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Automat-it Launches Free AI Engineering Campaign for AWS Startups


Automat-it Launches Free AI Engineering Campaign for AWS Startups
  • by: EinPresswire
  • |
  • July 17, 2026

Automat-it has introduced a new initiative aimed at helping fast-growing startups accelerate AI adoption without adding pressure to already stretched engineering teams. The AWS Premier Partner is offering eligible organizations 40 hours of free AI engineering support to build production-ready AI capabilities directly within their AWS environments.

The campaign is designed to help startups move beyond AI experimentation by delivering deployable solutions instead of proof-of-concept projects or consulting recommendations.

Quick Intel

  • Automat-it launched a campaign offering 40 free AI engineering hours for eligible AWS startups.
  • Senior AI engineers will build one production-ready AI capability directly in the customer's AWS environment.
  • Eligible startups must have a minimum monthly AWS spend of $20,000 (excluding Marketplace).
  • Supported use cases include RAG, Claude on Amazon Bedrock, SageMaker fine-tuning, NLP-to-SQL, and voice-to-text pipelines.
  • The initiative aims to reduce engineering backlogs and accelerate AI deployment.
  • Customers retain ownership of the deployed AI solution from day one.

Automat-it Helps Startups Accelerate AI Deployment

Automat-it has announced a new campaign designed to address one of the biggest barriers to enterprise AI adoption—limited engineering capacity. Through the initiative, eligible startups receive 40 hours of hands-on support from a senior AI engineer at no cost to develop and deploy a fully scoped AI capability within their AWS infrastructure.

Rather than focusing on workshops or pilot projects, the company says the program emphasizes building production-ready AI solutions that customers can immediately integrate into their existing environments.

AI Engineering Support for Production Workloads

Under the campaign, participating startups can select from several AI implementation scenarios designed to accelerate product development and operational efficiency.

Available capabilities include:

  • Claude Code on Amazon Bedrock for secure AI application development.
  • Foundation model fine-tuning using Amazon SageMaker.
  • Retrieval-Augmented Generation (RAG) and AI knowledge bases.
  • Prompt and context optimization for generative AI applications.
  • Natural language to SQL (NLP-to-SQL) solutions.
  • Voice-to-text processing pipelines for meetings and audio content.

Automat-it says each engagement is delivered directly within the customer's AWS account, allowing internal engineering teams to retain complete ownership of the resulting solution.

Reducing Engineering Backlogs

The campaign targets startups whose engineering teams are prioritizing core product development while AI initiatives remain delayed due to resource constraints.

"I speak with startup founders every day, and I often hear the same frustration. They want to ship AI, but their engineering backlogs are completely full," said Ziv Kashtan, CEO of Automat-it. "By bringing our senior engineering capabilities and AI expertise directly into their AWS environment, we solve this bottleneck. We build the AI capability so your team can stay focused on building the core product, without wasting time on slide decks or pilots that never ship."

According to Automat-it, this approach enables startups to move AI projects from experimentation into production while minimizing disruption to existing development roadmaps.

Eligibility and AWS-Focused Delivery

The campaign is available to startups with a minimum monthly AWS spend of $20,000, excluding AWS Marketplace expenses.

As an AWS Premier Partner, Managed Services Provider, and holder of the AWS AI Services Competency, Automat-it says it delivers AI capabilities using AWS-native services with an emphasis on security, scalability, reliability, and enterprise-grade performance.

By integrating AI solutions directly into customer environments, the company aims to help startups accelerate AI adoption while maintaining control over their codebase and infrastructure.

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