Get a free OcientAIQ™ cost savings analysis
Modeled against your actual workloads, before any commitment.
Most organizations running petabyte-scale AI and analytics workloads on conventional architectures are paying significantly more than they need to. The architectural decisions that make OcientAIQ faster and more reliable also make it dramatically more cost-efficient, delivering up to 90% less energy and infrastructure footprint, and up to 80% lower total cost of ownership at production scale.
Our team will work with you to build a free Cost Savings Analysis that shows the technical, business, and financial impact of switching to OcientAIQ, modeled against your specific data volumes, workload patterns, and infrastructure environment. No commitment required.
What the analysis covers:
Infrastructure and platform costs:
Your current architecture versus OcientAIQ at equivalent or greater performance
Data durability without replication and with maximum compression, reducing storage overhead from day one
The impact of pushing AI computation into the platform rather than the context window
Based on documented benchmarks, not synthetic estimates
Over one, three, and five year horizons
Workload and integration savings:
Cost savings from combining disparate repositories and mixed workloads, improved indexing, and streamlined performance against petabyte-scale data without complex pre-aggregations or hardware increases
Savings from consolidating or sunsetting standalone ETL environments and landing zones, and eliminating data movement, copy, and cloud extract costs
Hardware, software, labor, and facilities cost savings from an end-to-end solution delivered by OcientAIQ™ Solutions Delivery
The cost of building it yourself, and the cost of waiting:
Re-platforming or building a new AI data infrastructure from scratch typically takes 12–24 months of engineering time. This translate into time your team isn’t spending on the strategic AI initiatives your organization is counting on. Our analysis includes a full accounting of:
- Engineering and staff time required to build, test, and maintain a comparable solution
- Delayed time to value: the business outcomes and revenue opportunities that accrue only after your AI infrastructure is trusted and ready
- Opportunity cost of the months between decision and production: what your competitors may accomplish in the same window
The OcientAIQ Solution Delivery team partners closely with customers to handles the infrastructure design and rapid visualization, so your engineers, data scientists, and analysts can focus on the AI work that advances your organization’s strategic priorities, not the plumbing beneath it.
What happens next
Getting your analysis is straightforward, and most organizations have results within a week or two:
- Tell us about your environment: data volumes, workload types, current infrastructure, and cost structure
- We model the comparison: our team builds a detailed technical and financial analysis specific to your situation
- You see the numbers: before any commitment, before any production code, before any contract
If the analysis shows a compelling case, and it usually does, we’ll outline a path from first conversation to working solution, typically in days not months.
See what OcientAIQ can save you.
Get in touch and an OcientAIQ expert will be reach out within one business day.