Leah Tech Stack

Agentic AI platform for legal, procurement, and finance workflows

Software Development London, London 201–500 employees Public Company

Leah builds domain-specific AI agents for enterprise back-office operations, with a tech stack anchored in Azure, LangChain, and SQL Server—infrastructure built for stateful, production-grade agent workflows. The platform sits at the intersection of LLM orchestration (LangChain, LangGraph, LangSmith) and enterprise data integration (Azure Data Factory, Qlik), suggesting Leah's core challenge is wiring AI agents into legacy data silos rather than pure LLM inference. Hiring velocity is accelerating with engineering and data roles leading—a signal they're scaling agent complexity and pipeline reliability.

Tech Stack 24 technologies

Core StackTerraform Docker Kubernetes Azure DevOps Python Node.js .NET Salesforce Power BI Azure Data Factory PL/SQL SQL Server GitHub Bitbucket LangChain PowerShell Bash Qlik SharePoint SQL Server Integration Services SQL Server Analysis Services SQL Server Reporting Services LangGraph LangSmith

What Leah Is Building

◆Challenges

Process optimization and automation
Increasing adoption
Increasing arr

▲Active Projects

Build environments on azure with high availability
Build and release pipelines
Advanced agentic ai systems
Production grade agent workflows
Custom tool development for unique needs
Qlik analytics dashboards
Data-loads using qlik or azure data factory
Integration with saas web application
Stateful ai workflows

Hiring Activity

Accelerating8 roles · 5 in 30d

Department

Engineering

Data

Sales

Support

Seniority

Senior

Lead

Junior

Mid

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About Leah

Leah (formerly ContractPodAi) sells agentic AI orchestration software to mid-market and enterprise buyers in legal, procurement, and finance. The product combines an 'Agentic OS' foundation with a specialized contract lifecycle management (CLM) layer, both designed to automate multi-step workflows while preserving human oversight. The company operates across seven offices spanning London, New York, Dubai, Sydney, Glasgow, Mumbai, and Singapore. Leah integrates with major LLM providers—OpenAI, Anthropic, Google, Microsoft, Meta, Cohere, Mistral—and uses its own Azure and SQL Server infrastructure to handle data governance and workflow state. The organization is in active growth mode, scaling pipeline velocity and ARR while addressing process optimization and user adoption.

HeadquartersLondon, London

Company Size201–500 employees

Hiring MarketsIndia, United Kingdom

Frequently Asked Questions

What is Leah's tech stack?

Leah uses Terraform, Docker, Kubernetes, and Azure DevOps for infrastructure; Python, Node.js, and .NET for application logic; LangChain, LangGraph, and LangSmith for AI orchestration; and Azure Data Factory, SQL Server, and Qlik for data pipelines and analytics.

What is Leah building right now?

Leah is focused on production-grade agentic workflows, custom tool development for agent integration, stateful AI systems, and data pipelines using Qlik and Azure Data Factory. Core work spans Azure infrastructure with high availability and build/release automation.