Generative AI
LLM-powered applications and assistants designed around useful business tasks.
Build practical AI systems that fit real business workflows—from generative AI and AI agents to machine learning, computer vision and predictive analytics.
LLM-powered applications and assistants designed around useful business tasks.
Agentic workflows that can coordinate steps, retrieve information and support complex operational processes.
Classification, prediction and recommendation systems for data-driven workflows.
AI systems for image and document understanding, including medical-imaging-oriented project experience.
Forecasting and decision-support systems for operational and planning use cases.
Domain-specific assistants designed around the information and tasks users actually need.
Our approach starts by identifying the process, decision or information problem before choosing a model or framework. The current technology capability set includes generative AI, agentic AI, machine learning, computer vision, predictive models, recommendation engines and AI assistants.
Where appropriate, AI can be combined with custom software, automation, analytics and enterprise integrations rather than deployed as an isolated chatbot.
The current site lists generative AI, agentic workflows, machine learning, computer vision, predictive models, recommendation engines and AI assistants.
Yes. AI can be delivered as part of a broader software or integration architecture when that fits the workflow.
AI agents and agentic workflows are explicitly listed among the company's capabilities.