HBHardbridge
Case Studies

Proof of Impact

Real projects. Real results. Names anonymized to protect client confidentiality.

AI / Fintech·Top-50 European Bank

Real-Time Fraud Detection Engine

Challenge

Legacy rule-based system was flagging 40% false positives, costing millions in manual reviews and lost customers.

Solution

Built an ML ensemble (gradient boosting + neural network) processing 50K+ transactions per second with sub-100ms decisions. Integrated with existing core banking via event-driven architecture.

Results

73% reduction in false positives
50K+ transactions/sec throughput
< 100ms decision latency
$12M annual savings in manual review costs

Tech Stack

PythonPyTorchKafkaKubernetesPostgreSQL
Mobile·Series B Fintech Startup

Neobank Super-App

Challenge

Needed a full-featured mobile banking app in 6 months to meet regulatory deadlines for their banking license.

Solution

Cross-platform Flutter app with native modules for biometrics and secure enclave encryption. Offline-first architecture with background sync. Built custom design system for brand consistency.

Results

2M+ users in first year
4.8 App Store rating
99.97% uptime
Launched on-time for regulatory deadline

Tech Stack

FlutterDartGoPostgreSQLAWS
Cloud / AI·Fortune 500 Professional Services Firm

Enterprise Knowledge Platform

Challenge

10M+ documents across 200+ offices, no way to search or surface institutional knowledge. Consultants were reinventing the wheel on every engagement.

Solution

RAG-based platform with semantic search, AI summarization, and role-based access control. Vector embeddings for 10M+ documents with incremental indexing.

Results

40% productivity improvement
< 2s average query time
85% adoption in first quarter
Reduced onboarding time by 60%

Tech Stack

PythonLangChainOpenAIPineconeReactGCP
Data / AI·Industrial Manufacturing Conglomerate

Predictive Maintenance Platform

Challenge

Unplanned equipment downtime costing $50M+ annually across 30 manufacturing plants.

Solution

IoT sensor data pipeline processing 1M+ events/sec. Time-series anomaly detection models predicting failures 72 hours in advance.

Results

67% reduction in unplanned downtime
1M+ sensor events/sec processed
72-hour prediction window
$34M annual savings

Tech Stack

PythonTensorFlowApache FlinkTimescaleDBAWS
Security / Cloud·Healthcare SaaS Platform

Zero-Trust Security Overhaul

Challenge

Needed SOC2 Type II and HIPAA compliance within 6 months to close enterprise healthcare deals.

Solution

Full zero-trust architecture redesign. Implemented mTLS service mesh, encrypted data at rest and in transit, comprehensive audit logging, and automated compliance monitoring.

Results

SOC2 Type II certified in 5 months
HIPAA compliant
Zero security incidents post-launch
Unlocked $15M enterprise pipeline

Tech Stack

TerraformIstioVaultAWSGo

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