Our Products

Overview

Product Intelligence leverages state-of-the-art causal inference methodologies to help you understand not just what's happening with your product, but why it's happening. Our tools go beyond correlation to identify true causal relationships, enabling you to make decisions with confidence.

Key Features

Causal Discovery: Automatically identify causal relationships in your data using cutting-edge algorithms that reveal hidden dependencies and influence patterns.

Simulation & What-If Analysis: Build sophisticated models that simulate different scenarios, helping you predict outcomes before implementing changes.

Attribution Models: Understand which factors truly contribute to key metrics like user engagement, retention, and revenue.

Counterfactual Analysis: Answer critical "what would have happened if" questions to evaluate past decisions and optimize future strategies.

Use Cases

• Product-Market Fit: Identify which product features and user segments drive the most value
• User Journey Analysis: Understand causal paths that lead to conversion or churn
• Feature Impact: Measure true impact of product changes, accounting for confounding factors
• Pricing Strategy: Model how pricing changes affect different customer segments

Overview

Product Experimentation provides a complete solution for running randomized controlled experiments at scale. From simple A/B tests to complex multivariate experiments, our platform ensures statistical rigor while making experimentation accessible to your entire team.

Key Features

Experiment Design & Setup: Intuitive interface for designing experiments with built-in best practices for randomization, sample size calculation, and statistical power analysis.

Real-Time Analytics: Monitor experiment results as they come in with sequential testing methodologies that let you make decisions faster without sacrificing statistical validity.

Multi-Armed Bandits: Automatically allocate traffic to winning variants using advanced bandit algorithms, maximizing learning while minimizing opportunity cost.

Heterogeneous Treatment Effects: Understand how different user segments respond to changes, enabling personalized experiences based on solid experimental evidence.

Use Cases

• Feature Testing: Validate new features before full rollout
• UI/UX Optimization: Test design variations to improve user experience
• Pricing Experiments: Find optimal pricing strategies through controlled tests
• Marketing Campaigns: Test messaging, channels, and targeting strategies
• Onboarding Flows: Optimize user activation and early engagement

Overview

Asset Optimization combines advanced mathematical optimization with domain expertise to help organizations maximize the value of their physical and digital assets. Our solutions address complex operational challenges across multiple industries.

Industry Solutions

Energy Systems: Optimize power generation, distribution, and storage with tools that balance cost, reliability, and sustainability. Our models handle complex constraints including grid stability, renewable intermittency, and regulatory requirements.

Communications Networks: Maximize network capacity and performance through intelligent resource allocation, predictive maintenance, and traffic optimization. Improve quality of service while reducing operational costs.

Mobility & Fleet Management: Optimize routing, scheduling, and resource allocation for transportation fleets. Reduce costs, improve service levels, and minimize environmental impact through data-driven operations.

Core Capabilities

• Real-Time Optimization: Make optimal decisions in milliseconds with our high-performance solvers
• Predictive Maintenance: Reduce downtime and extend asset life with ML-powered maintenance scheduling
• Capacity Planning: Optimize long-term investments with scenario analysis and robust optimization
• Demand Forecasting: Anticipate future needs with state-of-the-art forecasting models