Company Capabilities

Cogniaxiom engineers Industrial and IoT telemetry data platforms, from edge ingestion and secure backend storage to transformation pipelines, operational dashboards, and alert monitoring.

What we do

Cogniaxiom designs, builds, and operates production telemetry platforms for Industrial and IoT environments. We integrate edge sources, implement resilient ingestion and transformation pipelines, and maintain secure backend services with traceable data handling and controlled access.

Our delivery spans architecture, implementation, and ongoing operations, with emphasis on reliability engineering, data integrity, observability, and web/mobile operational visibility.

Representative delivery outcomes

End-to-end IoT telemetry platforms deployed and operated across multiple geographies (Spain, France, Germany, Italy, and Mexico).
Secure data acquisition and transmission (HTTPS/VPN), with offline buffering and catch-up synchronisation.
High-throughput time-series ingestion and summarisation in AWS to enable analysis, visualisation, and reporting.
Dashboards and analytics delivery (Grafana, Superset) and algorithms to extract insight from raw field signals.
Cross-platform mobile applications (iOS/Android) with authentication, APIs, alarms, and push notifications.
Infrastructure provisioning and release automation via Terraform, Git-based version control, and CI/CD.

Operating scale and reliability

100+

Field devices operated

30M

Telemetry records / month

400M+

Records accumulated (2 years)

We focus on measurable service outcomes: data completeness, secure connectivity, observability, and operational readiness (monitoring, alerting, runbooks, and controlled releases).

How we work

Discovery & framing: define the decisions to support, required data, and the operating constraints at the edge.
Architecture & security: design secure connectivity, identity, and data flows aligned to real-world field conditions.
Build & integrate: device integration, APIs, data pipelines, and user-facing dashboards/apps.
Operate & improve: observability, SLOs, incident response, capacity planning, and continuous optimisation.

Delivery approach

A disciplined delivery model focused on measurable outcomes, reliability, and operational continuity.

1. Discovery & requirements

Define edge sources, telemetry protocols, KPI needs, and operational constraints with clear ownership and integration boundaries from day one.

2. Architecture & plan

Design secure ingestion, backend storage, transformation flows, and delivery milestones with explicit controls for integrity, access, and reliability.

3. Implementation

Implement gateways, pipelines, time-series processing, web/mobile operational dashboards, and alarm automation aligned to agreed operating standards.

4. Validation & rollout

Validate telemetry accuracy, transformation correctness, and alert behavior through quality gates and stakeholder sign-off before controlled rollout.

5. Operate & improve

Operate with observability metrics, tune thresholds to reduce alert noise, and iterate platform controls as field and business requirements evolve.

Edge-to-cloud data platforms • IoT telemetry • Analytics & dashboards

Technology toolkit

A pragmatic stack for shipping and operating production systems.