Every Module, One Unified Stack

Purpose-built components that integrate seamlessly. Deploy individually or as a complete intelligence layer across your infrastructure.

Adaptive Inference Engine

Self-calibrating reasoning pipelines that dynamically adjust their analytical depth based on the complexity of each query. The engine profiles incoming requests against a multidimensional complexity matrix, routing simple lookups through lightweight paths while reserving deep analytical resources for multivariate problems. Results are cached intelligently with temporal decay, ensuring sub-50ms response times across 99.8% of production queries.

<50ms
Avg. Response
18
Model Variants
99.8%
Uptime SLA

Real-Time Signal Hub

A high-throughput ingestion layer that connects to 200+ data sources simultaneously, including Kafka streams, webhooks, database CDC, IoT telemetry, and REST/SOAP endpoints. The hub correlates events across channels using a temporal graph algorithm, detects anomalies via ensemble statistical models, and auto-escalates critical patterns through configurable notification chains. Supports replay, deduplication, and backpressure handling out of the box.

200+
Source Connectors
2.4M
Events/sec Peak
<3s
Detection Latency

Workflow Orchestrator

A visual drag-and-drop automation composer that lets teams build multi-step chains without writing a single line of code. Each step supports conditional branching, parallel execution, error recovery strategies (retry, fallback, escalate), and human-in-the-loop checkpoints with approval routing. The orchestrator tracks execution lineage for every run, providing full audit trails and replay capability. Deploy workflows as synchronous APIs, event-driven pipelines, or scheduled batch jobs.

500+
Prebuilt Templates
1,500
Steps per Workflow
0
Code Required
📈

Predictive Analytics Engine

Advanced time-series forecasting and causal inference models purpose-built for business data. The engine automatically detects seasonality, trend shifts, and exogenous variable impacts, generating probabilistic forecasts with confidence intervals. Unlike black-box solutions, every prediction includes contributing factor attribution, so stakeholders understand not just what will happen but why. Cross-validation across 94% of production models shows mean absolute percentage error under 4.7% at 30-day horizons.

94%
Model Accuracy
30+
Algorithm Library
4.7%
MAPE @30 Days
🔒

Zero-Trust Security Mesh

A defense-in-depth architecture embedded at every layer of the platform. All data is encrypted at rest with AES-256-GCM and in transit with TLS 1.3. Access controls follow a granular RBAC model with attribute-based policies, supporting time-bound, location-aware, and device-verified permissions. The mesh continuously monitors for compliance drift across SOC 2 Type II, HIPAA, and GDPR frameworks, auto-remediating violations via policy-as-code enforcement.

SOC 2
Type II Certified
HIPAA
Eligible
GDPR
Compliant
🚀

Edge-Native Deployment

Run inference and automation at the edge with container images under 10MB, purpose-built for resource-constrained environments like factory floors, retail points of sale, medical devices, and remote installations. The edge runtime syncs bi-directionally with Aureon Cloud when connectivity is available, queues operations during disconnection, and reconciles state on reconnection automatically. Fleet management, over-the-air updates, and health monitoring are included.

<10MB
Container Footprint
50K
Nodes Managed
99.9%
Offline Reliability

Scale That Matches Your Ambition

From proof-of-concept to enterprise-wide deployment, a plan that grows with you.

Starter

$0 / mo
For small teams exploring intelligent automation
  • 5 workflow automations
  • 10,000 inference calls/mo
  • 3 data source connectors
  • Community support
Get Started Free

Enterprise

Custom
For organizations requiring dedicated infrastructure
  • Unlimited everything
  • Custom SLA with 99.99% uptime
  • Dedicated inference capacity
  • On-premise deployment option
  • 24/7 dedicated support
  • Custom compliance packages
  • Edge fleet management
Contact Sales

Common Questions

How long does integration typically take?+

Most teams achieve full integration within one to three weeks. Our onboarding team provides dedicated support during the first 30 days, including architecture review, custom connector development if needed, and staff training. The Starter plan includes self-service documentation and community forums.

Can I deploy Aureon entirely on-premise?+

Yes. The Enterprise plan includes private cloud and on-premise deployment options with air-gap support. Our edge-native container images are designed to run in environments with no internet connectivity, synchronizing when connections are restored.

What data sources and systems do you support?+

Aureon connects to 200+ data sources including PostgreSQL, MySQL, Snowflake, BigQuery, Kafka, RabbitMQ, AWS S3, Azure Blob, Google Cloud Storage, REST and SOAP APIs, webhooks, IoT protocols, Salesforce, HubSpot, and custom JDBC/ODBC sources. New connectors can be developed within 48 hours on Professional and Enterprise plans.

How do you handle data security and compliance?+

Aureon maintains SOC 2 Type II certification, HIPAA eligibility, and full GDPR compliance. All data is encrypted at rest (AES-256-GCM) and in transit (TLS 1.3). We offer dedicated compliance packages through the Enterprise plan, including custom data residency rules, audit logging, and access reviews.