Financial Services
Real-time pricing and risk. One representation.
Serve volatility surfaces, risk factors, and pricing grids at GPU memory bandwidth. Exact fp64 precision with cryptographic attestation on every artifact.
The problem
Financial data stacks optimise for compliance, not performance.
Risk engines pull from multiple stores. One for real-time market data, one for historical tick data, one for reference data, one for model outputs. Each copy adds latency, increases audit surface, and multiplies reconciliation effort.
Multi-copy reconciliation
Pricing grids in Redis disagree with risk factors in the analytics store. Reconciliation takes hours daily.
Latency under regulation
Audit requirements force data through transformation layers that add 50–200ms per query.
Precision loss
fp32 approximate stores lose precision on complex derivatives. Exact fp64 is required for compliance.
Audit trail gaps
No cryptographic proof that the data served to the risk engine matches the signed source.
The solution
One platform. Exact precision. Signed artifacts.
100%
Recall at fp64
Exact numerical precision. No approximation, no rounding.
20.4 ms
p50 query latency
On 100M entries. Every query served from GPU VRAM.
11.6x
Compression
277 bytes per entry at full double precision.
ML-DSA-65
PQC attestation
Every artifact cryptographically signed with FIPS 204 post-quantum signatures.
Use cases
What financial teams use HX-SDP for.
Volatility surface serving
Store and query volatility surfaces with 1,244x compression. Real-time updates, exact precision.
Risk factor cache
Serve risk factors to pricing engines at sub-millisecond latency. One platform replaces Redis and the analytics DB.
Tick data search
Full-text and vector search across historical tick data. No Elasticsearch copy required.
Regulatory audit trail
ML-DSA-65 signed receipts on every data artifact. Cryptographic proof of data integrity.
Portfolio analytics
Query portfolio exposures, P&L attribution, and factor decomposition from a single GPU-resident platform.
Model validation
Reproduce model inputs with exact precision. Cryptographic receipt chain proves no data tampering.
Pricing
Finance-grade pricing.
Financial workloads typically require fp64 exact precision with full attestation.
Contact sales
Workload-scoped engagements
Financial workloads typically require fp64 exact precision with full attestation. Engagements are scoped to entry count, precision tier, and support requirements. Request access →
Talk to our financial infrastructure team.
Describe your data volumes, precision requirements, and compliance constraints.