How Struck.build improved AI Performance with LangWatch
Manouk
Apr 17, 2024
When it comes to AI, businesses must stay ahead of the curve to maximize performance and efficiency. Struck.build, a leading provider of construction solutions, understands this imperative. That's why they continuously optimize their AI capabilities to better serve clients and projects. LangWatch monitoring platform that recently was integrated by Struck.build, promised to revolutionize how Struck monitors their AI performance.
Monitoring LLM-powered Applications with LangWatch
The integration between LangWatch and Struck.build is a significant step forward for their AI performance monitoring. Struck.build gains deeper, actionable insights into their AI models. This includes real-time identification of potential AI risks, issues, allowing for data-driven decisions that optimize performance.
Struck.build CTO's Quotes
"At Struck.build, we're committed to using the power of AI for innovative client solutions," states Nikhil Nagaraj, CTO of Struck.build. "The integration with Langwatch gives us greater visibility into our AI performance. LangWatch is helping us understand what users are asking and if the actual answer provided is correct. I'm amazed by the evaluation of our RAG application.
Benefits of the Integration
One key benefit of the integration is multi-dimensional AI performance visibility. LangWatch provides Struck.build with comprehensive insights – including accuracy, latency, throughput, and resource utilization. This holistic view pinpoints improvement areas for optimal performance.
Moreover, with LangWatch's real-time monitoring, Struck.build can quickly detect anomalies and emerging issues. This proactive approach allows them to stay ahead of potential problems, minimizing downtime and ensuring a seamless client experience.
Another advantage of the integration is scalability. As Struck.build continues to expand its AI initiatives, LangWatch provides the scalability required for effective monitoring. No matter how complex the AI application – predictive maintenance, resource optimization, or risk management – Struck.build can rely on LangWatch for the insights they need to ensure success.
Furthermore, the integration with LangWatch enhances transparency and accountability. LangWatch's comprehensive reporting means Struck.build can show clients exactly how their AI models are performing, building trust and confidence.
Conclusion
The Struck.build and Langwatch partnership is a major improvement for Struck’s AI performance optimization. Struck.build now has deeper insights, real-time issue detection, and the foundation for continued AI excellence. As CTO says, "This integration empowers us to deliver innovative solutions with confidence, knowing we have the data to drive our success."
With LangWatch, Struck.build is positioned to keep pushing the boundaries of AI innovation in the construction industry and beyond.
Ready to start evaluating your LLM-app?
Request a demo
When it comes to AI, businesses must stay ahead of the curve to maximize performance and efficiency. Struck.build, a leading provider of construction solutions, understands this imperative. That's why they continuously optimize their AI capabilities to better serve clients and projects. LangWatch monitoring platform that recently was integrated by Struck.build, promised to revolutionize how Struck monitors their AI performance.
Monitoring LLM-powered Applications with LangWatch
The integration between LangWatch and Struck.build is a significant step forward for their AI performance monitoring. Struck.build gains deeper, actionable insights into their AI models. This includes real-time identification of potential AI risks, issues, allowing for data-driven decisions that optimize performance.
Struck.build CTO's Quotes
"At Struck.build, we're committed to using the power of AI for innovative client solutions," states Nikhil Nagaraj, CTO of Struck.build. "The integration with Langwatch gives us greater visibility into our AI performance. LangWatch is helping us understand what users are asking and if the actual answer provided is correct. I'm amazed by the evaluation of our RAG application.
Benefits of the Integration
One key benefit of the integration is multi-dimensional AI performance visibility. LangWatch provides Struck.build with comprehensive insights – including accuracy, latency, throughput, and resource utilization. This holistic view pinpoints improvement areas for optimal performance.
Moreover, with LangWatch's real-time monitoring, Struck.build can quickly detect anomalies and emerging issues. This proactive approach allows them to stay ahead of potential problems, minimizing downtime and ensuring a seamless client experience.
Another advantage of the integration is scalability. As Struck.build continues to expand its AI initiatives, LangWatch provides the scalability required for effective monitoring. No matter how complex the AI application – predictive maintenance, resource optimization, or risk management – Struck.build can rely on LangWatch for the insights they need to ensure success.
Furthermore, the integration with LangWatch enhances transparency and accountability. LangWatch's comprehensive reporting means Struck.build can show clients exactly how their AI models are performing, building trust and confidence.
Conclusion
The Struck.build and Langwatch partnership is a major improvement for Struck’s AI performance optimization. Struck.build now has deeper insights, real-time issue detection, and the foundation for continued AI excellence. As CTO says, "This integration empowers us to deliver innovative solutions with confidence, knowing we have the data to drive our success."
With LangWatch, Struck.build is positioned to keep pushing the boundaries of AI innovation in the construction industry and beyond.
Ready to start evaluating your LLM-app?
Request a demo
When it comes to AI, businesses must stay ahead of the curve to maximize performance and efficiency. Struck.build, a leading provider of construction solutions, understands this imperative. That's why they continuously optimize their AI capabilities to better serve clients and projects. LangWatch monitoring platform that recently was integrated by Struck.build, promised to revolutionize how Struck monitors their AI performance.
Monitoring LLM-powered Applications with LangWatch
The integration between LangWatch and Struck.build is a significant step forward for their AI performance monitoring. Struck.build gains deeper, actionable insights into their AI models. This includes real-time identification of potential AI risks, issues, allowing for data-driven decisions that optimize performance.
Struck.build CTO's Quotes
"At Struck.build, we're committed to using the power of AI for innovative client solutions," states Nikhil Nagaraj, CTO of Struck.build. "The integration with Langwatch gives us greater visibility into our AI performance. LangWatch is helping us understand what users are asking and if the actual answer provided is correct. I'm amazed by the evaluation of our RAG application.
Benefits of the Integration
One key benefit of the integration is multi-dimensional AI performance visibility. LangWatch provides Struck.build with comprehensive insights – including accuracy, latency, throughput, and resource utilization. This holistic view pinpoints improvement areas for optimal performance.
Moreover, with LangWatch's real-time monitoring, Struck.build can quickly detect anomalies and emerging issues. This proactive approach allows them to stay ahead of potential problems, minimizing downtime and ensuring a seamless client experience.
Another advantage of the integration is scalability. As Struck.build continues to expand its AI initiatives, LangWatch provides the scalability required for effective monitoring. No matter how complex the AI application – predictive maintenance, resource optimization, or risk management – Struck.build can rely on LangWatch for the insights they need to ensure success.
Furthermore, the integration with LangWatch enhances transparency and accountability. LangWatch's comprehensive reporting means Struck.build can show clients exactly how their AI models are performing, building trust and confidence.
Conclusion
The Struck.build and Langwatch partnership is a major improvement for Struck’s AI performance optimization. Struck.build now has deeper insights, real-time issue detection, and the foundation for continued AI excellence. As CTO says, "This integration empowers us to deliver innovative solutions with confidence, knowing we have the data to drive our success."
With LangWatch, Struck.build is positioned to keep pushing the boundaries of AI innovation in the construction industry and beyond.
Ready to start evaluating your LLM-app?