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The Agent-Native Operating Layer  ·  Enterprise-first, self-hosted

AI tools make individuals fast. They don't make your company AI-native.

SynOS is the operating layer that unblocks the transformation of your company — or your product — into something agent-native.

Handing your teams Claude Code, Codex, or ChatGPT unblocks one person at a time. Compounding that into a company that runs on agents takes a layer underneath — a live company brain, governed access to your systems, and a safe place for non-coders to build apps and agents that do real work. Engineers set the rails once; the business builds freely and safely.

See how it works →

Enterprise-first. Runs in your own VPC or air-gapped — your data never leaves. Model + harness agnostic.

The real product on a synthetic company (Meridian) — connectors, context brain, workers & natural-language apps.

One layer between your humans, your agents, and your systems.

Humans your people & SMEs Agents Claude Code · Codex · any harness Systems warehouse · CRM · docs SynOS THE OPERATING LAYER

The three things that make AI-native work are blocked from each other today. SynOS sits in the middle — one governed layer your humans, your agents, and your systems all meet through.

Why tools alone don't compound: six walls between a clever demo and real company value.

A harness is a power tool for one person, one session. Claude Code, Codex, ChatGPT, MCP make one smart person fast — they don't give your company shared memory, safe access to your systems, a governed place to deploy, reusable skills, or a learning loop. Hand them out and you get brilliant one-off demos on personal laptops, not compounding company value. That gap is six concrete walls:

01
No shared context
AI forgets your business every session; corrections die in chat history.
“Why do I re-explain our hubs, SLAs and last week’s fix every single time?”
→ Context Brain
02
No safe access to systems
Reaching real data means raw keys on a laptop — no permissions, no audit.
“How do I even get to that warehouse table — safely?”
→ Access Control & Audit
03
Nowhere governed to deploy
Apps and their data ship to personal accounts. No sandbox, no kill-switch.
“Where does this app — and its data — actually live?”
→ Safe Build & Deploy
04
Skills don’t compound
No shared library. Everyone rebuilds the same skill; nothing is reused or scheduled.
“Sarah built this skill last month — why am I starting from scratch?”
→ Compounding Skills
05
Engineering gets overloaded
Every access request, guardrail and deploy routes through eng — they become the bottleneck.
“Why is every team’s automation now a ticket in my backlog?”
→ Set the rails once
06
No learning, no visibility
Outputs lost in sheets and DMs. Who ran what, what’s working — invisible.
“Did that even help? And is anyone else getting value from it?”
→ Self-Learning Loop

Six walls. One layer that answers all six. ↓

The layer underneath that makes it safe, shared, and compounding.

Six pieces. The self-improving Context Brain at the centre; the rest make agents safe, shared, and compounding in production.

Bring your own harness — all speak MCP
Claude Code
Codex
Cursor
ChatGPT
Slack / WhatsApp
In-house agents
SynOS Apps & Workers
MCP · one interface · any model
The Operating Layer
Self-hosted · governed · model- & tool-agnostic
Self-improving · at the center
Context Brain
A living knowledge graph across every source — batch + streaming, continuously curated, cited. Every use makes it smarter.
Compounding Skills
Reusable workflows in plain English. Install once, run anywhere, fork across teams.
Agent-Native Storage
A system of record agents write to — schema-enforced, project-scoped, queryable.
Safe Build & Deploy
Sandboxed apps, scanned before deploy. Shipped on team infra, never personal accounts.
Access Control & Audit
One governed door to your systems — gated by role, audited on every call.
Self-Learning Loop & Traces
Every run traced; every correction reviewed and promoted. Brain and workers improve themselves.
Guardrails RBAC audit sandbox scan egress proxy kill-switch
Connected to your existing systems — not replaced
Warehouse / BigQuery
CRM & SaaS
Docs / Drive / Notion
Slack / Email / WhatsApp
Ads / GA / Tickets

The Company Brain is one pillar of six — and every use makes it smarter.

Closes wall 01 · the centre

Self-improving Context Brain

A shared, living context graph of how your company operates — streaming ingestion from your systems of record, smart extraction, entity resolution. It updates itself as your business changes, and gets smarter from every run.

Self-Learning Loop: every agent trace and every human correction feeds back. The brain compounds — model-agnostic, harness-agnostic, yours forever.

Closes wall 04

Compounding Skills

Built once, shared everywhere

Skills your team builds once, then shares, versions, and forks across the org. The 10th teammate starts from the 9th's best work, not from scratch.

Closes "lost outputs"

Agent-Native Storage

A System of Record built for agents

A store designed for how agents actually write, revise, and reference each other — not what SQL or NoSQL stores were built for. Output accrues into an owned, queryable system of record.

Closes wall 03

Safe Build & Deploy

Custom apps & autonomous workers

Build custom AI workflows and apps shaped to how you operate — and promote a skill into an autonomous, integrated worker. Sandboxed, scanned, governed.

Closes wall 02

Access Control & Audit

One gated, audited door

Per-skill, per-agent, per-team scopes. Revocable. Auditable. A kill-switch. Engineering provisions templates, not tickets — no raw keys on laptops.

Closes walls 05 + 06

Traces & Self-Learning Loop

Visibility your AI team can read

Every skill run and tool call captured — cost, latency, success rate, hallucination signal. Set the rails once so eng isn't the bottleneck; the brain learns from every correction.

With the layer in place, building the rest is the easy part.

Most of what makes a team's agents and apps genuinely useful isn't the model — it's the operating layer above: the brain, governed access, and safe deploy. Once that's there, your non-coding teams just describe what they need in plain English, and SynOS assembles it on your live company brain. Not a chat window: real apps and agents that do critical work and take action across your systems.

Hover to watch it build

Describe an app → it ships in minutes

Type a plain-English brief on the left; the live app updates on the right — screens, logic, charts, and rules wired to your data. No engineers, no six-month roadmap. Sandboxed and scanned.

Hover to see the Playbook & triggers

Describe an agent → it acts for you

A skill-based worker with its own Playbook — run it yourself, schedule it, or trigger it from Slack, webhook or chat. Supervised, stops for a human, with a kill-switch.

See every surface on a real company's data →

Build the 20% that's you. We ship the infra.

Build custom AI workflows and apps shaped to how you actually operate — owned by your team, not rented from a vendor. SynOS owns the brain, storage, governance, and deploy plumbing underneath.

Buy it, don't build it

Buying it is days of integration. Building it is six quiet months. The substrate is the same shape every team ends up building. Storage is the easy 10% — compounding is the product.

Own it, don't rent it

Self-hosted in your VPC. Swap models, swap harnesses, swap connectors — the brain, skills, and audit stay yours. The layer outlasts any contract. SynOS is infra, not lock-in.

BYOA

Bring your own agent

Claude Code, Codex, Cursor, your in-house harness. SynOS sits underneath.

Models

Model-agnostic

Anthropic, OpenAI, Gemini, OSS. Switch for price or capability.

Connectors

Your SoRs

Salesforce, BigQuery, Jira, Slack, Notion, your spreadsheets. Connect once.

Deploy

Self-hosted

Your VPC. Your data. SSO. RBAC. Multi-tenant inside your org.

Runs where your data lives.

Built to pass risk review, not just demo well. SynOS deploys inside your own boundary — only context is extracted; raw data never leaves your systems.

Your VPC or cloud account

Self-hosted inside your own environment, with your own model keys.

Air-gapped on-prem

Fully isolated deployments for regulated and sensitive workloads.

Never trained on

Your data and traces are never used to train any model.

Governed & audited

RBAC on every operation, a per-tool-call audit trail, and a kill-switch.

Stop paying harness prices for work a small model can do.

Prototype in the harness. Productionize the proven path as a deterministic agent — code plus a small, local model — that runs for cents, not dollars.

~70–80% fewer tokens

Agents retrieve the relevant slice of the brain instead of re-reading whole docs and schemas every call.

Model-agnostic routing

Each step goes to the cheapest capable model — local for routine, frontier only where it matters.

Your data compounds

Every run is captured as a trace — the dataset to fine-tune or distil your own model over time.

Templated brains. Live in weeks, then tuned to you.

Each is a template your team builds on SynOS and owns — pre-built for the functions your company runs, then compounding on your data and your corrections. Not productized SKUs; starting points you extend.

The flagship

Company Brain

One living context graph across every team — tribal knowledge captured once and reused everywhere.

The customer Sales just signed is the same one Finance is invoicing and Marketing is segmenting. Resolved once, known everywhere. Every function brain below sits inside it. Start with one function — the brain compounds across the rest.

Explore the brains →

Templates are the starting point, not the ceiling. Each ships day-one, then compounds until it operates the way you do.

Building an agent-native product? Build it on SynOS.

The same layer works under a product, not just a company. Own the brain, skills, storage, and safe-deploy plumbing out of the box — and ship the custom 20% that's actually yours, instead of rebuilding context, governance, and traces for every agent.

Skip the plumbing

Context, skills, storage, sandboxes, access control, and traces come pre-built. Start where you'd normally spend the first two quarters.

Ship your 20%

Put your effort into the product logic and UX that differentiate you — the infra underneath is the same brain your customers' data compounds in.

Bring your own agent

Layer it under any framework or harness. SynOS is the brain, not the body — no lock-in to a single model or agent stack.

Make your company AI-native.

Book a live walkthrough on your own stack, or request early access — no sales pitch, just whether this layer helps what your team is building.

Read the thinking on Substack →