Wie sich spezialisierte KI gegen Alternativen schlägt.
How Brainiall compares across the dimensions that matter.
| Feature | EmpfohlenBrainiall | General-Purpose APIs | In-House ML Team | Legacy Software |
|---|---|---|---|---|
| Domain accuracy | 80–95% | 60–75% | Varies | N/A |
| Time to deploy | 2–4 weeks | Hours (needs tuning) | 6–18 months | Months |
| Cost per 1M inferences | $50–200 | $2,000–30,000 | High (team cost) | License fees |
| Data sovereignty | Full (on-prem option) | Cloud only | Full | On-prem |
| Data security | AES-256, on-prem option | DIY | DIY | Partial |
| Multi-sector expertise | 4 sectors | Generic | Single domain | Single domain |
| Ongoing model updates | Periodic | Provider-dependent | Manual | Vendor-dependent |
| Integration effort | API + SDK | API | Custom | Heavy |
* Die Zahlen sind interne Engineering-Schätzungen auf Basis von Brainiall-Benchmark-Läufen und einer Überprüfung veröffentlichter Preise von Allzweck-APIs (Juli 2026). Tatsächliche Ergebnisse variieren je nach Anwendungsfall.
Three fundamental advantages that make Brainiall the right choice.
Fine-tuned models deliver 80-95% of frontier quality at typically 50-80% lower cost*. Domain-specific training yields higher accuracy where it matters: your actual use case, not benchmarks.
Not just models — complete vertical applications. AI Autopilot delivered a verified +6% throughput increase in a 25-day gold mining pilot (Brasil Mineral #441, Jul 2024). Speech AI live with phoneme-level pronunciation scoring across 40+ languages.
AES-256 encryption at rest and in transit. On-premise deployment option for full data control. Customer data processed in LGPD-compliant regions (AWS São Paulo) by default. Audit trails and explainability included by default.
We will run a side-by-side comparison on your actual data. No commitment — just results you can measure.