Quantitative & market risk pipelines (NeuralEdge)
Ingest market signals, portfolio exposures, and risk metrics into deterministic analytical workflows where every recommendation carries traceable provenance.
Deploy air-gapped quantitative intelligence, private document processing, and dual-custody operational automation engineered for strict financial data residency and auditability.
Each workflow pairs local or self-hosted execution with explicit policy boundaries and auditable operator sign-off.
Ingest market signals, portfolio exposures, and risk metrics into deterministic analytical workflows where every recommendation carries traceable provenance.
Process sensitive financial filings and customer records on standard internal CPU servers without sending prompts or embeddings to third-party cloud providers.
Correlate high-severity transaction infrastructure alerts on Kubernetes and require two-person Microsoft Entra ID sign-off before executing rollbacks.
How data, models, policy gates, and human approvals interact inside your environment.
Market feeds, core-banking telemetry, and internal filings stay inside your on-prem / private AKS enclave.
NeuralEdge / SteadyState computes risk metrics or incident remediation diffs with explicit confidence scores.
Action is blocked until two authorized officers/SREs sign off via Microsoft Entra ID (Maker-Checker rule).
Hash-chained execution receipt is committed for internal risk committees and regulatory examination.
Combine our commercial platforms and open runtime stack around your deployment constraints.
Inspect the deployment model, data-residency boundaries, and runtime architecture for your environment.
Explore Private & Local AI →See how governed autonomy, policy checks, and tamper-evident audit receipts apply to Financial Services.
Explore SteadyState Governed SRE →Tell us about your infrastructure, compliance boundaries, and operational bottlenecks. We will scope a measurable pilot with your engineering team.