Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
An India-based startup specializing in generative AI agents supports over 120 languages and dialects for enterprise clients in regulated sectors like banking and telecom.
Fine-tuning language models traditionally took weeks, slowing go-to-market speed for price-sensitive regions. The company needed to avoid the high...
“We envisage brands continuing to develop generative AI use cases as the technology becomes more integrated with their IT layers. Companies see a clear ROI from conversational generative AI augmenting customer interactions at every touchpoint.”
GenAI voicebot platform for BFSI and telecommunications sectors.
Cloud computing platform and on-demand infrastructure services.
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Standard models struggled with regional dialects. A custom audio layer over frozen Llama weights now powers voice AI for India.
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English-centric models ignored local context. Refining 14M records to 100k curated samples trained a culturally accurate French AI.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.