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Lera Technologies Tech Stack

AI-driven enterprise intelligence platform for financial services modernization

Software Development Hyderabad, Telangana 51–200 employees Privately Held

Lera operates at the intersection of legacy banking systems and AI-powered decision automation. The stack reveals a dual architecture: deep T24/jBASE (core banking) expertise paired with modern Python, PySpark, and LLM infrastructure (OpenAI, LangChain, LangGraph). Projects span NL-to-SQL systems, RAG pipelines, and T24 modernization—pointing to a core mission of unlocking dark data in financial institutions and automating complex operational workflows. Hiring velocity is accelerating with balanced department growth, suggesting they're moving from services-led to product-led delivery.

Tech Stack 50 technologies

Core StackAzure Data Factory Python PySpark AWS Apache Spark Hadoop Pandas NumPy scikit-learn LangChain OpenAI FastAPI Docker Kubernetes PostgreSQL MySQL Oracle T24 jBASE SQL Server Integration Services Azure GCP Replit XGBoost Matplotlib LangGraph Azure OpenAI Service FAISS Chroma LangSmith+19 more

What Lera Technologies Is Building

Challenges

  • Data modernization challenges
  • Data integration
  • Data governance
  • Integration challenges
  • Governance challenges

Active Projects

  • Critical banking technology initiatives
  • Innovation and improvement of t24 applications
  • Genbi platform
  • Nl-to-sql system
  • Rag pipeline
  • Finsight 360
  • Scaling product practice

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Data
2
Engineering
1
Marketing
1
Product
1
Sales
1

Seniority

Mid
2
Intern
1
Lead
1
Manager
1
Senior
1
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About Lera Technologies

Lera helps enterprises translate data and AI investments into measurable business outcomes, focusing on financial services and core banking modernization. The company operates from Hyderabad with global reach and deep domain expertise in legacy banking systems (T24, jBASE) combined with modern data and intelligence platforms. Their platform layer—combining data warehousing, business intelligence, and agentic AI—targets gaps in data governance, integration, and operationalization across finance, risk, and operations. With 20+ years of delivery experience in production banking systems, they position themselves as a bridge between legacy IT infrastructure and next-generation AI automation.

HeadquartersHyderabad, Telangana
Company Size51–200 employees
Hiring MarketsIndia

Frequently Asked Questions

What is Lera Technologies' tech stack?

Lera uses T24 and jBASE for core banking, plus Python, PySpark, Spark, and Hadoop for data processing. AI layer includes OpenAI, LangChain, LangGraph, and vector databases (FAISS, Chroma). Cloud: Azure, AWS, GCP. Infrastructure: Docker, Kubernetes, PostgreSQL, MySQL, Oracle.

What is Lera Technologies working on?

Projects include NL-to-SQL systems, RAG pipelines, T24 application improvements, the GenBI platform, FinSight 360, and scaling product practice. Focus on data modernization, integration, and governance challenges in banking.

How this profile is built

Lera Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.