Enterprise Search-as-a-Service
Platform Acceleration
How a leading SaaS provider reduced API development effort by 80% and accelerated time-to-market from 6 months to 4 weeks.
Reduction in API Development Effort
Time-to-Market Acceleration
Backend Maintenance Overhead Reduced
Backend Bottlenecks Stalling Growth
A fast-growing enterprise search provider faced mounting pressure to onboard new customers quickly. Their legacy backend architecture couldn't keep pace with demand.
Manual API Creation Slowed Rollout
Each new client required custom backend development, slowing onboarding to months instead of weeks.
Frequent Schema Changes
Customer-specific schema adjustments required full backend redeployments, creating bottlenecks.
Disconnected Data Sources
Fragmented Solr collections and REST repositories produced inconsistent search results.
Automated API Generation at Scale
FEBE Cloud eliminated manual backend work by automating the entire API lifecycle — from schema design to deployment.
Unified Backend Architecture
Integrated Solr and REST repositories into a single, governed backend layer with consistent schemas.
Auto-Generated APIs
REST and GraphQL endpoints generated automatically in minutes, not weeks — eliminating manual coding.
Reduced Backend Dependency
Product teams could configure and deploy new search capabilities without waiting for backend resources.
Technology Stack
Transformative Results
Before FEBE
Manual backend coding for each client
Average 6-month deployment cycles
High backend team dependency
Frequent schema-related bugs
After FEBE
Automated API generation in minutes
Client onboarding reduced to 4 weeks
Product teams self-serve capabilities
Zero-downtime schema updates
FEBE transformed our entire business model. What used to take our team six months now happens in weeks. We've onboarded more clients in the last quarter than in the previous year.
Jordan Martinez
VP Engineering · SearchTech Solutions
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