AeroSLSAeroSLS
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Runtime status · coherent

Coherent by design.

AeroSLS is an AI-native operating system on Single Level Storage. One runtime unifies RDBMS, vector store, AI gateway, and agents—so hardware and cloud platforms ship coherent AI systems on commodity CPUs, not a pile of bolted-together services.

Talk OEM partnershipsInspect the platform
Nodes
128

cluster view

Storage
64TB

unified plane

Vector index
2.7B

in-substrate

Agents
56

runtime live

01 · Platform

Batteries included. Seams removed.

Against DIY stacks and narrow AI runtimes that do not own storage, AeroSLS ships one system where relational data, vectors, and agents share a single architectural model.

01SLS

Single Level Storage

One storage model for data, code, and AI state. No glue layer between OS, database, vectors, and agents.

02RDBMS

Full RDBMS

Relational workloads live in the same substrate as embeddings and agent memory—queryable, durable, shared.

03VECTOR

Vector store

Native vector index without a bolt-on service. Retrieval sits next to tables, not across a network hop.

04AGENTS

AI gateway + agents

Model routing and agent creation as OS capabilities. Spawn, inspect, and operate agents inside the runtime.

02 · Single Level Storage

Storage as the source of truth.

SLS unifies data, code, and AI state so the OS, database, vector index, and agent runtime are not four products held together with integration glue. Coherence over collage—by architecture, not by dashboard.

  • One model for transactional data and AI memory
  • Native apps and traditional apps on the same OS
  • Open core for evaluation; commercial licenses for OEM production

Architecture contrast

Prefer coherence

Assembled stack

  • Linux host
  • + Postgres
  • + Vector DB
  • + LLM gateway
  • + Agent framework
  • = ops seams forever

AeroSLS

  • SLS substrate
  • RDBMS in-plane
  • Vector in-plane
  • AI gateway native
  • Agents as OS capability
  • = one runtime

03 · Who it is for

Dual motion. One product story.

Developer-led evaluation builds the proof OEMs need. OEM and hardware partners are the commercial engine.

Primary commercial wedge

Cloud & edge OEMs

Bundle a differentiated AI-capable OS/runtime on silicon, devices, or edge and cloud platforms—without assembling Linux + Postgres + vector DB + gateway yourself.

  • Design-partner packaging
  • Reference runtime images
  • Licensing for production SKUs

Bottom-up adoption

Developers & evaluators

Docs, demos, and an open core path so systems and AI infrastructure engineers can prove fit before an OEM conversation starts.

  • Hello-agent demos
  • Traditional app coexistence
  • Evidence over architecture theater

04 · Path to value

From demo to design-in.

Pre-MVP focus: crisp developer story, partner-ready artifacts, then a small set of credible OEM conversations.

  1. 01

    Evaluate the runtime

    Run the coherent stack on popular CPUs. See RDBMS, vectors, gateway, and agents without wiring four vendors.

  2. 02

    Prove coexistence

    Ship traditional applications alongside native AeroSLS apps so adoption is not a full rewrite.

  3. 03

    Design-in with OEMs

    Convert technical traction into partner packaging, support boundaries, and commercial runtime licenses.

Coherence over collage

One integrated system beats a fragile stack of point tools.

Evidence over theater

Demos, benchmarks, and partner artifacts—not slideware architecture.

Builder-respectful defaults

Technical people can evaluate without a sales call.

05 · Partner

Ship coherent AI runtimes on commodity CPUs.

If you are an OEM, platform, or edge partner exploring an AI-native OS bundle—or a systems engineer who wants the runtime story before the deck—start here.

Email partnershipsOpen runtime console

Open core · OEM licenses · Pre-MVP