Case Study
AI Solutions for Your Most Complex ChallengesDiscover how we’ve helped businesses overcome their toughest obstacles with innovative, tailored AI solutions that drive measurable results.
Intro
Accelerating Disaster Response and saving lives with AI
Problem:
Natural disasters claim an average of 60,000 lives globally each year, underscoring the critical importance of the “Golden Hour” for saving lives and mitigating damage. While real-time imagery from UAVs, aerial surveillance, and satellites provides essential information, there was a lack of AI models capable of accurately classifying disaster images in real time and at scale.
The Problem?
No efficient ML models to classify disaster images in real-time, limiting timely response efforts.
Solution:
AccelerateWithAI partnered with a nonprofit organization to design and implement a cutting-edge AI classification model powered by multimodal large language models. This solution integrated advanced AI capabilities with human precision, enabling accurate disaster damage classification from satellite images.
- Models used: CLIP2 framework with ViT-B/32 Transformer Architecture
- Tools used: Real-time satellite imagery processing and GIS dashboards
Impact:
The new system processed 10,000 satellite images in under 2 hours, a task that previously required 8 days with batch processing—a dramatic improvement in speed and efficiency. This real-time classification capability provided actionable insights to ground response teams, significantly enhancing their ability to save lives and mitigate further damage during disaster events.
Details
Re-centering Sustainability Beyond Humans
Challenge
In a groundbreaking effort to understand interspecies communication, researchers aimed to decipher the “language” of sperm whales—a challenge never before attempted. Existing solutions for processing large-scale acoustic and behavioral datasets were nonexistent, requiring the development of innovative AI models capable of interpreting whale communication signals.
The Problem? No prior systems or models to analyze and interpret sperm whale communications, necessitating the creation of large-scale AI-driven acoustic and behavioral analysis frameworks.
Solution
AccelerateWithAI collaborated with a nonprofit organization to build cutting-edge AI models for deciphering the acoustic signals of sperm whales. This solution combined Generative AI and Transformer-based architectures to create audio embeddings and analyze vast acoustic datasets.
- Models used: Generative AI with Transformer model architecture for audio embeddings
- Tools used: Serverless architecture for scalable processing of ad-hoc acoustic data
impact
The initiative successfully processed hundreds of petabytes of acoustic data, paving the way for a revolutionary interspecies language translation system. By expanding the concept of “we” to include other species, this effort redefined our understanding of sustainability and interspecies communication, fostering a deeper connection with the natural world.
Details
Revolutionizing Fraud Detection in Insurance
Challenge
Fraudulent claims in the insurance industry erode trust, inflate operational costs, and lead to higher premiums for genuine policyholders. Detecting these claims in real-time at scale remains a significant challenge, requiring advanced AI solutions to safeguard fairness and reduce financial losses.
The Problem? A lack of robust ML models to identify fraudulent claims in real time and at scale.
Solution
AccelerateWithAI partnered with the customer to develop an advanced AI fraud detection system leveraging multimodal data such as text, images, and videos. The solution combined multi-modal vector embeddings with a fine-tuned XGBoost algorithm to automate real-time claims ingestion and fraud detection processes.
- Models used: Multi-modal vector embeddings and fine-tuned XGBoost algorithm
- Tools used: CICD pipeline integrated into an ML-Ops framework for scalable deployment
impact
The AI-driven solution enabled real-time claims processing and accurate fraud detection, seamlessly embedding business expertise into advanced algorithms. By identifying fraudulent claims efficiently, the customer saved millions of dollars in monetary losses while improving customer retention by ensuring faster and fairer claim resolutions for genuine policyholders.
Details
Enabling Predictive Maintenance with AI
Challenge
Machinery maintenance failures result in unplanned downtime, disrupting production, delaying deliveries, and damaging customer relationships, leading to significant financial and reputational losses. Predictive maintenance is essential to prevent these failures, but a lack of advanced ML models hindered proactive failure identification.
The Problem? No ML models capable of accurately identifying machinery failures in advance.
Solution
AccelerateWithAI collaborated with the customer to develop a state-of-the-art AI platform for Predictive Analytics. The platform ingested data from over 2,000 IoT sensors, cleaned and enriched it, performed ML predictions, and seamlessly delivered results to an external data store—all with an SLA of under 5 minutes.
- Tools used: IoT data ingestion pipeline, data cleaning and enrichment frameworks, and scalable machine learning models.
impact
The Predictive Analytics platform empowered the customer to process vast amounts of IoT data in real time, enabling proactive maintenance strategies. This significantly reduced downtime, optimized operational efficiency, lowered costs, and improved overall machinery performance, ensuring business continuity and customer satisfaction.