Multi-Agent Operating System
A Multi-Agent operating system — task scheduling, sandbox isolation, memory and model assembly converged into one enterprise OS, with pre-built agents for office, finance, risk, marketing and ops.
Key Capabilities
Four key capabilities required to put this product into production.
Single → Multi-Agent
DAG / event-driven / long-running orchestration with visual business design.
Sandbox & Permission Isolation
Per-agent sandbox with role-based permissions — over-reach auto-blocked.
Memory & Model Assembly
Layered short/long-term memory, models dynamically assembled per task difficulty.
Out-of-the-Box Agents
Office, finance, risk, marketing and ops agents — deploy and ship.
Representative Scenarios
Investment research collaboration · group-finance automation · risk & compliance · marketing content pipelines · IT/SRE smart ops.
Download Solution Playbook
Generate a printable white paper for this module
Opens a playbook page with key capabilities, scenarios, outcomes, specs and case digest — use the browser's Save as PDF to distribute.
Case Studies
Filter anonymous scenario illustrations by industry, scenario and scale. Metrics and inferred customer, duration, stack and deployment metadata are unverified, not established customer outcomes.
Finance
1 caseIllustration · metrics unverified
Bank ops agent matrix
20+ standard agents cover front, middle and back office.
- Customer
- Banks / brokers / insurers
- Duration
- 6–8 weeks
- Tech stack
- Multi-agent
- Deployment
- Private deployment
General
1 caseIllustration · metrics unverified
Marketing agent campaigns
Strategy, creative, delivery and review agents close the loop.
- Customer
- Top-tier Cross-industry enterprises
- Duration
- 6–8 weeks
- Tech stack
- Multi-agent
- Deployment
- Hybrid cloud
Retail
2 casesIllustration · metrics unverified
Group legal contract matrix
Drafting, review, negotiation and archival agents chained; key clauses auto-compared.
- Customer
- Top-tier Chain retail & e-commerce brands
- Duration
- 10–16 weeks
- Tech stack
- Multi-agent
- Deployment
- Hybrid cloud
Illustration · metrics unverified
Global supply-chain orchestration matrix
Planning, procurement, logistics and customs agents collaborate across time zones.
- Customer
- Multinational Chain retail & e-commerce brands
- Duration
- 6–8 weeks
- Tech stack
- Multi-agent
- Deployment
- Hybrid cloud
Specs & Fit
Core components | Scheduler / Sandbox / Memory / Assembly |
Pre-built agents | 20+ industry templates |
Governance | Permissions / audit / replay |
Extensibility | SDK / REST / MCP |
FAQ
Difference from single-agent frameworks?
Built-in scheduler, sandbox, memory and assembly — production-grade, not a demo toolkit.
How is agent runaway prevented?
Sandbox + permission allowlist + audit replay; key steps allow human takeover.
Out-of-the-box agents?
20+ templates for office, finance, risk, marketing, ops — extensible.
Quantified Outcomes
We only ship products that deliver ROI — here are the measurable metrics after enterprise rollout.
85%+ first-pass success on complex tasks, 3×–10× per-person throughput, new-scenario time-to-live from months to weeks.
Defined scope. Accountable delivery.
Staged pricing & acceptance
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Customer business data stays off-chain
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Clear contracting & delivery responsibility
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.