Success Stories

Real-world examples of how we've helped enterprises transform their operations with AI

Case Study 1
Text-to-SQL Agent
Built a natural language to SQL agent enabling employees to query internal databases using everyday language and instantly extract insights.

Impact

Reduced query turnaround time by 80% and improved accessibility for non-technical users across the organization.

80%
Time Saved
95%
User Adoption
500+
Queries/Day
98%
Accuracy

Tech Stack

OpenAI GPTLangChainSQL ParserFastAPIPostgreSQL

"This tool has democratized data access across our company. Non-technical teams can now get insights in seconds instead of waiting days for reports."

Sarah Chen
VP of Data Analytics
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Case Study 2
RFQ Automation for Logistics
Automated RFQ (Request for Quote) processing for a trucking company receiving large volumes of load transport requests via email.

Impact

Reduced manual effort by 90%, improved accuracy, and accelerated quote turnaround times from hours to minutes.

-90%
Manual Effort
5 min
Processing Time
99.2%
Accuracy Rate
200+
Daily Volume

Tech Stack

Microsoft Graph APIAzure FunctionsOpenAI LLMPostgreSQLReact

"The AI pipeline transformed our operations. We can now handle 3x the volume with the same team size while maintaining higher accuracy."

Michael Rodriguez
Operations Director
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Case Study 3
AI Model Safety Testing Platform
Built a platform to test and evaluate LLMs for safety, bias, and compliance across multiple categories with automated red-teaming.

Impact

Helped the enterprise proactively detect unsafe model behaviors and improve reliability before production deployment.

10K+
Tests Run
250+
Issues Found
75%
Time Saved
100%
Coverage

Tech Stack

PythonFastAPILangChainGPT-4StreamlitMongoDB

"This platform gave us confidence to deploy AI at scale. We can now systematically test for safety issues that would have been impossible to catch manually."

Dr. Emily Watson
Chief AI Officer
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