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Features

Stop rebuilding the same platform every team needs

You keep stitching together the same pipelines, gates, and audit trails your last project needed, and the one before that. Here is that work already built and governed, across five stages of how you ship: build and test, deploy, secure, run AI, and operate many teams.

01 · Build & Test

Your gates travel with your code, not your CI vendor

You picked a CI engine. Then quality and security checks got locked inside it, and switching meant rebuilding everything. Keep the engine you run, and let the gates live with the code instead.

Pipeline visibility and gating

See pipeline state and gate it with policy, whatever CI you use. The work orchestrates and records around your build runners. It does not replace them.

Security scanning in the pipeline

Runs your existing security scanners as pipeline steps, then gates on the results in one report. No new tools to adopt.

Test results in one view

Test output from every framework, normalised into a single view in the portal. Every major language.

Preview environments per change

A throwaway environment for each pull request, on its own isolated namespace. Spun up on open, cleaned up on merge.

Build any target

Containers, VM images, serverless packages, static sites, libraries, and mobile apps. Signing material stays in your vault.

02 · Deploy

You ship one way, no matter where it lands

Every target used to mean its own deploy script, its own gotchas, its own way to break at 2am. Learn one way to ship, native on Kubernetes and reaching everywhere else. Your desired state is version-controlled, so any deploy you make is reviewable and reversible.

Deploy anywhere

Native on Kubernetes, plus VMs, serverless, and static sites. One deploy API picks the right executor for each target.

Drift detection

Compares what should be running against what actually is, so configuration drift on your live cluster is caught early.

desired live
replicas: 3 2 · drift
image: pinned in sync

Progressive delivery

Canary and blue-green rollouts, generated for you. Feature flags are wired in so you can release and roll out separately.

Self-healing

Automatic rollback, restart, and scale, with cooldowns and approval gates. Roll a service back to any prior version from the portal or CLI.

Mobile distribution

Ship to app stores and beta channels through your existing tooling, behind the same approval gates as everything else.

03 · Security & Governance

You walk into the audit with the evidence already in hand

Compliance usually arrives as a fire drill: chasing screenshots, reconstructing who approved what, hoping the trail holds up. Run policy checks across your pipeline and API, give every secret a home, and let the audit trail export itself. These are controls you can inspect, run, and prove.

Policy as code

Governance rules live as versioned, tested code. They run at pipeline gates and on API access, and every decision is logged and replayable.

policy: require-signed-build

✓ pipeline gate ✓ api access decision logged

Compliance policy bundles

Ready-made policy bundles for SOC 2, ISO 27001, PCI-DSS, HIPAA, GDPR, and more. The bundles are not a certification.

Evidence, collected for you

Scan results, approvals, and deploy logs pulled from real platform data and exported as one bundle. No more screenshot archaeology before the auditor asks.

Tenant isolation in the database

Isolation is enforced by the database itself, not by app-layer filtering. A request without tenant context sees nothing.

Tamper-evident audit trail

Every action is chained so any tampering shows up. The trail exports on demand.

04 · Multi-tenant ops

You onboard a new team without bolting on isolation later

When isolation is an afterthought, every new team is a fresh chance for one tenant to see another, and for the bill to be impossible to split. Keep each team's data, runtime, and secrets separate from the first commit, and split the spend the same way.

One-step team setup

Identity, database, runtime, and secrets stood up together for a new team in one step. If any part fails, the whole thing rolls back.

Delivery metrics

Deployment frequency, lead time, change failure rate, and recovery time. Built from your own deploy and incident data, per team.

Cost attribution and chargeback

Spend allocated by team, service, and environment from your cost and billing feeds. AI spend is tracked on its own.

Connector library

Connects your existing stack. Browse the library and install with a config form. Secrets route straight to your vault, and you can write your own connectors.

Backup and recovery

Scheduled backups and recovery drills, with multi-region options. The recovery path gets exercised on a schedule, so it works when you need it.

03 · AI-native

You get the AI speedup without shipping your secrets out

AI promises to move you faster, but most of it means handing your code and credentials to a black box you can't see into. Bring your own model and run it on your own infrastructure instead, under budget caps and guardrails, with every action logged where you can read it.

Governed AI

You wake up to a fix already drafted, waiting for your call.

When a known vulnerability lands, the AI opens a fix pull request and leaves the decision to you. It runs on your infrastructure, under budget caps.

service · main checks passed
▲

AI opened a pull request

fix: patch a vulnerable dependency

awaiting human review

✓ scan ✓ policy ✓ audit logged

Per-tenant budgets + guardrails · your infra

AI incident investigation

The AI triages the signals, points to the likely cause, and proposes next steps. The same budgets and guardrails apply.

AI assistant you can talk to

Scaffold and diagnose in plain language, from the portal or your own AI client. Every request is policy-checked.

See what the AI costs

Usage, latency, and cost broken down by team, model, and use case, so governed AI stays inside budget.

Improvement suggestions

The platform reviews how you work and proposes ways to make pipelines faster, cheaper, and safer, for a human to approve.

That's the shortlist. Request a demo and run the rest on your own stack.

The full feature map lives in the docs. The guided evaluation runs on your own stack, scoped to your tools.

Request a demo Read the docs