Analytics Consulting Services
Analytics strategy tied to business goals.
What We Deliver
We close the gap between raw data and reliable, decision-ready answers.
Analytics strategy tied to business goals.
Fast BI dashboards on accurate data.
KPIs everyone measures the same way.
Built for your data model and workflows.
Analytics architecture with governance.
Fast, accurate answers at data scale.
Clear answers on customers and revenue.
Architecture to rollout, end to end.
From first-time customer insights to enterprise data unification, we work through your specific challenge with you.
We start with the decisions you need to make, then build an analytics strategy fit to your data and team.
We build BI dashboards on accurate data, fast enough for daily use and shaped around real questions.
We define what good looks like, build correct metric logic, and end arguments over whose numbers are right.
When Power BI or Tableau hit their limits, we build the custom logic and connectors that close the gap.
We design analytics infrastructure that handles governance, access control, and legacy systems at scale.
We build predictive models, anomaly detection, and cohort analysis that surface what standard reports miss.
We'll review what you have, talk through what's not working, and tell you honestly what a realistic improvement looks like — and whether we're the right team to help you get there.
Book a Discovery Call
Real numbers from analytics work we shipped — measured in production, not a pitch deck.
Practice Management System → 70% less charting time
Legal Document Management → 60% faster drafting and review
Social Personalization → 70% engagement improvement
Crypto Trading Analytics → 15% monthly ROI improvement
Brain MRI Segmentation → 90%+ Dice segmentation accuracy
Workforce Management → 45% scheduling efficiency gain
Practical solutions that solve real business problems and create measurable, lasting value.
We built an AI-first EHR with ambient clinical scribe, smart ICD-10/CPT code suggestions, and automated claim pipeline — so clinicians focus on patients, not paperwork.
We delivered an AI-powered legal platform with jurisdiction-aware contract drafting, OCR intelligence, and automated compliance scoring across U.S. and Mexican frameworks.
We built an AI-first social platform with hybrid recommendation engine, real-time toxicity detection, and BERT/GPT sentiment analysis for safer, more relevant communities.
We developed an autonomous trading system combining LSTM price prediction, TensorFlow sentiment analysis of Reddit/Twitter, and XGBoost signal enhancement with automated risk management.
We built a 3D U-Net segmentation engine with hybrid Dice + Focal loss, FastAPI real-time inference, and MLflow monitoring — enabling real-time stroke triage.
We delivered an AI-driven workforce platform with predictive conflict resolution, GPS-verified attendance, multi-view scheduling, and AI-generated onboarding content.
We built a hybrid YOLO + U-Net architecture with dynamic scaling algorithms and GPU-accelerated PyTorch inference for real-time avatar segmentation and virtual try-ons.
The right tools for each layer — with honest guidance on where each one fits.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the BI & Visualization layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Data Warehousing layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Pipeline & Orchestration layer of the analytics stacks we build.
Part of the Languages & Libraries layer of the analytics stacks we build.
Part of the Languages & Libraries layer of the analytics stacks we build.
Part of the Languages & Libraries layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Part of the Cloud Platforms layer of the analytics stacks we build.
Our Process
Nine-plus years of analytics work shaped a process that keeps projects focused and surfaces problems early.
We review your data sources, reporting, and objectives — and define success before any architecture decisions.
We design the data model, pipeline, storage, and BI layer to your scale — with the trade-offs laid out before we build.
We build models, transformation logic, and pipelines incrementally, validating each piece so issues surface early.
We build dashboards with real user input, testing accuracy, performance, and usability against real queries.
We handle deployment, refresh schedules, and pipeline monitoring — so your team sees what is running and working.
After launch we stay on for tuning, new data sources, and evolving needs — a new dashboard or a slow query.
We review your data sources, reporting, and objectives — and define success before any architecture decisions.
We design the data model, pipeline, storage, and BI layer to your scale — with the trade-offs laid out before we build.
We build models, transformation logic, and pipelines incrementally, validating each piece so issues surface early.
We build dashboards with real user input, testing accuracy, performance, and usability against real queries.
We handle deployment, refresh schedules, and pipeline monitoring — so your team sees what is running and working.
After launch we stay on for tuning, new data sources, and evolving needs — a new dashboard or a slow query.
Recognized by leading industry partners.
Get in touch
Slow reporting, inconsistent metrics, or no clear answers? Tell us what's going on.
Most businesses sit on data that could change how they operate. The hard part is getting it into a form that's reliable, accessible, and connected to the decisions that matter. That's the work we do.
Start the Conversation
Strategy, KPI design, data modeling, pipelines, BI dashboards, and ongoing support — scoped to your priorities.
Unsure what to measure? That's consulting. Know what you need but lack capacity? That's development.
Four to eight weeks for a focused dashboard or KPI framework; two to five months for a full BI build.
Yes. We build from what you already have — extending, improving, or replacing only where needed.
Fintech, healthcare, retail, logistics, SaaS, e-commerce, and manufacturing, among others.
Built in from the start — role-based access, audit logging, data masking, and encryption throughout.
Yes. Strategic reviews, environment assessments, and roadmap work — no build commitment required.