Safeheld - 2026 Pricing, Features, Reviews & Alternatives

Safeheld is cloud-based reconciliation and regulatory financial control software built for regulated firms that hold client money, including Payment Institutions, E-money Institutions, cryptoasset firms, stablecoin issuers, and multinational groups operating across the UK, EU, US, Canada, Australia, Singapore, and Hong Kong. The platform connects bank, ledger, processor, and digital-asset data into a unified safeguarding data model, reconciles customer liabilities against protected funds, surfaces shortfalls and breaks for investigation, and produces regulatory reporting from the same verified reconciled data. An implementation team handles connection, mapping, and configuration alongside the customer's team.

Core capabilities span the full safeguarding control cycle. Data ingestion supports APIs, bank statements, and structured financial data. The safeguarding calculation engine compares customer liabilities or reserve requirements against the funds and assets required to cover them. Reconciliation handles simple and grouped transaction relationships, routing only genuine exceptions into manual review rather than pushing every complex case there by default. Every reconciliation run is reproducible from the same source data and configuration, and versioned data mappings preserve historical evidence rather than overwriting prior records. Shortfalls and material breaks are routed through a structured exception and breach workflow covering investigation, escalation, and evidence capture. Regulatory reports are generated directly from reconciled data, removing divergence risk between reported figures and underlying reconciliations.

Safeheld supports multiple regulated entities within a single control layer, applying jurisdiction-specific logic for safeguarding methodology, fund classification, reporting, governance, and retention per entity. Covered regulatory frameworks include FCA PS25/12 and CASS 15, EU PSD2, EMD2, and MiCA, Canada RPAA, and equivalent local safeguarding rules across supported jurisdictions. AI assists exception investigation, root-cause analysis, format recognition, and day-to-day operator support, including suggesting likely client matches for unallocated receipts based on payer details and references for human confirmation. Safeguarding and reconciliation controls remain deterministic and auditable; AI supports operators rather than replacing control logic. Every reconciliation retains a verifiable, date-addressable evidence trail ready for regulators and auditors.