AI-native software engineering platform

Turn intent into
verified software.

TechMojo Software Factory coordinates specialist agents inside a deterministic engineering harness. BDD defines the functional boundary. An Architecture Boundary Agent protects the system design. Four evidence gates decide whether every change is safe to proceed.

Explore the factory See the process

Your cloud · Your code · Your models · Your approval policy

MISSION 0241Settlement exception workflow

Running

BOUNDARYArchitect Agent

COORDINATIONLead Agent

BUILDExecution Agent

EVIDENCEVerification Agent

SYSTEMQA Agent

DELIVERYDevOps Agent

M SHARED STATE Change Mission Behaviour × architecture × policy

The factory difference

AI coding is not a software factory.

A coding assistant can produce code. A factory must preserve intent, respect architecture, coordinate specialist work, prove quality and operate within enterprise authority.

FACTORY CONTRACTApproved behaviour defines what may change. Architecture defines where it may change. Evidence determines whether it may proceed.

UNBOUNDED AI CODING

Prompt→Generated code→Human burden

Replace speed without proof

MOJOSOFTWARE FACTORY

● Governed

FUNCTIONAL BOUNDARYBDD Behaviour Contract

DESIGN BOUNDARYArchitecture Contract

ArchitectLeadExecutionVerificationQADevOps

RELEASE AUTHORITYFour-pillar evidence gatePolicy decides: automatic or human

Complete engineering system

Everything required to move from AI assistance to governed software production.

The Factory combines functional contracts, architecture control, multi-agent delivery, deterministic verification and sovereign intelligence in one operating model.

BDD-first delivery

Gherkin scenarios define functional boundaries before coding and become executable acceptance evidence after implementation.

Architecture as an agent

The Architecture Boundary Agent identifies the permitted change surface and verifies APIs, data ownership and dependencies.

Multi-agent engineering

Six specialist agents communicate through structured plans, evidence and shared Change Mission state—not loose chat.

Four-pillar verification

Behaviour, architecture, code correctness and system verification must produce evidence before release authority is granted.

Sovereign execution

Code, context, credentials, indexes and agent execution remain inside the client’s isolated trust boundary.

Replaceable model fabric

Route each task to the best approved model for quality, latency and cost—then swap models without rebuilding workflows.

Multi-agent engineering team

Six specialists. One shared mission.

Agents exchange structured context, decisions and evidence through the Change Mission. The Lead Agent coordinates; every specialist retains a defined authority boundary.

Architect Agent

Reads intent and system context, defines architecture boundaries, proposes API or schema deltas and raises ADRs when boundaries must change.

OUTPUT · Architecture Contract

Lead Agent

Combines the Behaviour and Architecture Contracts, decomposes work into scenario-bounded tasks and coordinates specialist handoffs.

OUTPUT · Change plan and task graph

Execution Agent

Implements bounded code changes inside isolated workspaces using only approved context, models and engineering tools.

OUTPUT · Code, unit tests and trace

Verification Agent

Runs the evidence plan across all four pillars, attributes failures and routes precise findings into bounded self-correction loops.

OUTPUT · Verification evidence

QA Agent

Exercises system behaviour, regression, integration, performance, security and resilience against the approved risk profile.

OUTPUT · System assurance evidence

DevOps Agent

Creates commits and PRs, drives CI/CD and performs permitted release actions only after evidence and autonomy policy allow.

OUTPUT · Auditable delivery action

A2A COMMUNICATION FABRIC Shared state↔Structured messages↔Evidence handoffs↔Recovery signals

Change lifecycle

From intent to release—inside two boundaries.

01
Define behaviour
The BDD Agent converts product intent into approved executable scenarios and explicit out-of-scope behaviour.
02
Protect architecture
The Architecture Boundary Agent determines where the change may occur and which contracts must remain intact.
03
Coordinate implementation
The Lead Agent compiles the Change Mission and dispatches bounded work to Execution and specialist agents.
04
Verify and decide
Evidence passes through four pillars. Policy then proceeds automatically or requests optional human intervention.

CHANGE MISSIONDurable orchestration● Active

BEHAVIOUR CONTRACTBDD scenariosWhat must change

ARCHITECTURE CONTRACTBoundary rulesWhere it may change

↓

LEAD + EXECUTION AGENTSPlan and implement bounded change

Scoped tools

↓

1BDDFunctional

2ArchitectureConformance

3CodeCorrectness

4SystemAssurance

↓

ALL EVIDENCE PASSESAutonomy policy decides

Auto proceedorHuman option

Failures return to the responsible agent · bounded retries · circuit breaker · full audit trail

Evidence before authority

Four pillars determine whether a change may proceed.

Verification is not an agent opinion. Each pillar invokes deterministic engineering tools, produces machine-readable evidence and applies client-defined thresholds.

01FUNCTIONAL BOUNDARY

BDD Functional Verification

Execute approved Gherkin scenarios and map every result back to the original requirement.

Scenarios · acceptance · edge cases · traceability

02DESIGN BOUNDARY

Architecture Conformance

Confirm service ownership, API contracts, data boundaries, dependency rules and architectural NFRs.

APIs · schemas · dependencies · ownership

03IMPLEMENTATION QUALITY

Code Correctness

Compile, type-check, lint and run unit tests while enforcing maintainability and engineering standards.

Build · types · lint · unit tests · quality

04SYSTEM ASSURANCE

System Verification

Prove that the complete system remains safe, secure, performant and reliable after the change.

Regression · integration · performance · security · resilience · coverage

Sovereign by architecture

Your code stays inside.
Your intelligence stays yours.

TechMojo deploys an isolated execution plane for every client. Source code, context, credentials, indexes, prompts, model traffic and engineering evidence stay within the client’s chosen trust boundary.

✓Client VPC, private cloud or fully on-premises
✓No pooled code, embeddings, memory or learning across clients
✓Client-owned encryption keys, identities and credentials
✓Policy and approval enforced outside the model

MOJO CONTROL PLANEProduct versions · policies · fleet health

NO CLIENT CODE

Deploy configuration

CLIENT TRUST BOUNDARYSovereign Factory Runtime

ISOLATED

CONTEXTRepositories + knowledge

AGENTSPrivate execution

MODELSApproved endpoints

TOOLSScoped credentials

Code · indexes · prompts · evidence · audit remain inside

Model fabric

Use many models. Depend on none.

Agents request capabilities rather than model names. TechMojo’s sovereign model gateway routes every task to the best approved model using client benchmarks, quality thresholds, latency and cost.

01Swappable by design

Change providers, private endpoints or model families without rewriting agent workflows.

02Route by task

Use deep reasoning where it matters and efficient models where the work is bounded.

03Optimize accepted outcomes

Measure cost per verified, accepted change—not merely cost per token.

MOJO MODEL ROUTERCapability-based routing

● Policy active

TASK CAPABILITYComplex system reasoningArchitect Agent

→

ROUTING POLICYQuality firstResidency · risk · latency · cost

→

SELECTED CLASSPrivate reasoning modelPremium only where needed

Private modelFrontier reasoningCode-specializedEfficient small modelDeterministic tools

MODEL CONTRACTSwap the endpoint. Preserve the workflow, evidence and policy.

Designed for many enterprises

One factory core. Configured for every client.

Client differences become versioned packs and providers—not bespoke forks of the product.

01MOJO PRODUCT

Factory Core

Change Mission, agent runtime, four-pillar evidence, governance and evaluation.

02REUSABLE ACCELERATOR

Technology Pack

Java, .NET, Node, data, mainframe, cloud or security-specific workflows and tools.

03CLIENT CONFIGURATION

Client Pack

Architecture, BDD conventions, connectors, models, policies, tests and approvals.

∞ISOLATED DEPLOYMENT

Client Factory

A sovereign software factory without creating a separate product fork.

Human intervention is configurable

Authority follows policy—not hype.

Choose how far the Factory may proceed. The same workflow can recommend, implement, open a PR or release automatically according to risk, confidence and client governance.

ADAPTIVE MODEEvidence and risk decide

Low-risk, high-confidence changes proceed automatically. Boundary changes, ambiguity or policy exceptions request human intervention.

One sovereign foundation beneath the Factory.

Software Factory inherits its context, multi-agent runtime, model gateway, tool gateway, identity, policy, evaluations and observability from TechMojo Intelligence Fabric.

Explore Intelligence Fabric

Build software at AI speed—without surrendering engineering control.

Start with one bounded workflow. Prove accepted outcomes. Expand through the same sovereign factory, agent and verification foundation.

Discuss your software factory Review the four pillars

Turn intent intoverified software.