# Mojo Factory

> Mojo Factory is an agentic software engineering platform from TechMojo Solutions Private Limited. It coordinates specialist AI agents inside a governed engineering harness: approved behaviour (BDD scenarios) defines what may change, an architecture agent defines where it may change, and evidence the factory produces itself decides whether a change ships.

## Key facts

- Owner and builder: TechMojo Solutions Private Limited (https://techmojo.com/), offices in Hyderabad, Dubai and San Francisco.
- Website: https://mojofactory.ai/
- Category: agentic software engineering / AI software factory for engineering teams.
- Agents: Architect, Lead, Execution, Verification, QA and DevOps, each with one role and limited paths. No agent grades its own work.
- Lifecycle: define behaviour, protect architecture, coordinate implementation, verify and decide. Failed checks return to the responsible agent with bounded retries and a circuit breaker; every attempt is audited.
- Four pillars of evidence: functional (BDD scenarios pass on the running system), design (architecture conformance), implementation (code correctness, resolved review findings, tests that can fail), system assurance (regression, security, performance, resilience).
- Governed context: Company, Client, Project and Ticket layers; least context by role; owned and approved; versioned and fingerprinted; each decision records the context versions it used.
- Sovereignty: one isolated factory per client, in the client's VPC, private cloud or on-premises; no data pooled across clients; client-owned keys; policy enforced outside the model.
- Model fabric: work routed by capability to client-approved models; models replaceable without rewriting workflows. Factory Core + Technology Pack + Client Pack = Client Factory.
- Human intervention modes: Observer, Advisor, Actor, Adaptive.

## Questions and answers

### What is Mojo Factory?

Mojo Factory is an agentic software engineering platform from TechMojo Solutions Private Limited. It coordinates specialist AI agents inside a governed engineering harness, so approved behaviour, protected architecture and evidence the factory produces itself decide whether a code change ships.

### How is Mojo Factory different from an AI coding assistant?

A coding assistant generates code and reports success. Mojo Factory limits every change to approved BDD scenarios and architecture boundaries, gives each agent one role, never lets an agent grade its own work, and accepts a change only when functional, design, implementation and system-assurance evidence all agree.

### How does Mojo Factory handle company context?

Context is kept in Company, Client, Project and Ticket layers. Each agent receives only the context its job needs, every layer has owners who approve changes, and context is versioned and fingerprinted so each decision records exactly which version it relied on.

### Where does Mojo Factory run, and where does my code go?

Each client gets an isolated factory that runs inside their own boundary: their VPC, private cloud or on-premises. Data is never pooled across clients, encryption keys are client-owned, and context is sent only to the models the client approves for each job.

### Which AI models does Mojo Factory use?

Work is routed by capability to the models each client approves, balancing quality, latency and cost. Models can be replaced without rewriting workflows.

### Can people step in during a change?

Yes. People can observe, advise, take on a step themselves under the same gates, or let evidence and risk decide when a person is brought in.

### Who builds Mojo Factory?

Mojo Factory is owned and built by TechMojo Solutions Private Limited, with offices in Hyderabad, Dubai and San Francisco.

## Contact

- Talk to TechMojo: https://techmojo.com/contact/