Company research
Equity research starts from ticker context, filings, metrics, peer signals, and source-backed evidence.
Pythia Analytics
An AI-native investment research workspace for equity research, valuation, macro context, portfolio review, and source-backed analysis that can be saved, replayed, and audited.
Invite-only workspace
Public-safe launch artifacts
Dash + Python research system
A research workflow, not a static report.
Pythia keeps the analytical chain visible across company research, saved work, valuation context, macro backdrop, portfolio review, and assistant-guided workflows.
Saved analysis
Research output becomes reusable app state that can be reopened, compared, and audited later.
Valuation heatmap
Model outputs and market context are surfaced as a cross-company valuation workspace.
Macro context
Rates, FX, indices, and macro indicators give research a current market frame.
Portfolio lab
Portfolio review connects positions, contribution, thesis timing, and what-if analysis.
Workflow layer
Assistant flows propose actions while data boundaries and approvals stay explicit.
The build story is public-safe and inspectable.
Architecture notes, launch diagrams, validation gates, and case-study artifacts live in the public editorial layer without exposing private user data.
Architecture notes
Dash app shell, Python services, valuation models, refresh jobs, and editorial surfaces are mapped in the technical paper.
Read technical whitepaperValidation gates
Route readiness, deploy smokes, data refresh checks, and asset policies are treated as product requirements.
Open build notesData boundary
Private routes stay authenticated while public posts and launch assets are explicitly allow-listed.
A public-safe case study from the portfolio workflow.
Portfolio 8 shows how Pythia turns a saved portfolio into contribution-ranked evidence, thesis timing, and app-sourced tables while redacting private account details.
Open the Portfolio 8 report
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