AI-Native Services
Strategy, MLOps, data engineering, computer vision, NLP, legacy integration, custom ML, and ongoing AI operations.
AI-Native Services
Generative AI Application Development
LLM-powered features and internal tools, built on RAG architecture and evaluated properly before they ship.
AI Agent Development
Multi-step, judgment-heavy processes handled by agents with real guardrails — not just automation rules.
MLOps & Model Deployment
Getting models out of the notebook and into production, reliably.
Data Engineering & AI Readiness
Data architecture and validation work that makes AI initiatives possible in the first place.
Computer Vision Solutions
Image classification and object detection for visual-inspection bottlenecks.
NLP & Conversational AI
Turning unstructured text into something a team can actually use.
AI Integration & Legacy System Modernization
Making AI and modern tooling work with CRM/ERP systems that weren't built for it.
Custom ML Model Development
Purpose-built models for prediction problems generic tools don't solve.
Managed AI Operations & Ongoing Support
Keeping deployed models and automation frameworks healthy after launch.
AI Strategy & Advisory
A realistic roadmap for teams starting an AI initiative without an AI lead yet.