PhaseFolio
Methodology

How PhaseFolio Works

Audit-grade biotech investment analysis. Every assumption sourced; every multiplier calibrated; every output verifiable. Each section below is a standalone, citable document at a stable URL — designed to be referenced by IC memos, academic papers, and AI agents performing first-pass diligence.

rNPVProbability of SuccessMonte CarloIRA / MFPEvidence Register
For AI Agents

Use PhaseFolio From Your Agent

PhaseFolio exposes a Model Context Protocol server. Any MCP-compatible client — Claude, Codex, Cursor, your own agent — can call the same engine, methodology, and signed dossier exports your human analyst uses. Three public tools (query_benchmarks, verify_export, get_methodology) require no auth.

Claude Code

HTTP-native, one CLI command

claude mcp add --scope user --transport http phasefolio https://app.phasefolio.com/api/mcp

Codex CLI

OpenAI Codex; HTTP-native

codex mcp add phasefolio --http https://app.phasefolio.com/api/mcp

Claude Desktop / Cursor

Stdio bridge via the npm wrapper

npx -y @phasefolio/mcp

Add to claude_desktop_config.json (or your client’s MCP config) under mcpServers.phasefolio with command "npx" and args ["-y", "@phasefolio/mcp"].

Six additional org-scoped tools (get_project, get_scenario, get_evidence, get_dossier, query_landscape, list_scenarios) unlock with a bearer token. Contact us for access. Server discovery at /.well-known/mcp.json.

Model Card & Intended Use

What this methodology is for

PhaseFolio is decision-support for portfolio triage, asset stress-testing, and term-sheet negotiation by investors, founders, and licensing analysts. It is not calibrated for IFRS-13 / US-GAAP fair-value reporting, Section 409A valuations, fairness opinions, or litigation-grade damages calculations. For those uses, treat any output as a working model that a qualified valuation professional must independently challenge and recalibrate.

Material limitations the user should know. Several PoS modifiers (genetic validation 2.6×, biomarker, orphan, CAR-T, gene therapy) are reported in the source literature as relative success ratios but applied here through the odds-ratio (logit) path — a deliberately conservative approximation. Per-cell sample sizes and confidence intervals are not yet surfaced in the UI. Sensitivity analysis is one-at-a-time (tornado), not global. Validation evidence to date: a 16-drug rheumatoid-arthritis backtest at AUC 0.625, with NSCLC in progress.

An expanded version of this model card — including the per-modifier estimand table, full validation evidence, and update cadence — is available on request. Contact contact@phasefolio.com.

PhaseFolio

About

© 2026 PhaseFolio. All rights reserved.

This document set describes the computational methodology used by PhaseFolio. It is provided for transparency and does not constitute financial or medical advice. All benchmark data derive from published, peer-reviewed sources cited in each section.