Sunword partners with enterprises and startups to design, build, and deploy AI and machine learning solutions that deliver measurable results — not just proof of concepts.
From strategy through production deployment, we cover the full spectrum of machine learning consulting.
We help leadership teams identify high-value AI opportunities, assess organizational readiness, and build a clear roadmap for implementation — before writing a single line of code.
From computer vision and NLP to forecasting and recommendation systems, we design and train models tailored to your specific domain, data, and performance requirements.
We build the pipelines, monitoring, and deployment infrastructure that keep models performing in production — including CI/CD for ML, drift detection, and automated retraining.
We integrate AI capabilities into existing products and workflows using LLMs, vector databases, and custom APIs — turning advanced models into practical business tools.
Good models require good data. We design scalable data pipelines, feature stores, and annotation workflows that give your ML systems a reliable foundation to build on.
We upskill your internal teams through hands-on workshops, code reviews, and embedded consulting — so your organization builds lasting AI capability, not dependency.
A sample of what we've built and the outcomes it created.
Replaced manual visual inspection with a real-time computer vision system trained on custom defect categories, integrated directly into the production line.
↑ 94% defect detection accuracyBuilt an LLM-powered document analysis system that extracts key clauses, flags risk, and summarizes contracts — reducing review time dramatically.
↓ 70% reduction in review timeDesigned a multi-horizon demand forecasting system across thousands of SKUs, improving inventory efficiency and reducing overstock costs significantly.
↓ 35% reduction in overstock costsSunword LLC is an AI/ML consulting firm founded on a simple belief: the gap between AI potential and business reality is a execution problem, not a technology problem.
We work with both enterprise teams navigating large-scale ML adoption and startups building AI-native products from scratch. In both cases, our goal is the same — deliver working systems, not slide decks.
Our team brings deep hands-on experience across the full ML stack, from data infrastructure and model training to production deployment and monitoring.
We choose the right tool for the job, not the flashiest one.
Honest about what AI can and can't do for your business.
We measure success by business impact, not model metrics.
We build for maintainability, not just the demo.
