Generative AI, AI & Machine Learning

Turn Data Into Action, Intelligence, and Scalable AI Value 

Artificial Intelligence is transforming how industrial organizations operate, maintain assets, optimize production, and empower their workforce.

But successful AI is more than models—it requires engineering discipline, responsible governance, and a clear path to measurable business value.

Frame’s Generative AI, AI & Machine Learning Services help Energy & Industrial clients design, deploy, and scale AI capabilities across Azure, AWS, GCP, and Databricks, ensuring solutions are production-ready, cost-efficient, and aligned to real operational outcomes.

This allows us to provide our clients:

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Generative AI Strategy & Use Case Activation

Turn ideas into validated AI use cases tailored to your business and operating environment.

We help organizations:

  • Identify high-value, high-feasibility GenAI use cases
  • Design copilots, natural-language interfaces, and task automations
  • Build business cases and ROI models tied to operational KPIs
  • Navigate AI governance, risk, and responsible AI standards

Outcome: A clear, prioritized roadmap to deploy GenAI safely and at scale.

Copilot, LLM, and Agentic AI Development

Build AI-powered experiences that accelerate decision-making and frontline productivity.

Frame designs and deploys:

  • Industrial copilots for maintenance, operations, and safety
  • Text, voice, and multimodal LLM solutions
  • Retrieval-Augmented Generation (RAG) systems using enterprise knowledge
  • Agent-based orchestration for automated workflows and task completion

Compatible with Azure OpenAI, AWS Bedrock, GCP Vertex AI, and Databricks Mosaic AI.

Predictive & Prescriptive Machine Learning

Modernize your operations with predictive intelligence that drives real financial impact.

We deliver:

  • Predictive maintenance and asset health models
  • Supply chain forecasting, optimization, and anomaly detection
  • Production performance models for refining, manufacturing, and logistics
  • Safety incident prediction and operational risk modeling

Outcome: Reduce downtime, increase throughput, and make your operations more resilient.

RAG, Knowledge Engineering & Enterprise Context Integration

Your enterprise knowledge is one of your most valuable assets—if it’s accessible.

Frame builds:

  • RAG systems integrated with enterprise content (SharePoint, SAP, email, documents, OT logs, technical manuals)
  • Semantic search and domain-specific embeddings
  • Data governance and access control for safe LLM integration
  • Knowledge pipelines deployable across all hyperscalers and Databricks

This enables accurate, context-driven AI that your teams can trust.

Predictive & Prescriptive Machine Learning

Scale AI securely with production-grade pipelines and operational controls.

We implement:

  • Automated ML/LLM deployment workflows
  • Real-time monitoring, drift detection, and model lifecycle management
  • Access and approval workflows for regulated industries
  • CI/CD for ML pipelines across cloud and Databricks

Outcome: AI that’s governed, maintainable, and ready for continuous improvement.

Predictive & Prescriptive Machine Learning

Build an industrial-grade foundation for analytics, ML, and GenAI.

Our platform patterns support:

  • Azure, AWS, GCP, and Databricks Lakehouse architectures
  • Enterprise feature stores
  • Vector databases for RAG (FAISS, Pinecone, Milvus, Redis, etc.)
  • Secure data sharing and cross-domain access
  • Performance optimization and cloud cost modeling

Your teams get a scalable and future-proof AI enablement platform.operations more resilient.

The Frame Difference – An Industrial-First Approach to AI

By engaging with Frame, organizations move beyond isolated AI experiments to scalable, production-ready capabilities. Clients gain a validated portfolio of high-impact AI and GenAI use cases, deploy copilots, LLMs, and predictive models built for real operations, and establish a governed AI platform designed for continuous innovation.

The result is faster enterprise adoption of automation and GenAI, improved operational efficiency, reduced downtime, and safer outcomes—delivered with the discipline and precision required in industrial environments.

Industrial DNA + Deep Cloud Engineering

We understand the systems, constraints, and safety-critical environments of Energy & Industrial. Our AI is engineered for reality, not theory.

Cross-Cloud Expertise

Clients get flexibility to build AI wherever their data and workloads live—Azure, AWS, GCP, Databricks, or a hybrid of all three.

Value and Safety First

We combine responsible AI practices, strong governance, and measurable outcomes to ensure AI drives real business impact with minimized risk.

Built for Scale

From pilots to production to full enterprise adoption—Frame ensures your AI solutions don’t stall after the first success.

Let us take your AI from Concept to Production

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Built for these Industries

Frame applies Generative AI and Machine Learning in industries where operational reliability, safety, and scale are non-negotiable.

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Services We Offer

These AI and ML services power broader solutions that turn data into production-ready intelligence across the enterprise.

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Case Studies

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