Design Multi-Agent
Systems 
that
Think Together
We leverage Microsoft's AutoGen framework to build flexible and versatile multi-agent conversation systems, treating agents as customizable, executable units of code. Our expertise lies in designing complex, human-in-the-loop and hybrid workflows where different agents can communicate and negotiate to solve tasks, often automating development, testing, and data analysis.
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Advanced Conversational AI Frameworks
AutoGen is a framework developed by Microsoft that enables the creation of multiple agents capable of conversing with each other to solve tasks. It focuses on a highly customizable interface, allowing agents to be configured as LLM-backed, human-proxy, or purely code-executing. This conversational paradigm is especially powerful for automating tasks that require iteration, review, and dynamic decision-making.
Conversational Workflows that Think and Collaborate
From testing to analysis, multi-agent workflows that optimize every process.
Automated Code Generation
Agents generate test cases, run them against code, and automatically report failures or issues.
Predictive Financial Modeling
Agents research market data, run calculations, and present financial predictions for decision-making.
Scientific Simulation and Analysis
An agent writes and executes simulation code, providing detailed analysis and predictive outcomes.
Interactive Documentation Generator
Agents analyze a codebase to create accurate, real-time usage examples and documentation.
IT Security Analyst Simulation
Agents probe a simulated network, identifying vulnerabilities and generating detailed security reports.
Technology Stack
AutoGen with OpenAI models and Azure-based deployments.
Automated Agent
Systems that work
in Sync
Human-aware, code-executing agents built for precision and scalability.
Automated Workflows
Coder and Reviewer agents collaborating for seamless end-to-end code generation and validation.
Human Oversight
Integrated user proxy agents enabling real-time feedback and approval during execution.
Data Intelligence
Specialized agents executing secure Python workflows for analytics and visualization.
Complex Reasoning
Multi-step solvers handling analytical, mathematical, and logical problem sequences.
Enterprise Connectivity
Integrated AutoGen agents operating within enterprise tools like Microsoft Teams for unified workflows
Our Journey of Making Great Things
Clients Served
Projects Completed
Countries Reached
Awards Won
The Future of Collaborative AI Automation
Adaptive frameworks, secure execution, and enterprise-grade orchestration.
Flexible
Agent
Dynamic
Execution
Scalability for
Development
Conversational Paradigm
Easy Customization
What Our Clients Say About Us
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Moumita Chandra
Senior Associate, Clasp
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Ankit Chansoria
Parliament of India
“Really enjoyed the process working with Webority, which helped us deliver quality to our customers. Our clients are very satisfied with the solution.”
Prasanta Kumar
CEO, ComplySoft
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Balaji Srinivasan
CTO, Dreamfolks
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Kumar Anubhav
CEO, NotOnMap
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Amit Sahu
CEO, PNF Events
“Webority Technologies has made our website stand out with its minimalist design. The hues of browns and greys draw the eye, and our call to action and services remain the highlights! The entire website is so well organised in terms of information that it not only draws the reader in but keeps them on the page with relevant information—just what works with law firms!”
Sapna V Malik
Founder, Legal Eagle’s Eye
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Poonam Singh
Owner, Charmante
“Most websites in our industry are complicated and daunting—just as our work appears to be. Webority Technologies understood exactly what I needed. We now have a website that is informative, simple, intuitive, responsive, and secure! These days, when one can nearly do everything on financial websites, this is exactly what we needed to make our website exceptional and not just functional.”
Jatin Kapoor
Founder, Credeb Advisors LLP
Frequently Asked Questions
Agents communicate through structured conversation loops, sharing messages, code, or results until the task is completed.
Yes. It supports hybrid agents, tool calls, retries, and validation mechanisms ideal for testing, analytics, and enterprise automation.
Execution can be sandboxed, restricted, or human-approved, ensuring no unsafe or destructive operations occur.
Yes. Agents can be equipped with custom tools that interface with internal APIs, messaging systems, ticketing platforms, etc.
Multi-agent setups allow specialization (e.g., coder, reviewer, analyst) leading to higher-quality, iterative, peer-reviewed outputs.