“Leveraging Kibibit’s expertise, we gained the performance, predictability, and full ownership we needed for our AI infrastructure. Their solution gave us the control and flexibility to scale our LLM-powered features—without compromising on quality or cost.”
Nouveau Labs is on a mission to redefine customer engagement through AI. With products that help businesses analyze conversations, extract insights, and drive decisions, AI isn't just a feature—it's the foundation of everything we do. But as our platform gained traction and user adoption accelerated, we hit critical scaling challenges.
Initially, we relied on external LLM providers like Perplexity and OpenAI to power our core capabilities: intelligent chatbots, sophisticated intent detection, and advanced conversation summarization. While these third-party solutions enabled rapid prototyping and early market validation, they quickly became bottlenecks as we scaled—introducing latency issues, escalating costs that threatened our unit economics, and dangerous platform dependency risks that could jeopardize our entire business model.That's when we partnered with Kibibit to architect, fine-tune, and deploy lightning-fast, self-hosted LLMs specifically optimized for our unique use cases and fully integrated within our secure infrastructure.The search for a faster, more cost-effective AI foundation
“Kibibit helped us replace slow, black-box APIs with high-performance, self-hosted LLMs fine-tuned for our use case and deeply integrated into our stack.”
Using third-party APIs came with trade-offs that ultimately limited growth. External models often introduce latency bottlenecks, leading to unpredictable delays and poor user experiences—especially problematic for real-time features like in-call chat and virtual agents that customers expect to respond instantly. As usage scaled across DolphinCX's growing customer base, pay-per-token pricing quickly became costly and unsustainable.
Product development was also constrained by vendor lock-in tied to third-party uptime, rate limits, and shifting policies. Additionally, generic LLMs lacked the context-awareness and fine-tuned accuracy required for customer engagement scenarios, making them ill-suited for nuanced applications like sentiment analysis during support calls or personalized WhatsApp campaigns.Kibibit worked side-by-side with DolphinCX's engineering and product teams to deliver a complete, self-hosted LLM deployment. From base model selection and infrastructure setup to fine-tuning and deployment pipelines, Kibibit helped build a flexible, future-proof foundation that drastically improved performance and control.The results were immediate and transformational. Response times improved by 10x, delivering the near-instantaneous AI responses that DolphinCX's real-time communication features demanded. Operational costs decreased by 56% as the pay-per-token model was replaced with predictable infrastructure costs. Most importantly, customer satisfaction scores increased by 2.2x as faster, more accurate AI responses enhanced every aspect of the platform experience.Empowering product teams with fast, in-house LLMs
“We went from prototype to production-grade in just a few weeks with full ownership and zero compromise.”
The new setup unlocked seamless AI-powered experiences across DolphinCX's comprehensive product suite. Real-time chat assistants became lightning-fast, conversation summarization worked flawlessly across multi-turn interactions, intent classification powered smarter call routing, and personalized insights helped customer service teams deliver exceptional support. Virtual agents could now handle complex queries with human-like understanding while maintaining the option for seamless escalation to human agents.
Because everything runs in their own environment, DolphinCX maintains full visibility and compliance over how customer data is processed and used—critical for businesses handling sensitive customer communications—without compromising on performance or flexibility.Deploying Scalable, Privacy-First, and Adaptable AI
Today, self-hosted LLMs power a growing portion of the AI experiences across DolphinCX's omnichannel platform. From WhatsApp chatbot responses to enterprise analytics and video call insights, the AI stack now runs at low latency and high confidence with no external reliance.
“It’s fast, private, and tuned to how we work. That’s the kind of AI we can build on for the long term.”