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// the infrastructure behind great banking

The magic is

in the machine.

A payment platform that takes the load off your core and gets money moving right, every time.

get-nerdy-banner
get-nerdy-banner-mobile
500+
TPS design target
ACID • no floating point
1000+
TPS with shadow-pool
same core data model
0
Divergent code paths
OpenShift • EKS • AKS
2x
Dedup
layers
in-memory + durable
Problems we like solving

The questions that
earned our attention.

Each one has bitten someone in production.
Technology appears once the problem has earned it.

core offloading

How much payment complexity can you take off a core banking or treasury system before it stops needing to be a payments engine at all?

dual-clock design

How do you build one ledger equally at home settling a payment in under a second and running tonight’s batched settlement?

shadow-pool pattern

How do you keep a ledger correct when thousands of transactions want the same account at once, without giving up ACID guarantees?

// How we think about engineering

One theme per cluster.

A way of thinking about the problems, five clusters, each with a distinct character.

what we build

A ledger core built for any rail. Instant, batched, and stored-value on one ledger. ACID guarantees. No floating-point arithmetic near a balance. Template-driven behaviour so adapters diverge, the core doesn’t.

getting it right

One confident answer when six systems disagree. Convergent state machines. Two-layer deduplication. Shadow-pool redesign that lifts hot-account throughput from ~200 to 1000+ TPS. Reconciliation as part of the platform’s rhythm, not an ops chore.

trust

Cryptography as production infrastructure. ECDSA P-256 for signed-QR and intent flows. Envelope encryption with version-embedded keys, rotation mid-transaction doesn’t break verifiability. Audit logs encrypted before they reach storage.

many markets

One core, many rulebooks.
Message formats, signing rules, and settlement windows change per market. The invariant part of the protocol, ledger, state machine, dedup — never does. New market means a new adapter, not a new codebase.

running it well

One signal, any backend
Structured JSON to stdout. Node-level OpenTelemetry DaemonSets. The telemetry destination is a config choice, not a rewrite. Same containers on OpenShift, EKS, and AKS, no divergent code paths.

skills landscape
GO • RUST • gRPC

Banking-grade
Scrutiny.

Go for service architecture and protobuf/gRPC APIs. Rust for performance-critical routing. Product engineering that holds up under banking-grade scrutiny.

Banking-grade Scrutiny
upi • imps • Rtgs

Batched and
Real-time.

Multi-rail adapters across real-time and batched flows. Acceptance and issuance. QR and EMVCo signing. Inter-institution messaging with scheme-level semantics.

batched-and-real-time
dedup • partitioning

Shadow-pool

ledger design.

Partitioned transaction storage. Stampede-safe cache invalidation. Request-level deduplication. Financial and non-financial stream separation.

Shadow-pool
ledger design
multi-cloud • 0tel

Platform-
Independent.

Platform-independent deployment across OpenShift, EKS, and AKS from a single build. Per-customer CD pipelines. Service-mesh failure modes. OpenTelemetry-based observability.

Platform-Independent
ledger design • rail mechanics

Precision meets
Design.

Ledger design and financial precision. Real-time and batched payment mechanics. Velocity and limits design. Wallet and stored-value semantics. Reconciliation.

Precision-meets-Design
// Who thrives here

Not a culture deck.

A description of the thinking the work actually requires. People who’d rather design one ledger primitive than three narrower systems, and who ask what a core system shouldn’t have to do.

Tell us where the pipeline breaks.

We'll tell you what it takes.

We’ve been inside the systems you’re running. We know what they cost — and what it takes to move past them, incrementally, without the big-bang risk.