From Strategy to Production AI
End-to-end AI and data solutions. We help you build the strategy, design the data platforms, and deploy production ML systems that deliver measurable business value.
AI Strategy & Roadmap
Create strategic AI roadmaps aligned with business objectives
Strategic Planning
Identify high-value AI use cases and prioritize initiatives based on impact and feasibility. Build comprehensive roadmaps that align with your business goals.
- Business capability assessment and use case identification
- ROI analysis and prioritization framework
- Multi-phase implementation planning
- Risk assessment and mitigation strategies
Model Selection
Evaluate AI models from OpenAI, Anthropic, open-source alternatives, and custom solutions. Select the right fit based on your requirements and constraints.
- LLM evaluation (GPT, Claude, Llama, Mistral)
- Cost/performance optimization analysis
- Fine-tuning vs prompt engineering strategy
- Custom model development assessment
Data Platform Design
Design modern data platforms using cloud-native technologies
Cloud Data Warehouses
Build scalable data warehouse architectures on modern cloud platforms. Design for performance, cost efficiency, and analytical workloads.
- Cloud data warehouse architecture (Snowflake, BigQuery, Redshift)
- Schema design and data modeling best practices
- Query optimization and performance tuning
- Cost monitoring and resource optimization
Data Lakes & Lakehouses
Implement data lakes and lakehouse architectures that unify structured and unstructured data. Enable both analytics and ML workloads on a single platform.
- Data lake and lakehouse implementation (Databricks, Delta Lake)
- Real-time streaming architectures (Kafka, Kinesis)
- Data mesh and decentralized architecture design
- Object storage optimization and partitioning strategies
ML Infrastructure & Pipelines
Build production-grade machine learning infrastructure and data pipelines
MLOps Platforms
Implement MLOps platforms for automated model training, deployment, and monitoring. Establish CI/CD pipelines for machine learning workflows.
- MLOps platform setup (MLflow, Kubeflow, SageMaker)
- Model training and deployment pipelines
- Experiment tracking and model versioning
- Automated retraining and deployment workflows
ETL/ELT Pipelines
Build reliable data pipelines that extract, transform, and load data at scale. Ensure data quality and consistency across your data ecosystem.
- ETL/ELT pipeline development (Airflow, dbt, Fivetran)
- Data transformation and business logic implementation
- Data quality and validation frameworks
- Data orchestration and workflow automation
Analytics & Governance
Enable self-service analytics with robust governance
Business Intelligence
Implement BI platforms that empower business users to explore data and create insights. Design semantic layers and data models for self-service analytics.
- BI platform implementation (Tableau, Power BI, Looker)
- Semantic layer and metrics framework design
- Dashboard and report development
- User training and adoption programs
Data Governance
Establish data governance frameworks that ensure data quality, security, and compliance. Implement policies and tools for responsible data management.
- Data catalog and metadata management
- Data governance policies and compliance frameworks
- Access control and data lineage tracking
- Data privacy and security compliance
Fast-Track Your AI Implementation
Our AI QuickLaunch package turns your strategy into a production-ready MVP in 4-6 weeks.
AI QuickLaunch
4-6 weeks delivery
Production-ready AI MVP with full deployment, training, and ongoing support
Discovery & Planning
- Rapid Discovery Workshop
- Use Case Validation
- AI/ML Architecture Blueprint
Development & Delivery
- Custom AI/ML Implementation
- Cloud Deployment (AWS, GCP, Azure)
- Operational Runbooks
Knowledge Transfer
- Team Training Sessions
- Technical Documentation
- Complete Code Handoff
Post-Launch
- 30-Day Support Window
- Bug Fixes & Refinements
- Production Monitoring Setup
Real Results
Grocery Supplier
Challenge
Needed to surface critical data from thousands of emails quickly, reducing time spent searching for customer information.
Our Approach
Deployed AI-powered Q&A system using LLMs to process and retrieve information from email archives.
Results
Regional Bank
Challenge
Manual audit preparation across 12 branches consumed significant resources and left gaps between assessments.
Our Approach
Implemented continuous monitoring with YearlingIQ, transforming point-in-time audits to always-ready compliance.
Results
Ready to Build Your AI & Data Platform?
Let's discuss how AI and modern data architecture can power your business initiatives.
Schedule Strategy Session