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
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
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