Houston-Led. Nearshore-Powered. Built for Quality, Speed, and Cost Discipline.
As Energy & Manufacturing companies modernize data and AI, they’re under pressure to move faster without inflating run costs. Traditional models—either fully onshore or fully offshore—tend to force a trade-off between quality, collaboration, and cost.
Frame takes a different approach, blending senior, client-facing architects and leaders in Houston with tightly integrated nearshore engineering pods, providing enterprise-grade quality with better unit economics than traditional models.
Frame’s nearshore model is not generic staff augmentation. It is a platform-led delivery approach designed specifically for Energy & Manufacturing data and AI programs—where cloud modernization, ERP transformation, and advanced analytics must move together.
Every nearshore pod operates as an extension of Frame’s accelerators, standards, and engineering leadership, ensuring consistency, quality, and repeatability at scale.
Nearshore delivery has matured into the “sweet spot” between onshore and offshore:
30–50%+ cost savings vs. pure onshore while maintaining comparable skill levels and engineering depth.
Time zone alignment (U.S. + LATAM) enables real-time collaboration, standups, design reviews, and incident response without late-night or asynchronous-only work.
Cultural and language compatibility increases communication quality, reduces rework, and supports agile ways of working.
For complex data, analytics, and AI programs—where design decisions, ambiguity, and iteration matter—this balance of cost efficiency plus collaboration gives nearshore a clear edge over traditional offshore-only models.
Our Houston-based leaders anchor:
Strategy, architecture, and solution design
Executive and stakeholder engagement across business, IT, and OT
Quality, governance, and risk management
Platform alignment with Microsoft, Databricks, SAP, and other strategic partners
This ensures every engagement stays closely aligned to your business outcomes, standards, and operating realities in Energy & Manufacturing
Under Houston leadership, we scale nearshore engineering pods that focus on:
Data engineering, modern data architecture build-out, and platform integration
ML/LLM implementation, MLOps/LLMOps, and automation pipelines
Analytics engineering, dashboards, and semantic models
GenAI, RAG, and agentic activation workstreams
The Frame Difference – A Blended Delivery Model Built for Industrial Data & AI
Frame’s nearshore model is not generic staff augmentation. It is a platform-led delivery approach designed specifically for Energy & Manufacturing data and AI programs—where cloud modernization, ERP transformation, and advanced analytics must move together.
Every nearshore pod operates as an extension of Frame’s accelerators, standards, and engineering leadership, ensuring consistency, quality, and repeatability at scale.
Platform-led, not body-shop driven
Nearshore pods are plugged into Frame’s Data & AI accelerators, not hired as generic staff augmentation.
Specialized in Azure, Databricks, and SAP-centric ecosystems
We target the intersection of cloud, ERP modernization, and AI—not generic application development.
Energy & Manufacturing focus
Talent is shaped around OT/IT integration, real-time telemetry, S/4HANA, supply chain, and asset performance—not broad, unfocused verticals.
Houston proximity and partner alignment
Being Texas-based and deeply aligned with Microsoft, Databricks, and SAP gives clients both local presence and strong partner leverage.
Get Enterprise-Grade Delivery at Nearshore Economics
Frame’s nearshore delivery model is purpose-built for Energy and Manufacturing organizations executing complex data, analytics, and AI programs across operational, enterprise, and cloud environments.
Services We Offer
Nearshore delivery accelerates the build and scale of Frame’s Data Engineering, Analytics, AI Platform, and GenAI solutions without sacrificing governance or architectural integrity.
