In the first stage of AI PoC development, our R&D experts determine how you intend to use AI and identify desired business outcomes, such as personalizing the customer experience or reducing equipment downtime. We then define success metrics for each usage scenario.
During AI proof of concept development, ITRex develops hypotheses, defines success criteria like model accuracy and efficiency, and tests the hypothesis by determining experiment variables and conditions. Our experiment options range from the cheapest and fastest to the most detailed and accurate, fitting different budgets and timelines.
For customers with sufficient budgets, we recommend conducting parallel experiments to test various approaches. Time-boxed experiments, a more cost-effective option, allow you to collect enough data to make an informed decision about the future of your AI PoC project.
Following AI PoC development, we perform a thorough analysis of the collected data to compare the AI models’ performance against predefined success metrics and benchmarks. We then present the findings to stakeholders, along with a roadmap for full-scale AI solution implementation.
Our AI PoC development services result in tangible deliverables such as the PoC, pipelines, data, and detailed documentation of the experiments, benchmarks, and actual results. As a bonus, we can design a blueprint for your future AI solution and assist you in pitching your idea to stakeholders.
Beyond AI PoC development, our AI developers help clients build and scale AI models. We perform rigorous testing, utilize automation where possible, implement architecture design records, and adhere to MLOps best practices while staying abreast of emerging AI technologies that meet the criteria outlined in Step 2.
Our comprehensive artificial intelligence PoC development services benefit businesses of all sizes and types, from emerging AI startups seeking seed funding to mid-sized companies and enterprises undergoing ad hoc AI transformation. By partnering with ITRex, you get: