Production-grade AI inference for companies that have moved beyond experimentation — without forcing you into an enterprise contract.
| GROWTH | SCALE | |
|---|---|---|
| Monthly Platform Fee | $50 ~ KES 6,500 | $138 ~ KES 18,000 |
| Uptime SLA | 99.9% | 99.95% |
| Reserved Throughput | 500 RPM | 2,000 RPM |
| Support | 48h response | 24h + Direct Slack |
| Usage Rate | ~$0.70 / 1M tokens | ~$0.55 / 1M tokens |
| Contract | None (Month-to-month) | None (Month-to-month) |
Your AI product may have started with, "Let's just use an API." That works perfectly when you're experimenting. It becomes vastly different when customers depend on your product.
Then you start caring about availability, throughput, rate limits, predictable infrastructure, and production incident response times. That's exactly what Growth and Scale are built for.
Choose Growth if:
Choose Scale if:
The more tokens you consume in production, the more Scale starts making sense due to reduced usage rates. Drag the slider to estimate your total monthly cost based on token volume.
Growth
$50 platform fee
~$0.70 / 1M tokens
Scale
$138 platform fee
~$0.55 / 1M tokens
| Feature | Self-Serve | Growth | Scale |
|---|---|---|---|
| Best for | Experimentation | Growing products | Production-critical |
| Platform fee | None | $50 / mo | $138 / mo |
| Usage rate | Starting at $1 | Metered (~$0.70/1M) | Metered (~$0.55/1M) |
| SLA | — | 99.9% | 99.95% |
| Reserved RPM | Shared pool | 500 | 2,000 |
| Support | Community | 48h response | 24h + Slack |
| Contract | None | None | None |
Still experimenting? Stay self-serve.
Building a real product? Choose Growth.
AI is mission-critical? Choose Scale.
You could absolutely build this infrastructure yourself. You could spend valuable engineering time maintaining:
Or, let Fikra handle the inference layer.
Then your engineers can actually build your product, instead of building another infrastructure company inside yours.