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Hey there,
Over the past few months, we have worked with several enterprise teams to deploy AI in areas like infrastructure monitoring, support automation, and operational decision-making. Here are a few examples of how those implementations are helping teams run systems more efficiently.
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Datasheet:
AI Models Built for Your Business
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Generic AI models often miss the context enterprises need. This datasheet explains how organizations can build custom LLMs that reflect their data, language, and workflows—while connecting to trusted knowledge sources through RAG for more reliable and practical AI applications.
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Download our latest whitepaper
AI and Technology Trends Shaping the Next Enterprise Era
AI is quickly becoming part of how enterprises run systems, automate decisions, and manage infrastructure. This whitepaper highlights the technology shifts organizations are adopting today—from AI-driven automation to smarter data and edge platforms—as they plan for the years ahead.
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Latest Case Studies to Read
From hardware counters to ML-ready telemetry
A leading white-box switch vendor partnered with Calsoft to enable real-time ASIC visibility. Our streaming telemetry solution delivers ML-ready data and instant, polling-free insights into switch health and performance.
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Using AI to speed up network support triage
A global network hardware OEM used Calsoft’s AI support engine to auto-classify tickets and resolve routine queries—handling 60% of L0–L2 cases, reducing response times to minutes, and freeing engineers for higher-value work.
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Use Case:
Predicting infrastructure issues before they happen
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For a Fortune 500 server enterprise, Calsoft built a predictive monitoring platform that analyzes large-scale infrastructure telemetry in real time. Processing billions of metrics daily, the system helps teams detect patterns early, improve operational visibility, and make faster infrastructure decisions.
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Tech Talk Highlight
When should AI run the show—and when do you still need human judgment?
In this Calsoft Tech Talk, we look at how multi-agent AI is being applied in real situations—where full automation works well and where human oversight is still essential to keep outcomes accurate, compliant, and reliable.
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Using AI agents
to simplify supply-chain support
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Calsoft deployed a multi-agent AI assistant for a medical supply chain leader, unifying live order data, shipment tracking, and SOPs into a single conversational interface so sales and support teams can resolve eCommerce queries faster, reduce manual system lookups, and stay compliant without changing existing workflows.
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More stories and ideas coming your way soon.
We hope these stories offered useful perspective on how AI is being applied in real environments. If you'd like to discuss how similar solutions could fit your organization, our team would be glad to connect.
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