Breakthrough Performance for Enterprise Voice AI
Groq + Maitai: A joint case study from industry leaders in AI compute & voice technology
Industry-First: Phonely Achieves Unprecedented AI Response Latency with Maitai and Groq
How multi-LoRA hot‑swapping on accelerated compute is redefining what’s possible in conversational AI
June 2025
Executive Summary
[San Francisco, CA] – In a groundbreaking advancement for enterprise AI, Phonely has partnered with Maitai and Groq to deliver voice support that performs at near‑human speeds. By leveraging Groq’s revolutionary capability to hot‑swap LoRA adapters during inference, Maitai provides model orchestration that enables Phonely to achieve record‑breaking response performance—setting a new standard for conversational AI in enterprise settings.
The Enterprise Challenge: Beyond Generic AI
As a leader in AI phone support, Phonely’s competitive edge depends on conversations that feel natural and responsive. While closed‑source general‑purpose models like GPT‑4o delivered impressive outputs, Phonely faced critical limitations across several dimensions:
- Conversation‑Breaking Latency: Even moderate delays in Time to First Token (TTFT) and completion times created unnatural pauses that disrupted the conversational flow, particularly noticeable in real‑time voice interactions.
- Innovation Bottlenecks: Dependency on external model providers’ release schedules meant Phonely couldn’t rapidly incorporate proprietary data or implement strategic improvements on their timeline.
- Accuracy Plateau: Despite high baseline accuracy from generic models, Phonely needed domain‑specific optimizations to reach the near‑perfect accuracy demanded by enterprise clients in regulated industries.
The limitations of “one‑size‑fits‑all” AI had become apparent. Enterprise‑grade voice AI required a solution combining speed, precision, and the ability to continuously improve—without compromising on quality or scalability.
The Breakthrough: LoRAs on Groq, Orchestrated by Maitai
Through strategic partnership, Phonely has moved beyond generic AI to a custom solution powered by three complementary technologies:
Groq’s Technical Innovation
Working closely with Maitai, Groq developed industry‑first multi‑LoRA support on their LPU infrastructure. This breakthrough enables a single inference endpoint to support dozens of specialized LoRA adapters with zero‑latency hot‑swapping capabilities. The result is an architectural advancement that makes enterprise‑tailored models both practical and economically viable at scale.
Maitai’s Competitive Edge
Custom‑built models hosted on ultra‑fast compute unlock transformative performance improvements across key metrics:
- TTFT (P90) slashed by 73.4%, delivering near‑instantaneous responses
- Completion Time (P90) reduced by 74.6%, eliminating unnatural pauses
- Accuracy elevated from 81.5% to 99.2% through strategic model refinement, exceeding GPT‑4o by 4.5 percentage points
- Effortless scaling from 10 to 30,000 requests/minute with consistent sub‑200 ms TTFT performance
Market Impact: Redefining Enterprise Expectations
Phonely’s AI agents now deliver a transformative customer experience with human‑like responsiveness and near‑perfect accuracy. The ability to leverage proprietary data allows for continuous refinement, while the flexibility to deploy customer‑specific models enables unprecedented customization for enterprise clients with unique requirements.
Performance metrics demonstrate the quantifiable advantages of this approach:
| Development Stage | Model | TTFT – P90 | Completion Time – P90 | Accuracy |
|---|---|---|---|---|
| Legacy | GPT‑4o | 661 ms | 1446 ms | 94.7% |
| Switch to Maitai | Maitai m0 | 186 ms | 316 ms | 81.5% |
| 1st Iteration | Maitai m1 | 189 ms | 378 ms | 91.8% |
| 2nd Iteration | Maitai m2 | 176 ms | 342 ms | 95.2% |
| 3rd Iteration | Maitai m3 | 179 ms | 339 ms | 99.2% |
“Through Maitai, our enterprise customers gain immediate access to custom fine‑tuned models running on the industry’s fastest infrastructure—in minutes, not months. This has enabled businesses using Phonely to scale to tens of thousands of calls daily with response times and accuracy levels that were previously impossible with generic AI solutions.”
— Will Bodewes, CEO, Phonely
Strategic Implications: The New Enterprise AI Playbook
This collaboration demonstrates a practical, scalable approach to enterprise AI deployment. Groq’s zero‑latency LoRA hot‑swapping capability, combined with Maitai’s orchestration layer and continuous improvement methodology, gives businesses a transformative path to performance optimization without the complexity of managing infrastructure or machine learning workflows.
“This partnership showcases the future of enterprise AI implementation. By combining Maitai’s intelligent orchestration with Groq’s zero‑latency LoRA hot‑swapping, we’ve created an unparalleled approach to running specialized, continuously improving models at scale. Our enterprise clients achieve faster, more accurate, and increasingly refined results—without the traditional overhead and complexity.”
— Christian Dal Santo, CEO, Maitai
About Phonely
Phonely delivers AI‑powered phone support agents for enterprises demanding fast, reliable, and exceptionally natural AI interactions. Its solutions eliminate wait times, enhance customer satisfaction, and enable seamless automated conversations across multiple industry verticals.
Contact: sales@phonely.ai
Visit: https://phonely.ai
About Maitai
Maitai provides enterprise‑grade LLM infrastructure with unmatched speed, reliability and continuous optimization. Acting as an intelligent orchestration layer, Maitai enables organizations to build and deploy advanced AI capabilities without the traditional infrastructure complexity or ML expertise requirements.
Contact: sales@trymaitai.ai
Visit: https://trymaitai.ai
About Groq
Groq stands at the forefront of AI compute innovation, now enabling enterprise‑scale deployment of custom‑tailored models with unprecedented inference speeds. This technological breakthrough represents a paradigm shift in the capabilities available to enterprise AI applications.
Visit: https://groq.com