Quantilus

Quantilus has over 200 big data and AI experts, 200+ software engineers, 4 global locations, and 120+ solutions built. Its teams work on proof-of-concepts, prototypes, and market-ready products.

Approach

• Technology agnostic: Quantilus recommends the best architecture for each client's needs rather than being tied to a specific technology platform.
• Agile collaboration: Projects use regular checkpoints to support collaborative adaptation and iteration.
• Commitment to value: Quantilus provides knowledge, expertise, and technology to advance clients' businesses.
• End-to-end delivery: A proof of concept can be developed into a prototype and then scaled into a production go-to-market release.
• Emerging technology R&D: Quantilus invests in and works with new technologies before offering clients the benefit of its learnings.

AI capabilities

• Conversational AI: Human-like text or speech for education and training, customer service, virtual assistants, language translation, lead generation and sales, and health and wellness.
• Sentiment analysis: Processes text or spoken-language data to identify attitudes or emotions. Use cases include customer satisfaction, social monitoring, market research, financial analysis, political strategies, and self-improvement.
• Entity extraction: Extracts, organizes, and labels information from text for use in fraud detection, investment opportunities, product analysis, contract analysis, content personalization, and medical record monitoring.
• Document process automation: Automates document capture, extraction, and processing for invoice processing, contract management, loan processing, HR onboarding, regulatory compliance, and claims processing.
• Text categorization and summarization: Classifies text and condenses long content into key information. Use cases include product categorization, topic modeling, content recommendations, chatbot training, document clustering, and keyword extraction.
• Object recognition and tracking: Uses computer vision to identify and track objects in images or video. Applications include surveillance and security, inventory management and logistics, augmented reality and gaming, marketing and advertising, fraud detection, and asset management.
• Facial recognition: Identifies or verifies individuals using facial features and 2D or 3D data points. Use cases include identity verification, biometric payment systems, gaming and entertainment, healthcare, and customer service.
• Smart machines and virtual applications: Combines data-collecting smart machines with software applications that provide computing resources and data. Use cases include home devices, smart cars, health and medical devices, industrial robots, energy management systems, and personalized marketing systems.
• Sustainability solutions: Uses AI to analyze data, identify patterns, optimize resources, reduce waste, and support sustainable practices, including diversity and inclusion, fair labor and wages, employee well-being, carbon footprint reduction, and energy efficiency.

Big Data Solutions

Quantilus helps organizations use big data to gain insights into operations, customer behavior, and market trends. Its big data team includes business consultants, data scientists, system integration experts, and machine learning specialists.

Capabilities

• Big data infrastructure setup and support
• Data warehouse and data mart design and implementation
• Machine learning and data mining models
• Interactive data visualizations

Applications

• Predictive analytics: Uses historical data, statistical algorithms, and machine learning to identify likely future outcomes. Use cases include financial forecasting, talent management, customer lifecycle value analysis, supply chain optimization, predictive maintenance, and risk management.
• Market segmentation and targeting: Analyzes large datasets to understand customer needs, preferences, and behaviors. Use cases include customer profiling, geospatial analysis, behavioral segmentation, lookalike monitoring, buyer intent, and market basket analysis.
• Customer analytics: Provides insights into customer behavior, preferences, and needs to support customer experience, loyalty, and growth. Applications include targeted marketing, personalization, churn prediction, merchandising strategy, product opportunities, and cross-sell strategy.
• Inventory management and operations: Uses data to forecast demand, optimize production schedules, and monitor supply chains. Use cases include demand forecasting, inventory optimization, quality control, transportation optimization, product lifecycle management, and supplier performance monitoring.
• Risk analysis: Helps organizations identify and analyze risks using data from multiple sources. Use cases include fraud detection, credit assessment, supply chain management, predictive maintenance, investments, and healthcare.
• Sustainability: Uses big data to provide insight into resource use, identify improvement areas, and support informed decisions. Applications include diversity and inclusion, fair labor and wages, health and medical devices, industrial robots, energy management systems, and energy efficiency.

1345 Avenue of the Americas New York, NY 10105

• Phone: (212) 768-8900
• Email: info@quantilus.com

Quantilus invites prospective clients to share their project needs, including needs related to software development, IT solutions, and machine learning. Its contact form requests a first name, last name, business email, company name, phone number, and details about project needs.

With more than 20 years of technical recruiting expertise, eNamix reports a 78% faster time-to-hire rate. Its recruiters screen candidates based on technical proficiency, technologies, programming languages, and requisition requirements.

Engagement models

• Contract-to-hire
• Contract
• Direct hire contingency
• Retained

Services

• Sourcing: Identifying top talent and building a staffing pipeline.
• Screening: Evaluating resumes, conducting live interviews, and presenting qualified candidates.
• Placement: Managing candidate engagement, reference verification, compensation negotiations, and onboarding.
• Payrolling: Managing payroll tasks to reduce administrative burdens and support compliance.

Roles supported

eNamix recruits for technology leadership, project and product management, architecture, software engineering, business analysis, IT governance, data science, machine learning, DevOps and MLOps, cybersecurity, cloud engineering, IT support, and quality assurance.