Sold by: NileForge Technology
Turn your idea into a working AI product on AWS. NileForge builds generative AI applications and the data foundations behind them, from Amazon Bedrock and RAG to production pipelines, so your startup can ship AI features instead of spending months on infrastructure.
Overview
Startups building AI products need to get from idea to something real quickly, but standing up a full AI and data stack on AWS takes specialized knowledge across model selection, data pipelines, infrastructure, and the tooling that keeps it all running. Without that, teams spend their time on plumbing instead of the AI features that make their product stand out. NileForge builds this stack for you, from an early proof of concept through to a production-ready deployment.
On the generative AI side, we build applications on Amazon Bedrock, including chatbots, retrieval-augmented generation over your own content, AI agents, and document processing. We help you choose the right model for each use case by testing candidate models against your real data, so you get the quality you need without paying for more than you have to. We also put sensible guardrails in place, covering safety, evaluation, and quality checks, so your AI behaves predictably in production.
Good AI depends on good data, so data engineering is part of the same work. We design and build the pipelines that collect, clean, and prepare your data, set up vector search for retrieval, and make sure the data feeding your models is reliable and ready to use. Where you need traditional machine learning as well, we build and operate training and inference workflows so models move smoothly from experiment to production.
How it works. We start with a short call to understand what you are trying to build and agree on the first use case. We then design the architecture, build it iteratively, and hand over clear documentation so your team can maintain and extend it. You can engage us for a focused proof of concept, for a full production build, or for ongoing support as your AI features grow.
NileForge works exclusively on AWS, and this work is led by senior engineers with deep, hands-on experience building AI and data systems for startups. You get a clear process and a working result, not a research project.
This service supports and relates to a range of AWS services, including Amazon Bedrock, Amazon SageMaker, Amazon OpenSearch Service, Amazon S3, AWS Lambda, Amazon EKS, AWS Glue, Amazon Rekognition, and Amazon CloudWatch.
Every engagement is scoped to what you need and delivered through a private offer. Contact us through this listing to talk through your idea, and we will prepare an offer that fits.
Highlights
- Ship AI features faster by having our engineers build the full stack on AWS, from Amazon Bedrock applications and RAG to the data pipelines behind them, so your team stays focused on your product.
- Choose the right model for each use case. We test candidate models on Amazon Bedrock against your real data to balance quality and cost, and add safety guardrails and evaluation as standard.
- Build on solid data foundations, with pipelines, vector search, and reliable data preparation, plus machine learning training and inference workflows when you need them.
Details
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Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
NileForge provides support directly from our AWS engineering team. You can reach us by email at contact@nileforge.com , and more information is available at https://www.nileforge.com/ .
We respond promptly to requests, and issues that affect your live production environment are prioritized and handled ahead of routine work. The exact response times and coverage for your engagement are defined in the offer we agree with you.