- Mentorcloud
How a global mentorship platform scaled personalization with AI on AWS
The problem statement
-
Manual
profiling bottleneck
Onboarding relied heavily on human review of resumes, LinkedIn profiles, and program details. This capped scale at around 250 users per month.
-
Low match
accuracy
Nearly 60% of mentees received recommendations misaligned with their goals, leading to disengagement and costly failed matches.
-
Context gaps
for mentors
Mentors spent up to an hour gathering background information before each session due to fragmented data spread across documents and external profiles.
- How Lyzr solved it ?
- Mentorcloud deployed a modular, multi-agent mentorship engine using Lyzr on AWS - built for automation, scale, and enterprise-grade security.
- Agents processed resumes and LinkedIn data into structured summaries in minutes.
- Program documents were distilled into goals, themes, and evaluation criteria.
- A context-aware agent enabled personalized mentor–mentee conversations at scale.
- The platform ran across three AWS Availability Zones with SOC 2, GDPR, and ISO 27001 compliance.
- ECS, Lambda, API Gateway, S3, and CloudWatch supported a fully elastic, monitored system.
The outcome
- Higher match accuracy
Match alignment increased to 92%, cutting mismatches by two-thirds and improving program engagement.
- Large-scale onboarding
Automated profiling expanded onboarding capacity from 250 to 1,400 users per month with only two FTEs.
- Faster program launches
New enterprise programs were deployed in under three weeks, instead of the previous 2–3 months.
The outcome
Behind the scenes: How Lyzr builds enterprise AI on AWS
How Lyzr handled security for a leading AI & automation research firm
- Complaince
Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.
- Data Residency
The data resides within the customer's own cloud, ensuring100% ownership and adherence to data residency requirements.
- Reflection
Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.
