Expertise

Turn your data chaos into competitive advantage. We build the systems that make your data work as hard as you do.

Schedule a Call

Data & Analytics Strategy

Build the right foundation and insights from day one

Problem we solve

Teams build first, plan later - then pay the price. Wrong technology choices. Siloed data. No analytics roadmap. You need more than a strategy deck - you need working systems that align with business goals and deliver insights from day one.

Our approach

We start with your business objectives, then build real solutions. Map current state, design future architecture, and implement working systems that deliver immediate value. No PowerPoints - just production-ready infrastructure and analytics.

What We Deliver

  • Design modern data architectures
  • Hands-on implementation of core systems
  • Working analytics dashboards & reports
  • Customer 360 platforms
  • Documentation & knowledge transfer

Our Stack

Modern architectures (Medallion, Data Mesh) • Cloud warehouses (Snowflake, BigQuery, Databricks) • Data modeling (dbt, dimensional design) • Customer data platforms • BI & analytics tools

Typical Timeline

1-3 months

Core platform setup

Key Deliverable

Live Platform

Production-ready

Automation & Pipelines

Streamline operations with intelligent workflows

Problem we solve

Your team spends hours on manual data processing. ETL pipelines break constantly. Complex workflows require multiple handoffs. You need automated pipelines and intelligent workflows that reduce manual work and enable smart decision-making.

Our approach

We build robust data pipelines and intelligent workflows that scale. From traditional ETL to AI-powered automation, we create systems that process unstructured data, reduce manual work, and enable smart decisions. Full monitoring and control included.

What We Deliver

  • Automated data ingestion from 100+ sources
  • Real-time streaming architectures
  • ML model deployment pipelines
  • Error handling and monitoring

Our Stack

Workflow orchestration (Airflow, Prefect) • Real-time streaming (Kafka, Kinesis) • Data processing (Spark, dbt) • ML pipelines • Integration platforms

Typical Timeline

2-4 weeks

Initial pipeline setup

Time Saved

200+ hrs

Monthly average

Compliance & Governance

Pass technology audits with confidence

Problem we solve

Your technology systems lack proper access controls. Data lineage is unclear. Audit logs are incomplete. Recovery plans are untested. You need technical infrastructure that meets regulatory requirements for data systems and ensures business continuity.

Our approach

We implement technical controls and system architectures that satisfy compliance requirements. From encryption to access management to audit logging - plus disaster recovery with defined RTO/RPO targets - we build the technology foundation regulators expect.

What We Deliver

  • Security controls & access management
  • Automated compliance reporting
  • Data privacy & PII protection
  • Disaster recovery with RTO/RPO targets
  • Audit-ready infrastructure from day one

Our Stack

Identity & access management • Infrastructure as Code (Terraform) • Data governance platforms • Privacy & encryption tools • Monitoring & observability • Disaster recovery solutions

Typical Timeline

3-4 months

Full implementation

Key Focus

Built-in

Compliance by design

Data Products

Turn scattered data into business solutions

Problem we solve

Your data is trapped in silos. Teams can't access insights when they need them. Critical information is scattered across systems. You need user-facing data solutions that make information accessible and actionable.

Our approach

We believe in using the right tool for the job. Sometimes that's a simple dashboard. Sometimes it's a complex AI system. We'll help you identify which approach delivers real value for your specific challenge - from self-service analytics to advanced intelligence products.

What We Deliver

  • Data marketplaces & API products
  • Predictive scoring systems (churn, LTV, fraud)
  • Real-time recommendation engines
  • RAG-powered knowledge systems
  • Agentic AI workflows & automation
  • Customer segmentation & personalization
  • AI agents & assistants
  • A/B testing & experimentation platforms

Our Stack

LLM APIs & fine-tuning • RAG & vector search • Agentic AI frameworks (PydanticAI, LlamaIndex, LangChain) • Machine learning (Scikit-learn, XGBoost) • Custom model deployment

Typical Timeline

4-12 weeks

MVP to production

Ongoing

Iterations

Feature development

How We Build

Engineering Best Practices

Quality isn't achieved through theory but through deliberate engineering
practices that ensure security, performance, and maintainability.

Infrastructure as Code

Every resource is version-controlled and repeatable

  • •Terraform for cloud resources
  • •Containerized deployments
  • •GitOps deployment workflows
  • •Automated environment provisioning

Data Quality Engineering

Trust your data with automated quality checks

  • •Automated testing pipelines
  • •Schema versioning and evolution
  • •Data quality monitoring and alerts
  • •End-to-end testing frameworks

Security-First Development

Built with security from the ground up

  • •Zero-trust architecture
  • •Encryption at rest and in transit
  • •Automated vulnerability scanning
  • •Audit-ready logging and monitoring

Performance Optimization

Built for scale from day one

  • •Query optimization and indexing
  • •Caching strategies (Redis, CDN)
  • •Horizontal scaling architectures
  • •SLO-based performance monitoring

Observability & Reliability

Know what's happening, always

  • •Distributed tracing and logging
  • •SLA/SLO monitoring and alerting
  • •Error budgets and incident response
  • •Proactive capacity planning

Developer Experience

Ship faster with better tools

  • •CI/CD pipelines and automation
  • •Local development environments
  • •Automated testing frameworks
  • •Documentation as code