Real-time analytics for G7 markets

Low-latency pipelines, observability, and privacy-first measurement for US enterprises. Process millions of events per second with predictable SLAs.

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Overview

X mono gram's real-time analytics platform combines stream processing, edge collection, and federated privacy controls to provide live insights across distributed systems in G7 regions. We emphasize compliance with US regulations and low-latency decisioning.

End-to-end streaming from ingestion to insight
Built-in observability and tracing for performance tuning
Integrated consent and privacy controls for US compliance

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99.99%

average platform uptime

Architecture & data flow

A modular architecture enables scaling by region and compliance zone. Below we summarize the main components and throughput characteristics.

Components

Edge collectors — high-efficiency SDKs for low overhead
Stream router — multi-tenant, geo-aware routing
Processing engine — stateful windowing, joins, anomaly detection
Storage & OLAP — hot store for live queries, cold store for retention

Throughput table

Layer	Typical TPS	Latency (p99)
Edge	10k–200k	10–50ms
Stream router	100k–2M	20–80ms
Processing	50k–1M	30–200ms

Key features

Low-latency streaming

Sub-100ms pipelines with predictable SLAs and backpressure handling.

Privacy-first

Consent management and differential privacy primitives tuned for US rules.

Live analytics

Real-time dashboards, anomaly alerts, and streaming ML scoring.

Case studies

Proven in production across finance, logistics, and media in G7 regions.

Financial exchange

Reduced decision latency by 60% and increased trading signal throughput.

Logistics & routing

Real-time ETA predictions across multi-region fleets.

Media measurement

Live attribution and viewability metrics with privacy controls.

FAQ

We use geo-aware routing, edge collectors, and adaptive batching to minimize hops and maintain sub-100ms p99 latencies where possible. Local hot storage and caching reduce cross-region round-trips.

We provide consent capture, per-record masking, and differential privacy building blocks. Data residency controls and audit logs help meet US regulatory requirements and corporate policies.

Connectors include Kafka, Kinesis, Pub/Sub, S3, and JDBC sinks. We also provide SDKs, REST APIs, and a SQL-like streaming query language for easy ingestion and enrichment.

Team & experts

Alex Rivera

Lead Systems Engineer

Our cross-functional engineering and data science teams operate across the US and partner G7 offices to deploy and tune streaming systems for demanding workloads. We provide onboarding, runbooks, and SLO-driven operations to match enterprise needs.

Engage experts Data policies

Ready to run real-time in production?

Schedule a technical deep-dive with our architects or request a pilot tailored for your US deployment.

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