the ai co-scientist for applied scientists.

building agentic workflow for Economists

— what it does

  • Literature synthesisScans and synthesizes entire research corpora. Surfaces contradictions and gaps before you open a single PDF.
  • Hypothesis generationProposes testable hypotheses grounded in literature. Scaffolds study design and power estimates.
  • Agentic data pipelinesRuns end-to-end analysis — cleaning, modelling, visualisation — without breaking your flow.
  • Manuscript draftingCo-writes papers and grant proposals in your voice. Correct citations, ready for review.
  • Cross-domain reasoningBridges methods across disciplines. Econometrics to psychology. Causal inference to ML.

— use cases

  • EconomistsReplication crisis, solvedSynthesizes 200+ papers overnight, flags conflicting IV strategies, proposes a design. 6 hours, not 6 weeks.
  • ML ResearchersFrom idea to benchmark in daysMonitors ArXiv, clusters related work, writes ablation code, drafts related-work. You focus on the contribution.
  • Social ScientistsSurvey to insight, automatedCodes 50k open-ended responses, runs mixed-methods, surfaces latent themes with APA citations.
  • Finance ResearchersAlpha from academic rigorReviews the factor zoo, flags data-snooping, writes backtesting code with proper walk-forward splits.
  • PsychologistsMeta-analysis at machine speedExtracts effect sizes from PDFs, handles heterogeneity, builds forest plots. PRISMA-compliant.
  • Computational ResearchersReproduce, extend, publishReads the methods, rewrites legacy MATLAB in Python, validates outputs. One session.

— early access

small cohort. applied empirical researchers only. we'll reach out.