Extracting Actionable Insights
Analyze and interpret both structured and unstructured data by diving into historical datasets and processing new ones to generate real-time insights for data-driven decisions. Uncover hidden patterns and trends that can have you act on unique growth opportunities.
Process Automation & Optimization
Whether it's anomaly detection, pattern recognition, or the automation of repetitive tasks, our ML solutions help manage complex processes, making it simpler to monitor every aspect of your business and improve how it runs.
Predictive Analytics and Forecasting
Adapting quickly to customer needs while anticipating and using market shifts to your advantage is a data superpower. Replace guesswork with predictive models that can forecast customer behavior, prevent fraud, and improve production planning.
Our work speaks for itself
Discover how we helped industry leaders build their data-driven future. Get a deeper understanding of our AI & Data solutions and the impact they have on businesses like yours.
- The world's largest privately owned Fragrance and Flavor company dsm-firmenich breaks new ground in chemical formula generation, creating the world's first AI-generated flavor and AI-enabled fragrance.
How Roche Uses ML to Boost Their Digital Pathology CapabilitiesPharma company leverages AI to augment and support pathologists in assessing the toxicity of drugs better and faster than ever, increasing the transparency of the quality assurance process and elevating patient care.
How Nestlé Uses Sound-Based Machine Analytics to Prevent DowntimeNestlé uses sound-based machine analytics to detect machine anomalies and ensure fast and accurate interventions to prevent machine failures, have fewer disruptions, and improve throughput.
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Read more on Data Science
10 Questions to Ask before Adopting AI for AML Fraud Detection
The rapid adoption of AI in fraud detection is transforming the way financial institutions approach Anti-Money Laundering (AML) strategies. But before embracing these new technologies, financial institutions need to ask some hard-hitting questions: How robust are current compliance processes? Is the system flexible enough to cover the latest regulations? And is the team truly ready for this tech revolution?
How AI-Powered Drug Development is Reshaping Pharmaceutical Research
For every new drug brought to the market, it costs $6.16 Billion and takes more than 10 years of work. Hence, pharma companies are always interested in new strategies that can facilitate and accelerate the drug development process.
Let’s Talk AI Strategy
Most companies believe that AI will seamlessly and magically integrate into their structure. However, it's important to understand that AI is not like a genie in a bottle and it is crucial to have a solid AI strategy in place to achieve the desired outcome.