Frequently Asked Questions

Estimating AWS Bedrock costs starts with three inputs: request volume, average input tokens, and average output tokens. Use the free CountTokens API to get exact token counts before writing production code. It accepts your real prompts and returns model-specific counts at no charge. The bigger risk is what the token formula misses: Knowledge Base infrastructure, CloudWatch logging, and agent token amplification together often add 20 to 35 percent to the inference bill. Our workload-based Bedrock Cost Calculator builds a baseline estimate from the numbers you already know, like users, documents, or images per month, without requiring you to work backward from requests per minute.

Amazon Bedrock AgentCore is the AWS platform businesses use to build and run AI agents in production. It went generally available in October 2025. AgentCore handles the infrastructure around your AI model: where the agent runs, how it connects to your tools, and how you govern what it is allowed to do. It is modular, serverless, and consumption-based, which makes it cost-effective for low and moderate usage. At high volume, or for teams with complex infrastructure requirements, a custom build may be worth evaluating. Whether AgentCore is the right fit depends on your use case, your expected usage volume, and how much infrastructure your team wants to manage.

AWS partner tiers (Select, Advanced, Premier) reflect increasing levels of certified staff, completed engagements, and customer satisfaction data. The most important structural difference is that Premier partners must hold at least three AWS Competencies, each earned through audited production case studies. But tier alone does not guarantee expertise in your specific workload. For targeted initiatives, a focused Advanced partner with relevant competencies may be a stronger choice than a Premier partner without them.

AWS organizes its consulting partners into three tiers — Select, Advanced, and Premier — based on verified certifications, completed customer engagements, and annual AWS oversight. The tier is a meaningful signal, not a marketing badge. This page explains what Advanced Tier actually requires, why it matters when you're hiring, and how AWS funding programs can reduce what you pay for implementation. It also covers the questions worth asking any partner before you sign.

Tech 42 leverages the full AWS AI/ML stack, prioritizing serverless and high-performance computing to balance cost with scale. Our core toolkit revolves around Amazon Bedrock for Generative AI, SageMaker for custom model training, and ECS/EKS for containerized deployment. Beyond core infrastructure, we specialize in purpose-built AI services like Textract and Bedrock Data Automation (BDA) for document intelligence and AgentCore for agentic workflows. While we are an AWS Advanced Tier Partner, we remain technology-agnostic, integrating Open Source tools (like LangGraph) where they offer superior flexibility.

Tech 42 Consulting is an AWS Advanced Tier Partner specializing in the design, build, and scaling of AI/ML applications. We function as a fractional AI engineering team for funded startups and high-growth enterprises, offering end-to-end services from AI strategy and roadmapping to infrastructure migration and production-grade deployment. Our core technical competencies include Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Intelligent Document Processing, DevOps and cloud infrastructure optimization, and agentic workflows on AWS.