GAUGE-01

AI Feasibility Study

Find out if a custom model is actually worth building — before you commit 6 months and $500K.

$6,000report5 days

[ WHO IS THIS FOR ]

CTO or ML team lead at a company that has evaluated off-the-shelf models and is seriously considering building a custom model for a specific use case.

You need this when:

Foundation models are not hitting your performance targets
Data privacy rules prevent using third-party model APIs
Cost analysis shows API spend would justify custom model at scale
Board or investors asking about AI moat and defensibility
ML team wants to validate a custom model proposal before committing budget

[ ROI FRAME ]

RETURN ON INVESTMENT

Custom model projects that fail to reach production typically cost $200K–$1M+ and 6-18 months. This study costs less than 1% of that and either validates the investment or saves you from making it.

WHAT YOU GET

20-35 page feasibility study report
Data quality and quantity assessment
Model architecture recommendations with trade-off breakdown
Realistic performance projections based on your data
Training infrastructure requirements and cost estimates
Build timeline with milestones
Build vs. buy analysis with clear recommendation
Risk assessment (technical, timeline, cost)
45-minute live discussion of findings

WHAT YOU PROVIDE

ML task description and success criteria
Current approach and performance metrics
Sample dataset (anonymized if needed)
Infrastructure inventory (compute, storage, MLOps tools)
Business requirements (latency, throughput, accuracy targets)
Budget range for model development

[ CALENDAR ]

Scheduling happens after purchase. We will reach out within 1 business day to coordinate times.

Technical Discussion45 minDay 5 (delivery)

[ ALTERNATIVES ]

Internal ML team assessment (no external benchmark data)
Vendor feasibility study (inherently biased toward building)
Start building and learn as you go (highest cost path)
Academic consultation (slow, expensive, not business-focused)