OUR SERVICES

Empowering your business with cutting-edge AI solutions tailored to your unique needs

Vision AI

Image and video AI solutions. From object detection, image segmentation to facial recognition, etc. Some creative solutions include:

Retail: Using image classification to identify products on shelves and manage inventory in real-time.
Healthcare: Employing image segmentation and classification to diagnose diseases from medical images such as X-rays or MRIs.
Manufacturing: Using image anomaly detection to identify defects in products during the quality control process.
Security: Implementing facial recognition for access control and surveillance in secure facilities.
Real Estate: Use satellite imagery to identify properties with land areas for ADU development.

From speech recognition, speech identification, audio classification to transcription and translation, etc. Some creative solutions include:

Customer Support: Using audio classification and sentiment analysis to appropriate departments.
Healthcare: Employing audio classification and emotion recognition to identify infant needs at different times of the day.
Legal: Using speech recognition to transcribe court hearings and legal proceedings.
Finance: Using speaker identification and speech recognition for secure, voice-activated banking and financial transactions.

From text classification, named entity recognition (NER), outlier detection, to text clustering, etc. Some creative solutions include:

Customer Support: Using text classification to route support tickets to the appropriate team and category .
Finance: Using topic modeling (clustering) and sentiment analysis to analyze trends from financial news and social media.
Tech: Using text outlier detection to identify anomalies in log files to aid in software debugging.
Marketing: Utilizing text clustering to group similar customer feedback and identify common issues and trends for product improvement.

From text generations, image enhancements, voice cloning and synthesis, to 3D model generations, etc. Some creative solutions include:

Content Creation: Using large language models like ChatGPT to automate and write engaging articles, blog posts, saving time and resources for businesses.
Fashion and Design: Employing image inpainting and 3D model generation to design and visualize new clothing lines or product prototypes.
Real Estate: Using image generation to augment virtual furnitures of empty properties, enhancing the buying experience for potential customers.

From image-text search, visual question answering, speech-to-text transcription to text-to-speech generation. Some creative solutions include:

Retail: Using image-text retrieval to allow customers to find items based on detailed descriptions and photos.
Entertainment: Utilizing text-to-image generation and speech-driven animation to create dynamic content for films, games, and virtual reality experiences.
Data Analysis: Convert tables in pdf or image files to tabular format in Excel.
Social Media: Using video summarization and image captioning to create engaging summaries and captions for user-generated content.

From keyword-based search, sparse and dense retrieval, to knowledge graph integration. Some business use cases include:

Real Estate: Search through city and state ordinances on latest short term rental regulations to determine eligibility for running vocational rentals.
Finance: Search through company 10-K reports and collect key data for investment strategy analysis.
Legal: Utilizing contextual re-ranking and knowledge graph integration to improve the accuracy and relevance of legal document searches for lawyers.
Medical: Retrieve doctor notes that matches specific description of medical diagnosis to facilitate medical coding tasks.

From batch vs realtime, collaborative vs content-based, tabular or graph structured data. Some of the business use cases include:

E-commerce: Using user click through or page view data to perform batch training and provide personal recommended purchases.
Music streaming: Use collaborative filtering and content-based filtering to analyze user listening history, preferences, and contextual information to provide realtime personalized music recommendations.
Advertisement: Using reinforcement learning to determine the balance between showing what the user likes vs company's promotional goals to achieve highest user satisfaction and company revenue.

From classification, regression, outlier detection, to time series prediction. Some of the business use cases include.

Supply chain: Use time series analysis to forecast demand for products based on historical sales data, seasonality, and market trends.
Subscription service: Implement predictive models to analyze customer behavior, transaction history, and engagement data to detect patterns indicating potential customer churn and predict customer's lifetime value.
Sales: Use time series analysis to predict future sales based on historical sales data, marketing campaigns, and economic indicators. Predictive models can help businesses set realistic sales targets and allocate resources effectively.