AI in the cloud

Artificial Intelligence with AWS

From cognitive process automation to development agents with Kiro, Núvoli implements AI that delivers real results, integrated with your AWS environment.

AI capabilities we deliver

Complete solutions on the AWS platform, from model to agent, from data to decision.

AWS Bedrock

State-of-the-art language models through a managed, serverless API. Claude, Llama, Titan, Mistral and more, with no infrastructure to manage.

Autonomous AI Agents

Agents that run complex tasks autonomously, query databases, interact with APIs and make context-based decisions.

Custom Machine Learning

Models trained on your data with Amazon SageMaker for demand forecasting, classification, anomaly detection and recommendation.

Cognitive Automation

Business processes automated with AI: document triage, data extraction, ticket classification and intelligent customer service.

RAG — Retrieval Augmented Generation

AI connected to your databases, documents and internal systems for precise, contextual and auditable answers.

Analytics with AI

Predictive insights and advanced analysis of operational, financial and customer data for faster, better-grounded decisions.

AI applied to your business

Use cases ready to implement, with AWS architecture and Núvoli expertise.

Chatbots and Enterprise Assistants

Intelligent assistants connected to your internal systems, CRM, ERP and knowledge bases.

Document Processing

Automatic extraction, classification and summarization of contracts, invoices, reports and technical assessments.

Semantic Search

Intelligent search across internal databases, technical documentation and ticket history.

Support Automation

Automatic triage, suggested responses and autonomous resolution of low-complexity requests.

Predictive Analysis

Demand forecasting, anomaly detection and early alerts across business data.

AI for Security

Threat detection, analysis of suspicious behavior and automatic incident response.

Powered by AWS · New generation

Kiro: Agentic AI for Development

Kiro is the AWS AI IDE that goes beyond code suggestions. It turns prompts into requirements, design and tasks, then implements everything with parallel agents. Núvoli rolls out Kiro across your development team and integrates it with your AWS workflow.

Why is Kiro different from every other code assistant?

Ordinary code assistants react to what you type. Kiro thinks alongside you: it starts from the problem, generates specs, discusses architecture, breaks the work into tasks and only then implements, with multiple agents running in parallel.

The result is software that does exactly what was specified, with full traceability from requirement to code, auditable security on every action and quality backed by property-based testing.

Ordinary assistant

Completes the code you start typing

Copilot / Cursor

Suggests and generates code blocks in the editor

Kiro

Specifies, architects, implements and tests with parallel agents

What Kiro delivers to your team

Spec-Driven Development

Kiro turns prompts into structured requirements, architecture design and sequenced tasks before a single line of code is written. That removes "vibe coding" and delivers software that does what was specified.

Parallel Agents (Kiro Crew)

Multiple specialized agents work in parallel on different parts of the project: one writes code, another reviews, another tests. Faster delivery without sacrificing quality.

Code Generation and Review

Autonomous feature implementation from specs, with behavioral review of the generated code. It catches logic problems that ordinary unit tests miss.

Hooks and Workflow Automation

Configurable hooks that fire automatic actions at every event in the development cycle: lint on save, tests on file creation, review on PR submission.

Security by Design

Operating system level sandbox, commands denied by default, blocking of suspicious patterns, credential redaction and a signed audit log of every action.

Property-Based Testing

Automatic generation of tests that cover edge cases which pass unit tests but break in production, raising the reliability of the code you ship.

Kiro in practice: how your company can use it

Faster development cycle

Teams that adopt Kiro cut feature implementation time by up to 60%, keeping full traceability across requirement, design and code.

Onboarding new developers

Kiro documents the codebase continuously and lets new team members contribute with confidence from day one.

Legacy system modernization

Kiro agents analyze legacy code, generate documentation and propose modern architectures, speeding up refactoring and migration projects.

Internal process automation

Internal scripts and automations built with Kiro for tool integration, report generation and repetitive processes.

AI-assisted code review

Kiro acts as a permanent technical reviewer, flagging security, performance and maintainability problems before human review.

Automated test generation

From specs and existing code, Kiro generates complete test suites that cover critical paths and edge cases automatically.

Measurable business benefits

Shorter feature development time
Traceable specifications from requirement to code
Fewer production bugs thanks to automatic tests
Continuous code review by specialized agents
Documentation generated and kept up to date automatically
Auditable security on every agent action
Faster onboarding for new developers
Native integration with the AWS ecosystem

Native AWS integration

Kiro is built by AWS and integrates directly with CodePipeline, CodeCommit, IAM, Bedrock and other services in the ecosystem, making your development environment part of the same cloud platform that runs your infrastructure.

AWS BedrockCodePipelineIAMCodeCommitCloudWatchS3

Roll out Kiro across your team with Núvoli

We handle the full setup, integrate it with your AWS workflow and train the team to get the most out of agentic AI development.

Is your company ready for the AI era?

From process automation to agentic development with Kiro, talk to our specialists and find the right path for your business.

Start an AI project →