AI-Driven Software Development on AWS
Diversus · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AI moves fast, and most organisations are still working out how to apply it in ways that genuinely improve their products and operations. Diversus helps bridge that gap, working with your development and business teams to design, build, and deploy AI-powered applications on AWS that are practical, production-ready, and built to last.
**Use Case Discovery**: We start with a structured discovery process to identify where AI can create real business value. This produces a prioritised use case roadmap with clear success criteria, data requirements, and delivery approach.
Show the rest of the publisher’s description (6 more lines)
**Generative AI and LLM Integration**: We build applications using Amazon Bedrock, accessing foundation models from Anthropic, Meta, Mistral, and others. Whether you need document processing, intelligent search, conversational interfaces, or AI-assisted workflows, we design and build solutions that work reliably in production.
**Agentic AI Systems**: We design and deliver agentic AI workflows - systems where AI models take sequences of actions, use tools, and reason through complex tasks to complete a goal. Built on Amazon Bedrock Agents and AWS Step Functions, these systems can automate processes that previously required significant human effort.
**Machine Learning on AWS**: For predictive and analytical use cases, we build and deploy models using Amazon SageMake, handling data preparation, feature engineering, training, evaluation, and deployment pipelines with MLOps discipline.
**Responsible AI and Governance**: We build AI governance into every engagement - model evaluation frameworks, bias assessment, explainability, human-in-the-loop design, and audit logging. We help your organisation adopt AI confidently and responsibly.
**Getting Started**: Contact us to discuss your AI development goals and current capabilities.
This service relates to Amazon Bedrock, Amazon Bedrock Agents, AWS SageMaker, AWS Lambda, Amazon S3, Amazon OpenSearch, and AWS Step Functions.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI-powered application development on AWS using Amazon Bedrock, Bedrock Agents, and SageMaker, from use case discovery and proof of concept through to production-grade agentic and generative AI systems.
Responsible AI built for real business outcomes. We define the right use case, evaluate model performance, design human-in-the-loop controls, and build governance into your AI systems from the start.
Capability transfer built in. We work alongside your engineers and help them develop the skills to maintain, extend, and evolve AI systems independently after the engagement concludes.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

