AI-native platforms for
regulated industries.
Single-tenant, deploy-anywhere. Explainable AI. Tamper-evident audit. Human-in-the-loop agents. Across seven verticals, thirty-two products, and five services, on one shared architecture.
Agentic AI · Across the Aelix Echo suite · Now live
From software that informs to software that acts.
Every Aelix Echo platform and service ships with domain AI agents. Agents that gather context, reason over your data, take routine actions inside your systems, and hand decisions to a person when it matters. Orchestrated inside your perimeter, audited on every step.
Tool-using, not free-roaming.
Agents act only through governed Aelix APIs. Every tool call is permissioned and logged.
Human-in-the-loop by default.
Agents prepare the work and stop at the decision. A person approves anything that moves money, files with a regulator, or touches a customer.
Auditable by construction.
Every agent run lands in the same tamper-evident audit trail as the rest of the platform.
Most enterprises don't have a technology problem. They have a visibility problem.
Operations break down between systems, not inside them. Fragmented workflows and reactive decisions cost more than any single tool can fix.
Fragmented workflows
Work moves between disconnected systems with no shared source of truth.
Manual operational dependencies
Critical decisions still wait on spreadsheets, email threads, and tribal knowledge.
Reactive decision-making
Teams respond to incidents after they surface instead of preventing them.
Forecasting delays
Planning cycles lag behind reality, eroding margin and operational confidence.
Compliance complexity
Audit trails are reconstructed manually, increasing risk and overhead.
Lack of operational visibility
Leaders cannot see status, exceptions, or bottlenecks in real time.
System silos
ERP, CRM, MES, and SCADA data never converge into a single operational view.
Workflow bottlenecks
Approvals, exceptions, and handoffs stall throughput across every function.
Operational intelligence, structured around how enterprises actually run.
Four capability pillars that combine into a single operational layer across your business.
Intelligent Operations
Forecasting and decision support that turn operational data into action.
- Predictive analytics
- Operational intelligence
- Forecasting systems
- Decision support
Agentic Automation
Reading, deciding, and routing. The three layers that take manual work off the desk.
- Intelligent document processing
- AI agents
- Workflow orchestration
- Exception management
Industrial Intelligence
IIoT and asset systems that make plants, grids, and fleets predictable.
Enterprise System Modernization
Custom builds, integrations, and data plumbing for the systems no product reaches.
- Custom software development
- ERP integrations
- Operational dashboards
- Data pipelines
Real work, described exactly as it ran.
6 engagements across document intelligence, process automation, custom software and AI model evaluation. Client names are withheld, and no outcome is claimed that was not given to us to publish.
Simulated interface. Not client data.
I want to…
AI systems designed around real operational environments.
Named products, built for industry-specific workflows. Click through to deep-dive on any one.
FinTech
7 productsRisk, credit, and operational AI for financial institutions.
Healthcare
4 productsClinical operations, patient flow, and revenue cycle automation.
Manufacturing
4 productsAI for production floors, asset health, and shop-floor visibility.
Logistics
4 productsSupply chain visibility, routing, and warehouse intelligence.
LegalTech
4 productsContract intelligence, matter management, and legal operations.
Energy & Utilities
5 productsGrid intelligence, asset reliability, and sustainability operations.
Real Estate & Construction
4 productsProperty management, BIM design, construction tracking, and smart-building intelligence.
From signal to action, in one operational layer.
Every Aelix system follows the same five-stage flow, adapted to your industry's data and workflows.
Stage 01
Sources
ERP, MES, SCADA, CRM, document repositories, sensor telemetry.
Stage 02
Ingest
Real-time pipelines normalize and unify data into operational context.
Stage 03
Intelligence
ML models, AI agents, and forecasting engines reason over the data.
Stage 04
Decisions
Recommended actions surfaced with confidence scores and reasoning.
Stage 05
Actions
Workflow automation, alerts, and writebacks to source systems.
Stage 01
Sources
ERP, MES, SCADA, CRM, document repositories, sensor telemetry.
Stage 02
Ingest
Real-time pipelines normalize and unify data into operational context.
Stage 03
Intelligence
ML models, AI agents, and forecasting engines reason over the data.
Stage 04
Decisions
Recommended actions surfaced with confidence scores and reasoning.
Stage 05
Actions
Workflow automation, alerts, and writebacks to source systems.
Production-grade from day one.
Security, governance, and deployment controls enterprises need before any AI system goes live.
Security & compliance
SOC 2-aligned controls. SOC 2 Type II and ISO 27001 audits planned.
Governance & access
Role-based access, audit trails, and data lineage by default.
Deployment flexibility
Cloud, on-prem, or hybrid. Your data stays where your policy demands.
Enterprise SSO
SAML, OIDC, and SCIM for identity provider integration.
Operational visibility
Health checks, alerting, and runbooks your operations team can see and act on.
Scalable architecture
Horizontal scaling across workloads, regions, and tenant isolation.
Connects to the systems your enterprise already runs.
Pre-built connectors across the operational stack: ERP, CRM, cloud, analytics, industrial protocols, and productivity tools.
ERP
Connect operational systems of record.
CRM
Sync customer and account data.
Cloud
Deploy where your data lives.
Analytics
Surface insights in tools your teams already use.
Industrial
Read from plants, grids, and field assets.
Productivity
Push alerts and approvals into daily workflows.
Ready when you are
See it on your own data.
An enterprise specialist walks your team through the vertical that fits, scopes the deployment shape, and maps the first workflow that pays the work back.