Platform Profile
Project Snapshot
Healthcare & Life Sciences
1,500+ employees
React
PostgreSQL
Bangalore, India
AI Agent Testing & Evaluation Platform
Python, FastAPI
Celery, Docker, Kubernetes
About the Client & Project Context
Evaluating AI Agents Used in Enterprise Healthcare and Research
The platform was developed for a leading analytics and AI consulting organization serving a major research-driven biopharmaceutical enterprise.
As AI agents are introduced into enterprise workflows, teams need a structured way to evaluate their outputs before using them in broader applications. This includes checking generated responses against expected results, comparing different environments, and reviewing evaluation results in a consistent format.
The project focused on building a centralized platform for testing and evaluating AI agents, including Text2API, Text2Doc, and Text2SQL. It provided a way to process batches of evaluation questions, compare generated outputs against predefined ground truth datasets, and review the results.
Project Requirements
A Centralized Platform for AI Agent Evaluation
The organization needed a platform to evaluate AI agent outputs across source and target environments using predefined questions and ground truth data
Bulk evaluation
Upload Excel files containing 500–600 evaluation questions per batch.
AI-powered validation
Route evaluation questions through configured GenAI validation workflows.
Environment comparison
Compare generated responses from source and target environments against ground truth data.
Configurable evaluation rules
Apply defined logic to determine Pass/Fail outcomes.
Consolidated reporting
Generate downloadable reports for reviewing evaluation results
Background processing
Handle long-running evaluation jobs without blocking the user interface
Progress tracking
Allow users to monitor evaluation jobs and review results.
Team-based access
Support controlled access and shared evaluation files
IT IDOL Technologies' Role
IT IDOL Technologies designed and developed the platform architecture and user-facing application to support the AI agent testing and evaluation workflows.
Backend Development & Architecture
Developed the backend and platform architecture to support core functionality, data processing, and evaluation workflows.
Excel Ingestion & Evaluation Orchestration
Implemented Excel data ingestion and evaluation orchestration to process inputs and manage evaluation tasks.
React-Based User Interface
Developed the React-based interface for managing evaluation workflows and accessing computed results.
Job Processing, Validation & Reporting
Implemented asynchronous job processing, configurable validation logic, team-based access controls, result computation, and report generation.
Engineering
Solution & Implementation
The platform was developed to help teams evaluate AI agent responses across different environments using structured validation workflows. It combines bulk Excel ingestion, GenAI validator execution, asynchronous processing, result comparison, report generation, and team-based access within one application.
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The platform accepts Excel files containing evaluation questions and processes the input for use in evaluation workflows.
Each question is prepared for processing through the configured validation pipeline. This allows teams to submit batches of questions rather than manage each evaluation individually.
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The evaluation workflow routes questions through configured GenAI validators for agents such as Text2API, Text2Doc, and Text2SQL.
Responses from source and target environments are compared against predefined ground truth data. The platform applies configurable validation logic to produce structured Pass/Fail outcomes for review.
This provides a consistent format for examining evaluation results across environments.
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Individual evaluations can take 30–45 seconds, making background processing important for large batches.
The platform uses Celery for asynchronous task execution. Evaluation jobs can run in the background while users continue working with the application and monitoring job progress.
The implementation also includes parallel processing to handle evaluation workloads.
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The platform consolidates evaluation results into a structured format that users can review within the application.
Users can preview results and download the generated evaluation reports for further analysis. This brings question-level outcomes into a central workflow rather than requiring teams to manage results across separate files and processes.
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The React-based frontend provides an interface for managing evaluation activities.
Users can:
- Upload and manage evaluation files.
- Configure evaluation environments.
- Monitor evaluation progress.
- Preview generated results.
- Download evaluation reports.
The interface brings file management, evaluation execution, and result review together within the same application.
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The platform includes team-based access controls and shared file management to support collaboration across different groups.
These capabilities help organize access to evaluation workflows and their associated files within the application.
AI Agent Testing and Evaluation
Bulk Excel Processing
Handles batches of 500–600 evaluation questions.
Multi-Environment Comparison
Compares outputs from source and target environments against ground truth data.
Configurable Pass/Fail Evaluation
Applies defined validation logic to produce structured evaluation outcomes.
Asynchronous Processing
Uses Celery to execute evaluation jobs in the background.
Parallel Execution
Supports concurrent processing of evaluation workloads
Progress Monitoring
Provides visibility into evaluation job status.
Report Generation
Produces downloadable reports for reviewing results
In-Application Result Preview
Allows users to inspect results before exporting reports.
Team-Based Access
Supports controlled collaboration and shared evaluation files.
Have a Similar AI Platform in Mind?
Whether you’re building an AI testing platform, integrating AI into an existing application, or developing software for specialized enterprise workflows, IT IDOL Technologies can help you plan and develop a solution around your requirements.