Generative AI Services

Whether you're building a new GenAI application from scratch or looking to integrate the latest Generative AI capabilities, Metal Toad delivers expert solutions powered by AWS—at a cost-effective rate.

Our team has hands-on experience with services like Amazon Bedrock, Claude, and Amazon Q, enabling everything from natural language understanding to image generation and intelligent search—backed by a hybrid U.S.-based and nearshore Brazil team for efficient, scalable delivery.

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GenAI Workflow Integration

Modernize existing employee workflows without disrupting existing productivity with AWS GenAI human-in-the-loop or machine-in-the-loop models.

GenAI Proof of Concepts

Leverage AWS Proof of Concept funding—up to $250K—to explore scalability, security, and cloud-native features before full deployment, reducing risk and driving innovation.

GenAI SaaS Integration

Enhance your existing SaaS application or build a brand new SaaS application powered by AWS GenAI services under the hood.

Our customers say it best

  • “They have been a very flexible partner in terms of scope and timeline and are absolutely critical to helping us navigate the AWS funding landscape. They bring a lot of domain knowledge, but are also very open to learning from our findings and expertise; it's definitely a team-oriented culture. We absolutely love working with Metal Toad!”

    matt-bricker
    Matt Bricker CTO at Rightsline

  • “One of the best relationships we have ever had with a vendor.”

    tom-paasch
    Tom Paasch Product Manager at Warn Industries

  • “ They have been a great partner and easy to work with. We can't say enough positive things about Metal Toad - technically competent, professional, and probably most important, they understand customer service”

    joe holland
    Joe Holland Securesheet Technologies

  • “Metal toad's ability to solve problems with a humble approach has earned them a lot of respect with everyone who's had a chance to work with them throughout our organization. I look forward to collaborating on more projects in the future.”

    Nathan Johnson CoverOregon

  • “The cloud computing environment that Metal Toad built provided significant savings on our traditional in-house hosted environment while delivering a more reliable site, and providing a better customer experience.”

    Gerard Lomonaco VP Operations/Technology, Sony

Which GenAI models run in AWS Bedrock?

Keeping track of the models that run on AWS Bedrock can be an overwhelming task—which is why we do it for you! Currently Amazon Bedrock natively supports:

  • Claude by Anthropic
  • Nova by Amazon
  • Llama by Meta
  • DeepSeek
  • as well as 6 other models

Metal Toad maintains a publicly available Google Sheet, which tracks the following information:

  • Model name
  • Token count
  • Inputs (Text, Image, Video, audio)
  • Outputs (Text, Image, Video, audio)
  • Supported language #
  • Can be run in Bedrock (yes/no)
  • Allows fine tuning (yes/no)
  • Whether it is deprecated or not

We also compare it to three major competitors: OpenAI, Microsoft, & Google.

GenAI Model List spreadsheet

Get Started with Generative AI Services

We develop the most valuable, scalable GenAI solutions at an affordable price for our customers with our Hybrid USA/Brazil team.

Unlock Proof of Concept Funding

Speak with our team to understand how Metal Toad can help you drive innovation, growth and success. As an Advanced AWS Consulting Partner with the GenAI Competency, we can help you unlock up to $250,000 in Proof of Concept Funding.

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Why Generative AI Services Are Essential for Modern Businesses

Generative AI services empower businesses to harness advanced machine learning to drive innovation, automation, and deeper customer engagement. Whether you're building a new product, enhancing existing workflows, or exploring intelligent user experiences, expert GenAI developers reduce risk, optimize cost, and align solutions with AWS cloud best practices.

Key benefits of Generative AI services include:

  • Accelerated innovation – Rapid prototyping with tools like Amazon Bedrock and SageMaker speeds up feature development.
  • Cost-effective scalability – Use only what you need with AWS’s pay-as-you-go AI infrastructure.
  • Enhanced customer experience – Deliver personalized, intelligent interactions with natural language and multimodal models.
  • Enterprise-grade security – AWS-native services offer built-in compliance and data protection.
  • Future-proof capabilities – Integrate the latest GenAI advancements without overhauling your architecture.

With the right GenAI services partner, organizations can lead in their industries—transforming how they build, operate, and interact through intelligent, AI-powered systems.

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Metal Toad AWS Competencies & Service Deliveries

Metal Toad is an Advanced AWS Consulting partner with 4 AWS Competencies—including the GenAI and Machine Learning Competenies— 7 AWS Service Validations, 50+ AWS Certifications, and over 50+ AWS Customer launches.

50%

GenAI Cost Savings with Brazilian Nearshore Teams

$25K

AWS Proof Concept Funding available

What to look for in Generative AI Service Firms

Choosing the right Generative AI services partner can make or break the success of your AI initiative. As more organizations explore the potential of GenAI, it’s essential to work with a team that not only understands modern cloud and AI architectures but also provides strategic guidance from ideation to production deployment.

A top-tier GenAI firm should offer deep expertise in model integration, data pipelines, cloud infrastructure, and enterprise-grade security.

Key features to look for include:

  • Generative AI expertise – Proven experience with AWS services like Amazon Bedrock, SageMaker, and Amazon Q for deploying foundation models and building custom AI solutions.
  • Access to AWS funding – Support in securing AWS Proof of Concept (PoC) funding—up to 40% of projected annual AWS spend (capped at $250,000)—to validate your AI use case before full-scale rollout.
  • End-to-end delivery – From prompt engineering and data preparation to model tuning, UX integration, and post-launch support.
  • Nearshore delivery model – Cost-effective development with real-time collaboration from a Brazil-based nearshore team, often at half the U.S. cost.
  • Security and compliance – Adherence to industry standards like SOC 2, HIPAA, and GDPR to safeguard sensitive data.
  • Agile AI development – Iterative experimentation, CI/CD pipelines, and transparent workflows tailored to AI product lifecycles.

With the right GenAI services firm, you can confidently build intelligent, scalable solutions that deliver measurable business impact.

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Gen AI Strategy Session

 

Book Your Free Session

POTENTIAL AWS FUNDED

Gen AI Proof of Concept

POCs provide a rapid way to validate the effectiveness of Artificial Intelligence algorithms in addressing specific business challenges, accelerating the decision-making process. It can be totally or partially funded by AWS.

 

Begin Your AI POC

Why select Metal Toad for Generative AI Services

Top 5 mistakes made when implementing GenAI

Building a successful GenAI strategy involves navigating various challenges. Here are five common mistakes to avoid:

  • 1. Skipping the Business Validation Phase
    Jumping straight into development without validating the GenAI use case can lead to wasted resources.

  • 2. Overengineering the Solution
    Building complex AI features without a clear user need often leads to bloated, underused products.

  • 3. Ignoring Infrastructure and Scalability Needs
    Failing to account for model performance, latency, and cost optimization on AWS can lead to inefficient, unsustainable deployments.

  • 4. Neglecting Data Privacy and Compliance
    Ignoring data governance, model transparency, or compliance requirements like SOC 2, HIPAA, or GDPR can create legal and reputational risks.

  • 5. Lack of a Cross-Functional Strategy
    Treating GenAI as a standalone tech project instead of a cross-functional business initiative limits impact. 

The Metal Toad Generative AI Services Advantage

We leverage our AWS GenAI & AWS SaaS Competency to address common challenges in SaaS application development:

  • 1. Business Validation with AWS PoC Funding
    We help clients secure AWS Proof of Concept funding—up to 40% of projected annual spend —to test GenAI use cases.

  • 2. Lean, Impact-Driven Development
    Our team delivers focused MVPs using agile development and prompt engineering, enabling fast iteration.

  • 3. Cloud-Native, Scalable Architecture
    We design optimized architectures using Amazon Bedrock, SageMaker, and serverless frameworks to balance performance, scalability, and cost.

  • 4. Built-In Security and Compliance
    Security is integrated from day one. We ensure compliance with SOC 2, HIPAA, and GDPR, along with responsible AI practices to protect your data and brand.

  • 5. Cross-Functional Strategic Alignment
    Our engagements bring together engineering, design, product, and legal teams—ensuring your GenAI solution aligns with business goals and delivers measurable value.

GET STARTED WITH METAL TOAD

Our award winning Generative AI service team delivers

Learn more about Generative AI on our blog

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