Software engineering
Custom enterprise applications and cloud architectures designed to host artificial intelligence in production.
Every architectural decision accounts for scalability, maintainability, and AI readiness.
An AI agent in production needs APIs connecting it to enterprise systems, databases supplying it with data, and infrastructure that scales as load grows. Exelab designs cloud-native architectures on AWS (microservices, API-first, with continuous integration and continuous deployment) built to integrate artificial intelligence as a core capability.
Customer portals, complex management systems, operational interfaces, and internal tools that integrate data from multiple sources: every application is designed around the specific process and built to last.
Infrastructure design, provisioning, production and staging environments, disaster recovery: every layer designed to guarantee availability, scalability, and resilience.
Automated code review, test generation, documentation, and assisted refactoring: every phase of the development cycle powered by artificial intelligence.
REST APIs, GraphQL, webhooks, middleware, and ETL link every application to CRM, ERP, data warehouses, and communication platforms.
Exelab's engineering DNA
Enterprise software engineering products, built from within.
The 12 apps on the HubSpot Marketplace and Max Coach for REMAX are the result of enterprise software engineering. The acquisition of The Client Group in 2024 completed the team with vertical expertise in data and AI, covering the entire stack from frontend to infrastructure.