Analytics Platform
DataDax
A configurable business-intelligence workspace connecting data sources, visualization widgets, roles and dashboard sharing.
From cloud strategy and application modernization to automated delivery and day-two operations, OdyxAI designs and engineers the platforms that keep software secure, scalable and ready to evolve.
We connect architecture, infrastructure, developer experience and operational visibility so your teams can spend less time managing complexity and more time delivering value.
A strong cloud platform is not just where applications run. It is how teams release safely, recover from failure, control spend and grow without rebuilding the foundation every time.
Six connected disciplines cover the foundation, the development platform and the practices needed to operate it.
Explore Cloud Capabilities →Cloud assessments, target-state designs, landing zones, workload placement, networking and identity foundations.
Workload discovery, dependency mapping, phased migration, replatforming and application modernization.
Container platforms, managed Kubernetes, reusable developer environments and self-service delivery patterns.
Build, test and deployment pipelines; release controls; environment promotion; and repeatable software delivery.
Version-controlled infrastructure, reusable modules, configuration management and automated provisioning.
Metrics, logs, traces, alerting, recovery planning, performance tuning and cloud-spend governance.
Whether you are moving off aging systems, shipping a new product or managing a growing platform, we work from the business constraint back to the right architecture.
Move applications and data through staged plans with explicit dependencies, security considerations and operational handover.
Give developers consistent environments, automated pipelines and clear paths from code to production.
Bring monitoring, incident readiness, recovery planning and cost visibility into the everyday running of your platform.
Scope is tailored to the environment, but these are the tangible engineering outputs that turn a cloud plan into a working platform.
The same five-stage OdyxAI delivery rhythm aligns business priorities with architecture, engineering and long-term operation.
Understand workloads, business priorities, current systems, operational risks and constraints.
Define target architecture, security boundaries, milestones, success criteria and the migration or build path.
Engineer infrastructure, pipelines and platform capabilities in version-controlled, testable increments.
Validate, release and transition workloads with monitoring, documentation and clear operational ownership.
Measure reliability and costs, improve performance, support teams and evolve the platform over time.
We select technologies around workload requirements, existing investments, security, cost and the skills of the people who will operate them.
Illustrative technologies include:
The platforms we build illustrate the application, data and operational challenges that thoughtful cloud and platform engineering helps address.
Explore Our Work →
A configurable business-intelligence workspace connecting data sources, visualization widgets, roles and dashboard sharing.
A time-series forecasting interface with model configuration, tuning, evaluations and visual results.
A fleet-monitoring experience bringing vehicle locations, trip information, event history and operational views together.
From a focused platform initiative to embedded specialists or ongoing operational support, we match delivery responsibility to your team’s needs.
A defined migration, modernization or platform-engineering initiative with agreed outcomes and milestones.
Cloud, DevOps and platform specialists working closely with your product and engineering organization.
Ongoing monitoring, platform maintenance, incident support and continuous optimization under an agreed model.
Yes. We begin with your current architecture, cloud accounts, deployment methods, operational policies and access boundaries. The solution is designed around what should be retained, improved or replaced—not a forced migration to one provider.
We plan migrations to reduce disruption through dependency discovery, phased releases, testing, rollback and cutover planning. The level of downtime depends on the workload and constraints; zero downtime is not promised by default.
We treat these as architecture and operating decisions from the outset. Controls can include identity and access design, network segmentation, infrastructure policies, monitoring, recovery planning, spend allocation and cost reviews tailored to the environment.
Yes. Ongoing management can include monitoring, incident response coordination, release support, performance reviews, patching and optimization. The scope, coverage windows and service levels are defined in the engagement.
Whether you need to modernize an existing environment, improve release velocity or engineer the platform for a new product, OdyxAI can help define the architecture and do the work that follows.
