ZLEAP · ENTERPRISE AGENT OS

Enterprise Agent OS

Connect data. Share Context. Orchestrate Agents.

Bring knowledge, memory, native Agents, and local Agents into one enterprise system.

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AGENT OS

Data, knowledge, and Agents.
One operating system.

From incoming data to completed Agent work, every step runs through a shared Context and orchestration layer.

  1. 01

    Connect enterprise data

    Continuously ingest live systems and static documents.

  2. 02

    Build knowledge

    Turn scattered content into searchable, source-linked knowledge.

  3. 03

    Share Context

    Combine knowledge and cross-session memory for every Agent that needs it.

  4. 04

    Orchestrate Agents

    Run Zleap native Agents and connect local Agents such as Codex and Claude Code.

  5. 05

    Publish reports

    Agents publish readable work reports that teams can inspect and continue from.

THREE-LAYER INFRA

Three infrastructure layers
beneath the Agent OS

Models, Context, and the runtime framework keep enterprise Agents working reliably over time.

  1. 03HARNESS INFRA

    Agent runtime framework

    Isolates Workspaces, tools, Context, and task state.

  2. 02CONTEXT INFRA

    Shared working context

    Provides knowledge and memory consistently to every Agent.

  3. 01LLM INFRA

    Models and inference

    Coordinates local and cloud models across security, cost, and performance.

01

LLM INFRA

Controlled coordination
across local and cloud models

Local models, inference optimization, and policy routing balance security, cost, and task capability.

  • Local models
  • Inference optimization
  • Policy routing
  • Edge-cloud coordination
02

CONTEXT INFRA

Knowledge and memory,
shared as Context

Connect enterprise data, form searchable knowledge, and combine it with cross-session memory for different Agents.

  • Live data
  • Static documents
  • Enterprise memory
  • Source verification
A new SOTA for RAGBest on 8/9 Recall metrics · Avg Recall@2 79.30% · Recall@5 88.18%
03

HARNESS INFRA

Zleap's own
Agent runtime framework

Zleap-Agent uses the Workspace as its runtime boundary, isolating tools, Context, and task state for native Agents.

  • Workspace isolation
  • Tool boundaries
  • Task state
  • Native Agents

REAL PRODUCT

A complete product, not a concept

Data connections, knowledge retrieval, Agent management, orchestration, and work reports live in one console.

01

CONNECT

Connect live data and static material

Search, RSS, web pages, code platforms, enterprise messaging, and APIs keep the knowledge base current.

02

KNOWLEDGE

Search knowledge and verify the source

SAG turns enterprise material into searchable knowledge, with results and answer citations linked back to the original content.

03

HARNESS RUNTIME

Run native Agents through Workspaces

The Harness manages Workspaces, models, tools, skills, Memory, and task state. Above it, the Agent OS connects these runtime units with external local Agents for orchestration.

04

REPORT

A report for every completed Agent task

Agents publish work reports automatically. Teams inspect results, follow progress, and continue the discussion with permission controls.

FROM SAAS TO APPLIANCE

Start quickly.
Deploy for production.

Begin with SaaS, then deliver local compute, models, the Agent OS, and all three infrastructure layers as one appliance for production.

01 · START

Start with SaaS

Sign in to connect data, build knowledge, and orchestrate Agents.

02 · DEPLOY

Deploy the appliance

Bring the complete system on site for local control and reliable operation.

LOCAL AGENT APPLIANCE

Deliver the Enterprise Agent OS
on site

For any enterprise that needs reliable Agents in production, combining compute, models, the Agent OS, and all three infrastructure layers.

Configured for enterprise scale, model, workload, and deployment requirements

Book an appliance demo
01

Keep data local

Enterprise knowledge, memory, tasks, and reports stay in your environment.

02

One integrated system

Compute, models, Agent OS, and three-layer infrastructure arrive ready to operate together.

03

Predictable cost

Run frequent workloads on local models for more stable operating costs.

04

Edge-cloud coordination

Route work between local execution and cloud models under task and permission policies.

CUSTOMER PROOF

Already operating on site

Only deployed and verifiable customer work is presented here.

CASE 01

A leading home-appliance manufacturer

Private manufacturing knowledge base

SAG turns a large body of manufacturing standards, specifications, and professional material into a privately deployed enterprise knowledge base.

  • Large manufacturing standards corpus
  • Answers link back to source documents
  • Private enterprise deployment
CASE 02

A defense manufacturer

An Agent work loop on the appliance

The Agent OS runs locally on the appliance, where Agents aggregate multi-source business information and project progress into encrypted reports.

  • Automatic Agent reports
  • End-to-end encrypted delivery
  • Management follow-up in report Context

ABOUT ZLEAP

About Zleap

Zleap is an AI infrastructure company
for enterprise Agents.

Built around the Agent OS and its LLM, Context, and Harness infrastructure, our products connect enterprise data and knowledge, share Context across Agents, and orchestrate Agent work through SaaS, appliances, and private deployments.

READY TO ORCHESTRATE

Start using the
Enterprise Agent OS

Connect your data so knowledge, memory, and Agents can work together in one system.