From fragmented platforms to unified predictive intelligence. We connect your entire tech stack to automate workflows, score leads, and drive revenue.
Integrating with the tools you already use
Four core capabilities that transform how your organization uses data.
Production-grade ETL/ELT pipelines on Snowflake, Databricks, and Azure with dbt modeling layers.
Custom ML models for lead scoring, churn prediction, and CLV forecasting powered by OpenAI.
Trigger-based automations via n8n and custom API routing connecting warehouse to CRM and ads.
Real-time C-Suite dashboards with automated KPIs in Tableau, Power BI, or Looker.
Request a free data audit. We'll analyze your stack, identify quick wins, and deliver a custom roadmap.
Request Data AuditA complete stack for enterprises that demand mathematical rigor in every marketing decision.
Production-grade ETL/ELT pipelines on Snowflake, Databricks, and Azure with dbt modeling layers.
Explore →Custom ML models for lead scoring, churn prediction, and CLV forecasting powered by OpenAI.
Explore →Trigger-based automations via n8n and custom API routing connecting warehouse to CRM and ads.
Explore →Real-time C-Suite dashboards with automated KPIs in Tableau, Power BI, or Looker.
Explore →We build the foundation every data-driven enterprise needs: production-grade pipelines, governed warehouses, and real-time data infrastructure that scales.
Your data lives in dozens of systems — CRM, ERP, ad platforms, transactional databases, spreadsheets. We architect centralized cloud warehouses that ingest, validate, transform, and serve data to every team. No more silos. No more conflicting numbers. No more analysts spending 80% of their time cleaning data.
Automated pipelines that extract, transform, and load data into your warehouse on schedule or in real time.
Purpose-built Snowflake, Databricks, or BigQuery architectures with proper schema design and cost optimization.
Semantic layers using dbt that transform raw data into clean, tested, documented business models.
Automated quality checks, freshness monitoring, lineage tracking, and access controls.
Typical reduction in reporting time
Average databases consolidated into one
Reduction in analyst time on data wrangling
Custom machine learning models trained on your data — not generic benchmarks — to predict behavior, optimize marketing, and drive revenue.
We deploy production-grade ML models that integrate directly with your marketing and sales workflows. From lead scoring to churn prediction — every model is built for your specific data, validated rigorously, and monitored continuously.
ML models scoring every lead by conversion probability using behavioral and firmographic signals.
Early warning systems identifying at-risk customers weeks before they churn.
Predictive CLV models informing acquisition budgets and personalization engines.
Econometric models quantifying causal impact of every channel to optimize budget allocation.
Avg. increase in sales conversion
Typical CAC reduction from MMM
Prediction accuracy for no-show models
Trigger-based automations connecting your data warehouse to every tool in your stack — eliminating manual processes.
Your warehouse holds intelligence. Your CRM, email platform, and ad accounts need it. We build automated bridges using n8n, custom APIs, and event-driven architectures. Zero manual intervention.
Automated workflows firing when data conditions are met — new high-score lead, churn risk, anomaly.
Real-time sync between warehouse and Salesforce, HubSpot, or Dynamics with enriched ML fields.
Automated audience lists, suppression management, and multi-channel triggers from predictive signals.
Slack, email, and SMS alerts for anomalies, KPI breaches, and model performance issues.
Analyst hours saved per year
Latency from event to action
Elimination of manual data entry errors
Real-time dashboards bridging the gap between your data warehouse and the C-Suite.
Interactive dashboards giving leadership real-time visibility into campaign performance, customer behavior, pipeline health, and financial KPIs. Connected directly to your cloud warehouse, every number updates automatically.
High-level KPI views for C-Suite with drill-down for directors and managers.
Real-time analytics across all channels with attribution, ROAS tracking, and budget pacing.
Automated alerts when KPIs deviate significantly from expected ranges.
Scheduled PDF exports, email digests, and Slack notifications to stakeholders.
Speed improvement vs manual Excel
Manual errors after automation
Executive adoption rate
We solve data and marketing challenges across every vertical.
HIPAA-compliant patient journey analytics. Predict appointment no-shows with 89% accuracy, optimize local acquisition spend, and automate patient re-engagement workflows.
Connect ERPs (NetSuite, Odoo, SAP) with marketing data. Forecast long-cycle B2B demand, automate lead scoring for high-ticket contracts, and unify supply chain with demand signals.
Merge POS, e-commerce, and ad platform data into a single customer view. Build predictive CLV models, run hyper-personalized campaigns, and optimize inventory-aware budgets.
Multi-touch attribution beyond last-click. Automated churn prediction, PLG funnel optimization, and revenue forecasting models your board can trust.
Risk-aware customer segmentation, compliant data governance, propensity-to-buy models for financial products, and fraud signal integration with marketing suppression.
Student enrollment prediction, retention analytics, LTV modeling for subscription platforms, and marketing attribution across long decision cycles.
Real enterprise engagements delivering measurable business outcomes.
A global manufacturer had 22 disparate regional databases with different schemas and update frequencies. We designed a centralized Snowflake warehouse with automated ingestion pipelines and a unified semantic layer. Reporting dropped from days to seconds. Manual reconciliation was eliminated entirely.
A B2B enterprise routed every lead through identical qualification. We built a custom ML model trained on two years of CRM data. The model scored leads in real time, increasing conversion by 35% without increasing ad spend.
A SaaS leader allocated an eight-figure budget based on historical proportions. We built a Marketing Mix Model quantifying diminishing returns across every channel. CAC dropped 22% while maintaining total lead volume.
Our platform connects to your entire tech stack. No rip-and-replace required.
Describe your challenge. We respond within 24 hours with a preliminary assessment.
We'll respond within 24 business hours.
1. We schedule a discovery call.
2. Free preliminary data audit.
3. Custom roadmap with projected ROI.
We are a lean, high-performance team solving hard problems at the intersection of data engineering, machine learning, and marketing science.
Snowflake / dbt / Airflow · Remote
Python / PyTorch / MLflow · Remote
SQL / Tableau / Looker · Remote
B2B SaaS · South Florida / Remote
Don't see your role? Email [email protected] with your CV.
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