Building tools teams trust to ship quality software.
Zof helps engineering organizations test changes systematically, review failures with evidence, and release with confidence.
Our Mission
Software powers everything - from healthcare systems to financial markets to the infrastructure we depend on daily. When software fails, the consequences are real: lost revenue, damaged trust, and sometimes much worse.
We believe these failures are preventable, and that the problem is changing shape. Frontier models and coding agents now generate software, write tests, modify infrastructure, and take consequential actions. The constraint is no longer producing software. It is verification: knowing what a change can affect, demanding the evidence, and deciding whether it may proceed.
Our mission is to be the independent verification and control layer between AI and production, so that software built by people and machines earns the right to run.
Understand the consequence of every change.
The System Graph continuously models services, APIs, dependencies, infrastructure, agents, models, policies, evidence, ownership, and history, so Zof knows what a proposed action could affect before it is allowed to happen.
CONSEQUENCE
Blast radius
Affected systems, criticality, and controls resolved per change.
TEMPORAL
What changed, when, by whom
History, evidence, and decisions stay queryable.
SUBSTRATE
One graph, whole loop
Verification, evidence, and control read the same model.
of verification evidence retained in your environment
Verification domains, from unit tests to compliance and resilience
What Makes Zof Different
System Graph
Zof builds a machine-readable understanding of the enterprise: services, APIs, dependencies, infrastructure, agents, models, policies, evidence, ownership, and history. That context is how Zof knows what a change could affect before it happens.
Independent verification
Zof does not take the proposer’s word for it. It decides what must be proven for each change, runs the verification across nineteen domains, and records the result as evidence.
Evidence and control
Every consequential action leaves proof: what changed, what was verified, which policies applied, who authorized it, and what happened afterward. Policy, not assertion, decides what may proceed.
Model-independent by design
Models are reasoning providers, not the architecture. Zof works with Anthropic, OpenAI, Google, Azure-hosted, customer-approved, and local models, and can run on deterministic systems alone inside air-gapped environments.
Know what changed. Know what to test.
Topology-aware impact analysis connects service changes to affected workflows and recommends validation plans based on system dependencies.
Use system context to prioritize validation.
Autonomous does not mean uncontrolled.
AI can propose. Zof determines whether it has earned the right to act: scope checks, required evidence, policy, and a named human approval where policy demands it.
- Change: doneA developer, a coding agent, or an automation proposes a change.
- Verify: doneZof resolves the blast radius and produces the evidence policy requires.
- Authorize: in progressPolicy decides: allow, deny, require evidence, or require a named approval.
- Observe: pendingThe action runs, and the outcome is recorded against the change.
Zof proposes nothing to production without a policy decision, and humans authorize where policy requires it.
Every consequential action produces the evidence policy demands before it may proceed.
Read-only by default. Action scopes are explicit and least-privilege.
A durable, exportable evidence trail for every run, decision, and approval.
Our Values
Reliability First
We dogfood our own product. Every release is validated by Zof before it ships. We practice what we preach.
Customer Outcomes
We measure success by customer outcomes - fewer incidents, faster releases, better reliability - not features shipped.
Technical Excellence
We build infrastructure, not bandaids. Our solutions are designed to scale and evolve with our customers.
Transparent Communication
We share our learnings openly - the failures as well as the successes. Trust is built through transparency.
Continuous Improvement
Our verification gets sharper over time. Our platform evolves. We are never done improving.
Partnership Mindset
We succeed when our customers succeed. We are partners in their reliability journey, not just vendors.
How independent verification and control shows up across industries.
Anonymized industry models that illustrate how teams apply Zof. They do not identify or imply a specific customer relationship.
See independent verification on your own system.
Book a Reliability Sprint. Zof maps one system you cannot afford to have fail, verifies its failure modes, and shows you the evidence.
