20 AI specialists. 4 jobs.

One workforce, organized around the work.

Birbal coordinates every performance decision and invokes the specialist it needs. The workforce is grouped by the job it does for the business, not by technical implementation.

Birbal's workforce owner

Birbal

Autonomous Performance Marketing Agent

Birbal owns the continuous performance decision. The specialists below provide the intelligence and execution support that makes each recommendation explainable and actionable.

Understand

Research the market, customer, audience and creative context.

5 agents
  • Chanakya

    Market Intelligence

    Market and industry research, TAM/SAM/SOM, trends, demand signals, pain points, opportunities and threats.

    What: Market intelligence

    Outcome: Better opportunities to pursue

  • Chanakya-X

    Competitor Intelligence

    Competitor discovery, offers, pricing, positioning, ad creative and landing pages, tracked as they change over time.

    What: Competitor intelligence

    Outcome: Stronger market positioning

  • Manas

    Customer Intelligence

    ICP and persona generation, segmentation, objections, buying triggers, customer language and journey.

    What: Customer intelligence

    Outcome: More relevant demand

  • Janak

    Audience Intelligence

    Audience discovery, scoring and saturation. Classifies every audience as winner, emerging, stable, saturated, declining or dead.

    What: Audience intelligence

    Outcome: Higher-quality reach

  • Drishti

    Creative Intelligence

    Breaks each creative into hook, visual, copy, CTA and emotion to build a Creative DNA: why it won, why it lost, when it fatigued.

    What: Creative intelligence

    Outcome: Creative that keeps improving

Create

Turn the business goal into strategy, creative and conversion paths.

4 agents
  • Sutradhar

    Campaign Strategy

    Turns business goals into an executable plan: objective, funnel, audience, offer, budget, channel and measurement.

    What: Campaign strategy

    Outcome: Focused growth experiments

  • Chitra

    Creative Strategy

    Decides what should be produced: hooks, angles, formats, offers and the testing matrix behind them.

    What: Creative strategy

    Outcome: More useful creative testing

  • Chitrakar

    Creative Generation

    Generates statics, carousels, short video, scripts and copy across aspect ratios and languages via a creative variant engine.

    What: Creative generation

    Outcome: Faster creative iteration

  • Vastu

    Landing Page / CRO

    Analyses page speed, messaging, CTAs, form length and trust signals, then proposes CRO experiments.

    What: Conversion optimization

    Outcome: More value from existing traffic

Optimize

Find the next test, protect efficiency and move budget intelligently.

5 agents
  • Vichar

    Hypothesis

    Continuously answers one question: what should we test next? Every hypothesis carries evidence, expected impact, confidence and risk.

    What: Hypothesis generation

    Outcome: A clearer path to improvement

  • Pariksha

    Experimentation

    Converts hypotheses into experiments: control, treatment, sample size, duration, significance, accept or reject.

    What: Experimentation

    Outcome: Decisions backed by evidence

  • Kuber

    Budget Optimization

    Answers where the next ₹1, ₹100, ₹1,000 and ₹1,00,000 should be spent, with hard limits against runaway spend.

    What: Budget optimization

    Outcome: Smarter capital allocation

  • Dhanush

    Bid & Auction

    Bid strategy, cost and bid caps, target CPA and ROAS, placement, dayparting, geographic bidding and pacing.

    What: Bid and auction optimization

    Outcome: More efficient media buying

  • Sanket

    Anomaly Detection

    Watches for CPM spikes, CTR collapse, ROAS drops, tracking failures and saturation. Critical anomalies trigger safeguards.

    What: Anomaly detection

    Outcome: Faster response to performance risk

Execute & learn

Put approved decisions into market and turn results into memory.

5 agents
  • Senapati

    Campaign Execution

    Actually executes approved actions on the ad platforms. Every action records who, what, why, data, confidence, risk, approval and result.

    What: Campaign execution

    Outcome: Faster action with accountability

  • Karm

    Attribution

    Connects ad to click to lead to customer to revenue, so the system optimises toward business outcomes rather than vanity metrics.

    What: Attribution

    Outcome: Optimization toward real value

  • Bhavishya

    Forecasting

    Projects spend, conversions, revenue, CAC and budget exhaustion as best, base and worst case.

    What: Forecasting

    Outcome: More predictable growth planning

  • Vakya

    Reporting

    Daily, weekly and monthly reports written to be understood by a non-technical business owner.

    What: Reporting

    Outcome: Shared visibility into progress

  • Vaani

    Marketing Copilot

    The natural-language surface. Routes each request to the right specialist agent instead of improvising an answer.

    What: Marketing copilot

    Outcome: Faster access to marketing intelligence

One goal, entire workforce

A business objective sets the whole system in motion.

The specialists do different jobs, but they are not separate products. Their structured findings return to Birbal, which keeps the account moving toward the goal.

Illustrative workflow

Generate qualified buyers for a ₹5 Cr Gurgaon property.

Business goal

Campaign strategy

Sutradhar

Understand the opportunity

Chanakya MarketManas AudienceChitra Creative

Creative generation

Chitrakar

Performance decision

Birbal

Campaign execution

Senapati

Live delivery

Meta Ads

Measured outcomes

Performance

Read what happened

Drishti CreativeSanket AnomaliesKarm Attribution

Decide what to test

Vichar HypothesisPariksha Experiment

Budget optimization

Kuber

and repeat

Next best action

Birbal

The Closed Loop

Not ten chatbots and a dashboard.

Viralitea is designed as a closed-loop learning system. Twenty-one stages, six movements, no end: every cycle feeds the next one what it did, what happened, and what it now believes.

123456CLOSED LOOP21 stages
  1. 01

    Understand

    Who the business is, what the market is doing, who the customer actually is.

    • Business
    • Business understanding
    • Market research
    • Competitor intelligence
    • Customer intelligence
  2. 02

    Create

    Strategy becomes campaigns, creative briefs become finished assets.

    • Campaign strategy
    • Creative strategy
    • Creative generation
    • Campaign creation
  3. 03

    Launch

    Approved or autonomously executed, then pushed live to the ad platform.

    • Approval / autonomous execution
    • Ad platform
  4. 04

    Measure

    Live performance read, analysed, and watched for anomalies.

    • Live performance data
    • Analysis
    • Anomaly detection
  5. 05

    Optimise

    Hypotheses tested, spend reallocated, the next best action executed.

    • Hypothesis generation
    • Experimentation
    • Optimization
    • Next best action
    • Execution
  6. 06

    Learn

    Outcomes become learnings, learnings become memory, memory feeds the next cycle.

    • Learning
    • Memory

Deterministic Guardrails

Every agent runs the same loop

Policy and risk are not tools an agent may choose to call. They sit between the plan and the execution, in code, on every single action.

Decide

  1. 01Observe
  2. 02Understand
  3. 03Reason
  4. 04Plan

Policy gate

The model cannot skip these.

  1. 05Check policy
  2. 06Check risk
  3. 07Request approval

Act & learn

  1. 08Execute
  2. 09Verify
  3. 10Store result
  4. 11Learn

Under the hood

Built for controlled autonomy.

Technical depth is available when you need it, without making business buyers learn the architecture first.

Explore the architecture+

Agent orchestration

Specialized agents coordinated by Birbal.

Memory

Persistent account-level intelligence.

Risk engine

Every action assessed before execution.

Guardrails

Budget and permission controls.

Audit trail

Every action explainable.

Tenant isolation

Client context separated.

Model layer

Multi-model architecture.

How the loop is enforced+

Observe, understand, reason, plan, check policy, check risk, request approval, execute, verify, store and learn. Policy and risk are code gates, not optional tools.

What is kept separate+

Account context, memory, actions and audit records remain scoped to the workspace. The model layer is replaceable without changing the agent logic.

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