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Generative AI + Agentic AI competency · Global recognition

AWS AI Services Competency

Omnys has achieved the AWS AI Services Competency in both the Generative AI and Agentic AI categories. It’s more than just a badge: it’s AWS’s highest level of validation for partners who design, build and bring generative and agentic AI solutions into production, awarded by an independent third-party auditor based on proven expertise and successful customer projects.

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case studies

WHAT DOES THIS COMPETENCY MEAN

Partners with the AWS AI Services Competency deliver solutions that help customers address generative and agentic AI use cases.

From generative AI adoption and strategy, to model selection and customization, to building, testing, supporting and maintaining GenAI applications and their models and data sources. These partners add privacy, security and protection to customers’ generative AI workloads and define responsible AI principles and frameworks.

AI Services Competency

Generative AI + Agentic AI Consulting Services

Validated by an external auditor

Independent assessment of real-world projects

Best Paper Award

IntelliSys 2025 — Amsterdam

MORE THAN JUST A BADGE

Everyone talks about AI. An AWS-recognized Competency is objective proof.

Earning an AWS Competency is no easy feat: it requires submitting real-world case studies and demonstrating specialized expertise in well-defined areas, verified by an external auditor and validated globally.

With the introduction of the Agentic AI categories in late 2025, AWS raised the bar even higher: the new category recognizes partners capable of bringing autonomous AI systems into production with enterprise-grade governance and oversight. Omnys is among the first partners worldwide to have achieved both consulting categories.

For our customers, it's a concrete guarantee: we don't just have the capabilities, we've proven to AWS that we've applied them on real projects.
What the Competency certifies
Two categories, one standard: production
Generative AI adoption and strategy for customers
Selection and customization of LLMs su Amazon Bedrock
Building and testing generative AI applications
Support and maintenance of applications and models
Privacy, security and protection of GenAI workloads
Definition of responsible AI principles and frameworks
Omnys — Stack tecnologico AWS
AWS TECHNOLOGY STACK

AWS services at the core of our generative and agentic AI solutions

Amazon Bedrock
The core platform behind all our GenAI solutions. Access to leading foundation models (Claude, Llama, Titan), fine-tuning, integrated knowledge bases, and Bedrock Agents for autonomous workflows.
Amazon SageMaker
Training, fine-tuning, and model evaluation for custom models. End-to-end ML pipelines for use cases that require models trained on customers’ proprietary data.
Amazon OpenSearch
Vector database for our RAG architectures. Vector embeddings, semantic search, and hybrid keyword-based search for highly accurate information retrieval across enterprise knowledge bases.
AWS Lambda & Step Functions
Serverless architectures for GenAI APIs. Multi-step workflow orchestration, asynchronous document processing, automatic scaling, and costs aligned with actual usage.
Amazon S3 & DynamoDB
Scalable storage for document-based knowledge bases and conversation state management. Data lake architectures to power RAG systems with heterogeneous data sources.
AWS IAM & CloudTrail
Security, governance, and traceability. Granular access control, comprehensive audit logs, and compliance with industry regulations and ISO 27001 requirements.

OMNYS AI Platform — Enterprise Agentic RAG recognized by AWS worldwide

OMNYS AI Platform is the Enterprise Agentic RAG platform by Omnys, listed in the AWS Global Book of Offers with coverage across every region: AMER, EMEA, APJ and LATAM. It connects directly to corporate systems — databases, APIs, ERP, SaaS and documents — through a connector-based architecture, reasoning over proprietary data and executing complex workflows autonomously.

Built natively on Amazon Bedrock, Omnyscient combines multi-system agentic orchestration, advanced OCR, semantic search and workflow automation — with proven results: -80% search and processing time in real enterprise implementations.

Coming soon on AWS Marketplace · LLM tuning pipelines validated by the IntelliSys 2025 Best Paper Award

Discover Omnyscient in detail →

OMNYSCIENT FOR AWS

 

 

Amazon Bedrock

Model-agnostic foundation models, native agentic RAG engine

Bedrock Agents

Multi-system agentic orchestration with advanced reasoning

Bedrock Knowledge Bases

Enterprise RAG across documents, databases, and business systems

Bedrock Guardrails

Security, content filtering, and enterprise-grade compliance

Lambda + Step Functions

Serverless workflow automation and agentic execution

OUR PATH TO THE COMPETENCY
OUR PATH TO THE COMPETENCY

Research, experimentation, proven results

Achieving the AWS AI Services Competency wasn't a finish line, but the result of a long journey built on continuous research, experimentation and constant innovation. We chose not to simply follow well-trodden paths, but to develop differentiated solutions.

One of the key requirements is submitting real, concrete and tangible case studies: projects in production that demonstrate the ability to generate value with generative and agentic AI. Different projects, one shared approach: making AI deliver measurable value.

Best Paper — IntelliSys 2025, Amsterdam
"Domain-Specific and Cross-Lingual Synthetic Data Generation for Information Retrieval Training in RAG Applications"
ML per Demand Forecasting
+69% forecasting accuracy for more efficient supply chains
IEEE WCCI 2022 · IntelliSys 2020 · ESANN 2020
Publications on Information Retrieval, neural networks and optimization

How to get started

Free workshop funded by AWS

You don’t need to start with a complex project to get closer to GenAI. We have designed a free workshop to help companies understand whether, where and how GenAI can make a difference. The program requires no technical skills.

Session 1
Identify
Identify the most relevant use case for your business context. Define strategic objectives and high-value opportunities.
Session 2
Verify
Assess available data through qualitative and quantitative analysis. Evaluate the technology landscape and integration constraints.
Session 3
Validate
Define the proposed AWS architecture and pilot project (PoC). Estimate costs, assess risks, and outline a roadmap to get started.

At the end you will have: Architectural blueprint · CAPEX & OPEX cost estimate · LLM evaluation report · Roadmap to MVP

Zero-cost workshop

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risultati reali

Vedi tutti i casi di successo

Casi di successo in evidenza
Generative AI for Compliance and Regulatory Management in the Healthcare Industry
For CORCYM, leading company in the cardiac medical…
Accelerate the customs clearance process with Generative AI
For a leading company in the HVAC industry,…
AMF
AMF: Generative AI for Business Process Optimization
Omnys develops a multi-agent chatbot based on Amazon…

AI generativa e agentica, certificate da AWS

Omnys è tra i primi partner al mondo con entrambe le categorie consulting della AI Services Competency. Raccontaci il tuo caso d’uso e ti mostreremo cosa possiamo fare con Amazon Bedrock e Omnyscient.

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