PRODUCT FAMILY
Signal extraction, forecasting, and optimization for high-stakes operations. Every model ships with explainability layers, decision trace logging, and configurable confidence thresholds — so humans stay in control of what matters.
01 — RISK & REGULATED DOMAINS
Real-time risk intelligence for market surveillance, fraud detection, and operational risk. Scores threats with full explainability — every alert comes with the evidence chain, not just a number.
QUICK SPECS
KEY CAPABILITIES
Market Surveillance
Detect insider trading, wash trading, spoofing, layering, and price manipulation across equity, derivative, and fixed-income markets in real-time.
Fraud Detection
Multi-layer fraud scoring across transaction channels. Behavioral biometrics, network analysis, velocity checks, and device fingerprinting signals.
Explainability Engine
Every alert includes feature attribution, evidence artifacts, similar historical cases, and a natural-language explanation suitable for regulatory submission.
Case Management
Built-in investigation workflow — alert triage, evidence packaging, escalation chains, regulatory filing generation (STR/SAR), and closure documentation.
HOW IT WORKS
Ingest
Order flow, transactions, market data, communications — all feeds
Detect
Rules + ML ensemble scoring. Pattern matching, anomaly detection, network analysis
Explain
Feature attribution, evidence chain, natural-language summary
Investigate
Analyst workbench, evidence drill-down, related-entity graph
Report
Auto-generate STR/SAR, regulatory packs, board-level dashboards
USE CASES
Stock Exchanges
Real-time surveillance across all listed instruments. Detect manipulation patterns, generate regulatory alerts, and produce evidence packs for enforcement teams.
Retail Banking — AML
Transaction monitoring for anti-money laundering. Customer risk profiling, suspicious activity flagging, and automated STR generation with full audit trail.
Brokerage — Compliance
Pre-trade and post-trade surveillance. Best execution monitoring, conflict of interest detection, and regulatory reporting for SECP, SEC, or MAS frameworks.
INTEGRATIONS
02 — ENTERPRISE INFRASTRUCTURE INTELLIGENCE
Infrastructure performance intelligence for enterprise IT, data centers, and banking systems. Anomaly detection, capacity forecasting, predictive maintenance, and service health optimization — built on real-time infrastructure telemetry across servers, networks, databases, and applications.
QUICK SPECS
KEY CAPABILITIES
Infrastructure Anomaly Detection
Real-time detection of degradation, outages, resource exhaustion, and unusual behavior across servers, databases, and applications. ML-based baselining adapts to workload patterns and seasonality.
Capacity Forecasting
Predict CPU, memory, storage, and throughput utilization at server, cluster, and data center level. Plan infrastructure investments and cloud scaling with data, not guesswork.
Predictive Maintenance
Predict hardware failures, disk degradation, and performance decay before they cause outages. Schedule maintenance windows based on actual equipment health, not arbitrary calendars.
Service Health Score
Composite health scoring per service, per environment, per business function. Identify degradation before users report issues. Correlate with SLA metrics and business impact.
USE CASES
Banking Core Systems
Monitor core banking, ATM networks, payment gateways, and trading platforms 24/7. Detect anomalies before they impact transactions. Predict capacity needs for peak periods like month-end and year-end processing.
Data Center Operations
Server health monitoring, storage capacity planning, cooling optimization, and power utilization forecasting. Predict failures 48-72 hours in advance. Reduce unplanned downtime by 40-60%.
Managed Service Providers
Multi-tenant infrastructure monitoring across dozens of enterprise clients. Unified dashboards, client-specific SLAs, and automated incident response. Scale operations without scaling headcount.
INTEGRATIONS
03 — CAPITAL MARKETS
Real-time market intelligence for trading desks, portfolio managers, and research teams. NLP-driven sentiment analysis across news, filings, social feeds, and alternative data — surfaced as actionable signals with configurable alerting.
QUICK SPECS
KEY CAPABILITIES
Sentiment Engine
Entity-level sentiment scoring from news, filings, earnings calls, and social media. Tracks sentiment momentum, reversals, and divergences against price action.
Event Detection
Identify material events — M&A, regulatory actions, management changes, earnings surprises — as they break. Classify by sector impact and urgency.
Cross-Asset Signals
Correlation analysis across equities, bonds, commodities, and FX. Detect regime shifts, contagion patterns, and rotation signals across asset classes.
Analyst Dashboard
Customizable watchlists, alert feeds, sector heatmaps, and one-click research summaries. Exportable to Excel, PDF, or direct OMS/EMS integration.
USE CASES
Asset Management
Alpha signal generation for systematic and discretionary strategies. Backtest sentiment factors, screen for event-driven opportunities, and monitor portfolio risk signals.
Sell-Side Research
Accelerate analyst coverage with AI-generated event summaries, peer comparisons, and sentiment trend reports. Reduce time-to-publish by 60%.
Central Banks & Regulators
Systemic risk monitoring, market stress indicators, and cross-border capital flow analysis. Multi-language coverage for emerging and frontier markets.
INTEGRATIONS
04 — SUPPLY CHAIN & RETAIL
Demand forecasting and inventory intelligence for retail, FMCG, and distribution. Predicts what sells where, when, and how much — then recommends replenishment, markdown, and allocation strategies automatically.
QUICK SPECS
KEY CAPABILITIES
Multi-Horizon Forecast
Short-range (daily replenishment), mid-range (promotional planning), and long-range (assortment and capacity) forecasts in a single model framework.
Promotion & Event Lift
Quantify the impact of promotions, holidays, weather, and local events. Separate baseline from uplift for cleaner demand signals and better ROI measurement.
Auto-Replenishment
Generate purchase orders, transfer orders, and allocation plans automatically based on forecast, stock position, lead time, and service-level targets.
Waste Reduction
Markdown optimization for perishables, shelf-life tracking, and dynamic pricing recommendations. Reduce waste by 15-25% while protecting margin.
USE CASES
Grocery / Supermarkets
Fresh produce demand planning, markdown optimization for expiring goods, and store-level replenishment across 500+ SKU categories per location.
FMCG Distribution
Warehouse-level demand forecasting, promotional lift planning, and route-to-market optimization across distributor and direct-store-delivery channels.
E-Commerce Fulfillment
Pre-position inventory across fulfillment centers based on predicted demand geography. Reduce delivery times and stockout rates simultaneously.
INTEGRATIONS
NEED A SIGNAL?
We'll configure a POC on your dataset within two weeks. No black boxes — every prediction comes with an explanation.