Benchmark Projections

Case Studies: Real Results.

Data-driven projections based on active benchmarks showing the financial and technical impact of migrating enterprise workloads to Fikra API.

Fintech Company Projection

Workload: 5M tokens / month

B

Before Fikra API

OpenAI Costs

$75,000/year

Customer Support

12 FTEs

Average Latency

5.0 seconds per response

A

After Fikra API

Fikra Costs

$10,000/year

Customer Support

5 FTEs

Average Latency

0.8 seconds per response

Total Projected Savings

$121,000 saved per year
API Costs Reduced (87%) +$65,000
Staff Efficiency (7 FTEs) +$56,000
THE EXECUTION

How We Achieved This

1

Free trial until launch

Zero financial risk. No payment was required during the testing and staging phases to validate the infrastructure.

2

2-week integration audit

Our engineers built the integration map alongside the client's team. A complimentary architectural service included for enterprise.

3

Live in 4 weeks

Because Fikra is strictly OpenAI-compatible, the entire codebase migration was seamless, avoiding heavy refactoring delays.

99.95% uptime maintained

Maintained rock-solid stable production on the Scale tier for over 90 consecutive days post-launch with direct engineering support.

PRODUCTION TIERS

Ready to move beyond shared infrastructure?

Growth
$50 / month

For growing AI products with real users. Guaranteed SLAs.

Start Growth →
Scale
$138 / month

For business-critical AI workloads. Maximum reserved capacity.

Start Scale →

Still prototyping? Start self-serve from $1.