Results for "Amazon Elasticsearch Service”
Amazon Elasticsearch Service
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DATAFOREST is an AI-native product and data engineering company delivering outcome-driven solutions with senior AI-capable teams. We build data platforms, AI workflows, and agentic systems that automate operations, unify data, and accelerate delivery using LLMs, RAG, and modern engineering practices.
Amazon Elasticsearch Service
Integrations
ERP
Databases
Data Analytics and Visualization
Conversational AI
Python
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Real-Time AI Voice Agent for Cold CallingDeveloping a real-time voice-to-voice AI agent for cold calling, delivering human-like conversations, handling noisy environments, and integrating with the client’s CRM and ATS.
Codetribe is your intelligence orchestration partner – combining human-led strategy with AI-powered execution to deliver outcomes that matter. Trusted by global leaders like Warner Bros, BMW, and Siemens, we’ve driven 130+ product launches across 10+ years, backed by an exceptional 84 client NPS (industry avg: 30).
Amazon Elasticsearch Service
Web Apps
Mobile Apps
CMS
Integrations
AI & ML Solutions
JavaScript
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CASE STUDIES
Empowering AMS-IX: Seamless Upgrades for a Smoother InternetDuring the project takeover, we identified several critical issues that were impeding innovation and flexibility. Our team created a detailed plan and timeline for updating the system to align with current industry trends and expedite the development of new market-relevant services.
We build AI-powered systems that help companies uncover high-value opportunities, accelerate workflows, and unlock new business potential. Leveraging the latest in multi-agent systems, generative AI, and computer vision, and backed by deep engineering expertise, we design and deploy enterprise-grade solutions that drive measurable ROI.
Amazon Elasticsearch Service
AI & ML Solutions
Data Analytics and Visualization
Conversational AI
HR Platforms
E-Commerce
Python
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RELEVANT TALENT
CASE STUDIES
Legal Copilot: Streamlining Legal Document Workflows with AIThe legal department struggled to process multiple provider contracts efficiently, taking weeks to make subtle changes or ensure policy compliance. This manual approach created significant delays in business operations and vendor onboarding processes.
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