Founders and operators
Move from validated AI use case to working product without staffing every backend, QA, hosting, support, and launch workflow from scratch.
Launch and operate AI-native products without rebuilding the operating layer
Aortem gives teams the backend, workflow, rollout, documentation, and support infrastructure needed to move from use case to production with less custom buildout.
10 Dart SDKs
5 platform products
Who this helps
Reduce the operating work between product strategy and production.
Aortem is built for teams that need to launch, operate, and improve AI-native products while keeping technical execution, support, and infrastructure aligned.
Engineering leaders
Reduce coordination overhead across reviews, releases, docs, cloud workflows, feature flags, and production support.
Product teams
Launch with clearer rollout controls, technical documentation, operating visibility, and a path for iteration after release.
Product suite
Match each product to the business problem it removes.
Start with the outcome, then go deeper into the product and technical path your team needs.
DartCode AI
Reduce review, release, and multi-repository coordination overhead so engineering teams can ship with fewer handoffs.
Technical depth: AI-assisted code review, documentation, release routing, and repository workflow support for Dart teams.
DartCloudFunctions
Launch backend workflows without forcing teams into fragmented cloud tooling or custom runtime glue for every product.
Technical depth: Dart-first cloud functions, function setup, runtime configuration, and deployment support.
Intellitoggle
Reduce launch risk with controlled rollouts, feature flags, safer experiments, and operational visibility after release.
Technical depth: OpenFeature support, targeting rules, percentage rollouts, scheduling, and audit-friendly release controls.
DartStream
Keep backend, app, and platform logic aligned as product workflows become more real-time, stateful, and operationally complex.
Technical depth: Server-side Dart workflows, application services, streaming patterns, and deployment-aligned backend logic.
TechniDox
Keep product, engineering, and support documentation current as teams ship, support customers, and scale internal knowledge.
Technical depth: AI-assisted generation, quality scoring, documentation health, review routing, and support-ready knowledge workflows.