Our Services

Specialized validation and consulting services for companies building production AI systems

Bahrami AI Consulting offers specialized validation and technical consulting services designed to de-risk AI deployments and accelerate production readiness.

We provide three core service lines, each addressing critical challenges in bringing AI systems to production.

AI Model Validation & Testing

Independent third-party validation for AI systems preparing for production deployment or performance assessment.

What's Included

Performance Validation

  • Statistical analysis of model accuracy, precision, and recall
  • Performance across diverse data distributions and edge cases
  • Failure mode identification and analysis
  • Comparison against baseline models and industry benchmarks
  • A/B testing design and statistical significance analysis

Bias & Fairness Assessment

  • Demographic bias analysis across relevant attributes
  • Performance equity evaluation
  • Fairness metric calculation and reporting
  • Recommendations for bias mitigation strategies
  • Disparate impact and equal opportunity analysis

Robustness Testing

  • Model performance under varying input conditions
  • Adversarial robustness evaluation
  • Sensitivity to data quality variations
  • Generalization across different domains
  • Stress testing and boundary condition analysis

Production Readiness Assessment

  • Real-world deployment readiness evaluation
  • Monitoring and alerting strategy recommendations
  • Model interpretability and explainability assessment
  • Safety and failure mode analysis
  • Performance degradation and drift detection planning

Deliverables

  • Comprehensive validation report with statistical analysis
  • Performance metrics documentation
  • Test dataset descriptions and methodology
  • Recommendations for model improvement
  • Production deployment considerations
  • Executive summary for stakeholders

Typical Timeline

  • Essential Validation: 2-3 weeks
  • Comprehensive: 4-6 weeks
  • Enterprise Package: 6-10 weeks

Timelines depend on model complexity, data volume, and testing requirements.

Applications

  • Fraud detection systems
  • Recommendation engines
  • Credit scoring models
  • Demand forecasting
  • Computer vision applications
  • NLP and LLM systems

Synthetic Data Generation

Custom synthetic datasets to solve data scarcity, privacy challenges, and training data limitations across any domain.

What's Included

Custom Dataset Generation

  • Synthetic data matched to your specific use case
  • Multiple data types: tabular, images, text, time series
  • Configurable distributions and characteristics
  • Privacy-preserving data synthesis
  • Realistic edge cases and rare scenarios

Data Augmentation Services

  • Expansion of existing limited datasets
  • Maintaining statistical properties of original data
  • Controlled variation generation
  • Rare case and edge case synthesis
  • Domain-specific augmentation strategies

Quality Validation

  • Statistical fidelity assessment
  • Domain realism evaluation
  • Comparison with real data distributions
  • Privacy metrics and analysis
  • Utility validation for ML training

Use Cases

  • Training data augmentation for ML models
  • Privacy-preserving model development
  • Testing and QA with realistic synthetic data
  • Demonstration and sandbox environments
  • Performance benchmarking across scenarios

Deliverables

  • Synthetic dataset (specified volume and format)
  • Quality validation report with statistical analysis
  • Dataset documentation and metadata
  • Usage guidelines and recommendations
  • Generation pipeline code (optional)

Typical Timeline

  • Small Dataset: 2-3 weeks
  • Medium Dataset: 4-5 weeks
  • Large/Complex: 6-8 weeks

Custom timelines available for specialized requirements.

Data Types

  • Tabular data (transactions, customers, etc.)
  • Images (any domain)
  • Text and documents
  • Time series data
  • Multimodal datasets

AI Strategy & Implementation Consulting

Technical guidance for companies planning AI initiatives, from feasibility assessment to production deployment.

What's Included

Technical Feasibility Assessment

  • AI applicability analysis for your use case
  • Expected performance and accuracy estimates
  • Data requirements and availability assessment
  • Technical risk identification
  • Build vs. buy recommendations

Model Selection & Architecture

  • Model architecture recommendations
  • Framework and technology stack guidance
  • Performance vs. cost tradeoff analysis
  • Scalability and latency considerations
  • Vendor and platform evaluation

Training Data Strategy

  • Data collection strategy and planning
  • Labeling approach and quality control
  • Data pipeline architecture
  • Privacy and compliance considerations
  • Synthetic data opportunities

Production Deployment Planning

  • Infrastructure and MLOps architecture
  • Monitoring and observability strategy
  • A/B testing and rollout planning
  • Model retraining and maintenance
  • Team structure and hiring recommendations

Deliverables

  • Feasibility assessment report
  • Technical architecture recommendations
  • Implementation roadmap
  • Risk assessment and mitigation strategies
  • Vendor evaluation and comparison
  • Executive presentation

Engagement Models

  • Assessment: 1-2 weeks
  • Strategy Development: 3-4 weeks
  • Ongoing Advisory: Monthly retainer

Ideal For

  • Companies planning AI initiatives
  • Teams evaluating AI vendors
  • Organizations scaling AI programs
  • Leadership seeking technical guidance

Flexible Engagement Models

We understand that every AI project has unique requirements. Rather than one-size-fits-all packages, we tailor our services to your specific needs, timeline, and technical complexity.

Schedule a complimentary consultation to discuss your specific needs and receive a detailed proposal with transparent pricing.

Schedule Consultation

How We Work

1

Initial Consultation

30 minutes, complimentary

We discuss your AI system, technical challenges, validation needs, and project timeline.

2

Proposal & Scoping

1-2 days

We provide a detailed proposal outlining scope, methodology, deliverables, timeline, and investment.

3

Project Kickoff

1 week

We establish data transfer protocols, review technical requirements, and finalize testing methodology.

4

Execution

2-10 weeks

We perform validation testing, generate synthetic data, or provide strategic consulting according to agreed timeline.

5

Delivery & Review

1 week

We deliver comprehensive documentation, review findings with your team, and provide actionable recommendations.

6

Ongoing Support

Optional

We remain available for questions during implementation and can provide additional support as needed.

Frequently Asked Questions

How long does a typical validation project take?

Most validation projects are completed in 2-6 weeks depending on model complexity and testing scope. We provide detailed timelines during the proposal phase.

Do you sign NDAs and data agreements?

Yes. We routinely work under confidentiality agreements and appropriate data protection agreements. Data security and privacy are paramount.

Can you validate models that are still in development?

Yes. Early-stage validation can identify issues before they become expensive problems. We offer pilot validations for models in development.

What data do you need from us?

For validation: your model (or API access) and test datasets. For synthetic data: example data and specifications. We work with you to define exact requirements.

Do you work with international companies?

Yes. We serve companies globally across all major industries and are experienced with various regulatory and compliance requirements.

What if you find issues during validation?

We provide detailed findings and actionable recommendations. Many clients iterate on their models and return for re-validation before production deployment.

Can you help with ongoing monitoring?

Yes. We offer ongoing validation services and monitoring strategy for deployed AI systems as part of production maintenance.

What makes your validation different from internal testing?

Independent third-party validation provides objective assessment and often reveals issues internal teams miss. Our cross-industry experience brings fresh perspective.

Ready to Validate Your AI System?

Schedule a complimentary 30-minute consultation to discuss your validation needs, timeline, and how we can help ensure production readiness.

Schedule Consultation

Or contact us directly:

Email: naeim@bahramimedai.com