How specialist AI compares to the alternatives.
How Brainiall compares across the dimensions that matter.
| Feature | RecommendedBrainiall | 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 | 5+ sectors | Generic | Single domain | Single domain |
| Ongoing model updates | Periodic | Provider-dependent | Manual | Vendor-dependent |
| Integration effort | API + SDK | API | Custom | Heavy |
Three fundamental advantages that make Brainiall the right choice.
Fine-tuned models deliver 80-95% of frontier quality at 1/50th the 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. Speech AI live with sub-200ms 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.