Industries
Financial services systems built for scrutiny.
Onboarding and KYC automation, post-trade and settlement systems, and compliance workflows — for banks, NBFCs, insurers and fintechs where the architecture has to answer to a regulator as well as a customer.
At a glance
The pressures
What makes financial services engineering hard.
These are the structural constraints we design around. They are properties of the sector, not of any one organisation.
Regulatory reporting load
Reporting obligations arrive on fixed cycles and in prescribed formats. When the numbers are assembled by hand from several systems, every submission is a reconciliation exercise and every correction is a manual re-run.
Legacy core systems
Core banking and policy administration platforms are long-lived by design. The pressure is not to replace them, but to build around them without destabilising the systems of record underneath.
Onboarding friction
Customer and counterparty onboarding sits between commercial urgency and regulatory obligation. Verification steps, document collection and screening all have to happen, and each hand-off is where applications stall.
Settlement and operational risk
Post-trade processing is unforgiving: a break found late is more expensive than one found early. The operational question is how quickly an exception surfaces and how clearly it is routed to whoever can resolve it.
What we build
Our services, applied to financial services.
The same engineering practice we bring to any enterprise, shaped by the controls this sector operates under.
Core platform and integration engineering
Service layers, APIs and event pipelines that let modern channels talk to long-lived core systems without rewriting them. The pattern is containment: stable interfaces in front, unchanged systems of record behind.
Resilient cloud and platform operations
Infrastructure defined as code, with environments that can be rebuilt rather than repaired, and delivery pipelines that make each change reviewable before it reaches a regulated workload.
Regulatory data and reporting platforms
Data models, ingestion and lineage designed so a reported figure can be traced back to its source records — and so a submission can be reproduced rather than reconstructed.
Applied AI inside controlled workflows
Document extraction, screening triage and case summarisation placed where a human still decides. We treat any model touching credit, risk or eligibility as a governed asset, not a feature toggle.
Governance context
Standards your organisation is held to.
We do not hold these certifications on your behalf. We design and document controls so that your organisation can evidence them against the regimes that apply to it.
Regulatory reporting obligations
Supervisory regimes such as those administered by the RBI and SEBI set out what must be reported, in what form and on what cycle. We design data platforms so those submissions can be produced from traceable sources and reproduced on request.
PCI DSS for cardholder data
Where card data is in scope, PCI DSS defines the control expectations for storage, transmission and access. We architect segmentation, key handling and logging so your organisation can evidence those controls — the certification itself remains yours to hold.
Audit trail and data residency
Regulated workloads need a defensible record of access and change, and a clear answer on where data physically sits. Both are architectural decisions, made at design time rather than retrofitted before an inspection.
Model governance for AI in decisioning
Any model influencing credit, pricing or risk outcomes needs documented purpose, data provenance, validation, monitoring and a route to challenge a decision. We build those controls alongside the model, not after it.