Pluggable Cloud – Platform

Accelerate Innovation - From Requirements to Cloud Deployment.

Build Fast. Ship Smart. Scale Seamlessly.

Bridge the gap between product vision and cloud delivery with a platform that unifies docs, tasks, code, and deployment—so your team can go from idea to production without missing a beat.

Platform Overview

Turn Prompts Into Production-Ready Infrastructure.

Our platform empowers teams to launch, manage, and scale complex applications with just a prompt. From product requirements to production deployment, we handle the heavy lifting—security, cost, scalability, and reliability are built-in by design.

Behind the scenes, our intelligent orchestration engine transforms simple inputs into secure, scalable, and observable infrastructure. It generates epics, stories, and implementation tasks aligned with business goals—so your product and engineering teams stay perfectly in sync.

Core Benefits

Prompt-to-Production in Minutes

Skip the manual setup. Generate a complete, production-grade environment—including CI/CD pipelines, IaC, and security baselines—with a single prompt.

End-to-End DevOps Automation

From code commit to canary deployment, our platform manages the full CI/CD lifecycle—no human handoffs required.

Blast Radius Control, Baked In

Ramp engine automatically controls rollout impact, monitors app health in real time, and adjusts deployment strategies on the fly.

Self-Healing Infrastructure

Built-in diagnostics and automated recovery mean issues are identified and resolved before they reach your users.

Business-Aware Observability

Tie application behavior to business outcomes. Detect anomalies in both SRE metrics and product KPIs, and disable problematic features automatically.

Key Features

Prompt-Based Infra Generation

Spin up full-stack environments with all dependencies, policies, and cloud resources using simple natural language.

Auto-Generated Epics & Stories

Automatically convert business requirements into structured engineering work—epics, stories, and tasks, mapped to delivery

CI/CD as Code

Every commit is traced, tested, and deployed through a fully automated pipeline with canary releases and blast-radius-aware rollouts.

Ramp Engine for Progressive Delivery

Intelligently controls how changes are rolled out across your infrastructure—slow start, auto-pause, rollback, and more.

Real-Time Health Monitoring

Continuously monitor app and infra health; respond to anomalies at both system and business levels in real time.

Anomaly Detection & Feature Kill Switches

Catch behavioral shifts or KPI deviations and take action—shut down problematic features or auto-scale resources before customers are affected.

How It Works

Step 1:

Start with a Prompt

Define your intent in natural language—something as simple as:

“I want to build a microservice that processes payments, with auto-scaling, secure APIs, and monitoring.”
The platform parses the intent, understands business goals, and starts constructing a full project pipeline.

Step 2:

Strategic Planning & Feature Mapping

Our engine instantly translates your prompt into a production-grade setup, including:

Architecture diagrams with best practices (e.g., security groups, VPCs, load balancers)
Infrastructure-as-Code (IaC) templates tailored for AWS/GCP/Azure/K8s
CI/CD pipelines wired for canary deployment and rollback
Security and cost optimizations built-in from day one

Step 4:

Code, Commit, and Automate Deployment

As developers check in code:

The platform auto-triggers testing and quality gates
On approval, it deploys using canary rollout strategies via the Ramp Engine
Blast radius is minimized, and rollout speed adjusts based on real-time feedback

Step 3:

Map Business Goals to Dev Work

Using AI-driven product modeling:

Business requirements are converted into epics and user stories
Stories are auto-assigned to implementation-ready dev tasks
All work items sync with your project management tools (e.g., Jira, Linear, GitHub Projects)

Step 5:

Monitor, Diagnose, and Self-Heal

Your app and infrastructure are continuously observed:

SRE-level telemetry and business metrics are both monitored
Anomalies trigger automated diagnostics and healing flows
If a feature degrades experience or KPI, it’s auto-disabled with Feature Kill Switches

Step 6:

Learn and Optimize Over Time

The system learns from previous rollouts, incidents, and user behavior to:

Recommend more resilient architectures
Predict potential issues before they surface
Optimize costs and performance based on usage trends

Smart Automation. Human Focus.

Let your team stay focused on what matters—innovation and product delivery—while we manage the complexity of cloud infrastructure, delivery pipelines, and operations.