---
title: "Technology Partners: AWS, OpenAI, LangChain, LiveKit, Langfuse | Vindler"
description: "The platforms Vindler builds production AI on, what we have shipped with each, and how working with us affects your vendor choices."
url: "https://vindler.solutions/partners"
locale: "en"
updatedAt: "2026-11-06"
---

# The Platforms We Build On

What we have shipped on AWS, OpenAI, LangChain, LiveKit and Langfuse, and how working with us affects your vendor choices.

Tell Us About Your Project

[Amazon Web Services](https://aws.amazon.com/partners/)

## Amazon Web Services

AWS Partner Network memberBedrock and AgentCore in production

Most of what we ship runs on AWS: Bedrock for models, AgentCore for hosting agents, Lambda and ECS for services, and pgvector on RDS for retrieval. We set it up in your AWS account, so the bill and the access stay with you.

Shipped with it

-   [Multi-agent platform on Bedrock AgentCore](https://vindler.solutions/case-studies/multi-agent-systems-architecture)
-   [RAG sales assistant on Bedrock](https://vindler.solutions/case-studies/ai-sales-assistant-rag)

Hire for it

[AWS Bedrock and AgentCore developers](https://vindler.solutions/hire/aws-bedrock-developers)

## OpenAI

OpenAI Partner Network memberGPT models in production

We use OpenAI models where they win the evaluation for the task. GPT-4.1 handles reasoning in a production voice assistant, and GPT-4 writes the lesson scripts in a content pipeline that has produced more than 200 course modules. The API keys and the bill sit in your own OpenAI account, and model calls go through your own code, so the provider can change later.

Shipped with it

-   [Voice assistant for Medicare patients, on GPT-4.1](https://vindler.solutions/case-studies/medicare-voice-assistant)
-   [E-learning content generation on GPT-4](https://vindler.solutions/case-studies/elearning-content-generation)
-   [OpenAI's Decisions API for agent routing](https://vindler.solutions/blog/openai-decisions-api-agent-routing)

Hire for it

[AI engineers](https://vindler.solutions/hire/ai-engineers)

[LangChain and LangGraph](https://www.langchain.com/)

## LangChain and LangGraph

Open-source contributorLangGraph multi-agent systems in production

LangGraph is our default for stateful agents that pause for human approval, call real backend services and need to be observable. Our founder has contributed to the LangChain open-source project.

Shipped with it

-   [Supervisor-worker assistant with six agents](https://vindler.solutions/case-studies/multi-agent-systems-architecture)
-   [AI demo assistant with CRM integration](https://vindler.solutions/case-studies/ai-demo-assistant-crm)

Hire for it

[LangGraph developers](https://vindler.solutions/hire/langgraph-developers)

[LiveKit](https://livekit.io/)

## LiveKit

Voice agents in productionActive in the LiveKit community forum

We build voice agents on LiveKit Agents with response times under half a second, and we run self-hosted LiveKit for teams that need the media server in their own cloud.

Shipped with it

-   [Voice assistant for Medicare patients](https://vindler.solutions/case-studies/medicare-voice-assistant)

Hire for it

[LiveKit and voice AI developers](https://vindler.solutions/hire/livekit-developers)

## Langfuse

Self-hosted and cloud deploymentsDirect channel with the Langfuse team

Tracing, evaluation and cost per request go in with the first release, and Langfuse is how we usually do it. We have run it self-hosted and on Langfuse Cloud, and we share feedback with their team through a shared Slack channel.

Shipped with it

-   [Medicare voice assistant, traced end to end](https://vindler.solutions/case-studies/medicare-voice-assistant)

Hire for it

[Langfuse developers](https://vindler.solutions/hire/langfuse-developers)

## Questions buyers ask

### Does working with you lock us into one model or vendor?

No. We pick the platform per project and write down why. Model calls go through a thin layer of your own code, so switching from one provider to another is a configuration change plus an evaluation run, not a rewrite.

### Do you resell any of these platforms or take referral fees?

We do not resell licences or cloud usage. You pay AWS, Langfuse or any other vendor directly, on your own account. If a vendor ever paid us for a referral on your project, we would tell you before you signed.

### Whose accounts do you build in?

Yours, from day one. The repository, cloud account, model API keys and observability project are created in your company's name, and we work in them with access you can revoke.

### We already ran a pilot that stalled. Can you pick it up?

Usually, yes. We start with a fixed-price review of what exists, so you know what is worth keeping before anyone commits to a build.

[Start with a review](https://vindler.solutions/production-readiness-review)

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