Financial Services. Data and risk, modernized.
Banking, insurance, wealth, and fintech. We modernize data platforms, ship production risk and fraud systems, and run the operations with the compliance evidence every auditor asks for.
What we build and run.
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Risk and fraud analytics
Real-time fraud scoring, credit risk models, and the evaluation harnesses that let you tune thresholds without guesswork. Production deployments, not notebooks.
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Core platform integrations
Wiring between core banking, policy admin, and the downstream CRM, data, and customer experience layers. Idempotent, observable, tested.
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Regulatory reporting pipelines
CCAR, FFIEC, NAIC, Solvency II. Pipelines that produce the same number twice and trace every line back to the source.
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Customer data platforms
Unified customer profile across accounts, policies, advisors, and digital channels. Privacy and consent built in, not bolted on.
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Managed operations with audit evidence
Cloud ops, data platform ops, and SecOps with SOC 2, PCI, and model risk evidence collected on schedule.
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AI for documents and calls
Policy and contract understanding, call summarization for advisors and claims, agent assist. Evaluated against accuracy gates you would defend to an auditor.
What gets shipped most.
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Faster claims cycle
Document intake automated, dispatch rules tuned, touchless claims lifted past the targets set at kickoff.
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Cleaner regulatory books
Reporting pipelines with lineage and test coverage. Month-end close without the Excel rescue.
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Lower fraud losses without customer friction
Risk models retrained on fresh signals. Threshold tuning tracked. False positives trended down quarter over quarter.
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Advisor and agent productivity
Unified profiles and AI assistants that summarize calls, surface next-best actions, and write the follow-up notes.
Stack we see most.
- Snowflake
- Databricks
- Microsoft Fabric
- Salesforce Financial Services Cloud
- MuleSoft
- Guidewire
- Duck Creek
- Temenos
- Finastra
- SAS Viya
- Databricks ML
- OpenAI
- Azure OpenAI
- Kafka
- Apache Flink
- Splunk
- Wiz
- Vanta
Questions we get.
- Do you work with our auditors?
- Yes. We ship control evidence continuously and work directly with your external auditor during fieldwork. SOC 2, PCI, and model risk attestations are the common scope.
- Can you support CCAR or DFAST timelines?
- Yes. We have run the data lineage and reporting pipelines that feed those submissions. Calendar work is a serious part of the engagement.
- How do you handle model risk management?
- Model inventory, documentation, pre-deployment validation, and periodic review. The audit trail is part of the platform, not a separate binder.
- What about the cloud approval from our risk team?
- Common. We work inside the guardrails your risk team already approved. If no cloud is approved yet, we help with the approval process and cloud design.
- Do you place fractional risk or data leaders?
- Yes. Fractional Head of Data and fractional risk leads are common placements. See /staffing/fractional-leadership/.