Every GPU was on a live call. New model benchmarks waited months. AWS gave them a separate lane—research and production run in parallel.
A contact center AI company processing over 1 billion conversations per year across 30 languages, operating a fully proprietary stack spanning speech recognition through reasoning models in live, regulated banking, insurance, and telecommunications environments.
With every GPU committed to live production calls, evaluating whether new open-source models outperformed those already in production stretched from...
“We need to evolve, experiment, and deliver value at scale.”
Omilia is a technology company that offers AI-driven conversational solutions for contact centers, focusing on delivering human-like customer experiences.
Cloud computing platform and on-demand infrastructure services.
Omilia's Contact center agents is part of this use case:
Related implementations across industries and use cases
A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Exceptions, claims, disputes sat beyond automation's reach—too complex for bots, too routine for engineers. Custom agents handle them.
A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Campaign variants took 2 days; no shared customer view. AI now orchestrates audience, journeys, and creative while marketers steer outcomes.
On-chain AI agents took weeks of stitching and ran trapped on local machines. BNB Agent Studio ships them globally in 15 minutes.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Every GPU was on a live call. New model benchmarks waited months. AWS gave them a separate lane—research and production run in parallel.
A contact center AI company processing over 1 billion conversations per year across 30 languages, operating a fully proprietary stack spanning speech recognition through reasoning models in live, regulated banking, insurance, and telecommunications environments.
With every GPU committed to live production calls, evaluating whether new open-source models outperformed those already in production stretched from...
“We need to evolve, experiment, and deliver value at scale.”
Omilia is a technology company that offers AI-driven conversational solutions for contact centers, focusing on delivering human-like customer experiences.
Cloud computing platform and on-demand infrastructure services.
Omilia's Contact center agents is part of this use case:
Related implementations across industries and use cases
A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Exceptions, claims, disputes sat beyond automation's reach—too complex for bots, too routine for engineers. Custom agents handle them.
A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Campaign variants took 2 days; no shared customer view. AI now orchestrates audience, journeys, and creative while marketers steer outcomes.
On-chain AI agents took weeks of stitching and ran trapped on local machines. BNB Agent Studio ships them globally in 15 minutes.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.