- About us
- Company details
Brainy Labs is a Bologna-based software engineering company specializing in enterprise-grade custom software development. Founded by a team of senior developers with deep experience in regulated and high-complexity industries, we serve as a trusted technology partner for organizations that need reliable, scalable, and secure digital solutions.
Our core verticals include fintech, banking, insurance, enterprise e-commerce, and manufacturing — sectors where software quality, compliance, and long-term maintainability are critical. We maintain multi-year partnerships with our clients, reflecting our commitment to lasting value over short-term engagements.
Services
Our offering spans the full software lifecycle:
- Custom Web & Mobile Development: Enterprise applications built with Java/Spring Boot, Angular, React, and cross-platform mobile frameworks (Flutter, Ionic). We specialize in multi-tenant platforms, complex back-office systems, and API-first architectures.
- AI Integration & MCP Servers: We build production-ready AI solutions connecting large language models to enterprise systems through the Model Context Protocol (MCP). Our expertise covers RAG pipelines, AI workflow orchestration, semantic search, and compliance-ready deployments with full observability.
- Data Engineering & ETL: Design and optimization of data pipelines using Apache Spark, Apache NiFi, and AWS services (Glue, Step Functions). We handle large-scale data migrations, real-time event processing, and KPI computation on high-volume datasets.
- Enterprise E-Commerce: Deep expertise in HCL Commerce with advanced search integrations (Algolia, OpenSearch), multi-brand/multi-country catalog management, and complex pricing and promotion engines.
- DevOps & Cloud Infrastructure: CI/CD pipelines, containerization (Docker/Kubernetes), Infrastructure-as-Code (Terraform on AWS), monitoring, and security hardening. We support both cloud-native and on-premise environments.
- Pandora — Modular ERP Framework: Our proprietary platform accelerates custom management software delivery with pre-built modules for authentication, document management, dashboards, and more. Built on Spring Boot and Angular, it enables rapid MVP-to-production cycles.
Technology Stack
Backend: Java, Spring Boot, Quarkus, Node.js, NestJS
Frontend: Angular, React, Next.js, TypeScript
Mobile: Flutter, Ionic
Data: Spark, NiFi, PostgreSQL, MongoDB, DynamoDB, Elasticsearch
Cloud: AWS
DevOps: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Bitbucket
Security: OWASP, SonarQube
Year of establishment:
2021
Number of employees:
FROM 3 TO 9 EMPLOYEES
Annual turnover:
between 250.000 and 500.000 Euro
Reference year of turnover:
2025
Export turnover:
Not available
Activities:
Computer programming activities
Computer consultancy and computer facilities management activities
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- Contact Information
- Business Proposals
Company:
BRAINY LABS S.R.L.
Web site:
Address:
VIA CLAUDIO TREVES, 24
City:
BOLOGNA (BO)
Zip Code:
40135
E-commerce:
Social media:
Tag:
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- Map
Custom Web & Mobile Development
We design and build enterprise-grade web and mobile applications.
Our approach is architecture-first: we analyze business goals, user needs, and technical constraints before writing a single line of code. This ensures solutions that are scalable, maintainable, and aligned with long-term product strategy.
Backend Development
We build robust APIs and microservices using Java with Spring Boot and Quarkus, as well as Node.js with NestJS. Our systems handle multi-tenant architectures, complex business logic, and high-throughput data processing. We design RESTful, GraphQL, and SOAP interfaces depending on integration requirements, always following security-by-design principles.
Frontend Development
We deliver modern, responsive user interfaces with Angular and React/Next.js using TypeScript. Our frontend work emphasizes performance, accessibility, and clean component architecture — critical for back-office platforms and data-intensive dashboards where usability directly impacts productivity.
Cross-Platform Mobile
Using Flutter and Ionic, we develop mobile applications that share a single codebase across iOS and Android without sacrificing native-quality user experience. This approach reduces time-to-market and maintenance costs while ensuring consistent functionality across devices.
Quality & Security
Every project includes automated testing (unit, integration, E2E), continuous integration pipelines, SonarQube code analysis, and OWASP-compliant security practices. Code review is mandatory. We don't ship code we wouldn't trust in production.
We operate as an embedded extension of your development team — not an outsourced vendor, but a committed technology partner invested in your product's success.
Data Engineering & ETL
Unstable pipelines, unmanaged data rejects, and unpredictable execution times have a direct cost on your business.
We design and build ETL processes and data workflows that are reliable, measurable, and maintainable — from reverse engineering legacy flows to delivering new production-grade pipelines with clear metrics on execution time, data quality, and operational cost.
What We Deliver
- ETL Development & Optimization: We build extraction, transformation, and loading processes using Apache Spark and Apache NiFi. We analyze existing pipelines to identify why they are unstable, slow, or failing, and we optimize or rewrite them where needed. Processes that previously took hours now run in minutes.
- Database & Search Index Modeling: We design data models and search indices (OpenSearch, Elasticsearch) along with the flows that populate them, enabling efficient access from applications and services.
- Workflow Automation: We replace error-prone manual procedures with orchestrated workflows using AWS Step Functions and n8n, integrating disparate systems so your team can focus on high-value work.
- Data Science & KPI Computation: We process, validate, and compute KPIs on large data volumes to support operational decision-making.
Technologies: Apache Spark, Apache NiFi, Spring Batch, AWS Glue, AWS Step Functions, n8n, Java, Scala, Python, OpenSearch, Elasticsearch
DevOps & Cloud Infrastructure
Inconsistent environments, manual releases, and undocumented infrastructure slow down projects and increase operational risk.
We introduce tailored DevOps practices and automation to make your releases repeatable, your environments aligned, and your operations measurable — covering CI/CD, Infrastructure-as-Code, monitoring, and security.
What We Deliver
- CI/CD Pipelines: We automate build, test, and deployment across multiple environments, replacing manual procedures with versioned, repeatable pipelines using GitHub Actions, Bitbucket Pipelines, or Jenkins.
- Infrastructure Assessment & Documentation: We map your infrastructure, identify critical issues, and define improvement roadmaps. We produce as-is documentation and operational runbooks.
- Containerization & Orchestration: We migrate applications to Docker and Kubernetes, standardizing deployments and simplifying management across environments.
- Infrastructure-as-Code: Using Terraform on AWS, we define infrastructure as versioned, reproducible, auditable code.
- End-to-End Operations: We can manage your entire infrastructure, monitoring, and CI/CD stack, allowing your team to focus on core development.
Technologies: GitHub Actions, Bitbucket Pipelines, Jenkins, Docker, Kubernetes, Terraform, Ansible, Portainer, AWS (Lambda, ECS/EKS, S3, IAM), Proxmox
AI Integration & MCP Servers
The Model Context Protocol (MCP) is an open standard that lets AI models interact with your business systems through a unified, structured interface. Instead of building fragile, one-off integrations between LLMs and your tools, MCP provides a single protocol that any AI client or agent can use to access your internal capabilities.
We design and build production-ready MCP servers that turn your existing systems into AI-accessible resources.
What We Deliver
- MCP Server Development: We build MCP servers that expose your internal tools — APIs, databases, services, business actions — as standardized capabilities. Once published, any MCP-compatible AI client can discover and use them, eliminating duplicate integrations across teams and projects.
- System & API Connectors: We create MCP-compliant connectors to your ERP, CRM, microservices, databases, and document stores, enabling AI models to query data, trigger actions, and interact with your operational backbone through a single protocol.
- RAG & Knowledge Access: We build retrieval-augmented generation pipelines that index your internal documentation (wikis, PDFs, runbooks) and expose them as MCP resources with semantic search and source citations — turning scattered knowledge into an intelligent, queryable asset.
- AI Workflow Orchestration: We design multi-step AI workflows with approval gates, retries, and confidence thresholds, orchestrating LLM reasoning with real business processes such as ticketing, data enrichment, and backoffice automation.
- Observability: We instrument MCP servers with end-to-end tracing (OpenTelemetry), latency and cost metrics, and automated quality evaluations so you can monitor AI interactions in production.
Technologies: MCP, REST/GraphQL, Spring Boot, Node.js/NestJS, Docker, RabbitMQ, OpenSearch, Elasticsearch, Vector DBs, AWS (Lambda, S3, ECS/EKS)