10xmo is a single, secure platform that runs your applications and stores your data — together. Deploy compute, object storage, managed databases, queues, and a global CDN from one console and one API. Engineered for analytics workloads, AI pipelines, and SaaS backends that can't afford to slow down.
Most teams stitch together five or six providers to run a serious application: a compute provider here, a database there, an object store somewhere else, a message broker, a CDN, plus the glue and observability on top. 10xmo collapses all of it into a single, opinionated stack — without sacrificing the flexibility of going low-level when you need to. The result is fewer accounts to reconcile, fewer security boundaries to audit, and fewer 3 a.m. pages from a service that doesn't talk to its neighbors.
Spin up dedicated VMs, autoscaling container clusters, or serverless functions. Hardware is matched to your workload — CPU-optimized for APIs, memory-optimized for OLAP, GPU-accelerated for inference.
Petabyte-scale, S3-compatible object storage with eleven 9s of durability. Drop-in for any tool that already speaks S3, with seamless replication across 10xmo services.
PostgreSQL, MySQL, MongoDB, ClickHouse, and Redis as a service. We handle replication, backup, point-in-time recovery, and version upgrades. You write queries.
Push static assets, signed media, and rendered pages to 120+ points of presence worldwide. Smart routing keeps requests inside the 10xmo backbone for predictable, single-digit-millisecond delivery.
Every workload runs inside an isolated VPC with private networking, KMS-backed encryption at rest, mTLS in flight, and identity-aware access controls — there's nothing to switch on, it's the only way the platform runs.
Metrics, logs, distributed traces, and synthetic monitoring are wired in from day one. Browse traces by request id, jump from a flame graph straight to the line of code that caused the regression.
Whatever you're building — an analytics dashboard, a content platform, a model-serving API, or a transactional SaaS — 10xmo has a reference architecture, a sample repository, and a customer success team that has shipped something similar before.
Stream events into ClickHouse or Postgres, query from a low-latency API, and serve dashboards through the edge — without a single moving part outside 10xmo.
Read the reference architecture →
Reserve GPU pods by the minute, store training data in 10xmo Object Storage at zero egress, and ship inference behind an edge endpoint — with rollback baked in.
Explore the AI workbench →
Per-tenant Postgres schemas, regional residency, blue/green deploys, and edge caching come pre-wired — so you can ship a product, not a platform team.
Browse the SaaS template →
Store cold archives, regulated records, and active analytics under one roof. Native Iceberg and Parquet support, plus a query engine that runs against object storage directly.
View the data lake guide →10xmo handles the infrastructure choreography that usually takes a platform team to assemble. You bring a Dockerfile, a database schema, or a binary; we handle the rest.
Link GitHub, GitLab, or Bitbucket — or push a container image to the 10xmo registry. We detect the language, the framework, and a sensible build path automatically.
Declare the services you need in a single 10xmo.yaml file. Compute pools, databases, buckets, queues, and edge functions are created together as one atomic deployment.
Every release is built once, signed, and replicated to your chosen regions. DNS, TLS, and caching are configured for you. Rollbacks are a single click — or a single API call.
Built-in autoscaling, anomaly detection, and circuit breakers keep traffic flowing. When something does go wrong, traces, logs, and profiles are linked by request id so you can find root cause without leaving the console.
Infrastructure-as-code is a first-class citizen on 10xmo. The same configuration that runs your service in production is the configuration you commit to your repo.
Use plain YAML for the common case, drop into Terraform or Pulumi when you need every knob, or call the REST API directly. There is exactly one source of truth.
# 10xmo.yaml — single source of truth name: invoice-service region: [us-west-2, eu-central-1] compute: runtime: container cpu: 2 memory: 4Gi scaling: min: 2 max: 40 database: engine: postgres-16 storage: 100Gi replicas: 2 storage: name: invoices-archive tier: cold retention: 7y
These aren't aspirations from a slide deck — they're the numbers our platform reports back to us, every minute, from production fleets running customer workloads.
10xmo operates Tier IV-equivalent facilities across North America, Europe, the Middle East, Asia-Pacific, and South America — connected by a private dark-fiber backbone that bypasses public-internet congestion.
Every region is built from a minimum of three independent availability zones with diverse power, cooling, and network paths. Every facility runs on 100% renewable energy contracts, with on-site battery and generator capacity rated for 96 hours of continuous load.
Need data residency? Pin a workload to a single region. Need global reach? Replicate it across continents with a single configuration line. The platform handles the rest — DNS, certificates, latency-based routing, conflict resolution, and compliance attestations.
10xmo was designed by a team that ran security and platform engineering at hyperscalers — and we built the platform we wanted to use. Encryption, isolation, identity, and audit are not features you turn on; they are how the platform runs by default.
Customer data is encrypted with AES-256 at rest, with optional customer-managed keys backed by FIPS 140-2 Level 3 hardware security modules. Traffic between every internal service is mTLS-authenticated. All control-plane actions are written to an immutable audit log that you can stream to your own SIEM in near real time.
“We migrated five separate services and three different cloud accounts onto 10xmo in a single quarter. Our infra bill dropped 41%, and our on-call burden dropped even further.”
“We ship a model update every Tuesday. With 10xmo, the entire pipeline — training data, GPU pods, evaluation, canary rollout — lives in one config file. It's what AWS would be if you started designing it today.”
“The platform team I would have had to hire is just… 10xmo. Their support engineers know our system architecture better than some of our own engineers. That's the ROI you don't see on the invoice.”
