Where we work
Four industries. Deep domain knowledge.
We focus on sectors where domain expertise directly determines software quality. Each has distinct data structures, compliance requirements, and business logic that generic tools cannot handle.
Financial software that handles real money and real risk.
Processed today
2,841
+12%
Approval rate
73.2%
+2.1%
Avg. score
694
-4
Score distribution · last 10 batches
Problems we solve
- highManual credit and risk assessment processes that do not scale
- mediumFragmented data from multiple financial APIs and data providers
- highRegulatory reporting that requires consistent, auditable outputs
- highFraud detection that relies on static rule sets instead of adaptive models
- mediumSlow onboarding and KYC flows that affect conversion
Platforms we build
- Credit scoring and risk assessment engines
- KYC and AML automation platforms
- Financial data aggregation and analytics dashboards
- Fraud detection and transaction monitoring systems
- Regulatory reporting and compliance tools
- Open banking API integrations and middleware
94%
Risk reduction
-78%
Processing time
100%
Audit pass rate
GDPR Compliant
By default, by design
“Fintech systems handle financial data under strict regulatory frameworks. We build with compliance, auditability, and data integrity as baseline requirements — not afterthoughts. Every output that informs a financial decision must be traceable.”
Example project
Credit Scoring Engine
Real-time risk assessment for a Nordic lender
Intelligent tools for teams working at scale.
47%
Faster reporting
3x
Content output
91%
Accuracy
Problems we solve
- highLarge ad spend with poor visibility into what is actually driving results
- mediumManual reporting across too many channels and platforms
- mediumContent production that cannot keep pace with campaign requirements
- highCustomer segmentation built on basic demographic data
- highAttribution models that do not reflect actual customer journeys
Platforms we build
- Audience intelligence and segmentation platforms
- Multi-channel analytics and attribution dashboards
- Content operations platforms with AI-assisted production
- Campaign performance monitoring and anomaly detection
- Ad tech integrations and audience sync pipelines
- Programmatic campaign management tooling
“Marketing teams deal with high-volume, fast-moving data across a wide range of systems. We build platforms that connect those systems and surface actionable insight — without requiring a data science team to operate them.”
Example project
Attribution Dashboard
Multi-touch attribution for a European retailer
Detection, monitoring, and tooling that keeps pace with threats.
Real-time threat detection
8 active monitoring nodes
Detection capabilities
- highSecurity event noise drowning out genuine threats
- highInability to correlate events across multiple tools
- highSlow incident response due to manual investigation
- mediumLack of behavioral analytics for insider threat detection
- mediumCompliance reporting consuming analyst hours
Platform types
- Security event correlation and anomaly detection systems
- Threat intelligence aggregation and enrichment platforms
- Insider threat monitoring and behavioral analytics
- Compliance automation and audit trail systems
- Security orchestration and response platforms
- Vulnerability management and prioritization tools
-82%
False positive reduction
<3s
Detection speed
-65%
Mean response time
“Security operations cannot afford false positives or missed signals. We build detection systems that are precise, explainable, and operate at the speed your team needs to respond effectively.”
Example project
Threat Detection Platform
Real-time anomaly detection for a financial institution
Health technology built around patient data requirements.
1,247
Active patients
99.7%
Data quality
48.2K
Records processed
99.99%
Uptime
Daily records · last 7 days
99.7%
Data accuracy
GDPR+
Compliance
-60%
Processing time
Patient data challenges
- highClinical data trapped in siloed systems without interoperability
- highPatient data platforms failing GDPR and clinical compliance
- mediumDiagnostic workflows lacking AI-assisted decision support
- mediumAdministrative burden reducing clinical time with patients
- highData quality issues compromising analytical insights
Solutions we build
- Clinical decision support systems
- Patient data platforms with GDPR compliance
- Medical imaging AI integration platforms
- Electronic health record enhancement tools
- Population health analytics dashboards
- Clinical trial data management systems
“Healthcare software demands the highest standards of data protection, accuracy, and regulatory compliance. We build patient-centric platforms where clinical utility and data security are inseparable design principles.”
Example project
Patient Data Platform
GDPR-compliant clinical data system for a Nordic hospital