Mobile App Solutions
AI apps and integrations
AI apps turn language models and machine learning services into useful chat, recommendation, analysis, and automation experiences.
What does this solution provide?
We add AI when it solves a measurable user or operational problem, not simply because it attracts attention. The use case, data source, quality target, cost, and points that require human approval are defined before the first release.
Chatbots, intelligent search, personalized recommendations, content generation, document analysis, and workflow automation can connect to a mobile product through suitable models and APIs. Privacy, inaccurate output, content safety, and monitoring are treated as part of the solution.
Frequently asked questions
Can AI be added to an existing mobile app?
Yes. After reviewing the current architecture, data sources, and use case, a suitable model or service can be connected through an API.
Does generative AI always provide correct answers?
No. It can produce inaccurate or incomplete output, so grounding, constraints, quality measurement, and human review should be planned where needed.
What determines the cost of an AI feature?
Cost varies with the model, request volume, data processing, response length, latency requirements, and monitoring infrastructure.