We build, optimize, and evaluate AI agents on AWS Bedrock. From first prototype to reliable production assistant, your agent works the way your business needs it to.
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Trusted by Companies Worldwide
It generates answers that sound right but aren't grounded in your data. Users lose trust, and you can't ship it to production
The agent forgets what was said earlier in the conversation. Longer interactions become unreliable
You are testing manually, catching issues one by one, with no repeatable way to track if things are getting better or worse
You picked a model that's expensive but still delivers inconsistent results. You're not sure which model fits your use case best
We design and build AI agents that connect to your data, follow your business rules, and respond to users in context. Each agent runs on Amazon Bedrock with a serverless backend on Lambda and API Gateway. For EPIRA.ai, we built four specialized AI agents that turn weeks of manual grant work into minutes — from document extraction to eligibility scoring.
What you get:
We design and build AI agents that connect to your data, follow your business rules, and respond to users in context. Each agent runs on Amazon Bedrock with a serverless backend on Lambda and API Gateway. For EPIRA.ai, we built four specialized AI agents that turn weeks of manual grant work into minutes — from document extraction to eligibility scoring.
What you get:
We test multiple foundation models against your actual use case, measure accuracy, speed, and cost, then recommend the best fit. In our fintech case, we tested three different models on AWS Bedrock and found that the cheapest option failed 80% of knowledge base lookups.
What you get:
We build automated testing pipelines that run hundreds of test cases against your agent after every change. No more manual QA for AI quality. In our fintech project, this pipeline ran 500+ test cases per iteration and reduced QA time by 70%.
What you get:
We build investor-ready AI products from scratch on AWS. For i Got This!, we delivered a complete AI mental health assistant MVP in 3 months — with empathetic avatars, Bedrock-powered conversations, and safety guardrails — achieving over 90% cost savings by moving AI logic from a third-party platform to AWS.
What you get:
You have an idea for an AI-powered product and need a technical team to build it on AWS
Your agent is live but hallucinating, losing context, or giving inconsistent answers
You ship AI updates with no automated way to test quality before they reach users
You are on a model that's too expensive or not accurate enough and need a data-backed comparison
Your investors expect AWS infrastructure, or you need to migrate to qualify for AWS Activate credits. We build your AI agent on AWS from the start so you don't rebuild later.
Foundation models, knowledge bases, guardrails
End‑to‑end platform to build, train, and deploy ML models at scale
Serverless compute for agent logic and orchestration
Secure API endpoints for agent communication
Session storage, user data, conversation history
Knowledge base storage, document repositories
User authentication and profile management
Frontend hosting for web applications
Our Achievements
Our Achievements
30+
International clients
across Media, Software & Technology, Financial Services, Energy, Logistics
10+
Years Experience
in AWS & DevOps
70+
Projects completed
delivered successfully
Media
Software & Technology
Financial Services
Energy
Logistics
Startups and SMBs across Europe and the US trust our AWS experts for scalable, secure, and high-performance cloud solutions.
Common questions about building and optimizing AI agents on AWS with Perfsys.
Talk to an AWS Select Tier Consulting Partner about your AI agent architecture, model selection, and next steps
