AI transformation and operating model design for enterprises
Agentic Dream embeds AI capabilities into enterprise operations through organizational redesign, not tooling. The tech stack—Spring Boot, Java, PostgreSQL, TensorFlow, PyTorch, LangChain, and vector databases (Pinecone, Weaviate, FAISS, Chroma)—reflects a services-heavy, custom-build practice focused on AI agents and data integration. Active projects center on microservices modernization, ERP migration to cloud, and centralized data platforms; the 21 senior engineers and 4 data specialists hired suggest deep technical engagement on customer transformations, not resale of off-the-shelf AI products.
Founded in 2013 and based in Fort Lauderdale, Agentic Dream serves mid-to-large enterprises transitioning to AI-native operations. The firm combines AI readiness assessments, embedded delivery units that design and deploy AI systems for specific functions (Sales, Finance, Support, HR, Operations), and operating model redesign to scale AI across business processes. Clients span North and South America. The company is actively replacing SAP legacy systems (ECC, BPC, APO, Analytics Cloud) with cloud-native architectures while adopting GraphQL to unify API consumption across microservices.
Python, TensorFlow, PyTorch, scikit-learn, LangChain, and OpenAI API for model and agent work. Backend: Spring Boot, Java, PostgreSQL, FastAPI, Flask. Vector stores: Pinecone, Weaviate, FAISS, Chroma. Infrastructure: AWS, Azure, GCP.
Microservices modernization, API gateway and GraphQL services, SAP-to-cloud migration and data integration, centralized AI-enabled data platforms, CI/CD acceleration, and AI-driven agents for customer service and process automation. Active on master data governance and data stewardship across fragmented ERP systems.
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