SOFTKITSoftware Factory

Governed AI software production

From intent to
verified software.

SSF coordinates specialized AI agents, deterministic gates and human authority into one auditable path from requirement to production-ready code.

Explore the factory See the architecture
01Contract-first execution
02Independent review
03Evidence at every gate

The SoftKit AI ecosystem

AI as a platform capability.
Software delivery as a governed system.

SoftKit separates inference, intelligence, administration and software production. Applications consume stable capabilities—not models or runtimes—while SSF turns authorized work into traceable deliverables.

05Products & applicationsConsume capabilities
04Admin ConsoleAdministers and observes
03Software FactoryBuilds verified software
02AI FoundationRoutes, plans and reasons
01AI InfrastructureExecutes inference
01 — 04

Why a software factory

Coding faster is easy.
Shipping safely is the hard part.

AI agents multiply delivery speed—and the risk of conflicting changes, assumed approvals, opaque costs, weak provenance and premature integration. SSF makes governance part of execution, not a checklist added afterwards.

Concurrent change
Authority gaps
Unverified output
Provider lock-in

One operating model

The control plane for
agentic software delivery.

01

Contract-based Work Packages

Every unit of work carries an immutable baseline, bounded scope, dependencies, path ownership, acceptance criteria, validators and stop conditions.

02

Provider-neutral multi-agent orchestration

Specialized agents are selected by capability, eligibility, policy and cost—without making a model name part of the business contract.

03

Isolated execution lanes

Immutable baselines, non-overlapping ownership, isolated worktrees and least-privilege credentials make parallelism predictable.

04

Gates with real authority

Deterministic checks advance automatically. Architecture, scope, risk, freeze and deployment decisions remain explicitly human.

05

Evidence & no-replay recovery

Tasks, executions, commits, reviews and decisions stay correlated. Recovery reconciles completed evidence before retrying.

06

Control, telemetry & accountable cost

A unified Control Center exposes lifecycle, readiness, findings, evidence, Human Authority requests, execution telemetry and token accounting.

The production path

One continuous chain of proof.

  1. 01Authorized intentObjective, scope, baseline
  2. 02WP graphDependencies and ownership
  3. 03Isolated executionSpecialized agent lanes
  4. 04Validate & reviewIndependent, bounded loops
  5. 05Controlled integrationSerialized canonical target
  6. 06Evidence & closureAuditable outcome

Architecture

A control plane above agents.
Not another agent.

SSF owns the Task and Work Package graph, scheduling, lifecycle legality, gate evaluation, lane policy, evidence and integration leases. AI Foundation supplies model-independent capabilities. Git and CI remain external authorities.

  • Kubernetes-native and infrastructure-independent
  • Replaceable providers, models and runtimes
  • Structured events, logs, metrics and provenance
  • Fail-closed boundaries and least privilege

Governance without gridlock

The right decision
at the right authority.

01 / AUTOMATION

Deterministic

Baseline, dependency graph, ownership, legal state transitions, tests and evidence presence.

02 / AGENT

Judgment

Implementation, analysis, independent review, finding classification and diagnosis.

03 / HUMAN

Reserved

Architecture, scope, freeze, risk exceptions and deployment remain Human Authority decisions.

The outcome

“Not more generated code. More software that can be explained, verified, integrated and operated with confidence.”
Safe throughputFull traceabilityResilient recoveryCost accountability

SOFTKIT SOFTWARE FACTORY

Make AI delivery
production-grade.

One governed system for people, agents, code and evidence.

Back to the beginning