AI platform for predictive business operations and low-code automation
Predigle builds a low-code AI platform (Pi) for predictive analytics and operational automation. The tech stack reveals a mature DevOps and observability practice—Jenkins, Terraform, CloudFormation, Kubernetes, Prometheus, Grafana—paired with LLM orchestration tools (LangChain, LangGraph, CrewAI, LlamaIndex) and RAG/GraphRAG, signaling active investment in agentic AI workflows. Internal projects focus heavily on infrastructure modernization (migrating from Chef to Ansible, consolidating observability) and platform integration, suggesting the team is scaling the Pi product while rebuilding deployment pipelines.
Predigle operates as an EsperGroup subsidiary focused on predictive analytics and intelligent automation for business operations. The core product, Pi, is a low-code/no-code AI platform combining deterministic and non-deterministic models to solve operational problems. The company is headquartered in Dover, Delaware, and employs 51–200 people with active hiring concentrated in India. Current hiring momentum is decelerating but remains concentrated in senior and mid-level engineering and product roles.
Pi, a low-code/no-code AI platform that combines deterministic and non-deterministic models for predictive business operations and automation.
Infrastructure: Jenkins, Terraform, Kubernetes, Docker, Ansible. Observability: Prometheus, Grafana. AI/LLM: LangChain, LangGraph, CrewAI, LlamaIndex, RAG, GraphRAG, Amazon Bedrock, Azure AI. Data: Snowflake, Neo4j, FastAPI.
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