What services do you offer?

  • Data Analytics: Interactive dashboards, statistical summaries, actionable reporting, and visual insights.
  • Supervised Machine Learning: Predictive modeling including regression and classification, automated prediction pipelines (MLOps), and real-time or batch forecasting.
  • Unsupervised Machine Learning: Clustering, anomaly detection, and dimensionality reduction to discover patterns and uncover hidden insights.
  • Web Development: Fast, secure, accessible web applications and dashboards tailored to your needs, featuring interactive visualizations, automated reporting, and seamless backend integration using PHP, Flask, or custom-built solutions.

How is Data Analytics different from Machine Learning?

Data Analytics provides insights into historical data, highlighting trends, patterns, and performance through visualizations, summaries, and detailed reporting. Machine Learning goes further by predicting future outcomes (supervised ML) or identifying hidden groupings and anomalies (unsupervised ML), offering automation and forward-looking intelligence.

How could these services help my business?

Examples of real-world scenarios:

  • Data Analytics: A retail chain activates an inventory dashboard that highlights slow-moving products, enabling store managers to adjust restocking schedules and reduce waste.
  • Supervised ML (Profit Increase): An e-commerce site implements a product-recommendation model that personalizes suggestions for each shopper, leading to more cross-sells and higher average order value—directly increasing sales without added marketing costs.
  • Supervised ML (Cost Savings): A delivery company uses predictive models to forecast demand, allowing them to optimize staffing and vehicle routes, which reduces overtime expenses and improves on-time delivery rates.
  • Unsupervised ML (Customer Growth): A subscription business uses customer clustering to identify groups with high lifetime value. Marketing campaigns are then targeted more effectively, increasing new signups and customer retention.
  • Unsupervised ML (Fraud Prevention): A financial services provider deploys anomaly detection to flag unusual transactions in real-time, catching fraudulent activity early and preventing costly losses.
  • Web Development (E-Commerce Platform): A retailer launches a fully integrated online store, enabling customers to browse, purchase, and track orders 24/7. This expands their customer base beyond their physical location and drives consistent revenue growth.
  • Web Development (Marketing & Presence): A growing company establishes a professional, modern website that serves as the face of their brand—making it easy for new customers to discover their business, learn about their services, and take action. This helps build credibility, increases online visibility, and turns website visitors into loyal clients.
  • Web Development (Online Service Portal): A local service provider launches a secure web app where customers can schedule appointments, pay invoices, and track service status—freeing up staff time, reducing phone calls, and providing 24/7 convenience that increases customer satisfaction and loyalty.
  • Web Development (Backend Integration): A distributor upgrades to a secure order management portal that syncs seamlessly with their existing ERP, reducing manual data entry and fulfillment errors.
  • Web Development (Dashboards & Visualization): A manufacturer implements a real-time operations dashboard so leadership can track production KPIs, downtime, and bottlenecks from any device, improving decision speed and accountability.

How do I request a custom estimate?

Visit our Get an Estimate page and tell us about your requirements and timeline.

What is the typical project timeline?

Timelines depend on the complexity, scope, and size of your project. Simple sites or dashboards can be delivered in as little as 1–2 weeks, while custom data integrations, predictive models, or multi-feature web apps may take several weeks to a few months.

  • Starter websites: 1–2 weeks
  • Analytics & dashboards: 2–4 weeks
  • ML models & pipelines: 4–8 weeks or more for advanced workflows

You'll receive a personalized schedule and milestone dates during the proposal phase.

How do you ensure data security and privacy?

We follow industry best practices:

  • Encrypted data at rest and in transit
  • Role-based access controls & least-privilege principles
  • Regular backups and disaster-recovery planning

How does billing work?

We keep billing simple and transparent for all fixed-scope projects:

  • 50% Up Front: A deposit to secure your project slot and kick off planning and design work.
  • 25% at Midway Milestone: Once we've completed roughly half the project and you've reviewed progress (such as an initial website, dashboard, or working prototype), the next payment is due.
  • 25% on Delivery: The final payment is made when you approve the finish product. Delivery will be made after payment.

This milestone-based structure ensures the project moves forward with clarity, protects both parties, and keeps payments aligned with actual progress.

Can you work with our existing systems or codebases?

Absolutely. We integrate with legacy databases, third-party APIs, and in-house code, providing full documentation for maintainability.

Do you work with clients outside Michigan?

Yes. While our roots are in Michigan, we collaborate with businesses and organizations nationwide. Let's build something great together.