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Empowering Scalable Voice AI with Optimized Infrastructure

A leading voice AI platform providing speech-to-text, text-to-speech, and language understanding APIs needed a strategic infrastructure partner to overcome vendor lock-in, optimize costs, and scale for enterprise demand. Dissatisfied with their previous reseller’s biased recommendations, they sought an advisor to compare platforms' right-size AI clusters and ensure future-ready scalability. By migrating to high-performance Tier 1 infrastructure and optimizing hardware spend, they achieved faster model training, lower costs, and seamless growth—securing their competitive edge in the fast-evolving AI market.
Turning Challenges Into Opportunities

Transforming their AI Infrastructure

The voice AI provider enables developers to build advanced speech recognition and natural language applications. Optimized infrastructure ensures high-accuracy, low-latency AI at scale, critical for medical, SaaS, and autonomous agent use cases.

AI demands high-performance, cost-efficient computing. Competitors leveraging optimized hardware gain speed and cost advantages. Without scalable infrastructure, AI platforms risk higher expenses, slower innovation, and missed opportunities in a booming market.

1
The Problem
The company’s previous Value-Added Reseller (VAR) pushed a single platform, leading to vendor lock-in, suboptimal performance, and rising costs. They needed unbiased advice on AI-optimized hardware, cost-performance trade-offs, and scalable infrastructure to support growing enterprise demand.
2
The Solution
Stepping in as a vendor-agnostic advisor, we evaluated Dell vs. Whitebox solutions, right-sized dedicated training/inference clusters, and migrated to Tier 1 infrastructure for better support and scalability—future-proofing their AI deployment.
3
The Outcome
We assisted the company in reducing costs, improving performance, and gaining scalability. With optimized infrastructure, it now efficiently supports enterprise-grade AI workloads, ensuring faster innovation and a stronger competitive position against alternatives like OpenAI.
SOLUTION DEEP DIVE

Delivering Scalable AI Infrastructure

We provided vendor-neutral infrastructure advisory, performance benchmarking, and scalable cluster design to future-proof their AI workloads.
what the company needed
Unbiased Hardware Comparisons
  • Evaluated Dell vs. Whitebox solutions for cost-performance balance.
  • Advised on optimal GPU configurations for training and inference.
what the company needed
Dedicated AI Cluster Optimization
  • Designed separate training & inference clusters for efficiency.
  • Migrated to Dell’s Tier 1 infrastructure for reliability.
what the company needed
Scalability Roadmap
  • Aligned infrastructure with enterprise customer growth.
  • Prepared for multi-cloud and edge deployments.
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THE OUTCOMES

AI Performance, Optimized for Growth

Redapt’s solution delivered cost savings, scalability, and competitive advantage for the voice AI platform.

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Lower Operational Costs
Optimized hardware reduced spend without sacrificing speed.

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Faster Model Training
High-performance clusters accelerated AI iteration cycles.

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Enterprise-Grade Scalability
Infrastructure now supports rapid customer onboarding.

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Future-Proof Flexibility
Ready for multi-cloud and edge AI deployments.

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CONCLUSION

Building the Future of Voice AI

Modernizing infrastructure with unbiased expertise enables this AI innovator to deliver faster, cheaper, and more scalable voice solutions. With a high-performance foundation, they’re poised to outpace competitors and capture enterprise demand.

What could your business achieve with optimized infrastructure? Connect with us today to discuss how Redapt can help.

Your trust and confidentiality are our top priorities. Redapt prioritizes and protects our customer’s privacy, so we don’t publicly disclose account names or other identifiable information. We are eager to share our successes and are happy to provide specific referrals or case studies upon request.

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