ABOUT US

Evidence-Based Project Analysis

PROTHEUS AI transforms software project estimation from guesswork into statistical prediction using 500+ real-world project corpus and empirical pattern analysis.

TABLE 1. MISSION

Why PROTHEUS Exists

Problem: 68% of software projects fail due to unrealistic timeline estimates (Standish Group CHAOS Report 2023). Existing estimation methods rely on:

  • Expert judgment → subjective, inconsistent
  • Story points → team-specific, non-transferable
  • LLM guesses (ChatGPT) → hallucinations with no empirical backing

Solution: PROTHEUS applies statistical pattern matching across 500+ completed projects (2023-2025) to predict timelines with 84.6% accuracy (±1 week).

TABLE 2. METHODOLOGY OVERVIEW

How PROTHEUS Works

Engine 1: Constraint Analysis

Extracts 47 constraint types from PRD (regulatory compliance, performance SLAs, integration requirements). Statistical impact: GDPR +2.8w (n=43, σ=0.6w), HIPAA +2.1w (n=37, σ=0.5w).

Engine 2: Dependency Mapping

Builds directed acyclic graph (DAG) of technical dependencies. Covers 50K+ package combinations. Critical path analysis identifies bottlenecks.

Engine 3: Architecture Validation

Detects architectural anti-patterns, missing components, scalability issues. Flags high-risk decisions with empirical failure rates.

Engine 4: Statistical Prediction

Matches project profile against 500+ corpus. Calculates timeline using weighted similarity, regional labor adjustments, team size coefficients. Outputs: μ (mean), σ (std dev), confidence intervals.

TABLE 3. TEAM

Built by Engineers, for Engineers

Background

PROTHEUS was created by software architects who spent 10+ years fixing failed projects. Common pattern: unrealistic timelines caused by optimistic estimation, missing dependencies, underestimated regulatory overhead.

Research Foundation

We analyzed 500+ completed projects across 12 industries (2023-2025). Extracted patterns: dependency chains, constraint impacts, architectural decisions. Validated predictions against real outcomes: 84.6% accuracy ±1 week.

Philosophy

Transparency over hype. We show statistical confidence, flag uncertainties, explain every timeline factor. No black boxes. No AI magic claims. Just empirical data and statistical rigor.

TABLE 4. DATA & VALIDATION

Corpus Statistics

500+
Projects analyzed
2023-2025
84.6%
Prediction accuracy
±1 week tolerance
50K+
Dependency patterns
Package combinations

Industry Coverage

SaaS platforms (n=143)
E-commerce (n=87)
Healthcare systems (n=62)
Fintech (n=54)
Enterprise tools (n=48)
Others (n=106)
TABLE 5. CORE PRINCIPLES

What We Believe

1. Data Over Intuition

Every prediction backed by statistical evidence. No expert guesses. Show confidence intervals, standard deviations, sample sizes.

2. Transparency Always

Explain every factor affecting timeline. Flag uncertainties explicitly. No black boxes. Users understand why predictions exist.

3. Continuous Validation

Model updated monthly with new projects. Accuracy re-measured quarterly. Q1 2024: 84.6%, Q4 2023: 82.3% (improving).

4. Honest Limitations

We flag novel stacks as ⚠ HIGH UNCERTAINTY. We don't hallucinate confidence. Better to say "insufficient data" than guess.

Ready to Predict Your Project?

Try PROTHEUS with your PRD. Get statistical timeline prediction in minutes. Free tier: 1 complete analysis, no credit card required.