Our Case Studies
Case Studies
Real-world results from Lucidic's automated AI optimization platform. See how we help teams compress months of manual work into overnight runs while achieving better results.
ServiceNow: Evaluating Lucidic's Training Method on Enterprise Workflows
ServiceNow evaluated Lucidic's training method on 1,150 tasks drawn from real enterprise workflows. The policy trained in simulation achieved a strict task success rate of 65%, compared with 51.1% for the strongest frontier model.
Task Success Rate
65%
vs Strongest Frontier Model
+13.9 pts
vs Weight-only Fine-tune
2.3×
Read case study
Cresta FECT: Months → 24 Hours, ~$100k → ~$200
How Lucidic achieved 87.5% accuracy on the FECT contact-center benchmark using automated prompt optimization—beating manual 9-month efforts and o1 results with a budget model.
Time Saved
~3-6 months
Cost Reduction
~$100k → ~$200
Accuracy Lift
+23.3%
Read case study
Anonymous: Enterprise Agent Breaks Through 75% Plateau
After 2-3 months of manual optimization stalled at 75%, Lucidic's agentic training algorithm systematically optimized all 116 parameters, breaking through the plateau to reach 92% accuracy.
Accuracy Improvement
75% → 92%
Parameters Optimized
116
Accuracy Lift
+22%
Read case study
Coming Soon
Ongoing Case Study with a Top Agent Builder (Stay Tuned)
Currently partnering with a top agent builder to optimize their AI agent workflows through automated experimentation and continuous improvement cycles. Stay tuned for results.
Status
In Progress
Focus Area
Agent Optimization
