LangGraph for Complex Workflows

LangGraph for Complex Workflows

We engineer stateful, cyclical, and self-correcting AI systems using LangGraph, moving beyond linear chains to solve your most complex automation challenges.

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Beyond Simple Chains: Building Stateful Agents

Standard AI agent frameworks are great for linear tasks, but real-world problems require loops, state memory, and dynamic decision-making. This is where simple chains fail.

ActiveWizards are experts in LangGraph. We use its graph-based structure to build sophisticated, state-aware agentic systems that can iterate, self-correct, and collaborate effectively.

Our LangGraph Development Services

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Technologies

Python is a programming language that lets you work quickly and integrate systems more effectively
Neo4j is a highly scalable native graph database that leverages data relationships as first-class entities, helping enterprises build intelligent applications to meet today’s evolving data challenges.
Docker - leading container platform
Kubernetes Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
LangChain is the essential framework for composing and deploying robust, context-aware applications powered by large language models.
LangGraph extends LangChain to build stateful, multi-agent applications with cyclical computations for solving complex problems.
LangSmith is a unified platform for debugging, testing, evaluating, and monitoring your LLM applications from prototype to production.
Python is a programming language that lets you work quickly and integrate systems more effectively
Docker - leading container platform
Kubernetes Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
LangChain is the essential framework for composing and deploying robust, context-aware applications powered by large language models.
LangGraph extends LangChain to build stateful, multi-agent applications with cyclical computations for solving complex problems.
LangSmith is a unified platform for debugging, testing, evaluating, and monitoring your LLM applications from prototype to production.
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Case studies

Engineering Intelligence in Action

Autonomous AI Agent for Codebase Analysis

We developed an AI-powered developer tool that ingests any GitHub repository, performs an automated architectural review, and provides an interactive chat for deep code Q&A, drastically accelerating developer onboarding and code comprehension.

Autonomous Agents for Strategic Competitor Intelligence

We engineered an autonomous AI system where a crew of specialized agents analyzes competitor websites, turning hours of manual research into an on-demand strategic report on SEO and marketing.

AI-Powered Data Governance & Security Platform

We developed an intelligent platform that automatically classifies unstructured data in over 70 languages, predicts its confidentiality level, and enforces data governance policies to meet GDPR requirements.

Real-Time Anomaly Detection for Patient Data Security

We built an AI-powered security platform for a healthcare startup that analyzes user activity logs in real time to detect and alert on suspicious behavior, protecting sensitive patient data.

What our clients say

Trusted by

Aegis
ArtofUs
Dathena
harispartners
tutegenomics
NYU

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