Generative AI Proof of Concept
Metal Toad Brings Generative AI Out of the Lab Into Your Business
Why an AI Proof of Concept Is the Smartest First Step
Integrating generative AI into your business isn’t as simple as flipping a switch. While AWS offers a full-stack solution—from chips to APIs—to support AI innovation, many businesses struggle to move from ambition to execution.
Two common barriers:
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Data quality: Poor or incomplete datasets hinder model accuracy.
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Talent shortages: Small and midsize businesses often lack in-house data science and engineering expertise.
To help overcome these hurdles, AWS offers Proof of Concept (PoC) funding for generative AI projects, covering up to 40% of your projected annual AWS spend, with a maximum of $250,000 in funding. This incentive is designed to help businesses de-risk adoption, validate workloads, and unlock real ROI—without committing to full-scale implementation upfront.
Benefits of AWS GenAI PoC funding:
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Cost-effective innovation: Offset early-stage development costs while exploring transformative GenAI use cases.
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Validation before scaling: Ensure your model delivers better outputs, integrates with downstream systems, and justifies operational costs.
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Strategic partnership: Working with an AWS-validated partner like Metal Toad ensures technical success and business alignment.
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Faster time-to-value: A well-scoped PoC lets you test, learn, and pivot faster than a full-scale rollout.
With AWS and expert partners like Metal Toad, your GenAI journey gets a head start—grounded in strategy, supported by funding, and focused on business outcomes.
How an AI Proof of Concept Can Validate Your Business Use Case
How an AI Proof of Concept Can Validate Your Business Use Case
When it comes to implementing Generative AI, starting small can save time, money, and uncertainty. As a certified AWS partner for Generative AI and Machine Learning, Metal Toad helps organizations accelerate innovation by building scalable, testable solutions using AWS best practices and the Well-Architected Framework.
A Metal Toad Generative AI Proof of Concept (PoC) is a focused, low-risk way to explore the feasibility and business impact of your AI initiative. Rather than launching a full-scale deployment, a PoC offers a functional prototype or scaled-down version of a specific feature, model, or integration—designed to prove technical viability and alignment with your goals.
What you get with a Metal Toad AI PoC:
- A working demonstration of your proposed GenAI solution
- Validation of data readiness and model performance
- Early feedback on user experience and potential value
- Insights into operational costs and deployment complexity
The AI PoC allows stakeholders to assess whether the solution is ready to scale or needs refinement—reducing risk and ensuring that resources are spent wisely.
Best of all, AWS offers funding for up to 40% of your projected annual spend, up to $250,000, for qualifying generative AI workloads. That makes now the perfect time to test your use case with expert guidance and cloud-backed support.
By partnering with Metal Toad, you will receive an information Artificial Intelligence proof of concept, which will offer valuable insights and several benefits:
Cost-Efficiency
By focusing on a small-scale trial, businesses can control costs while still gaining insights into the potential benefits of Artificial Intelligence applications.
Quick Validation
POCs provide a rapid way to validate the effectiveness of Artificial Intelligence algorithms in addressing specific business challenges, accelerating the decision-making process.
Customization
Businesses can tailor Artificial Intelligence models during the POC phase to meet specific requirements and ensure alignment with organizational goals.
METAL TOAD ENGAGEMENT
Our process aligns business goals with technical validation through a proven process:
- Metal Toad will provide a high level overview of the AWS Well-Architected Gen AI Lifecycle and why this is a key consideration in your AI journey.
- Next we will collaborate with your stakeholders to gain a comprehensive understanding of your business pain points and assess your current position in the AI journey. We will focus on the pain points that AI and ML can solve for your business. We will prioritize 1 or 2 of these business needs to further evaluate.
- Metal Toad will then dive into a series of questions that will help clearly define the objectives, constraints, and requirements of the aligned business need.
- Finally, we will dive into your data as data is the foundation and key to any successful Machine Learning and Generative AI project.
Unlock Your Potential with an AI Proof of Concept
Discover how Generative AI can elevate your business. Join us for a strategy session that can transform your business with AI.
BUSINESS PROBLEM
AlertCalifornia, a state-wide alert system, faced a critical challenge in effectively detecting and monitoring wildfire smoke plumes through camera images. The existing AI system's initial attempt to identify smoke plumes from single images proved insufficient, as it struggled to meet the desired performance standards. The limitation was particularly evident in scenarios where understanding the movement and position of smoke plumes over time was crucial for accurate detection.
TECHNOLOGY SOLUTION
To address this challenge, AlertCalifornia opted for a sophisticated solution that leveraged advanced machine learning techniques. SageMaker, a fully managed service for building, training, and deploying machine learning models, played a crucial role in the training phase. The SageMaker service facilitated the seamless integration of the developed LSTM model into the production environment, offering a scalable and efficient platform for training and deploying machine learning models.
IMPACT
The implementation of the LSTM model has shown promising results during testing and validation phases. The model's ability to analyze sequences of smoke bounding box data has significantly improved the accuracy of wildfire smoke detection. AlertCalifornia is now eager to deploy this enhanced model into the production environment for further testing and validation under real-world conditions.
BUSINESS PROBLEM
The sales team at ABC was feeling a lot like substitute teachers, bogged down with cumbersome old tech and processes at crucial moments.
TECHNOLOGY SOLUTION
A clear solution emerged: a single app that the sales team could use with any mobile device or computer
IMPACT
The new system revamped the entire sales process, making it faster, easier, and more efficient.
BUSINESS PROBLEM
Whenever a big sweepstake was launched, avid fans would descend on the website and often overtax its servers.
TECHNOLOGY SOLUTION
Moving the site’s servers to the cloud provided the elasticity Wheel of Fortune needed.
IMPACT
When the team launches new sweepstakes, preventative scaling is used to double, triple, or even quadruple their capacity to match expected traffic.
BUSINESS PROBLEM
DC Entertainment site is routinely crawled by third parties looking for security vulnerabilities or new leaks ahead of announcements.
TECHNOLOGY SOLUTION
ML Log evaluation. We started by setting up a data pipeline that replicated the manual process Metal Toad had been doing for years
IMPACT
Quickly identified new threats. The ML Log Monitoring solution quickly found two groups of IPs for evaluation.
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BUSINESS PROBLEM
Fox needed a transformation to streamline operations, maximize efficiency, and optimize coordination.
TECHNOLOGY SOLUTION
The new platform will replace legacy systems with a solution that unifies viewer experience and aligns operations across the enterprise.
IMPACT
Fox now has in hand the detailed plan they need to make Fox Mississippi a reality.
BUSINESS PROBLEM
When approaching Metal Toad for a potential partnership, they made it clear that their current website was falling short.
TECHNOLOGY SOLUTION
Metal Toad improved usability, access to interactive modules, and site-wide responsiveness while optimizing Orchestra content for online search.
IMPACT
Visitor experience enjoyed vastly improved overall site usability, including ordering tickets, access to events calendar, quick-and-easy donations, and social sharing.
BUSINESS PROBLEM
Search results were stale, poorly ranked, and simply not delivering the content that users demanded.
TECHNOLOGY SOLUTION
Metal Toad proposed a custom search solution that was scalable, reliable, and free from licensing costs or vendor lock-in.
IMPACT
A 40% increase in relevant hit rates, drastically reduced search page load times, and overall improved visitor satisfaction were reported within the first week of launch.
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
SITUATION
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
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AI Proof of Concept Case Studies
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