Natural Language Processing (NLP) & Large Language Models (LLMs)

We can deploy AI agents that help manage publishing workflows, schedule releases, summarize media transcripts, and extract key insights from audience feedback

We provide AI-powered assistants that handle repetitive support tasks, suggest relevant answers, and escalate complex cases, freeing up your human teams

We can create intelligent agents that support field teams by generating reports, summarizing operational data, and guiding task execution

We can build AI-powered companion tutors that guide students through their studies, answer questions in natural language, explain complex topics step-by-step, and even adapt tone and examples

We provide tools that let AI read meeting transcripts, summarize decisions, and auto-generate next steps to save time and reduce manual effort

We can develop models that identify ideal trial candidates, monitor patient responses, and predict dropouts—improving recruitment and retention

We can build systems that screen resumes, match candidates to roles, and predict hiring success

We can deploy chatbots that handle common questions 24/7, freeing agents for complex issues

We can use AI to analyze media files, automatically tagging, indexing, and surfacing the most relevant content for each user or platform

We can deliver personalized fitness plans, wellness content, and coaching recommendations based on user behavior, preferences, and goals

We can automate analysis of lab reports and test data to flag anomalies and maintain compliance

We know how to create tailored e-commerce experiences, recommending products, adapting content, and engaging users based on behavior and preferences

We can build recommendation engines and personalized content systems that adapt in real time to customer behavior, boosting engagement and conversion

We can build AI agents that monitor logs, summarize incidents, and guide teams through security protocols, reducing response time and human error

We ensure your AI systems follow safe deployment practices—protecting sensitive data and aligning model behavior with internal compliance rules