Subscribe and start making the most of every engagement.
Custom AI Models
We develop custom machine learning models that solve your specific problems. Recommendation engines, fraud detection, demand forecasting—trained on your data, optimized for your goals.
AI & Machine Learning
Enterprise-grade ML tools and frameworks
Production-ready AI models with the infrastructure to operate them.
Models optimized for your specific use case and data.
RESTful APIs for real-time predictions with batch support.
Automated training, validation, and deployment infrastructure.
Feature importance, performance metrics, and operational guides.
A proven methodology for building AI that works in production.
Define the business problem, success metrics, and data requirements.
Clean, transform, and engineer features from your data.
Train, validate, and optimize multiple model architectures.
Deploy with APIs, monitoring, and automated retraining pipelines.
Structured options from proof-of-concept to AI platform builds.
Validate feasibility with sample data and baseline model.
$15,000 - $25,000
Full model development with APIs, monitoring, and training.
$40,000 - $70,000
Ongoing model optimization and new model development.
$10,000 - $20,000/mo
Results from custom AI implementations we've built.
"The recommendation engine increased average order value by 23%. Best AI investment we've made."
"Fraud detection catches patterns our rules missed. False positives dropped 60%."
"The scoring model prioritizes leads that actually convert. Sales efficiency up 35%."
"The recommendation engine increased average order value by 23%. Best AI investment we've made."
It depends on the problem. Classification may need 1,000+ labeled examples; recommendations work with user behavior data. We assess during discovery.
POCs take 4-6 weeks. Full production models typically take 8-14 weeks depending on complexity and data readiness.
Yes. We use explainability techniques (SHAP, LIME) to show feature importance and decision factors. Critical for stakeholder trust.
We establish benchmarks early. If a model can't beat baselines, we're transparent about limitations and pivot to alternative approaches.
Was this article helpful?
Share your problem and data. We'll assess AI feasibility and potential impact in a 30-minute call.