Module 3

Scoring engine

Interactive six-dimension scoring with benchmark pattern context. Intake, coverage, insights, and pre-analysis submissions feed directly into the composite and recommendation.

Knowledge base inputs

No steps submitted yet — the recommendation is based on operator scores alone.· Intake pending· Coverage pending· Insights pending· Pre-analysis pending

Composite Score

3.3 / 5.0

Preview mode — edits are local only
Pre-investment decision

Invest with conditions

  • Composite 3.3/5.0
Product Credibility
3.7
Tooling & Vendor Exposure
3.5
Data & Sensitivity Risk
3.3
Governance & Safety Posture
3.1
Production-Readiness Signals
3.0
Open Validation Areas
2.8

Pattern Matches

CASE-001legal tech

Similar legal-tech RAG profile with provider concentration and claims-vs-architecture mismatch.

CASE-011legal tech

Comparable enterprise workflow and compliance burden, but stronger current-state governance in the benchmark case.

AI-Driven Value vs. Wrapper

Is the AI core to the value proposition, or a bolt-on to a workflow/services business?

4.0
StrongAI is central to the value proposition with clear differentiation from non-AI solutions.

Demo-to-Production Gap

How wide is the gap between what is demoed and what runs in production?

3.4
Narrow gapProduction closely mirrors demos; minor differences are documented and explained.

Customer-Reported vs. Claimed Outcomes

Do customer references or data support the claims made in sales materials?

4.0
Strong evidenceMultiple customer references confirm claimed outcomes with quantitative support.

Differentiation Defensibility

How defensible is the product differentiation against competitors or new entrants?

3.4
Strong moatMeaningful barriers to replication across multiple vectors (data, workflow lock-in, expertise).