Everything your data needs, under one roof.
We work across the full data lifecycle — from setting a strategy, to building the infrastructure that supports it, to shipping the machine learning and analytics that turn it into decisions.
Data Strategy
We collaborate with your leadership team to define a comprehensive data strategy aligned with business objectives — assessing current capabilities, identifying gaps, and outlining a pragmatic transformation roadmap.
- Data maturity & capability assessments
- Operating model and governance design
- Prioritized transformation roadmaps
- Build vs. buy vs. partner guidance
What you receive
- Current-state assessment report
- Target architecture & operating model
- Prioritized 12–18 month roadmap with business cases
Ideal for
Leadership teams planning a data or AI investment and wanting a clear, defensible plan before committing budget.
Data Infrastructure
We design and implement modern data engineering solutions — pipelines, storage architectures, and real-time processing systems — engineered for efficiency, reliability, and scale.
- Batch & streaming data pipelines
- Cloud-native lakehouse architectures
- Real-time processing systems
- Cost & performance optimization
What you receive
- Production pipelines with tests & monitoring
- Architecture & runbook documentation
- Hands-on handover to your engineering team
Ideal for
Teams whose reporting or ML work is held back by fragile pipelines, siloed sources, or rising cloud costs.
Machine Learning & AI
We develop custom AI and machine learning models tailored to your specific business needs — spanning predictive analytics, natural language processing, computer vision, and generative AI.
- Predictive & forecasting models
- Natural language processing & LLM apps
- Computer vision systems
- MLOps & production deployment
What you receive
- Validated model with documented evaluation results
- Production deployment with monitoring & retraining plan
- Model cards covering limitations & responsible-AI checks
Ideal for
Organizations with a clear use case and usable data that want a model running in production — not just a notebook.
Analytics & Insights
We use advanced analytical techniques to uncover actionable insights hidden within vast datasets — equipping decision-makers with clarity for confident, strategic action.
- Executive dashboards & reporting
- Statistical & experimentation analysis
- Customer & product analytics
- Self-serve BI enablement
What you receive
- Agreed metric definitions & semantic layer
- Dashboards built in your BI tool of choice
- Analysis write-ups with clear recommendations
Ideal for
Decision-makers who have data but lack trusted numbers, consistent metrics, or time to dig for answers.
Flexible ways to work together
Advisory
Strategic guidance and roadmapping to align data investment with business goals.
- Duration
- Typically 2–6 weeks
- Pricing
- Fixed fee
Embedded delivery
Our team works alongside yours to design, build, and ship production systems.
- Duration
- Typically 2–6 months
- Pricing
- Fixed scope or monthly team retainer
Managed platform
We operate and evolve your data & AI platform, so your team can focus on outcomes.
- Duration
- Ongoing
- Pricing
- Monthly retainer with agreed service levels
Not sure which model fits? Tell us about your project and we'll recommend an approach.
We work with the stack you already have
We're tool-agnostic and recommend technology on fit, not partnerships. These are the platforms our team works with most often.
Cloud
- AWS
- Google Cloud
- Microsoft Azure
Data platforms
- Databricks
- Snowflake
- BigQuery
- PostgreSQL
Engineering
- Spark
- Kafka
- Airflow
- dbt
ML & AI
- PyTorch
- scikit-learn
- Hugging Face
- OpenAI & Anthropic APIs
- MLflow
Analytics
- Power BI
- Tableau
- Looker
- Metabase
Let's put your data to work.
Tell us where you are today and where you want to be. We'll help you find the shortest, safest path from raw data to real business impact.