A four-to-eight week paid pilot for institutional capital — pension funds, sovereign wealth, asset managers, banks, exchanges — delivering real-time geopolitical, sanctions, sovereign-risk, and supply-chain signals into the workflows your desks already use.
Sanctions regimes update in days. Supply-chain shocks reprice commodities in hours. Sovereign and country risk reset on a Telegram post the desk's existing tools never see. Static expert reports age in 24 hours, automated feeds drown analysts in noise, and risk officers, compliance leads, and portfolio managers are stitching the picture together by hand.
Sanctions exposures show up in post-trade reviews, not pre-trade screens. By the time the relationship is mapped, the position has already moved.
Quarterly geopolitical bulletins miss the inflection points. Trading floors learn about elections, coups, and conflict spillover from headlines, not from intelligence.
Critical-minerals, energy, shipping, and rare-earth exposure inside portfolios is rarely traced to the political conditions of the source countries until a disruption hits.
Each use case below is delivered against your live portfolio, watchlist, or operational data during the pilot. Outputs are structured for direct ingestion into your existing risk, compliance, and trading systems.
Continuous cross-check of portfolio holdings, counterparties, and beneficial-ownership chains against OFAC, UN, EU, UK, and Canadian sanctions registries, including shadow-fleet and front-company structures.
Early-detection signals on FX, commodities, EM equities, and sovereign credit, surfaced from multilingual open-source signal cross-referenced against analogous theatres globally.
Live country-risk metrics across political stability, sanctions exposure, institutional integrity, and grey-zone activity — far more responsive than quarterly bulletins.
Map portfolio holdings to upstream critical-minerals (REE, lithium, cobalt, nickel, uranium), shipping lanes, and political exposure of producing countries — including foreign-capital-capture patterns.
Augment existing AML/KYC pipelines with beneficial-ownership analysis, dark-vessel tracking, narrative-amplification monitoring, and cross-jurisdictional actor structure mapping.
Maritime risk intelligence on dark-AIS, course anomalies, port disruption, and undersea-infrastructure events — directly relevant to trade finance, insurance underwriting, and shipping exposure.
The pilot is designed to drop directly into the analytical workflows of five core institutional roles. Sponsors typically come from one of these seats and pull in the others as use cases prove out.
Early geopolitical signals into EM, commodities, FX, and sovereign credit positions — with cross-theatre context that gives an information edge before consensus prices it in.
Portfolio-wide geopolitical exposure mapping with confidence scoring — feeding directly into VaR, stress-test, and scenario-analysis frameworks.
Continuous sanctions-exposure screening with full beneficial-ownership tracing and audit-grade provenance on every flag, sized for OSFI, OFAC, FCA, and ESMA scrutiny.
Counterparty risk and shipping-route exposure intelligence for letter-of-credit, insurance, and cross-border treasury operations.
Supply-chain exposure to Indigenous-territory, conflict-zone, and authoritarian-jurisdiction risk — with the depth and provenance ESG mandates increasingly require.
Institutional-grade geopolitical intelligence with sovereign-deployment posture aligned to fiduciary, regulatory, and national-security obligations of large institutional capital.
GeoSift is built to fit alongside the tools institutional finance already runs on — not to replace them. Outputs flow into existing risk, compliance, and trading systems through structured APIs and standard delivery formats.
Deployment architecture, audit trail, and data residency are aligned to the constraints institutional finance actually operates under.
A structured engagement with clear deliverables at each stage and a paid commercial framework from week one.
Use-case definition with your desk lead, portfolio or watchlist data onboarding, sovereign environment provisioning, NDA and pilot agreement.
Models tuned to your specific instruments, jurisdictions, and risk frameworks; cross-theatre analogue mapping; integration into existing workflow.
Daily intelligence stream into the desk, weekly briefing-grade summaries, analyst-in-the-loop testing against your existing alpha and risk processes.
Pilot outcomes measured against pre-agreed success metrics (alpha, exposure reduction, time-to-flag), transition to recurring subscription on signature.
Tell us about your firm, your desk, and the use case you'd like to validate. We typically respond within two business days with next steps and scoping availability.
Advisory firms produce vetted depth, but on a slow clock — reports age within hours of delivery. GeoSift collapses the trade-off: pre-vetted HUMINT for ground truth, fused with continuous open-source signal in real time, with confidence and time-to-impact tagged on every event. Decision-grade *and* on-the-clock.
Pure-automation OSINT feeds deliver volume but no ground truth. GeoSift's pre-vetted HUMINT layer and cross-theatre analytical comparison sit alongside those feeds and convert noise into prioritised, attributable signals. Most customers run GeoSift as the decision layer above their existing OSINT feeds.
Yes. The platform exposes a REST API, webhook delivery, and structured export formats (JSON, CSV, PDF) for direct ingestion into risk, compliance, and reporting systems. Connector work for leading financial-market trading terminals, SIEM, and major risk-platform vendors is on the productionisation roadmap.
Deployment runs on Canadian-resident OVH Cloud, structurally outside US CLOUD Act exposure. Model lineage, data residency, and key custody are aligned to customer jurisdiction. EU and additional sovereign-cloud footprints on the roadmap; on-premises and air-gapped options for the most sensitive workloads.
The pilot is paid; pricing is confirmed during scoping based on use case scope and seat count. After the pilot, customers move to the three-tier subscription model — pilot, $2,500/month, $25,000/year — with annual reflecting roughly a 17% discount over monthly billing.
The platform is built around publicly-available open-source signals, vetted expert HUMINT contributions, and customer-supplied watchlist or portfolio data. We do not ingest MNPI or material non-public information from the customer; appropriate information-barrier protocols are part of scoping for any deployment that touches sensitive internal data.