Computer vision for image recognition, object detection, quality inspection, and visual analysis. Multilingual AI for building assistants that speak the languages your users actually speak. Two capabilities, often deployed together.
We pick the best-fit components based on your data volume, latency needs, and privacy requirements.
NutriAI is a live demo of vision AI applied to food recognition. Take a photo of any meal to see it work.
Live demo
Vision AI · HealthTech · Food Recognition
Snap a photo of any meal. NutriAI identifies the food, estimates calories, macros, and nutritional values. Live in production.
Open nutriai.onpointsoft.com arrow_outwardImage recognition, object detection, food/product identification, defect inspection, medical image analysis, receipt/document OCR, visual search. If humans can do it by looking at an image, a vision model probably can too.
30+ out of the box, including Hindi, Spanish, Portuguese, French, German, Arabic, Chinese, Japanese, Korean, Russian, and most European languages. We can add regional dialects with fine-tuning.
Yes. Fine-tuning on your product catalog or domain-specific images typically takes 500-2000 labeled samples and 1-2 weeks of iteration. Accuracy jumps significantly for domain-specific queries.
Yes. Vision inference typically 200-800ms per image. Multilingual chat matches text chat latency. Fast enough for camera-based workflows, live moderation, and interactive assistants.
NutriAI (food identification for nutrition tracking), Sugar Smart Farm Bot (multilingual crop advice with image-based disease detection), quality inspection in manufacturing, multilingual customer support in India and MENA, visual search in e-commerce catalogs.
Tell us the image workflow you'd love to automate, or the language your product doesn't speak. We'll show you what vision AI or multilingual AI would look like for it.
