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Agentic Dream Tech Stack
AI transformation and delivery for enterprise operations at scale
Agentic Dream embeds AI capabilities into enterprise operating models rather than selling point solutions. The tech stack—Python, FastAPI, LangChain, TensorFlow, PyTorch, and vector databases (Pinecone, Weaviate, FAISS, Chroma)—reflects deep ML/LLM infrastructure work; they're adopting GraphQL while actively migrating clients off legacy SAP modules (ECC, BPC, APO), signaling a shift toward cloud-native, AI-integrated ERP deployments. Senior-heavy hiring in engineering and data indicates they're scaling delivery capacity, not just advisory.
Tech Stack 129 technologies
Core StackAWS Jira Asana TensorFlow PyTorch scikit-learn LangChain Hugging Face Python FastAPI Flask Pinecone Weaviate NetSuite Salesforce SAP QuickBooks Snowflake Java React TypeScript Terraform Azure GCP Microsoft Project OpenAI API FAISS Chroma CrewAI Spring Boot+92 more
AdoptingGraphQL
ReplacingSAP ECC SAP BPC SAP APO SAP Analytics Cloud
What Agentic Dream Is Building
◆Challenges
- Unifying fragmented data systems
- Integrating multiple erp systems
- Reducing rework
- Protecting team from chaos
- Improving visibility
- Inconsistent backend systems
- Duplicated backend work
- Stabilizing platform long-term
- Reducing deployment risks
- Migration to microservices architecture
▲Active Projects
- Microservices architecture evolution
- Jira workflow redesign
- Ai-driven agents for customer service, process automation, and knowledge retrieval
- Sap cloud implementation projects
- Optimize prompt engineering and retrieval-augmented generation (rag) techniques for efficiency and accuracy
- Centralized ai-enabled data platform
- Data lakes and warehouses across multiple erp systems
- Master data governance framework
- Api gateway and graphql services foundation
- Implement llms and nlp techniques to improve ai agent capabilities
Hiring Activity
20 roles · 3 in 30d
Department
Seniority
Company intelligence
