Company Profile XploraKōdo Platform
Enterprise digital twin (MAaaS)

Swarm Factory

Company Cloning: the Enterprise Digital Twin

Turns your org charts, SOPs, ChatOps history and codebases into a 24/7 AI digital twin of your company. Xplora Kodo × Swarm Agency.

Explore company cloning See how it works
  • 24/7digital twin of your operations
  • 90%less LLM token overhead (SCMS)
  • Level-4semantic firewall
Illustration of a holographic organisation chart of AI agents in a modern office

What is Swarm Factory?

Swarm Factory is a Multi-Agent as a Service platform from Xplora Kodo Company and Swarm Agency that "clones" a company: it ingests org charts, SOPs, ChatOps history, codebase patterns and database schemas, then instantiates matching AI agents that run as a 24/7 digital twin of the organisation. Every agent works under a cryptographic E-Contract, and high-risk actions wait for explicit human approval.

Product
Swarm Factory — Company Cloning
Category
Enterprise digital twin (MAaaS)
Built by
Xplora Kodo Company (XKCo), Kathmandu
Updated
The problem

Fragmented AI tools forget, leak and act unchecked

Most enterprises run isolated generative-AI point tools. They are stateless, expensive and unsafe when left running without oversight.

  • Stateless

    Chats are forgotten, so institutional knowledge never compounds — and walks out the door with staff turnover.

  • Expensive

    Dumping whole context windows into every call inflates token costs.

  • Unchecked

    AI without guardrails poses real liabilities: unapproved emails, erroneous financial transactions and data leaks.

Illustration of a split red and blue neural shield between server racks
The solution

"Company Cloning" — your Enterprise Digital Twin

Swarm Factory moves you from fragmented AI utilities to an integrated, autonomous and self-governed organisational ecosystem.

  • Ingest the whole context

    Organisational charts, SOPs, historical ChatOps data, codebase patterns and database schemas.

  • Replicate it digitally

    The Swarm Factory translates those sources into a virtual, real-time map of your operations.

  • Run the digital twin swarm

    The map dynamically instantiates matching AI agents that act as a 24/7 digital twin of the company.

  • Preserve institutional memory

    Knowledge stays secure, operational and executable — even during human turnover.

Diagram: a corporate organisation mirrored into a digital-twin organisation of AI agent swarms behind a Level-4 neural firewall
How it works

From org chart to governed agent workforce

  1. Ingest & map

    Your organisational context is ingested and schema-mapped into a real-time map of how the company actually works.

  2. Fabricate agents with cognitive profiles

    The fabrication engine (run_swarm_factory.py) generates agents with explicit IQ baselines, role-specific tool suites and role-based isolation.

  3. Bind every agent to an E-Contract

    Cryptographic E-Contracts hardcode token budgets and deliverables; good work earns resource priority, repeated failure triggers throttling or re-fabrication.

  4. Gate high-risk actions

    Anything tagged [RISK_LEVEL: HIGH] — board emails, code deployments, financial execution — is locked until a manager supplies a cryptographic human_approval_token.

  5. Learn permanently

    Learnings are committed to the Immutable Provenance Vault so the swarm builds collective intelligence over time.

Capabilities

Enterprise-ready middleware under the hood

  • Cognitive profiles

    No flat, generic prompting: lightweight models for fast triage, heavy reasoning models for deep audits, and custom tools per role (e.g. Agent_NetSec, Agent_DBA).

  • Cryptographic E-Contracts

    Token limits, deliverables, rewards and penalties enforced algorithmically for economic predictability.

  • Level-4 "Neural Firewall"

    Agent_NetSec intercepts all inter-agent traffic to redact PII and block cross-domain context bypasses.

  • Secure Token Economy (SCMS)

    The Swarm Context Management System cuts LLM token overhead by 90% with Just-In-Time Indexing and cryptographic artifact hashes.

  • Real-time business intelligence

    Agents use Model Context Protocol (MCP) clients to scan markets and competitors, and Agent_Executive_Liaison drafts "Strategic Pivot Proposals" for the board.

  • Immutable Provenance Vault

    A persistent PostgreSQL "Hippocampus" that commits learnings permanently.

Architecture

Production architecture

Backed by microservices, a central Streamlit administration panel (dashboard.py) and a high-throughput FastAPI server (api_server.py). Production swarm factories deploy directly inside secure client virtual private clouds (VPCs).

  • Agent fabrication

    run_swarm_factory.py generates, runs and monitors your custom digital workforce.

  • Governance

    E-Contracts, a mental_model.json incentive loop and automated teardown for agents that exceed limits or violate scope.

  • Memory

    Immutable Provenance Vault on PostgreSQL plus a vector database for research.

Diagram of cryptographic E-Contracts: token budget gauge, automated incentive loop and threat isolation
Diagram of cryptographic E-Contracts: token budget gauge, automated incentive loop and threat isolation
Use cases

A force multiplier, not a replacement

The digital twin swarm works alongside your people as their most advanced support layer.

  • Continuous process optimisation

    Agents scan internal work logs, find friction points and compliance bottlenecks, and suggest streamlined SOP updates.

  • Interactive human coaching

    Real-time training materials, step-by-step guides and Socratic mentoring for junior staff, generated from your own data.

  • Board-level market intelligence

    Autonomous scans of market verticals, competitors and pricing indices, turned into proposals for the human board.

  • Hybrid elastic workforce

    Japanese companies can instantiate remote digital AI experts through secure multi-tenant container workstations, bypassing immigration backlogs.

Illustration of a woman and an AI robot working side by side at a desk
Why MAaaS

Legacy generative AI vs. the MAaaS platform

Evaluation axis Legacy generative AI Swarm Factory MAaaS
State & memory Stateless (chats are forgotten) Persistent PostgreSQL "Vault"
Data cost Context-window dumping (expensive) JIT token optimisation (SCMS)
Security Zero input validation Level-4 security & semantic firewalls
Performance Best-effort output E-Contract budgets & reward/penalty loops
Business value Isolated point tools Digital-twin "Company Clone"
Outcomes

Why it pays off

  • 90% reduction in LLM token overhead via SCMS
  • 24/7 digital twin operation
  • Human-gated every [RISK_LEVEL: HIGH] action waits for approval

Figures as stated in the Swarm Factory deck (Sept 2026).

Engagement models

Three ways to engage

  • Company Cloning & setup

    Upfront fee

    High-touch organisational ingestion, schema mapping and initial agent fabrication.

  • MAaaS platform subscription

    Tiered licence

    Access to the core dashboard, API servers and system SRE agents.

  • Consumption & commission

    Usage-based

    A percentage surcharge on agent-managed token budgets under contract, scaling with the twin's throughput.

Go-to-market

Xplora Kodo Company × Swarm Agency

A strategic alliance blending advanced multi-agent system design with Xplora Kodo's enterprise networks, starting with corporate pilots in the US and Japan tech and audit corridors.

  1. Step 1

    Establish the joint venture

    Formalise the go-to-market structure between the development teams and Xplora Kodo.

  2. Step 2

    Targeted executive showings

    Private platform demonstrations for high-tier business targets.

  3. Step 3

    Scale the swarm

    Deploy production-grade Swarm Factories inside secure client VPCs.

Presenters

Who is behind Swarm Factory

  • Binaya Rawal

    CEO & Founder, Xplora Kodo Company

    Cross-border enterprise networks and proof-of-concept partnerships.

  • Swarm Agency

    Strategic alliance partner

    Advanced multi-agent system design and the Swarm Factory engine.

Contact: [email protected]

FAQ

Swarm Factory questions, answered

Can't find what you need? Ask our team.

What is "company cloning"?

Company cloning creates an Enterprise Digital Twin: Swarm Factory ingests your org charts, SOPs, ChatOps history, codebase patterns and database schemas, maps them into a real-time model of your operations and instantiates matching AI agents that run 24/7.

Does Swarm Factory replace employees?

No. The digital twin works alongside your people as a force multiplier — it takes over low-leverage repetitive work, suggests SOP improvements and coaches junior staff so humans can act as high-level orchestrators.

How are risky AI actions controlled?

Any action tagged [RISK_LEVEL: HIGH] — external board emails, code deployments, financial execution — is locked until a human manager supplies a cryptographic human_approval_token. A Level-4 semantic firewall (Agent_NetSec) also redacts PII from inter-agent traffic.

What is an E-Contract?

Every fabricated agent operates under a cryptographic E-Contract that fixes its token budget and deliverables. Efficient work earns higher resource priority; repeated failures, overspending or boundary violations trigger throttling or automated teardown and re-fabrication.

Where does Swarm Factory run?

Production-grade Swarm Factories are deployed directly inside secure client virtual private clouds (VPCs), backed by a FastAPI server, a Streamlit admin dashboard and a PostgreSQL Provenance Vault.

Who builds Swarm Factory?

It is delivered through a strategic alliance between Xplora Kodo Company (XKCo) and Swarm Agency.

Swarm Factory

Ready to see Swarm Factory in your organisation?

Tell us about your team and goals — the XKCo product team will follow up with a tailored walkthrough.

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