AI Platform With LLM Agents For Evidence, Action, And Learning

Leverage Your Data with Real-World Evidence to Drive Business Results and Employee Learning

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Evidence-based Intelligence for Your Enterprise

CML Insight customer Americor
CML Insight customer Fair Appraisal Now
CML Insight customer JG Wentworth
CML Insight customer Kids Read Now
CML Insight customer National University
CML Insight customer Prescience AI
CML Insight customer Polaris
CML Insight customer Texas 2036
CML Insight customer UCF
CML Insight customer US Air Force
CML Insight customer UTA
CML Insight customer Vayu
CML Insight customer Astro Mind
CML Insight customer Matter and Space
CML Insight customer carrizo springs
CML Insight customer crystal city
CML Insight customer Center for Astrophysics

Causal Learning for Evidence-Based Actions

Challenge: Complex operations demand decisions grounded in real-world evidence (RWE) and enterprise data-driven causal knowledge.
Solution: Our causal learning algorithms integrate RWE with enterprise evidence (e.g., well logs, maintenance logs) to recommend precise, evidence-based actions. Identify root causes of production bottlenecks or equipment failures with dynamic causal tracking.
Impact: Boost drilling success rates by 10-15% and reduce downtime by 15-20%, saving millions annually.

AI-Powered Time-Series Data Compression

Challenge: Terabytes of enterprise time-series data overwhelm traditional systems.
Solution: Our state-of-the-art AI models (e.g., CNNs, autoencoders) compress data by 100:1-1,000:1, reducing petabytes to gigabytes while preserving critical insights.
Impact: Slash storage costs, accelerate processing, and enable real-time analytics for seismic interpretation and reservoir prediction.

Continuous Process Improvement

Challenge: Static models fail to adapt to evolving operational challenges.
Solution: Our MLOps pipelines enable continuous process improvement through dynamic causal tracking. Dynamic updates to AI models ensure insights remain relevant, optimizing workflows and ROI.
Impact: Achieve 20-30% efficiency gains in data analysis and operational planning, enhancing agility and profitability.

Agentic LLM Frontend App

Challenge: Employees need intuitive tools to access insights and upskill in a complex industry.
Solution: Our agentic LLM app provides a natural language interface, enabling employees to query insights (e.g., “What caused the recent prediction drop?”), access predictive/prescriptive recommendations, and engage in upskilling modules for continuous learning. Knowledge retention is enhanced through enterprise-wide data integration.
Impact: Empower your workforce, reduce training time by 30%, and retain critical expertise for sustainable growth.

Building Your AI Infrastructure to Empower Your teams

Building your AI Infrastructure to empower your teams
CML Insight eBook Fall 2022

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