Trazium
Design agentic workflows with observability, testing, chain of custody, governance, logs and alerts — ready for teams, regulated environments and enterprise deployments.
For builders, teams and enterprise AI operations. No spam — progress updates and private previews only.
Anyone can wire a model to an API in an afternoon. Running that workflow in production — where it touches customers, money and regulated data — is a different discipline. Most teams hit the same walls:
No reliable audit trail. Text logs that can be edited, truncated or lost prove nothing to a reviewer.
Weak visibility into runs and failures. An agent makes forty decisions per run; when it fails, you get a stack trace and guesswork.
No repeatable testing. Non-deterministic workflows shipped on vibes, with no way to re-run yesterday's execution against today's change.
Hard to prove what happened, when and why. Incident reviews become archaeology instead of replay.
Governance bolted on too late. Roles, approvals and policy checks arrive after the first incident — not before it.
Enterprise requirements ignored until procurement. Then security asks about deployment, evidence and access control, and the project stalls.
Every run in Trazium is recorded in an append-only, hash-linked event log. That single substrate powers everything below, by default — not as an add-on.
Full traces of every step, decision and model call. Deterministic replay of any execution, step by step.
Hash-linked, append-only records of inputs, outputs, versions and approvals. Tamper-evident, exportable.
Traceability and logging obligations covered by the architecture, not by a documentation sprint.
Structured log streams, alerting on failures and policy events, and incident timelines built from the record.
Recorded runs become test cases. Re-execute against cassettes and inject faults before production does.
Policy gates, human-in-the-loop approvals and role-based access — enforced by the runtime, proven by the log.
Every run pinned to workflow, prompt and model versions. Reproduce last month's behaviour exactly.
Managed cloud for individuals and teams. VPC, on-prem and fully air-gapped options for enterprise.
One place to see what your workflows did, prove it, and stop what shouldn't happen. This is the operating view — not a marketing render.
A real visual builder with agents, tools and code — where every experiment is already traced, replayable and testable. No lock-in to your own hacks.
Shared workflows with versioning, review, repeatable tests, alerts and incident timelines. Ship changes knowing exactly what they'll do — and what they did.
Policy gates, roles and approvals enforced by the runtime. Evidence export for audits. Deployment on your infrastructure, up to fully air-gapped.
The questions that stall AI projects at review time are answered here by design — not by a slide deck.
A few clear answers while Trazium is still in early access.
Trazium is a production-grade platform for building, testing, governing and auditing AI workflows before they reach production. It combines workflow automation, agent execution, observability, repeatable testing, chain of custody and evidence export.
Trazium covers a similar building surface, but is designed around safe production operation: append-only event logs, deterministic replay, policy gates, role-based approvals, workflow testing, incident timelines and audit-ready evidence by default.
Trazium is for builders prototyping AI workflows, teams shipping automations to production, and enterprise or regulated environments that need governance, traceability, deployment control and evidence for reviews.
The plan is to support managed SaaS first, with enterprise deployment paths such as customer VPC, on-premises and air-gapped environments as the platform matures.
You will receive product updates, private preview invitations and early access opportunities. Early participants may also be invited to shape workflows, integrations, governance features and deployment requirements.
Join the waitlist for early access, product updates and private previews. Early participants get founding conditions and a direct line to the team.
Private beta · autumn 2026 · limited early access seats
