Ethical Lending Systems
Leverage XAI and MLOps to build sustainable automation tools.Secure AI Search
Process, archive, and manage data with more speed and accuracy.AI Homebuilding Engine
IMosaic stitches disparate data to train custom ML models that deliver optimal recommendations.Tariff Intelligence
The ability to automate the tariff classification analysis and selection process harbors the possibility for significant cost savings for both the broker and the customer.
Fraud Detection & Risk Management
Safeguard your operations and customers with our AI and ML solutions for financial services, detecting anomalies and preventing fraud before it happens.
Predictive Analytics for Investment
Leverage our AI and ML solutions for financial services to make informed investment decisions, optimizing your asset management and trading strategies for maximum returns.
Enhanced Customer Experiences
Use our AI and ML solutions for financial services to offer personalized services, from chatbots that provide instant customer support to systems that recommend customized financial products.
Operational Efficiency
Streamline back-office operations and improve financial planning and analysis (FP&A) with AI and ML solutions for financial services that offer significant business value and feasibility.
Explainable AI & BIas Auditing
As AI models become more complex, their decision-making processes can appear opaque. Explainable AI (XAI) is the key to unlocking the “black box” of AI systems, providing transparency and insights.- Model Evaluation & MLOps
- Bias Auditing
- AI Safety Framework Development
- Deployment of Explainable Models Builds Trust in AI System
Rent A Data Scientist™
Mosaic helps customers fight the AI & machine learning talent shortage by providing quick, flexible access to our North American-based data scientists, who remain committed to your projects, avoiding attrition for higher-paying roles.- Access To Award Winning Data Science
- Resource Flexibility Based On Development Cycles
- Neutral Third-Party Innovation
- AI/ML Tool Documentation & User Guides – No More Black Boxes
Project ID & Execution
Our AI and ML project support engagement model ensures that we scope out targeted use cases and build custom AI/ML models that deliver precise predictions and prescriptions tailored to your unique needs.- IP Ownership For Future Growth
- Knowledge Transfer For Empowered Teams
- Custom Source Code for Competitive Advantage
- Post-Deployment Support
Decision Dynamics
From operational enhancements to strategic decision support, our Data-Driven Decision Dynamics service is about crafting tailor-made software that aligns with your goals, optimizes decisions, and propels your business forward.- Tailored Process Optimization
- Combines Premier Agile Development with Cutting-Edge AI & ML
- Engineers Custom Tools for Enhanced Accuracy & Speed
- Data-Driven Strategy for Sustainable Business Growth
Neural Search Engine
Our Neural Search Engine is not just another search tool; it’s an intelligent solution crafted from years of data science expertise. Unlike off-the-shelf products, our engine is customized to align with your unique data landscapes, offering unparalleled accuracy in document retrieval.- Instant, Accurate Answers from Your Data
- LLM-Powered Insights for Every Business
- Named Top Insight Engine Of 2024 By CIO Review
- Secure & Scale Your AI Search
- Democratize Insights
Mosaic.Deploy
Mosaic.deploy is a comprehensive MLOps framework and platform designed to streamline the entire lifecycle of machine learning models—from development and testing to deployment and monitoring. Fast-track your ML development.- Rapid Deployment
- Cloud Integration
- Sustainable MLOps
- Post-Deployment Support
- Cost-Effective & Scalable
Quantifying Commodity Sentiment with AI
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.Read More →
Top LLM Applications for Modern Business
AI and LLMs are not just a technological leap; they’re a strategic imperative. By embracing this evolution, businesses gain a distinct advantage—staying ahead of the competition, enhancing stakeholder experiences, and optimizing both time and costs. In this white paper, we explore our top LLM business applications.Read More →
Mosaic Data Science Shares How to Prevent Algorithmic Bias in Legal Dive Article
Mosaic Data Science and Epstein Baker Green discuss the importance of developing ethical algorithms that comply with anti-discrimination laws.Read More →
AI Engine Development for Regional Homebuilding
Mosaic helped one of the US’s largest regional homebuilders deploy an artificial intelligence engine that recommends the optimal community features based on different geographic regions. The recommender delivers data-driven insights the company can trust when planning, building, and positioning new communities.Read More →
Mosaic Data Science Provides Cutting-Edge Support for National Law Firm’s Expansion of National Algorithmic Bias Auditing and Risk Management Services
Mosaic supports Epstein Becker Green by deploying AI to support the law firm’s algorithmic bias auditing & risk management services.Read More →
Geospatial Data Analysis for Machine Learning-based Customer Clustering
Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.Read More →
Analyzing Digital Platform Data to Understand User Behavior
As our world becomes more and more digitized, organizations need to leverage behavior data to provide a better customer experience and detect potential problems before they arise. This can be achieved by analyzing behavior patterns from digital platforms customers operate.Read More →
Financial Services Revenue Forecasting
The business was investigating how to incorporate modern data science techniques into their budgeting decisions. Since they didn’t have this expertise in-house, they needed an analytics partner that could provide the right capabilities to accurately model and forecast revenue and serve these results to users in the proper context.Read More →
Summarizing Text with Artificial Intelligence
Text data presents a tremendous opportunity to benefit all stakeholders of an organization – investors, employees, processes, and the all-important customer – if the organization can find a way to sift through this data in an automated way to extract key information and solve specific challenges. In that case, they could learn about their firm and... Read More →
Detect Defects on the Line with Computer Vision
Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during the product packaging process. These deep learning models can verify that a label on a package is present, correct, straight, and readable.Read More →
Production Machine Learning Auditing using MLOps
Successfully developing machine learning tools to provide value in a business environment requires much more than algorithmic knowledge and tuning. Machine learning cannot provide value in a vacuum.Read More →
An AI Approach for Consumer Lending Approval & Pricing
Traditional lending practices are a prime candidate for machine learning improvements. Lenders can make more accurate and faster decisions by shifting decision-making from analysis of individuals to analysis of trends and patterns.Read More →
Root Cause Analytics of Telemetry Failures
Root cause and diagnostic analytics is a great approach for identifying computer failures.Read More →
Advanced Statistics for Email A/B Testing
Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.Read More →
Diagnosing Windows 10 Crashes
Applying predictive AI services to identify the factors behind dreaded Blue Screen of Death.Read More →
Human Decision Making in Machine Learning Deployment for Resume Matching
Utilizing AI techniques like NLP is a great way to reduce the time it takes to find optimal candidates for job openings.Read More →
Demand Forecasting for Network Bandwidth
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.Read More →
Customer Lifetime Value & Segmentation
Developing a custom, forward-looking customer lifetime value metric is a great way businesses can improve customer relations.Read More →
