AI
Enterprise AI · KPI-tied · Standards-ready
AI That Performs to Your Metrics. Built to Your Standards.
Production-grade AI for organisations that report to boards and live with regulators — engineered to the metrics that move the business and the standards your auditors will check.
✓
AI Act-ready · NIS2-aligned · GDPR-native · DORA-aware
What we do
AI services, end‑to‑end.
Strategy, build, and run — everything you need to put AI into production.
How we work
Pragmatic AI. Built for production.
A clear four-stage delivery model — anchored to KPIs you can see. Click any stage.
01
Discover
Understand the problem
02
Design
Lock the blueprint & KPIs
03
Build
Develop. Integrate. Govern.
04
Operate
Run it. Tune it. Expand it.
- Solution architecture
- Multi-model strategy
- Deployment-pattern selection
- Security & observability design
Outcome
A production-ready blueprint, signed off.
Accelerators
Purpose-built AI products.
Pre-engineered Gateway products — battle-tested, EU-deployable, ready as starting points for your program.
Case studies
Built for your sector.
Pick a use case to read the full case study — every one mapped to the KPIs it moves.
Document AI for KYC and onboarding
- STP Rate
- Doc Processing Time
- Error Rate
- Cost per Document
- Manual Effort Reduction
Read case study→
Fraud detection and AML monitoring
- Fraud Loss Rate
- False Positive Rate
- SAR Accuracy
- AML Investigation Efficiency
Read case study→
Claims triage and fraud detection
- Claims Processing Time
- Claims Ratio
- Fraud Detection Rate
- Fraud Loss Rate
- False Positive Rate
Read case study→
Relationship manager copilots
- CSAT
- Doc Processing Time
- STP Rate
Read case study→
Internal compliance assistants
- Doc Processing Time
- Error Rate
- Manual Effort Reduction
- STP Rate
Read case study→
Customer churn prediction and retention
- Customer Churn Rate
- Retention Rate
- Net Revenue Retention
- Customer Lifetime Value
Read case study→
AI-assisted underwriting
- STP Rate
- Doc Processing Time
- Loss Ratio
- Combined Ratio
Read case study→
Customer service AI
- CSAT
- First Contact Resolution
- Average Handle Time
- Cost per Contact
- Deflection Rate
Read case study→
Subsidy and product matching agents
- CSAT
- STP Rate
- Doc Processing Time
Read case study→
Predictive maintenance for production equipment
- OEE
- MTBF
- Unplanned Downtime Rate
- Maintenance Cost as % of Asset Value
- Asset Availability Rate
Read case study→
Computer vision for quality inspection
- First Pass Yield
- Defect Rate
- Scrap & Rework Rate
- Customer Return Rate
- Cost of Quality
Read case study→
Demand forecasting and production planning
- Forecast Accuracy
- Inventory Turnover
- Stockout Rate
- Days Sales of Inventory
- Order Fill Rate
Read case study→
Route optimization and fleet planning
- On-Time Delivery Rate
- Fuel Cost per km
- Fleet Utilization Rate
- Cost per Shipment
- Carbon Emissions per Delivery
Read case study→
Shipment ETA and supply chain visibility
- On-Time Delivery Rate
- Forecast Accuracy
- Fleet Utilization Rate
- Cost per Shipment
Read case study→
Supply chain risk and procurement intelligence
- Procurement Cost Savings
- Supplier Lead Time
- Contract Compliance Rate
- Inventory Turnover
- Carrying Cost of Inventory
Read case study→
Energy and resource optimization
- Energy Intensity
- Carbon Emissions (Scope 1 & 2)
- Capacity Factor
- Renewable Energy %
Read case study→
Field-service technician scheduling
- Staff Utilization Rate
- Appointment No-Show Rate
- Overtime Cost %
- Schedule Adherence
Read case study→
GenAI assistants for service and troubleshooting
- Time-to-Onboard
- Average Handle Time
- CSAT
- First Contact Resolution
Read case study→
AI document processing for invoices and AP/AR
- STP Rate
- Doc Processing Time
- Error Rate
- Cost per Document
- Manual Effort Reduction
Read case study→
AI expense processing automation
- STP Rate
- Doc Processing Time
- Error Rate
- Cost per Document
- Manual Effort Reduction
Read case study→
ERP workflow automation
- STP Rate
- Doc Processing Time
- Error Rate
- Cost per Document
- Manual Effort Reduction
Read case study→
HR and payroll AI assistants
- Time-to-Hire
- Employee Retention Rate
- HR Cost per Employee
- Manual Effort Reduction
Read case study→
AI CV screening and candidate ranking
- Time-to-Hire
- Employee Retention Rate
- Training ROI
- HR Cost per Employee
Read case study→
Internal knowledge copilots
- Doc Processing Time
- Manual Effort Reduction
- Deflection Rate
- CSAT
Read case study→
IT and HR service desk AI
- CSAT
- First Contact Resolution
- Average Handle Time
- Cost per Contact
- Deflection Rate
Read case study→
AI contract review and clause extraction
- Contract Cycle Time
- Contract Compliance Rate
- Procurement Cost Savings
- Doc Processing Time
Read case study→
Copilot-enabled employee productivity
- STP Rate
- Doc Processing Time
- Error Rate
- Manual Effort Reduction
Read case study→
Clinical documentation copilots
- Doc Processing Time
- Error Rate
- Manual Effort Reduction
- Average Patient Wait Time
Read case study→
Secure internal knowledge assistants
- Doc Processing Time
- Error Rate
- Average Patient Wait Time
Read case study→
Medical imaging support and diagnostic assistance
- Average Patient Wait Time
- Patient Satisfaction Score
- Clinical Trial Success Rate
Read case study→
Surgical and clinical risk prediction
- Clinical Trial Success Rate
- Patient Satisfaction Score
- Average Patient Wait Time
Read case study→
Hospital workforce planning and bed occupancy forecasting
- Staff Utilization Rate
- Overtime Cost %
- Absenteeism Rate
- Labour Cost per Unit
- Employee Productivity
Read case study→
Appointment scheduling and no-show prediction
- Staff Utilization Rate
- Appointment No-Show Rate
- Overtime Cost %
- Schedule Adherence
Read case study→
Clinical trial recruitment and patient matching
- Patient Recruitment Rate
- Clinical Trial Success Rate
- Patient Satisfaction Score
- Time-to-Enrollment
Read case study→
Adverse-reaction and pharmacovigilance assistants
- Doc Processing Time
- Error Rate
- STP Rate
Read case study→
Care-feedback classification and analysis
- CSAT
- Patient Satisfaction Score
- Average Patient Wait Time
Read case study→
Personalized recommendations and product discovery
- Average Order Value
- Conversion Rate
- Customer Lifetime Value
- Basket Size
- Click-Through Rate
Read case study→
Demand forecasting and inventory optimization
- Forecast Accuracy
- Inventory Turnover
- Stockout Rate
- Days Sales of Inventory
- Order Fill Rate
Read case study→
Demand sensing for perishables and fresh categories
- Stockout Rate
- Shelf Availability
- Order Fill Rate
- Inventory Turnover
Read case study→
Multi-channel customer service AI
- CSAT
- First Contact Resolution
- Average Handle Time
- Cost per Contact
- Deflection Rate
Read case study→
Personalized promotions and churn prediction
- Customer Churn Rate
- Retention Rate
- Net Revenue Retention
- Customer Lifetime Value
Read case study→
Dynamic pricing and markdown optimization
- Forecast Accuracy
- Gross Margin
- Price Realization Rate
- Markdown Rate
- Days Sales of Inventory
Read case study→
Store-level demand sensing and replenishment
- Stockout Rate
- Shelf Availability
- Order Fill Rate
- Replenishment Cycle Time
Read case study→
AI content generation and campaign optimization
- Marketing ROI
- Campaign Conversion Rate
- Brand Awareness Score
- Customer Acquisition Cost
Read case study→
Cart validation and fraud protection
- Conversion Rate
- CSAT
- Order Fill Rate
- Fraud Loss Rate
Read case study→
Embedded AI features in customer-facing products
- Adoption Rate for New Features
- CSAT
- Customer Lifetime Value
- Net Revenue Retention
Read case study→
Support automation and agent assist
- CSAT
- First Contact Resolution
- Average Handle Time
- Cost per Contact
- Deflection Rate
Read case study→
Governed AI agents for regulated buyers
- Doc Processing Time
- Error Rate
- Compliance Rate
- Manual Effort Reduction
Read case study→
LLMOps, evaluation, and observability
- Error Rate
- Cost per Transaction
- Mean Time to Repair
- Network Uptime
Read case study→
Multi-tenant AI architecture
- Cost per Transaction
- CSAT
- Net Revenue Retention
- Bandwidth Utilization
Read case study→
Customer churn prediction and next-best-offer
- Customer Churn Rate
- Retention Rate
- Net Revenue Retention
- Customer Lifetime Value
Read case study→
AI lead scoring and pipeline intelligence
- Customer Acquisition Cost
- Marketing ROI
- Campaign Conversion Rate
- Forecast Accuracy
Read case study→
Network and platform fault prediction (AIOps)
- Network Uptime
- Mean Time to Repair
- Customer Complaint Rate
- Bandwidth Utilization
Read case study→
AI-assisted documentation and brand governance
- STP Rate
- Doc Processing Time
- Error Rate
- Cost per Document
- Manual Effort Reduction
Read case study→
AI demand forecasting and load prediction
- Forecast Accuracy
- Peak Load Reduction
- Energy Trading Margin
- Reserve Capacity Utilization
- Grid Stability
Read case study→
Predictive asset failure for grid equipment
- MTBF
- Unplanned Downtime
- Maintenance Cost
- Asset Availability
- SAIDI
Read case study→
Smart meter analytics and anomaly detection
- Meter Reading Accuracy
- Non-Technical Loss
- Energy Theft Detection
- Customer Complaint Rate
Read case study→
Renewable integration and storage optimization
- Renewable Energy %
- Capacity Factor
- Curtailment Rate
- Grid Stability
Read case study→
Computer vision for line and asset inspection
- Defect Detection Rate
- Inspection Cycle Time
- Cost of Quality
- Maintenance Cost
- Manual Effort Reduction
Read case study→
Customer churn and switching prediction
- Customer Churn Rate
- Customer Retention Rate
- Customer Lifetime Value
- Net Revenue Retention
Read case study→
Outage prediction and storm response
- SAIDI
- SAIFI
- Mean Time to Repair
- Customer Complaint Rate
- Restoration Time
Read case study→
Energy trading and market intelligence
- Trading Margin
- Forecast Accuracy
- Risk-Adjusted Return
- Market Position
Read case study→
Customer service AI for billing and queries
- CSAT
- First Contact Resolution
- Average Handle Time
- Cost per Contact
- Deflection Rate
Read case study→
Content personalization and recommendation
- Click-Through Rate
- Watch Time
- Customer Lifetime Value
- Engagement Rate
- Conversion Rate
Read case study→
AI content tagging and metadata enrichment
- Doc Processing Time
- Manual Effort Reduction
- Search Accuracy
- Content Reuse Rate
Read case study→
Automated transcription, translation, captioning
- Doc Processing Time
- Error Rate
- Manual Effort Reduction
- Localization Coverage
Read case study→
Content moderation at scale
- Moderation Accuracy
- False Positive Rate
- Average Review Time
- User Trust Score
- Manual Effort Reduction
Read case study→
Audience analytics and ad targeting
- Marketing ROI
- Campaign Conversion Rate
- CPM
- Click-Through Rate
- Engagement Rate
Read case study→
Subscription churn and retention
- Customer Churn Rate
- Retention Rate
- Net Revenue Retention
- Customer Lifetime Value
Read case study→
Computer vision for asset enhancement
- Asset Quality Score
- Doc Processing Time
- Manual Effort Reduction
- Content Reuse Rate
Read case study→
Fraud detection — account takeover and piracy
- Fraud Loss Rate
- False Positive Rate
- Account Takeover Rate
- Investigation Efficiency
Read case study→
AI-driven content production assist
- Time-to-Publish
- Content Volume
- Quality Score
- Manual Effort Reduction
Read case study→
Trust & deployment
EU-first by architecture.
Three reference deployment patterns — mapped to your data sensitivity.
Fast-Start Azure AI
Best for speed-to-value
- Azure OpenAI + M365 / Copilot
- Microsoft Fabric or Databricks
- Managed guardrails & monitoring
EU/EFTA-Resident Secure AI
Best for privacy & audit
- EU/EFTA-hosted regional processing
- Governed model routing
- Enhanced observability & ACLs
Sovereign / Private AI
Best for maximum control
- Private or isolated deployment
- Open-source / SLM models
- Tighter network & approval flow
Tech stack
The technology behind every build.
Multi-model, Azure-first — chosen for production reliability and EU compliance.
Azure OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral
OpenAI Whisper
Microsoft Fabric
Databricks
Snowflake
PostgreSQL
Azure SQL
Azure AI Search
Pinecone
Weaviate
LangChain
LlamaIndex
Semantic Kernel
Azure AI Foundry
Copilot Studio
Power Automate
Logic Apps
Microsoft Entra
Purview
Defender
Key Vault
EU AI Act
NIS2
GDPR
DORA
ISO 27001
Azure DevOps
GitHub Actions
Terraform
Docker
Kubernetes
Azure Monitor
MLflow
Langfuse
Why Gateway
Built to ship, trusted to scale.
Numbers that matter — and four reasons enterprises choose us.
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Years of delivery
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Projects shipped
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Enterprise clients
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Technologists
01
Full-stack
AI, cloud, cybersecurity, and product engineering — under one roof.
02
Ships products
9 AI products in production. Engagements start on accelerators.
03
EU-grade default
AI Act, NIS2, GDPR, DORA shape design — not audit checklists.
04
Local + global
Onshore client partners. Scaled engineering hubs. Better economics.
FAQ
Questions before every engagement.
Copilot is a great consumption layer. We extend it with governed retrieval, cross-system workflows, and the production controls Copilot doesn't ship with. Most engagements integrate with Copilot, not replace it.
Compliance shapes our default deployment posture, not a checkbox at the end. AI Act, NIS2, GDPR, and DORA shape design from day one. EU-resident and sovereign options available with Entra, Purview, Defender built in.
Structured discovery first — use-case prioritization, data readiness, ROI modeling, compliance scoping — before any production work. You get a clear roadmap and a go/no-go decision, not a prototype with no path forward.
Two reasons. We scope integrations, guardrails, and operational handoff at design time, not month six. And most engagements start on top of our pre-engineered AI products — integrating and tuning, not building from zero.
Our sweet spot is enterprises that need fast, focused execution and sector depth — not an 18-month transformation. We work with companies that want production AI, fast, with the governance to scale safely.