Getting Started with Inwire

This guide walks you through your first experience with Inwire — from logging in to creating your first project and exploring the platform's capabilities.

Accessing Inwire

Open your web browser and navigate to your Inwire instance:

Local Development: http://localhost:3000
Production: https://your-company.inwire.ai (or your custom domain)

When logging in for the first time:

Super Admin Setup — The first user to log in becomes the Super Admin and can set up the initial organization
Invitation Login — If you received an invitation, click the link in your email to set up your account
SSO Login — If your organization uses Single Sign-On, click "Sign in with SSO" and select your provider

> Note: Your organization administrator will provide login credentials or send you an invitation link.

The Dashboard

After logging in, you'll land on the Dashboard — your central hub for monitoring platform activity:

┌─────────────────────────────────────────────────────────────────────────────┐
│  ┌──────────────┐                                                           │
│  │   INWIRE     │  Dashboard                                     [User] ▼  │
│  └──────────────┘                                                           │
├─────────────────┬───────────────────────────────────────────────────────────┤
│                 │                                                           │
│  Dashboard      │   Welcome back, [Name]                                    │
│  ─────────────  │                                                           │
│  PromptScope    │   ┌─────────────┐  ┌─────────────┐  ┌─────────────┐      │
│  ModelOps       │   │ Active Jobs │  │   Models    │  │  Datasets   │      │
│  RAG            │   │     12      │  │     47      │  │     89      │      │
│  Synthex        │   └─────────────┘  └─────────────┘  └─────────────┘      │
│  Model Training │                                                           │
│  Stream         │   Recent Activity                                         │
│  ─────────────  │   ─────────────────────────────────────────              │
│  Access Control │   • Training job completed: fraud-detector-v3            │
│  Settings       │   • New dataset uploaded: customer-reviews-jan           │
│                 │   • Model deployed: recommendation-engine-prod           │
│                 │                                                           │
└─────────────────┴───────────────────────────────────────────────────────────┘

Understanding User Roles

Inwire uses role-based access control (RBAC) to manage permissions. Understanding your role helps you know what actions you can take.

Role Hierarchy

Role	Scope	Key Capabilities
Super Admin	Platform-wide	Manage all organizations, global settings, billing
Org Admin	Organization	Create teams, manage members, configure integrations
Team Admin	Team	Manage team resources, invite members, set team policies
Member	Team	Use platform features, run jobs, access team resources

Checking Your Role

To see your current role:

Click your profile icon in the top-right corner
Select Profile from the dropdown
Your role is displayed under your organization/team membership

Creating Your First Organization

> Note: Skip this section if you're joining an existing organization.

If you're the Super Admin or have organization creation privileges:

Step 1: Navigate to Organizations

Click Access Control in the sidebar
Select Organizations
Click Create Organization

Step 2: Configure Organization Settings

Fill in the organization details:

Field	Description	Example
Name	Organization display name	"Acme Corp"
Slug	URL-friendly identifier	"acme-corp"
Plan	Billing tier	Free, Starter, Professional, Enterprise
Description	Optional description	"Acme Corp ML Platform"

Step 3: Review and Create

Click Create Organization to complete setup. You'll automatically become the Org Admin.

Creating Your First Team

Teams are where collaboration happens. Each team has its own resources, projects, and access controls.

Step 1: Navigate to Teams

Go to Access Control → Teams
Click Create Team

Step 2: Configure Team Settings

Field	Description	Example
Name	Team display name	"ML Research Team"
Slug	URL-friendly identifier	"ml-research"
Description	Team purpose	"Developing next-gen ML models"

Step 3: Invite Members

After creating the team, invite members:

Click Invite Member
Enter the email address
Select their role (Team Admin or Member)
Click Send Invitation

Invited users will receive an email with a link to join.

Platform Tour

Let's take a quick tour of Inwire's main modules:

Synthex — Synthetic Data Generation

What it does: Generate high-quality synthetic data for training, testing, and development.

Key features:

Data profiling and schema management
Multiple generation methods (statistical, GAN-based, LLM-based)
Privacy-preserving data generation
Data quality evaluation

Where to find it: Sidebar → Synthex

┌────────────────────────────────────────────────────────────┐
│  Synthex → Datasets                                        │
├────────────────────────────────────────────────────────────┤
│  Your Data Profiles                                        │
│  ┌────────────────────────────────────────────────────┐   │
│  │ ● customer_transactions   │ Tabular │ 10K rows    │   │
│  │ ● product_reviews         │ Text    │ 5K rows     │   │
│  │ ● sensor_readings         │ Time    │ 1M rows     │   │
│  └────────────────────────────────────────────────────┘   │
│                                                            │
│  [+ Create Profile]  [Generate Data]  [Import Dataset]     │
└────────────────────────────────────────────────────────────┘

> Learn more: Synthex User Guide

Model Training — Experiment Management

What it does: Track experiments, manage training jobs, and organize ML workflows.

Key features:

Experiment tracking with metrics and artifacts
Training job orchestration
Hyperparameter tuning
Dataset versioning

Where to find it: Sidebar → Model Training

┌────────────────────────────────────────────────────────────┐
│  Model Training → Experiments                              │
├────────────────────────────────────────────────────────────┤
│  Recent Experiments                                        │
│  ┌────────────────────────────────────────────────────┐   │
│  │ ● fraud-detector-v3       │ Running  │ 85% acc    │   │
│  │ ● churn-prediction        │ Complete │ 92% acc    │   │
│  │ ● recommendation-engine   │ Complete │ 0.87 NDCG  │   │
│  └────────────────────────────────────────────────────┘   │
│                                                            │
│  [+ New Experiment]  [Compare]  [Export Results]           │
└────────────────────────────────────────────────────────────┘

ModelOps — Deployment & Monitoring

What it does: Deploy models to production and monitor their performance.

Key features:

Model registry with versioning
Multi-cloud deployment
Performance monitoring
Governance and compliance

Where to find it: Sidebar → ModelOps

┌────────────────────────────────────────────────────────────┐
│  ModelOps → Deployments                                    │
├────────────────────────────────────────────────────────────┤
│  Active Deployments                                        │
│  ┌────────────────────────────────────────────────────┐   │
│  │ ● fraud-detector   │ prod    │ 120 req/s │ Healthy │   │
│  │ ● recommender      │ staging │  50 req/s │ Healthy │   │
│  │ ● sentiment-api    │ dev     │  10 req/s │ Warning │   │
│  └────────────────────────────────────────────────────┘   │
│                                                            │
│  [+ New Deployment]  [Scale]  [View Metrics]               │
└────────────────────────────────────────────────────────────┘

RAG — Retrieval-Augmented Generation

What it does: Build pipelines that combine retrieval with LLM generation for knowledge-grounded responses.

Key features:

Document ingestion and indexing
Vector search configuration
Pipeline orchestration
Evaluation and monitoring

Where to find it: Sidebar → RAG

Integrations

What it does: Connect Inwire to external services and infrastructure.

Supported integrations:

Cloud Providers: AWS, GCP, Azure
Storage: S3, GCS, Azure Blob
Version Control: GitHub, GitLab
Container Registries: Docker Hub, ECR, GCR
Monitoring: Prometheus, Grafana

Where to find it: Sidebar → Access Control → Integrations

Your First Project Workflow

Let's walk through a simple end-to-end workflow to get you familiar with Inwire:

Scenario: Training a Fraud Detection Model

Step 1: Prepare Data in Synthex

Go to Synthex → Datasets
Click Import Dataset and upload your transaction data
Create a Data Profile to define the schema
If needed, generate synthetic data to balance classes

Step 2: Create an Experiment in Model Training

Go to Model Training → Experiments
Click New Experiment
Name it "fraud-detector-v1"
Select your dataset from Synthex
Configure training parameters

Step 3: Run and Monitor Training

Click Start Training
Watch metrics update in real-time
Compare with previous runs
Save the best model

Step 4: Deploy with ModelOps

Go to ModelOps → Models
Find your trained model
Click Deploy
Select target environment (dev/staging/prod)
Monitor performance

The sidebar is your navigation hub. Here's what each section contains:

Section	Purpose
Dashboard	Overview and activity feed
PromptScope	Prompt engineering and testing
ModelOps	Model registry, deployments, monitoring
RAG	RAG pipeline management
RAG Index	Knowledge base optimization
RAG Sentinel	AI security and compliance
Agent Studio	AI agent development
Synthex	Synthetic data generation
Stream	Real-time data processing
Model Training	Experiments and training jobs
Inwire Observe	Platform monitoring
Access Control	Users, teams, integrations
Settings	Profile and preferences

Keyboard Shortcuts

Speed up your workflow with these shortcuts:

Shortcut	Action
`Ctrl/Cmd + K`	Quick search
`Ctrl/Cmd + /`	Toggle sidebar
`Ctrl/Cmd + N`	New item (context-dependent)
`?`	Show all shortcuts

Next Steps

Now that you're familiar with Inwire's basics:

Setting up Inwire — Configure integrations and environments
Using Inwire — Learn detailed workflows
Synthex User Guide — Deep dive into synthetic data generation

Need Help?

In-app help: Click the ? icon for contextual help
Documentation: Return to the User Guide
Support: Contact your organization administrator

Getting Started with Inwire

First Login

Accessing Inwire

Initial Login

The Dashboard

Understanding User Roles

Role Hierarchy

Checking Your Role

Creating Your First Organization

Step 1: Navigate to Organizations

Step 2: Configure Organization Settings

Step 3: Review and Create

Creating Your First Team

Step 1: Navigate to Teams

Step 2: Configure Team Settings

Step 3: Invite Members

Platform Tour

Synthex — Synthetic Data Generation

Model Training — Experiment Management

ModelOps — Deployment & Monitoring

RAG — Retrieval-Augmented Generation

Integrations

Your First Project Workflow

Scenario: Training a Fraud Detection Model

Step 1: Prepare Data in Synthex

Step 2: Create an Experiment in Model Training

Step 3: Run and Monitor Training

Step 4: Deploy with ModelOps

Understanding the Sidebar

Keyboard Shortcuts

Next Steps

Need Help?