Consulting Services

I help AI startups validate products, build prototypes, and create strategic roadmaps.
Empirical validation over theory. Always.

AI Product Validation
Empirical testing to prove your AI concept actually works before you build it.
Investment
$15,000 - $25,000
Timeline
30 days

What You Get:

  • Empirical testing framework design
  • Backtesting across multiple scenarios
  • Out-of-sample validation
  • Performance metrics and analysis
  • Written validation report
  • Go/no-go recommendation with rationale
Ideal For:
Startups validating AI product concepts before heavy development investment
Proof-of-Concept Development
Working prototype that demonstrates your AI product vision in production.
Investment
$25,000 - $50,000
Timeline
60 days

What You Get:

  • Functional MVP demonstrating core capability
  • Technical architecture documentation
  • API integration (if needed)
  • Performance benchmarks
  • Code repository with documentation
  • Deployment guide for your team
Ideal For:
Companies needing technical proof before committing to full build
Custom Strategy Development & Multi-Platform Implementation
Professional strategy validation and custom indicator development across multiple trading platforms.
Investment
$5,000 - $15,000
Timeline
2-4 weeks

What You Get:

  • Backtest existing strategy across 5+ years of historical data
  • Parameter optimization for best risk-adjusted returns
  • Out-of-sample validation to prevent overfitting
  • Custom indicator development for platforms: TrendSpider (JavaScript), TradingView (Pine Script), NinjaTrader (C#), MetaTrader (MQL4/MQL5)
  • Comprehensive performance report (Sharpe ratio, drawdown, win rate, expectancy)
  • Strategy documentation and implementation guide
Ideal For:
Traders and prop firms needing professional strategy validation and cross-platform deployment
AI Strategic Roadmap
Prioritized plan for where to apply AI in your business with ROI estimates.
Investment
$10,000 - $15,000
Timeline
2 weeks

What You Get:

  • Current state assessment
  • AI opportunity identification
  • Prioritized roadmap with ROI estimates
  • Technical feasibility analysis
  • Resource requirements
  • Implementation timeline
Ideal For:
Leadership teams exploring AI applications strategically
Technical Due Diligence
Is this AI company's tech real or vaporware?
Investment
$5,000 - $10,000
Timeline
1 week

What You Get:

  • Technical architecture review
  • Code quality assessment
  • Claims validation (performance metrics)
  • Scalability analysis
  • Risk identification
  • Written assessment report
Ideal For:
Investors and acquirers evaluating AI companies

Engagement Levels

Choose the right level of support for your needs — from strategic planning to complete product development.

Planning & Assessment
Strategic Advisory
$10K-15K
1-2 weeks

Includes

  • Current state analysis
  • Opportunity identification
  • Strategic recommendations
  • ROI projections
  • Implementation roadmap

Not Included

  • •Hands-on development
  • •Code implementation
  • •Ongoing support
Prove It Works
Validation & Testing
$15K-25K
3-4 weeks

Includes

  • Empirical testing framework
  • Comprehensive backtesting
  • Out-of-sample validation
  • Performance analysis
  • Technical feasibility report
  • Go/no-go recommendation

Not Included

  • •Production deployment
  • •Full product build
  • •Training & onboarding
Working Product
Build & Deploy
$25K-50K
8-12 weeks

Includes

  • Complete POC/MVP development
  • Production-grade architecture
  • API integrations
  • Performance optimization
  • Documentation & code
  • Deployment guidance
  • Technical handoff

Not Included

  • •Ongoing maintenance
  • •Feature expansion
  • •Long-term support contracts

Frequently Asked Questions

How do fixed-price engagements work without hourly tracking?

Fixed-price projects align our incentives — you get a defined outcome at a known cost, and I'm incentivized to deliver efficiently. Scope is clearly defined in "What You Get" bullets. Additional scope beyond the defined deliverables would be a separate engagement. This is standard practice in professional services consulting.

What happens if the project needs more time than estimated?

Timeline estimates account for typical complexity. If scope expands beyond original definition, we discuss options: (1) descope to meet original timeline, (2) extend timeline with additional investment, or (3) split into phases. Original deliverables are always completed as promised.

Can I see examples of past work?

Yes — visit the Portfolio page for detailed case studies including multi-agent systems (77% RL win rate), execution platforms, and database systems scaling to $6.45M revenue. All projects include empirical validation and production deployment experience.

Do you work with existing teams or independently?

Both. I can work independently to deliver complete solutions, or collaborate with your technical team providing architecture guidance, validation expertise, and implementation support. Engagement structure adapts to your needs.

What industries do you work with?

Primary focus: AI startups, algorithmic trading firms, prop trading operations, and companies exploring AI product opportunities. Deep expertise in trading systems, multi-agent architectures, and empirical validation across any domain.

What's your validation methodology?

Empirical first — I don't trust theory until validated through rigorous testing. For trading strategies: 5+ years backtesting, out-of-sample validation, walk-forward analysis. For AI systems: production load testing, edge case validation, performance benchmarking. 6,479+ documented tests establish this methodology.

Ready to Build Something Real?

Let's discuss your project. I'll tell you honestly if AI can solve your problem and how to prove it works.

Schedule a Call