Our AI team utilizes third-party AI software APIs to create tailored solutions that enhance and extend existing AI-driven applications.
A fully automated video-interview platform that generates role-specific questions, employs GPT-3.5 Turbo for dynamic candidate interactions, and renders realistic AI avatars with synchronized lip movements. Deployed on AWS (Polly, Transcribe, TensorFlow Serving), it has reduced average hiring time by over 70%.
Integrates data from 3,000+ IoT sensors to predict bin fill rates one week in advance, updating forecasts daily with AWS Forecast. Achieving a mean absolute error under 10%, this solution enables municipalities to schedule pickups proactively, cutting operational costs and improving service reliability.
Combines machine-learning-driven fill-level predictions with Google OR-Tools and HERE Maps for geospatial visualization to compute optimal waste-collection routes. The system balances timing, vehicle capacity, and traffic, delivering double-digit percentage savings in fuel and labor expenses.
A deep-learning–powered chatbot that answers customer inquiries in real time, reducing support tickets by up to 40%. Built with TensorFlow NLP models and deployed seamlessly on client websites, it maintains high accuracy across diverse question formats and scales to handle peak demand.
A fully automated video-interview platform that generates role-specific questions, employs GPT-3.5 Turbo for dynamic candidate interactions, and renders realistic AI avatars with synchronized lip movements. Deployed on AWS (Polly, Transcribe, TensorFlow Serving), it has reduced average hiring time by over 70%.
Integrates data from 3,000+ IoT sensors to predict bin fill rates one week in advance, updating forecasts daily with AWS Forecast. Achieving a mean absolute error under 10%, this solution enables municipalities to schedule pickups proactively, cutting operational costs and improving service reliability.
Combines machine-learning-driven fill-level predictions with Google OR-Tools and HERE Maps for geospatial visualization to compute optimal waste-collection routes. The system balances timing, vehicle capacity, and traffic, delivering double-digit percentage savings in fuel and labor expenses.
A deep-learning–powered chatbot that answers customer inquiries in real time, reducing support tickets by up to 40%. Built with TensorFlow NLP models and deployed seamlessly on client websites, it maintains high accuracy across diverse question formats and scales to handle peak demand.
Building and fine-tuning machine learning and deep learning models tailored to your unique data and objectives.
From document classification and sentiment analysis to chatbots and voice-enabled assistants, we help you unlock the power of text and speech.
Leveraging state-of-the-art detection, segmentation, and 3D reconstruction techniques to interpret and act on visual data.
Crafting your roadmap for AI adoption, from proof-of-concept through enterprise-wide roll-out, with measurable KPIs and governance frameworks.
Architecting end-to-end data pipelines, from ingestion and ETL to feature engineering and model deployment.
Forecast demand, anticipate maintenance needs, and optimize operations using advanced statistical and neural forecasting methods.
Applying route-planning, scheduling, and resource-allocation algorithms to drive efficiency and cost savings.
Ensuring scalable, resilient AI services via AWS (SageMaker, EC2, Lambda), Docker/TensorFlow Serving, and edge-optimized solutions.
Building and fine-tuning machine learning and deep learning models tailored to your unique data and objectives.
From document classification and sentiment analysis to chatbots and voice-enabled assistants, we help you unlock the power of text and speech.
Leveraging state-of-the-art detection, segmentation, and 3D reconstruction techniques to interpret and act on visual data.
Crafting your roadmap for AI adoption, from proof-of-concept through enterprise-wide roll-out, with measurable KPIs and governance frameworks.
Architecting end-to-end data pipelines, from ingestion and ETL to feature engineering and model deployment.
Forecast demand, anticipate maintenance needs, and optimize operations using advanced statistical and neural forecasting methods.
Applying route-planning, scheduling, and resource-allocation algorithms to drive efficiency and cost savings.
Ensuring scalable, resilient AI services via AWS (SageMaker, EC2, Lambda), Docker/TensorFlow Serving, and edge-optimized solutions.
Customer satisfaction is a primary goal for our company
Dunesync exceeded all expectations! Their professionalism, and dedication ensured a seamless experience. The results were outstanding, and their commitment to excellence truly sets them apart.
AI (Artificial Intelligence) and Machine Learning (ML) solutions use data-driven algorithms to automate tasks, recognize patterns, and make intelligent decisions without human intervention
AI can enhance efficiency, automate processes, improve customer experiences, provide data-driven insights, and optimize decision-making across various industries.
AI and ML are used in retail & e-commerce, healthcare, finance, manufacturing, logistics, marketing, cybersecurity, and more to drive innovation and efficiency.
AI analyzes sensor data from machines to predict potential failures, allowing businesses to schedule maintenance before breakdowns occur, reducing downtime and costs.
Yes! AI solutions in finance and healthcare follow strict security, compliance, and ethical standards to ensure accuracy, privacy, and risk management
Absolutely! AI detects fraudulent transactions in real-time by analyzing patterns, anomalies, and user behavior to flag suspicious activities.
AI integration depends on your needs. You can start by implementing chatbots, data analytics, automation tools, or AI-powered recommendations tailored to your industry.
We’re not just a software house, we’re your innovation partner.
Driven by creativity, committed to quality, and dedicated to building digital solutions that make a real impact.
sales@dunesync.com
+92 309 149 3368
