Public Sector & Citizen Services
Modernize citizen-facing services without migrating 25-year-old case management systems. On-prem deployment, full data sovereignty, audit trails for every model decision.
Enterprise AI only creates value when it speaks the language of your sector — its data formats, its regulations, its economic models. We specialize in nine industries where AI-on-existing-data delivers the highest return.
Fraud, risk, credit scoring, AML.
Claims, underwriting, pricing.
Trading, reporting, compliance.
Predictive maintenance, yield.
Routing, inventory, tracking.
Grid load, asset monitoring.
Personalization, pricing, demand.
Patient flow, clinical data, R&D.
Citizen services, data governance.
AI woven into your core banking systems — Oracle Financials, Temenos, Finacle — not glued on top. Production-grade fraud detection, credit scoring, and AML surveillance that satisfies regulators across jurisdictions.
Real-time transaction scoring on live Oracle and MSSQL warehouses. Explainable alerts that survive regulator review — typical reduction in false positives: 60-75%.
Modern scoring models deployed alongside FICO or bureau-based systems — not replacing them — to capture thin-file and new-to-credit borrowers safely.
Automated generation of Basel, FATCA, CRS, and local central-bank reports directly from your core systems. Validation and reconciliation in hours, not weeks.
Document intelligence, fraud detection, and dynamic pricing for P&C, life, and health insurers. Average claim-cycle reduction: 28%. Loss ratio improvement: 3-5 points.
Low-latency analytics on tick data, trade surveillance, best-execution reporting, MiFID II / Dodd-Frank compliance. Embedded directly into kdb+, Snowflake, or in-memory grids.
Live dashboards on bed occupancy, ICU utilization, staffing, supply chain — pulled from HL7 / FHIR feeds and core EHR databases without changing clinical workflows.
Risk scoring for sepsis, readmission, and deterioration — running on existing EMR data. Every alert is explainable and reviewable by attending physicians.
Trial recruitment, medical affairs intelligence, field-force optimization. Integrated with Veeva, SAP, and proprietary lab systems.
HIPAA-aligned AI that lives inside your hospital's EHR and operational databases — not outside them. Designed for environments where patient safety and auditability are non-negotiable.
Every retail stack we've seen is a patchwork — Oracle for finance, SAP for supply chain, Shopify for storefront, Salesforce for clienteling. We weave AI across all of it without forcing consolidation.
SKU-level forecasts at 15-minute resolution, factoring weather, promotions, competitor pricing, and local events. Typical stock-out reduction: 35-55%.
Real-time price optimization across channels — respecting legal constraints, brand guardrails, and competitive positioning. Margin uplift of 3-8 points.
Unified customer view across POS, e-commerce, loyalty, and service — with next-best-action engines that run on your existing CRM, not a new one.
Time-series models on SCADA, IoT, and MES data — predicting failures 48-120 hours in advance. Deployed in plants running Siemens, Rockwell, Honeywell, and Schneider.
Process-parameter tuning against quality outcomes. Typical yield lift: 2-4 points — which, at scale, funds the engagement many times over.
Multi-modal route optimization, dynamic ETA, and inventory positioning across DCs. Works with Manhattan, Oracle OTM, SAP TM, and bespoke WMS systems.
Load forecasting, demand-response, predictive asset health for T&D networks. Regulated-utility-grade explainability and documentation for regulator review.
Industrial AI that doesn't require ripping out your DCS, MES, or ERP. We embed intelligence into the data flow between them — where most of the latent value lives.
Sectors where data sovereignty, explainability, and uptime aren't optional — and where the cost of a poorly governed AI project falls on the public.
Modernize citizen-facing services without migrating 25-year-old case management systems. On-prem deployment, full data sovereignty, audit trails for every model decision.
OSS/BSS integration, network anomaly detection, churn prediction, and customer intelligence for tier-1 operators. Works alongside Amdocs, Ericsson, Huawei, and Nokia stacks.
Conglomerates and holding groups use our unified intelligence hub to consolidate analytics across subsidiaries without forcing them onto one ERP.
Every industry has its own data shape, its own regulators, its own unit economics. Our first call is always sector-specific — no generic slide decks.
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