Petabyte-scale agentic AI shouldn't require a petabyte-scale budget.
OcientAIQ™ was engineered from the ground up to maximize performance and minimize cost so organizations running the most demanding AI and analytics workloads get trusted, production-grade results at predictably lower infrastructure spend. Most organizations switching to OcientAIQ from conventional architectures see a 60–80% reduction in total infrastructure cost with equivalent or greater performance.
Conventional data platforms weren’t built to serve 24/7 always-on AI and analytics workloads at petabyte scale. As data volumes grow, agent concurrency increases, and more teams need access to the same governed data, costs on traditional architectures spiral, inhibiting the AI programs their organizations are trying to run.
OcientAIQ is engineered differently. The same 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 than conventional architectures, and up to 80% lower total cost of ownership at production scale.
Say goodbye to surprise superbills and rely on consistent charges based on the number of processors (CPUs) you need to power your workloads. No need to manage costs by terabyte loaded, terabyte queried, or query volume. Instead, align spend to business outcomes—not infrastructure line items.
Maximum efficiency on standard hardware and cloud instances delivers maximum savings for your business requirements and use case.
Stop compromising queries and downsampling data to avoid growing usage charges. Get always-on agentic AI and analytics while saving up to 80% on costs.
OcientAIQ is available through flexible licensing and engagement models designed to match how enterprise AI and analytics programs actually scale, from initial deployment through long-term production operations. Our team will work with you to structure the right model for your environment, data volumes, and operational requirements.
For cloud, on-premises, and hybrid deployments
Deploy OcientAIQ on OcientCloud®, your public cloud of choice, or on-premises and pay a single fee with no incremental ETL required, and no pay-by-compute surprises. Available on annual or multi-year terms, with lower fees for longer commitments.
For on-premises deployments only
Deploy OcientAIQ on OcientAIQ-certified hardware that either you or Ocient can procure, with a perpetual software license. Add updates, upgrades, and support on annual or multi-year terms.
Software, support, and managed services
Accelerate enterprise AI initiatives with fully managed OcientAIQ Solutions that combine Ocient and third-party hardware, software, support, and managed services into one predictable price. OcientAIQ Solutions Delivery helps organizations move from planning to production faster, with expert support for designing, deploying, and operating AI and analytics workloads on petabyte-scale data. Flexible multi-year options are available.
The cost efficiency of OcientAIQ isn’t a pricing decision, it’s an architecture decision. Five patented innovations work together to deliver more with less:
Computation happens where the data lives eliminating the data movement costs that compound on conventional architectures with every query.
Sub-second queries at petabyte scale mean fewer compute cycles per answer, generating the same result for less infrastructure spend.
No data duplication, no redundant storage overhead, and reliability built in without the cost of replication-heavy approaches.
Continuously governed data pipelines replace manual ETL overhead. No third-party pipeline tools required, no incremental ETL costs.
Engineered to maximize the efficiency of modern enterprise hardware and cloud instances, meaning you can scale performance while reducing your average power draw.
The licensing model and cost efficiency of OcientAIQ apply consistently across every deployment option. Whether you’re on OcientCloud®, your public cloud of choice, on-premises, or in a hybrid environment, you get the same petabyte-scale performance, the same governed data foundation, and the same predictable cost structure.