As AI becomes a foundational layer of enterprise productivity, how and where it gets deployed has never mattered more. Whether you’re operating in a tightly regulated environment, scaling rapidly across global regions, or simply optimizing for cost and agility, infrastructure plays a critical role in unlocking the full value of intelligent automation.
That’s why, we are giving you more choices on where and how the Hyperscience Hypercell can be deployed in a way that scales with the growth of your business.
Infrastructure Aligned with Customer Needs
When you are looking to harness the power of AI to unlock value from documents at enterprise scale, there are multiple aspects to consider: among them security, scalability, cost, and time to value. Your choice of deployment affects all of the above, as infrastructure is the foundation for reliable, secure and flexible automation in the enterprise.
The good news is: Hyperscience can run anywhere – from “air-gapped”, on-premise deployments, through private cloud, to Software as a Service (SaaS), including FedRAMP High, so you can choose the one that meets the specific needs of your business. This is only possible, because the Hyperscience platform is intentionally designed to run across deployment options without sacrifices.
Many Deployment Options: Same Powerful Platform
On-premise deployments of the Hypercell, as the name suggests, run on hardware that is physically at the customer’s site(s), and are predominantly selected by customers in compliance-focused environments in heavily regulated industries. If required, Hyperscience can run even in so-called “air-gaped” environments, with no network connectivity to the outside world, all while providing the same leading, AI-powered data extraction and agentic capabilities.
We are seeing continued interest from our on-premise customers in embracing the cloud by moving their Hypercells to SaaS or third-party-managed-cloud deployments. The major force behind this trend is the desire to take advantage of the horizontal scalability that Hyperscience offers via industry-standard Kubernetes orchestration.
In third-party-cloud deployments of Hyperscience, physical hardware is managed by the cloud provider, most frequently one of the major hyperscalers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), while the customer retains responsibility for installing, maintaining, upgrading and scaling their Hypercell.
In contrast to on-premise deployments, moving to the cloud allows enterprises to meet the scale required by their business, with lower overhead (think capital expense on servers vs. operating expense on services). This can be done while taking advantage of elastic infrastructure for on-demand usage of expensive specialized hardware, like Graphics Processing Units (GPUs), for resource-intensive use cases that leverage Large Language Models (LLMs) and Vision-Language Models (VLMs).
Hyperscience SaaS provides customers with the ultimate in agility, elasticity and speed of deployment. With this option, running, scaling and upgrading the Hypercell is handled by Hyperscience, which, coupled with the available white-glove service from expert teams who train models and build custom flows for business-process-specific orchestration, further shortens iteration cycles and reduces time to value.
Hyperscience SaaS runs on a horizontally scalable architecture that constantly monitors the task queue for certain components of the Hypercell. As task volume grows, the platform utilizes intelligent preemptive infrastructure autoscaling to activate additional resources. With this smart scaling strategy, the Hyperscience SaaS platform routinely processes millions of pages per day for our customers, enabling them to focus on growing their business instead of worrying about meeting peaks in demand.
The Power of Provider Choice – GCP, AWS and FedRAMP
With the recent launch of Hyperscience SaaS on the Google Cloud Platform (GCP), customers can now also purchase the Hypercell through the GCP marketplace.
You might ask why we decided to offer our SaaS solution on multiple clouds: because it allows us to provide the best ML technology options while meeting the strictest data residency requirements. Additionally, Hyperscience SaaS is enterprise-grade and SOC2-compliant, meeting strict standards for data protection, reliability and transparency.
For use cases that require handling of highly sensitive data, we give you even more choice with the FedRAMP High SaaS deployment. Developed in partnership with Palantir Technologies, it allows the Hypercell to run in a highly-secure, accredited cloud environment. Importantly, all the rigor that goes into building and maintaining our FedRAMP deployments, has in turn strengthened the security of our platform across all deployment options.
Choice Beyond Deployments
Our modular infrastructure approach not only gives you more choice of where your Hypercell is deployed, but also how data flows in and out. Because we know that data lives across different environments, our platform integrates directly with the most commonly used cloud storage services: Google Cloud Storage, Azure Blob Storage and Amazon S3. This means you can seamlessly connect to where your documents already reside, streamlining ingestion and minimizing data movement. By meeting your data where it is, we simplify the setup of Hyperscience and accelerate time-to-value.
We also make it easier to get started with Hyperscience through the cloud providers’ marketplaces. Whether you use AWS or GCP, the Hypercell can be purchased directly through your cloud-provider of choice, allowing you to take advantage of pre-committed cloud spend. It’s a faster, easier way to purchase, without additional procurement friction, helping you unlock intelligent document automation within your existing cloud agreements.
Conclusion
We’ve designed the Hypecell to give you choice in how you integrate, innovate and scale. Whether your organization requires the control of on-premise infrastructure, the flexibility of private cloud, or the agility and elasticity of a fully-managed SaaS deployment, Hyperscience offers the infrastructure choice that aligns with your business priorities. With the newly-launched SOC 2-compliant SaaS on GCP, existing availability on AWS, and FedRAMP High certification for sensitive government use cases, we’re broadening your options – without compromising on performance, security, or compliance.