Controls built for paper. Audits arrive in real time.
We build the compliance automation and controls-intelligence platforms that regulated institutions actually run on — evidence on demand, judgment kept with humans.
Controls were designed for paper, audits arrive in real time
Most regulated workflows still depend on humans copying data between systems, attesting to checks they cannot fully see, and producing audit evidence retroactively. The cost is not the regulation. It is the process built around it.
Manual first-line controls
First-line checks are still performed by analysts working through queues. Throughput is capped by staffing, not by risk.
Evidence assembled retroactively
Audit packs are built after the fact, weeks before the auditor arrives, from emails and screenshots.
Exceptions that hide in queues
The system handles 80 percent of cases. The 20 percent that need judgment sit in a queue nobody owns.
Models without governance
Risk and decision models are deployed without lineage, version control, or model risk review. The regulator notices.
Controls that run themselves, evidence built as you go
We deliver compliance automation engines and controls intelligence platforms that turn first-line work into machine-executed workflows. Auditors get evidence on demand. Analysts get judgment work.
Automated first-line controls
Repeatable checks run continuously, not on a queue. Throughput scales without headcount.
Evidence built as work happens
Every action carries provenance. Audit packs are queryable surfaces, not weekend assembly jobs.
Exception routing with context
The 20 percent that need judgment reach a named reviewer with full context. Queues do not hide work.
Model risk built in
Every model carries lineage, version history, and review status. Model risk management is a property, not a project.
Built for the controls behind the numbers
First-line checks, evidence, and model governance run as machine-executed workflows — auditors get evidence on demand, analysts get judgment work.
Build for regulated institutions with the modular components
A central control surface, surrounded by the capabilities and primitives that make it run. Explore each component.
What we build with regulated institutions
Automate first-line controls.
Repeatable checks run continuously. Throughput scales without staffing growth.
Build evidence as work happens.
Every action carries provenance. Audit packs are queryable surfaces, not assembly jobs.
Route exceptions with context.
Cases needing judgment reach a named reviewer with everything they need to decide quickly.
Govern models like systems.
Lineage, version, review status, drift detection. Model risk management as a property.
Detect fraud and AML at the workflow.
Detection layered into operational flow, not as a separate review queue.
Reconcile the ledger surface.
Sub-ledger reconciliation moved from monthly close to continuous.
Building the future of regulated operations
First-line work turned into machine-executed workflows across seven regulatory regimes, with evidence built as work happens.
Read the engagementAudit packs moved from weekend assembly jobs to a queryable surface. Cycle time reduced by approximately half.
Read the engagementLineage, version, and review status across twenty-four production models. Model risk management as a property, not a project.
Read the engagementDive deeper into finance on Grids and Guides
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