Keep your AI solutions up-to-date and operating efficiently
At Mission Cloud, we know that getting an AI solution launched is not a one-and-done effort but an ongoing journey—solutions must be able to evolve with the growth of datasets, business requirements, or user behavior or adoption.
Effective AI management is about ensuring you can maintain and improve your solutions and react to changes while staying efficient and cost-effective. We help you to do this while staying in accord with best practices, optimized for peak performance, and fully leveraging AWS’s many AI and ML native services.
“Mission Cloud has demonstrated their ability to help customers harness the full potential of generative AI to drive innovation and business success. We're delighted to continue working with Mission Cloud to accelerate the adoption of transformative AI solutions for our mutual customers.”
Chris Sullivan, VP, Channels & Alliances, Americas at Amazon Web Services
Optimize your AI system’s efficiency by analyzing token usage patterns. We identify opportunities to reduce costs, enhance throughput, improve processing speed, and boost overall scalability. With our insights, you can ensure that your AI operations are both economical and high-performing.
Kickstart your AI optimization by evaluating your prompts and their efficacy for your use case. We analyze prompts to uncover ways to improve accuracy, optimize with templating, reduce hallucinations, and enhance overall model performance to get the best results from your solution.
Refine and perfect your interactions and empower your users with expert prompt engineering. We test and revise prompts, focusing on crucial criteria like length, accuracy, and clarity. Our goal is to ensure your prompts drive the answers you need predictably and reliably.
If you need to rapidly modify and re-train your foundation models, a dedicated operations pipeline is critical. Learn more about how we conduct LLMOps, build and maintain these pipelines, and how they can impact the speed of your iteration, experimentation, and development lifecycle.
Evaluate the AI software ecosystem to ensure you have the right approach and dependencies. We assess and help you select appropriate foundation models, design an effective Retrieval-Augmented Generation (RAG) pipeline, and choose vector stores, agent frameworks, and supporting libraries that are the best fit for your cost and performance goals.
We take you from Proof-of-Concept to production and then keep your solution performing for the long-term.
With AI Management you can:
"Mission Cloud's expertise in generative AI unveiled exciting possibilities for our data extraction process. Their innovative approach using Amazon Bedrock demonstrated remarkable potential for improved accuracy and efficiency. The agile methodology and custom Streamlit application highlighted their technical acumen and dedication to our objectives. Thanks to Mission Cloud, we've gained valuable insights that will shape the future of our healthcare technology solutions."
Interested in how Mission Cloud can help you manage your AI solutions on AWS? Talk to us today about our AI management services and learn about the hundreds of AWS customers already trusting us with their environments.
