One Prompt.Every Domain.In Parallel.

Your prompt. Every leading AI model. One place.

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Platform Capabilities

Everything you need to turn AI into real work.

Agents, expertise, memory and workflows — coordinated in one execution layer.

Collaborative Agent Teams

Multiple AI specialists work together on one objective.

Research, analysis, strategy and execution agents coordinate instead of operating as isolated chatbots.

Why it matters:Handles complex workflows that a single assistant struggles with.

Domain-Specific Assistants

Bring specialized expertise into every workflow.

Configure assistants around specific business functions, roles, knowledge and operating processes.

Why it matters:More relevant outputs without repeatedly explaining the context.

Memory & Knowledge Hub

Give AI persistent access to your business context.

Connect documents, previous work and organizational knowledge so agents can retrieve the information they need.

Why it matters:Less repetitive prompting. More consistent, context-aware work.

Model-Agnostic AI Layer

Use the right model for the right task.

Switch between leading AI models without rebuilding your workflows.

Why it matters:Avoids lock-in and lets the platform optimize for capability, cost and speed.

Workflow Execution & Tracking

Watch the work happen from request to delivery.

Track agent execution, review progress and receive structured, downloadable business outputs.

Why it matters:Turns opaque AI responses into an observable workflow.

Pipeline mode

Turn one prompt into a coordinated run

Pipeline mode splits complex work into parallel tracks, keeps agents in sync, and shows every stage live — just like in chat.

Pipeline Run

api-cfc2e5eec2c8

THINKINGJust now

Stage 1 · Master & Decompose

Master analyzes your request; Decompose builds the reviewable plan

Est. ~ 7s

Master · Reading your request
Parsing goals, constraints, and deliverables
0s
Master · Framing the approach
Defining success criteria and expected outputs
—
Decompose · Choosing pipeline modules
Selecting agents for parallel work
—
Decompose · Drafting the plan for review
Preparing questions, todos, and module order
—

Stage progress

0 / 4 steps

0%Est. ~ 7s

About this stage

Master understands the task. Decompose splits it into modules, todos, and clarification questions — then you review before Parallel Work starts.

Modules

3 To be executed

Avg. duration

12s For this stage

View full run

Try pipeline mode

FIVE STAGESONE FLOW

Running exampleCustomer discovery

MASTER

Drop “synthesize customer interviews” — data and analysts lock first.

You drop “synthesize 12 customer interviews into insights”

Goals

Uploads to use

Agents to run

customer discovery

Transcript tags

Theme clusters

after tags

Pain ranking

Opportunity map

DECOMPOSE

One discovery splits into tags, themes, pain, and opportunities.

Parallel Work

Interview and survey analysts run in parallel.

Interviews 1–4

Running…

Done

2:30 PM

Interviews 5–8

Running…

Done

2:32 PM

Survey stats

Running…

Done

2:33 PM

Theme clusters… Waiting…

Draft

AGGREGATE

Outputs merge into one insights deck with shared quotes.

SUPERVISE

Get “Approved for roadmap” or one fix before it ships.

“You drop 'synthesize 12 customer interviews into insights'”

Goals

Find top 3 pains
Quote-backed themes

Uploads

Interview-1.txtInterview-2.txtSurvey.csv

Agents

Recommended: 3–6

Domains

One platform. Specialized AI for every function.

MasterNode adapts its AI teams to the domain, context and workflow behind every request.

MasterNode

Selected domain

General

General assistants for research, summaries, writing, meetings and everyday knowledge work.

“Summarize this briefing and list the decisions we still need.”

Research
Summaries
Writing
Meetings

MasterNode

Research

Summaries

Writing

Meetings

Marketing

Sales

GTM

Positioning

Teaching

Research

Accreditation

Lesson plans

Contracts

Governance

Policy

Review

Privacy

Regulatory

Audit

Controls

AI that scales with ambition.

From prototype to production — masternode handles the complexity.

68%: Eval pass rate
1.7×: Parallel speedup
62: Effect score
+46pp: vs other LLMs

Pricing

Simple, transparent pricing

Start free and scale as you grow with clear monthly or annual pricing.

Prices in INR for India. Beta rates vs typical AI subscriptions.

Free

₹0

No credit card required

Start free

Core chat with multi-agent replies
Fair-use credits (5h window)
Up to 4 parallel agents per run
Chat file & image attachments
Working memory for recent context
Community support