How we help you win
From strategy to deployment, we deliver end-to-end AI and data solutions. Every engagement is grounded in operational reality—we build things that work, not just things that demo well.
AI & ML Strategy
Before writing a single line of code, we help you understand where AI can create real value—and where it can't. Our strategies are grounded in operational reality, not hype.
What We Deliver
- AI Opportunity Assessment — Identify high-impact use cases based on your data and goals
- Technology Roadmap — Phased implementation plan with milestones and resources
- Vendor & Tool Evaluation — Unbiased build vs. buy assessment
- ROI & Business Case — Quantified impact analysis for stakeholder buy-in
- Data Readiness Audit — Assess infrastructure's AI readiness
Our Process
Discovery & Stakeholder Interviews
Talk to leadership, operators, and data teams to understand pain points.
Data & Infrastructure Assessment
Audit current data assets, systems, and technical capabilities.
Use Case Prioritization
Score opportunities by impact, feasibility, and strategic alignment.
Roadmap & Business Case Delivery
Clear plan with timelines, costs, risks, and expected returns.
AI Readiness Assessment for Medical Device Startup
Helped a 15-person medical device company evaluate where AI could improve their quality inspection process. Delivered a prioritized roadmap with 3 quick-win opportunities.
ML Engineering
From prototype to production, we build machine learning systems that actually work in the real world. Designed for reliability, maintainability, and measurable impact.
What We Deliver
- Custom Model Development — Purpose-built ML models for your use case
- Feature Engineering — Transform raw data into predictive signals
- Model Training & Optimization — Hyperparameter tuning and architecture search
- Production Deployment — Containerized, scalable model serving with APIs
- Model Explainability — Interpretable outputs for trust and compliance
Our Process
Problem Definition & Data Exploration
Clarify success metrics and validate ML is the right approach.
Rapid Prototyping
Build a working proof-of-concept to validate feasibility.
Iterative Development
Refine features and optimize through systematic experimentation.
Production Hardening & Deployment
Package with proper testing, monitoring, and documentation.
Technologies We Use
Demand Forecasting Model for Regional Distributor
Built a demand forecasting model for a regional building materials distributor to optimize inventory levels across 3 warehouse locations.
Analytics & BI
Turn your data into decisions with dashboards, reports, and insights your team will actually use. We build analytics solutions that drive action, not just pretty charts.
What We Deliver
- Executive Dashboards — Real-time visibility into metrics that matter
- Operational Reporting — Automated reports without manual effort
- Self-Service Analytics — Empower teams to answer their own questions
- KPI Framework — Define metrics that drive business outcomes
- Data Visualization — Clear visuals that communicate insights
Our Process
Requirements & KPI Workshop
Define what decisions need data support and what metrics matter.
Data Source Mapping
Identify where data lives and plan integration approach.
Dashboard Design & Development
Build iteratively with user feedback to ensure usefulness.
Training & Adoption Support
Ensure your team knows how to use the tools effectively.
Technologies We Use
Sales Dashboard for Manufacturing Company
Created an executive dashboard for a 50-person manufacturing company, consolidating data from their CRM, ERP, and spreadsheets into one real-time view.
Data Engineering
Build the foundation that makes everything else possible. We design and implement data infrastructure that's reliable, scalable, and ready for AI/ML workloads.
What We Deliver
- Data Pipeline Development — Automated, reliable data movement
- Data Warehouse Design — Modern architecture for analytics and ML
- Data Lake Implementation — Scalable storage for all data types
- Data Quality & Governance — Ensure accuracy and compliance
- Real-time Streaming — Process data as it arrives
Our Process
Architecture Assessment
Evaluate current state and design target architecture.
Data Modeling
Design schemas optimized for your needs.
Pipeline Development
Build, test, and deploy with proper error handling.
Operationalization
Hand off with documentation and training.
Technologies We Use
Data Pipeline for E-commerce Analytics
Built automated data pipelines for an e-commerce company to sync Shopify, Google Analytics, and ad platform data into a central warehouse for unified reporting.
MLOps & Infrastructure
Keep your models running, monitored, and improving. We build the infrastructure that turns ML experiments into reliable production systems.
What We Deliver
- CI/CD for ML — Automated training, testing, and deployment
- Model Monitoring — Track performance and detect drift
- Feature Stores — Centralized feature management
- Experiment Tracking — Systematic version management
- Model Registry — Governance and lifecycle management
Our Process
MLOps Maturity Assessment
Evaluate current workflow and identify automation opportunities.
Platform Design
Architect tooling to support your ML lifecycle.
Implementation & Integration
Deploy and integrate with existing systems.
Team Enablement
Train your team and establish operational runbooks.
Technologies We Use
ML Deployment Setup for Fintech Startup
Set up a lightweight MLOps workflow for a fintech startup, enabling their data scientist to deploy and monitor models without DevOps bottlenecks.
Computer Vision
Extract insights from images and video. From document processing to real-time detection systems, we build vision AI that sees what matters.
What We Deliver
- Object Detection & Tracking — Identify and track in images/video
- Image Classification — Categorize images for automation
- OCR & Document AI — Extract data from documents and forms
- Video Analytics — Process feeds for security and QC
- Medical Imaging — AI-assisted diagnostic analysis
Our Process
Use Case Definition & Data Collection
Define what to detect and gather training data.
Annotation & Dataset Preparation
Label data with precision and build robust datasets.
Model Development & Training
Train and fine-tune leveraging pre-trained models.
Edge/Cloud Deployment
Deploy optimized models for your infrastructure.
Technologies We Use
Invoice Processing for Accounting Firm
Built an OCR solution for a small accounting firm to automatically extract data from vendor invoices and receipts, reducing manual data entry by 70%.
Ready to get started?
Whether you know exactly what you need or want help figuring it out, we'd love to hear about your challenges. Every conversation starts with understanding your mission.
Schedule a Discovery Call