From first data systems to enterprise scale. No retainer required — start with a single project and grow into a partnership as your needs evolve.
Strategy, roadmaps, and foundational systems
Typical range for assessments, roadmaps, and foundational builds
Not sure where to start with your data? We help you figure it out. Through assessment, roadmap planning, and hands-on guidance, we help you understand what data you have, what you need, and how to get there. From consolidating scattered spreadsheets to setting up your first data collection systems.
Connect Shopify, Google Analytics, and email marketing into a single dashboard showing revenue, customer acquisition cost, and product performance.
Track MRR, churn, LTV, and customer health by connecting Stripe, your CRM, and product usage data into cohesive reporting.
Pull together Google Ads, Facebook Ads, and website analytics to show clients ROI and campaign performance automatically.
Dashboards, process automation, and custom applications that eliminate manual work
Typical range for dashboards, automation, and custom applications
Build the tools your business needs to run smoothly — and automate the repetitive work that slows you down. We create analytics dashboards, internal tools, and custom automation that keeps your systems in sync. Stop copying data between spreadsheets, manually sending reports, or chasing down information. We build solutions that do the work for you.
Daily/weekly reports generated and delivered automatically. Pull from multiple sources, apply business logic, format and email to stakeholders — no manual work required.
Keep your CRM, accounting, inventory, and reporting in sync automatically. When data changes in one system, it flows to the others. No more manual data entry or copy-paste.
Unified dashboard pulling from Google Ads, Facebook, website analytics. See attribution, ROI, and campaign performance in one place - no more spreadsheet hell.
Track stock levels, receive reorder alerts, manage suppliers, and generate reports. Custom-built for your specific inventory workflow and business rules.
Automated NPS surveys, satisfaction scoring, and churn risk alerts. Identify at-risk accounts before they leave and your biggest advocates for referrals.
ML/AI platforms, complex web applications, and large-scale infrastructure
Typical range for complex web applications, ML/AI platforms, and large-scale systems
Production-grade systems built to scale. We build machine learning pipelines, AI-powered applications, complex web applications, large-scale data platforms, and sophisticated internal systems. Whether you're implementing predictive analytics, building data-intensive SaaS products, scaling to handle massive data volumes, or creating enterprise platforms, we deliver systems that perform under real-world conditions.
Machine learning models that map multi-touch attribution across channels and recommend optimal budget allocation. Predict which marketing spend drives the highest ROI.
ML model that scores customer churn risk based on usage patterns, support tickets, and engagement. Automatically alerts your CS team 30 days before likely churn.
Process millions of user events per day for instant personalization, fraud detection, or operational monitoring. Built on Kafka, Snowflake, or BigQuery.
Build enterprise web applications that handle complex data operations at scale. Multi-tenant architecture, advanced analytics, real-time processing, and production-grade reliability.
Building teams, best practices, and sustainable operations
Project-based or retainer engagements, typically $10K - $50K+
Ready to build internal data capabilities? We help you establish data teams, implement best practices, and create sustainable operations. From hiring your first data analyst to scaling a full data organization, from establishing DataOps practices to training your team - we provide the strategic and hands-on support to build capabilities that last.
Define the role, create job description, screen candidates, conduct technical interviews, and onboard your first data hire with a 30-60-90 day plan.
Set up dbt for data transformation, establish version control workflows, create documentation standards, and train your team on the modern data stack.
Organizational design for growing teams. Define roles (analytics, engineering, science), reporting structure, and workflows that prevent chaos as you scale.
Whether you're just starting out or scaling an enterprise team, let's discuss your data journey.