MULTI-AGENT PIPELINE · DISCOVERY → DELIVERY
The completeproduct cycle, orchestratedby agents.
ASTRA Cortex runs discovery, definition, design, build and delivery with specialized agents, keeping human decisions at every validation gate.
◇ Orchestration
One core. Five fronts.
The ASTRA Cortex core coordinates the discovery, definition, design, build and delivery fronts. Each front brings its own specialized agents, with full context flowing from one to the next.
◇ The problem
Speed without direction is just noise.
Discovery thrown away
Interviews, evidence and learnings die in documents nobody opens. Weeks later, the backlog becomes a contest of opinions.
Decisions with no trail
Six months on, nobody remembers why that feature exists, which hypothesis justified it, or what it was supposed to prove.
AI without judgment
Assistants generate code fast, but with no product context, no quality gates and nobody accountable for the decision.
HUMAN-IN-THE-LOOP · FULL TRACEABILITY · VERSIONED AGENTS
AI tools generate code.
ASTRA Cortex builds product: with memory, judgment and a human in command.
One direction across every front
◇ How it works
Five phases. Four gates. One thread.
◇ Platform
Built for teams that won't give up control.
End-to-end traceability
Every deliverable points to the evidence that originated it: from hypothesis to pull request, auditable in both directions, at any time.
Visual management
Product status doesn't live in a spreadsheet or a meeting: it lives on screen, live, with AI cost per feature.
Human-in-the-loop by default
Validation gates between phases and risk-driven review: the routine flows, the critical waits for you.
AI governance that acts
Guardrails per project policy, from warning to blocking, budget limits with hard caps and an audit trail of every agent decision.
Dependency chain under watch
Dependency inventory generated on every build and continuous vulnerability scanning. Found something critical? The delivery doesn't pass.
Deploy on your infrastructure
From a VM to the cloud, the app goes wherever you say, with self-healing: if a deploy degrades, the platform diagnoses, fixes and tries again.
Versioned agents
Declarative, reproducible, auditable configuration.
# agent.config agent: "forge" version: "2.4.1" model: "tier-1" gates: ["human"] output: "pull_request"
Connects to your stack
Works in your git repository, on the provider you already use. And the spec travels with the team: export it to the AI editor of your choice.
Ready for your organization
Full isolation per organization, single sign-on with your identity provider and data that never trains models.
Context that isn't lost
Each phase inherits the full context of the previous ones. Each cycle starts smarter than the last.
◇ Who it's for
One pipeline. Three points of view.
From evidence to decision
Discovery that doesn't die in a document: it becomes hypothesis, brief and clickable prototype, all linked.
- Market research and interviews run by agents, with your approval item by item
- Journeys, impact × feasibility prioritization and user stories ready for execution
- Clickable prototypes aligned to the design system, before spending engineering
PRs that arrive ready
Reviewed, tested code with full context, in your repository, in your workflow.
- Every PR arrives with tests, review and the spec that originated it
- Quality gates hold what isn't ready; self-healing deploy ships what is
- Works on your git provider and takes the spec to the AI editor of your choice
Control without micromanagement
Real-time view of what agents are doing, what they cost and where they need you.
- AI cost visible per project and per feature, with budget and spending cap
- A single queue of what needs a human decision; the rest flows on its own
- Complete audit trail: every decision has an author, context and evidence
- Visual management by default: the question “how's the project going?” stops existing
◇ Frequently asked questions
What everyone asks first.
No. Human validation gates exist between every phase and each pull request can require your approval. You choose the level of autonomy per project: from routine work that flows on its own to critical work that always waits for a human.
On your turf. Code lives in your git repository (GitHub, GitLab, Bitbucket, Azure DevOps or a self-hosted instance) and the app is deployed on the infrastructure you point to, from your own VM to the cloud.
Never. Your data stays isolated per organization, encrypted in transit and with secrets encrypted at rest, and it is not used to train any model. Guardrails block secret leakage by default and, according to project policy, personal data and other improper content.
Yes. ASTRA Cortex works on new products as well as existing codebases: agents read the repository, respect the defined architecture and evolve what's already there.
You see it and you cap it. Every project has an AI budget with a real-time meter, cost visible per feature and ceilings that stop execution before overrunning. No surprises at the end of the month.
Early access is open to product teams, with assisted onboarding included. Request access and our team will get in touch to set up the first project with you.
Multi-agent product pipeline
◇ Early access
Your next product starts today.
Limited early-access spots for product teams. Assisted onboarding included.
Request early accessNo credit card · 15-minute setup
◇ About Webnuvem
Made in Brazil, for the world.
Webnuvem is an engineering studio from São Paulo obsessed with one question: what if the entire product cycle, from the first interview to deploy, could run on a single thread, with AI doing the heavy lifting and people deciding what matters?
ASTRA Cortex is our answer. Built in production, in our own day-to-day, before reaching yours.