Keep Your AI, ML, and GenAI Models Accurate, Secure, and Continuously Improving.
Deploying a model is only the first mile. In Energy and Manufacturing—where conditions, equipment performance, supply chains, and workforce behavior shift daily—models degrade quickly without consistent oversight.
Frame’s Ongoing Model Support & Optimization service provides a proactive, disciplined model management program designed for high-volume, mission-critical industrial environments. We ensure your AI investments remain reliable, safe, and valuable long after deployment.
We proactively detect when models begin to lose accuracy due to changes in equipment behavior, operating conditions, or data quality.
Performance & accuracy monitoring
Data drift, concept drift, and anomaly detection
Real-time alerts & diagnostics
Outcome: Issues detected early—before they impact operations.
Models stay aligned to current operating realities through ongoing updates and validation.
Scheduled retraining
On-demand recalibration
Validation against historical & real-time operational data
Outcome: Models remain accurate, trustworthy, and production-ready.
We maintain the full operational pipeline that keeps models healthy and compliant.
Versioning & rollback
Automated deployment pipelines
Evaluation for LLM hallucination, bias & safety
Traceability & audit-ready recordkeeping
Outcome: Operational AI that is secure, governed, and maintainable.
We ensure AI workloads run efficiently and economically across cloud and lakehouse environments.
Compute / storage optimization
Endpoint scaling & performance tuning
Optimization for vector stores, feature stores & pipelines
Outcome: Higher performance at lower cost.
For GenAI assistants and agentic systems, we keep enterprise knowledge fresh and accurate.
Refresh embeddings & semantic indexes
Update documents, manuals, logs & content stores
Optimize retrieval pipelines for speed & relevance
Outcome: AI that always reflects the latest knowledge.
The Frame Difference – AI Built to Perform in the Real World
With Frame’s Ongoing Model Support & Optimization, organizations gain AI systems that remain accurate, reliable, and production-ready long after launch.
By continuously monitoring performance, resolving issues early, and optimizing costs and models against real operating conditions, Frame turns AI from a one-time deployment into a durable capability—an engine that compounds value over time instead of degrading into shelfware.
Designed for Operationally Critical Industries
We specialize in models deployed in plants, refineries, utilities, field operations, supply chains, and regulated environments—where reliability matters.
Cloud-Agnostic & Databricks-Ready
Support across Azure, AWS, GCP, Databricks, and hybrid environments.
Nearshore-Powered, Houston-Led Delivery
Architecture, governance, and oversight stay onshore. Continuous monitoring and engineering support come from nearshore teams for high quality and cost-efficient scale.
Built for Long-Term AI Success
We keep your analytics, ML, and GenAI solutions performing at their best—so they don’t become shelfware or stale prototypes.
Frame supports Energy, Manufacturing, Utilities, and other asset-intensive industries where AI performance, reliability, and safety are mission-critical.
Services We Offer
Ongoing Model Support & Optimization, including monitoring, retraining, cost optimization, and lifecycle management for analytics, ML, and GenAI systems in production.