and diagnoses statistical models for rigorous inference and forecasting.

Analyzes numerical data to find trends, compare metrics, and produce statistical insights.

Analyzes emerging trends and predicts industry shifts to inform strategic planning and competitive positioning.

Evaluate demand-forecast quality with WMAPE, bias, and Forecast Value Added vs. naive.