Real-time pay benchmarking, pay-equity analysis, and compensation decisioning — built for 54 fragmented labor markets, not one global spreadsheet.
54 countries, 54 currencies, 54 sets of tax and labor law. Almost no compensation data infrastructure exists for any of them.
Payscale, Mercer, and Radford are enterprise-priced tools built on US and EU salary data — they barely cover African markets.
Overpay and you burn runway. Underpay and you fuel the 20–30% annual attrition common across African employers.
AfCFTA is pushing companies to hire across currencies and cost-of-living lines for the first time — with nothing to compare against.
Scyntra turns messy, multilingual African wage data into pay decisions you can defend.
Normalizes noisy job postings, salary surveys, and payroll signals — in English, French, and Portuguese — into structured, comparable pay bands per role, market, and seniority.
Flags pay-equity risk against local labor law and market data, then drafts a plain-language remediation plan — before a regulator or a departing employee finds it first.
Ask it directly: “What should I pay a mid-level backend engineer in Nairobi vs. Lagos?” — and get cited data with confidence ranges, not a guess.
The hard part is normalizing messy, multilingual African wage data at a cost that fits $5–50 ARPU economics — a genuine fit for Gemini's multilingual strength.
High-volume ingestion of job postings and payroll signals across languages and currencies.
Long-context reasoning over a company's pay structure against local labor law.
Conversational, cited, cross-market pay guidance for HR teams and founders.
Fair pay, lower attrition, and cross-border hiring under AfCFTA all depend on employers actually knowing what to pay.