OneXO — 2026

Deterministic multi-agent execution — bounded, auditable, on your infrastructure.

SaaS · Hybrid · On-Prem · Air-Gapped
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Start your
pilot build

Tell us what you're trying to automate or govern. We'll map the right pathway and next steps for your team.

What happens next
01A 30-min fit call — we tell you honestly if you're not a fit yet.
02We connect read-only and produce your Readiness Index baseline.
03One governed mission runs on a real repo — measured against your criteria.
Deterministic Execution Unified Data Fabric Bounded Agents One-Click Rollback
Built for Financial Services E-Commerce & Retail Healthcare

Autonomous agents.
Provable control.

The execution harness between your business intent and your AI agents. Bounded, auditable, reversible deployable from SaaS to fully air-gapped.

One harness between your business intent, your agents, and enterprise truth. Mandates enter in plain English; governed execution happens at the core.

A runtime stack that sits above your legacy structures and turns raw information into predictable execution — deployable from managed SaaS to fully air-gapped.

Unified Data Fabric

Continuously ingests your streams, logs, and relational systems into one governed context graph the single source of truth .

Requirements Loop

Captures strategic goals in plain English and maps them to technical constraints, validation models, and tests.

Runtime Orchestration

Decomposes objectives into bounded micro-tasks run by specialized workers inside rigid, deterministic state machines — a gate at every handoff.

Execution Engine

Scores cost, risk, and latency on every directive and routes it down the cheapest safe pathway — a metadata update or a bounded coding mission.

Statistics

Quantifiable control across every deployment. We measure success by what never reaches production broken.

See the Loop
~0%

of changes resolved without generating code

0%

of agent actions sandboxed, logged, and reversible

0

deployment topologies, SaaS to fully air-gapped

0ms

median deterministic gate latency

The Loop

Bounded logic, on one canvas

Agents don't call each other in the open. Every objective decomposes into bounded micro-tasks that pass through a deterministic state-machine gate at every handoff — so a hallucination can't be inherited downstream as truth.

AGENT MODE mission: q3-pricing-rollout HARNESS ACTIVE
Intent
Ground · Fabric
GATE
AI Agent
GATE
Sandbox
Run
Refine
REFINE FEEDS BACK INTO THE FABRIC — THE LOOP CLOSES

Deterministic Guardrails

Rigid state machines mean no stage can pass an unverified output to the next.

Bounded Micro-tasks

Objectives split into small, isolated units — inter-agent comms stay contained.

Circuit Breaker

One click freezes the cluster and rolls back to the millisecond before the AI acted.

Immutable Audit

Every action, merge, and revision logged — tamper-evident, OTEL-native.

Industries

Built where breaking things is a felony

Production-grade delivery where performance, compliance, data security, and operational reliability are non-negotiable.

FIN
//2026

Financial Services

Compliant agents with immutable audit trails, strict policy enforcement, and SOC 2-aligned controls built in.

RET
//2026

E-Commerce & Retail

High-velocity pricing, catalog, and promotion changes shipped safely at peak scale — governed metadata updates instead of risky code pushes.

HLT
//2026

Healthcare

HIPAA-ready workflows, absolute clinical data isolation, and comprehensive lineage tracking.

TEL
//2026

Telecom

Agents that scale with massive network infrastructure and high-throughput streaming telemetry.

Readiness & Cost

Optimized for control

"Automation-ready" is a number, not a feeling. OneXO scores every repository and data asset across 100+ signals, routes ~90% of changes as governed metadata updates, and shows the spend before a token is burned.

Readiness Index
L3
Org score · 114 assets tracked
73 SIGNALS 100+
14 below threshold▲ trending up
Gate Latency
313ms
Median · validation gate
214/214 checkspassed
Fabric Pathway
92.4%
Changes with zero code generated
92% VIA FABRIC PATHWAY
1,284 directives−38% budget
How It Works

Engineered for autonomy

Four moves, one governed path from sentence to system. Each stage hands off through a validation gate — no output moves forward until it's proven against the fabric.

discovery.onexo
→ 12 bounded micro-tasks mapped
01 / DEFINE

Intent becomes spec

Blueprint maps your requirement — de-risked, costed, sequenced — from your actual inputs, not a guess at your intent from a Slack thread.

GROUNDED IN THE FABRIC
Our Approach

Built for boards, not just builders

Security, compliance, and cost control aren't add-ons. Every module ships enterprise-ready from day one.

Fully Air-Gapped

Deploy entirely on your infrastructure with zero external network dependency. Only an in-perimeter LLM is required.

RBAC Hierarchy

Org → division → team → agent. Every worker inherits scoped rights from the same tree your people use.

Permission-Aware

Retrieval never surfaces anything a user couldn’t already see — it inherits your source-system access at query time.

Cost Controls

Per-team and per-mission token budgets with real-time tracking and hard ceilings. Spend is a policy, not a surprise.

No-Train Terms

Contractual, not a marketing claim: your code and data are never used to train any underlying model.

OTEL-Native Audit

First-class OpenTelemetry support and an immutable, millisecond-resolution audit trail across every agent action.

Integrations

Your tools keep working. OneXO reads them agent-natively.

FAQ

Common inquiries

Everything your team will ask before booking a pilot. Can't find an answer?

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An execution harness between your business intent and your AI agents. It turns plain-English mandates into bounded, auditable agent work — governed by one context fabric, executed inside deterministic guardrails, reversible with one click.

No. It removes boilerplate, tests, and glue — not judgment. Every change is reviewed by your team, and the escape hatch to real code is always open.

A copilot generates and walks away. OneXO closes the loop: requirements generate the build, production feeds back, and the spec refines before drift sets in — all behind deterministic gates.

Nowhere they don’t already live. Retrieval is permission-aware, terms are no-train, and the memory layer runs on your own infrastructure.

No — nothing merges that doesn’t pass the spec-conformance gate. That’s not a promise, it’s a checkpoint your team can see.

Never. No-train terms are contractual, not a marketing line — your code and data are not used to train any underlying model.

On outcome, not tokens or seats — a transparent Fabric + Compute utility model. Roughly 90% of changes resolve as governed metadata updates, so spend doesn’t balloon.

The execution engine spends compute only where it buys outcome. Coding missions fire only when new microservices or raw performance strictly demand them.

Four: managed SaaS, hybrid (cloud plane + your compute), on-prem, and fully air-gapped. The same architecture deploys unchanged across all four.

Yes. In an air-gapped topology the only external dependency is an LLM inside your perimeter — no traffic ever leaves your network.

Proof of Value

Prove it in 14 days

No rip-and-replace. We connect read-only, run one governed mission with the circuit breaker armed, and measure against criteria your team defines up front.

CONNECT READ-ONLY · CIRCUIT BREAKER ARMED · NO WIDER COMMITMENT