Vertically integrated serverless
Compute, data, storage, search, and AI as one system — built on our own infrastructure for public, private, and hybrid cloud.
Compute, data, AI, and access share a single fabric — not a collage of managed services with separate APIs, billing, and operational models.
Auto-scaling execution with fine-grained metering. APIs, backends, and long-running jobs without capacity planning or idle fleets.
High-performance NoSQL datastore, serverless by default — no clusters to size, no provisioning cycles.
Object storage in the same stack as compute and data — for media, logs, worker volumes, and direct uploads via pre-signed URLs.
Full-text and vector indexing on your tables and objects — native to the stack, not a third-party sidecar.
Serverless inference endpoints and training workflows on the same fabric as your data — no separate AI platform to stitch in.
Routes, domains, CDN edge, secrets, streaming, and alerts — the operational surface you should not have to assemble yourself.
Not retrofitted. Not layered. Not resale of hyperscaler primitives. Built from scratch as a serverless-first cloud on our own infrastructure.
Architected from scratch — not evolved from legacy VM primitives. Serverless is the foundation, not a bolted-on feature.
Compute, data, AI, and access as one system. Not 20–30 stitched services with separate billing, IAM, and APIs.
Fine-grained metering and scale-to-zero across the fabric — designed to remove idle spend, not paper over it with reserved capacity.
Inference, training, and vector workflows integrated at the core — not an add-on marketplace next to your database.
European infrastructure aligned with EU residency and regulatory requirements. Built for data locality — including on-premise User Nodes.
A unified control plane that scales, heals, and optimizes without standing ops teams babysitting services.
Bursty AI, agent systems, and sovereign data locality — without idle GPUs, service sprawl, or hyperscaler lock-in as the default path.
Pay-per-inference execution with dynamic scaling. No GPU reservation tax when traffic is quiet.
Short-lived fine-tuning on live operational data — without overprovisioned training clusters.
Infrastructure shaped for bursty, tool-using agents — with developer control still in the loop.
APIs, event-driven systems, and internal tools on one stack — without assembling a dozen managed services.
You ship the application. Scaling, healing, and optimization stay with the control plane.
Declare functions, tables, storage, and routes — via API, CLI, or Console — as one deployable unit.
Resources come up immediately. The platform handles scaling, healing, and placement across the fabric.
Scale with demand. Scale to zero when idle. One credit balance across compute, data, and AI.
KERNSTACK is a vertically integrated serverless cloud — compute, data, storage, search, and AI as one system on our own infrastructure. Deploy your stack; the platform handles scaling, operations, and optimization. One credit balance across services; pay only for what runs.
Hyperscalers evolved from VM primitives and expose hundreds of loosely coupled services. KERNSTACK was built serverless-first: compute, data, and AI share one fabric instead of being stitched together after the fact. That means simpler operations, clearer unit economics, and AI-native infrastructure from day one — not a marketplace of add-ons.
No. KERNSTACK runs on our own infrastructure. We are not wrapping Lambda, DynamoDB, or S3 behind another brand. Vertical integration is the product — and the reason we can offer one system for public, private, and hybrid deployments, including on-premise User Nodes.
KERNSTACK is in closed preview. Reach out for access. Preview environments may change — APIs, features, and pricing are not final, and we do not yet offer production SLAs.
KERNSTACK runs on our own infrastructure, currently deployed in Europe. The architecture supports public, private, and hybrid cloud — including on-premise User Nodes when data locality or sovereignty requires it.