L'IA spécialisée comparée aux alternatives.
How Brainiall compares across the dimensions that matter.
| Feature | RecommandéBrainiall | 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 |
* Les chiffres sont des estimations internes d'ingénierie, basées sur les benchmarks de Brainiall et sur une vérification des tarifs publiés des API généralistes (juil. 2026). Les résultats réels varient selon le cas d'usage.
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.