Yearling Solutions
AI & Data Engineering

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.

2-6 Weeks
QuickLaunch Deployments
Modern
Latest Data Stack
Production
Real MVPs, Not POCs
Scalable
Cloud-Native Architecture

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

Fixed-Scope Engagement

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

Ready to Build Your AI & Data Platform?

Let's discuss how AI and modern data architecture can power your business initiatives.

Schedule Strategy Session