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Full Technical Transparency — Zero Black Boxes

How PulseROI
actually works

We built PulseROI to solve two problems: Indian brands were paying ₹25,000/month for tools that couldn't detect Hindi creators, and nobody was monitoring campaigns after contracts were signed. Here's the exact architecture.

The Problem

Why single-model vetting is no longer enough

Traditional influencer marketing tools rely on a single AI model (usually GPT-4) and stop the moment a contract is signed. This creates three critical vulnerabilities for Indian brands:

🎯
Single-model bias
One model has one perspective. If it hallucinates or misinterprets an Indian creator, you risk your entire campaign budget.
🇮🇳
India vernacular gap
Western models don't understand Hinglish, fail on regional dialects (Tamil, Telugu), and price in USD rather than local INR CPVs.
🔒
Zero post-campaign tracking
Vetting tools do nothing after the video goes live. If a creator deletes the video or removes your tracking link, you never know.

PulseROI solves this by combining 6 AI providers, an 8-factor mathematical fraud engine, and 24/7 automated background campaign monitoring into a unified platform.

The AI Infrastructure

6 independent AI engines. Each with a specific mission.

Not 6 wrappers around the same API — 6 different model architectures from 6 independent providers, each selected for its architectural strength.

Groq logo
GroqUltra-Fast Inference
Live creator audits, comment fraud analysis, and system health checks

Groq operates custom Language Processing Units (LPUs) designed specifically for low-latency inference. In PulseROI, Groq is our frontline executor. When you search for a creator or trigger a description link verification, Groq processes the text patterns in under 3 seconds. It is positioned first in almost all of our failover cascades.

Default executor for: analysis, ping. Failover position: #1.
Mistral AI logo
Mistral AIStrategic Analyst
Executive summaries, CEO strategy notes, outreach emails, and brief composition

Mistral is an open-weights model provider renowned for highly structured, contextual, and professional prose. We utilize Mistral to write your board-ready executive summaries and the 'CEO Strategic Note' on reports, translating raw YouTube metrics into direct business logic.

Default executor for: brief_composer, ceo_strategy. Failover position: #2.
Cerebras logo
CerebrasReal-Time Conversation
PulseChat, real-time campaign querying, and consensus debate verification

Cerebras hosts wafer-scale engine hardware designed for maximum speed. We use Cerebras to power PulseChat — our in-report conversational AI. When you ask questions about a creator's audience or request a custom negotiation script, Cerebras generates replies with sub-second latency.

Default executor for: chat, mindreader. Failover position: #2 in analysis.
Google Gemini logo
Google GeminiContext Specialist
Multi-lingual queries, large context processing, and regional language detection

Gemini is highly specialized in processing large context windows and recognizing multilingual inputs. It drives our Discover search engine, analyzing multi-dialect queries (e.g., 'Tamil beauty creator under 100K subs'), and acts as our primary classification model for regional Indian languages.

Default executor for: context_enricher. Failover position: #3 in analysis.
Cohere logo
CohereCross-Verification Layer
Consensus validation, semantic embedding matching, and language classification backup

Cohere acts as our enterprise-grade validation layer. When our primary processors generate reports, Cohere's models are called to independently cross-verify the results, ensuring that no single-model hallucinations slip into your final compliance reports.

Default fallback for: analysis, chat. Serves as our primary verification validator.
HuggingFace logo
HuggingFaceSaaS Reliability Shield
Semantic search, embedding generation, and final fallback for all pipelines

HuggingFace hosts our open-source embedding tasks, transforming channel descriptions and keywords into vectors for semantic search matching. It also serves as the final fallback layer in our central brain. If our upstream APIs experience rate limits, HuggingFace models ensure your dashboard stays online.

Failover position: #6 (Last Resort). Primary for: embedding generation.
Under The Hood

8 production workflows powering PulseROI

PulseROI is not a single prompt in a wrapper. It is 8 production systems handling discovery, mathematical auditing, debate consensus, and post-campaign monitoring.

01

YouTube Analysis Agent

GroqMistralCerebrasGemini

The core auditing engine. When you request an AI report, this agent pulls the creator's YouTube metadata — subscribers, views, recent uploads, and comments — and generates the HIRE / MAYBE / SKIP verdict, confidence score, strengths, red flags, and niche alignment in one unified pass.

Output: HIRE / MAYBE / SKIP verdict, confidence score, strengths, red flags, niche fit~3-8 seconds
02

Executive Summary Agent

MistralCerebrasGemini

Translates raw creator metrics into highly structured, professional business copy suitable for sharing with clients, CMOs, or founders. It details expected campaign reach, audience alignment, and content lifespans in board-ready language.

Output: 1-page polished campaign summary brief~2-4 seconds
03

CEO Strategy Agent

MistralCerebrasGemini

Your professional strategic advisor. It generates the 'CEO Strategic Note' included at the bottom of Pro, Agency, and Enterprise reports — detailing specific negotiation anchors, deal structures, and campaign timing strategies.

Output: Negotiation tactics, discount anchors, deal structures, budget allocation plans~3-5 seconds
04

PulseChat

CerebrasGroq

An interactive conversational AI that lives directly inside every report. PulseChat reads the complete contextual JSON of the report you are viewing, answering strategic questions and generating personalized creator outreach follow-ups instantly.

Output: Sub-second answers to specific creator or campaign planning queries< 1 second response
05

Language Detection Engine

GeminiMistralGroqCerebras

Most global tools fail to classify Indian creators accurately because they read English metadata titles written for SEO. PulseROI's engine analyzes video titles, tags, and description keywords together using AI, successfully detecting 12 regional languages.

Output: Hindi, Hinglish, Tamil, Telugu, Bengali, Marathi, Punjabi, Gujarati, Kannada, Malayalam, Urdu, English~2-3 seconds per 10 channels
06

Discover Engine

GeminiMistralGroq

Processes natural language queries (e.g. 'Ayurvedic wellness creators in India with good engagement'), maps them to YouTube's Freebase topic taxonomy, executes high-quality diverse search queries, and ranks them by semantic niche relevance.

Output: Deduplicated, scored list of matching creators with custom match reasons~5-15 seconds
07

PulseAuthenticity Heuristics Engine

Math Heuristics (Zero-Quota)

A mathematically rigorous fraud checker that runs 8 independent heuristics in parallel. It calculates SVR (Subscriber-to-View), ERA (Engagement Rate), LCR (Like-to-Comment), and PUS (Performance Uniformity) to detect bot subscribers, click-farms, and WhatsApp engagement pods.

Output: PulseAuthenticity Score (0-100) + complete risk level and flagsInstant (<0.1 seconds, purely computational)
08

24/7 Creator & Campaign Monitor

Automated Background Crons + Resend

Post-campaign security. Our automated background crons check your registered videos and channels every 6-12 hours, detecting deleted videos, unlisted status drops, link edits (removed UTM links), and view velocity anomalies.

Output: Email alerts with copy-paste creator templates + live dashboard logsAlways-on (polls every 6-12 hours in background)
Step-by-Step Pipeline

The 9-step report generation sequence

From the second you submit a creator name to your final downloadable PDF and automated monitoring handover.

1

You search for a creator or paste a URL

Enter a creator name, @handle, channel URL, or specific video link. PulseROI's URL parser resolves it automatically into a verified YouTube Channel ID or 11-character Video ID.

Implementation: YouTube Data API v3 → channels.list & search.list with automatic handle resolution
2

We pull live YouTube metadata

PulseROI fetches live data directly from YouTube: subscriber counts, total views, upload cadence, recent 20-video metrics (views, likes, comments), channel age, and branding keywords.

Implementation: YouTube Data API v3 → channels.list + playlistItems.list + videos.list (batch 50 videos/unit)
3

Zero-quota authenticity heuristics execute

Before calling any AI models, our pure mathematical engine runs 8 fraud heuristics: Subscriber-to-View Ratio (SVR), Like-to-View Ratio (LVR), Like-to-Comment Ratio (LCR), and Performance Uniformity (PUS).

Implementation: lib/analysis/fake-engagement.ts → 8 mathematical heuristics calculated in <10ms server-side
4

Language & regional context detection

The channel's titles, descriptions, tags, and branding keywords are analyzed to identify the creator's true spoken language. This prevents misclassifying Hindi, Tamil, or Telugu creators as 'English.'

Implementation: AI-batched call via brainExecute → context_enricher chain with 30-day Supabase classification caching
5

The AI Analysis Agent fires

All metrics, fraud scores, and language context are packaged into a structured prompt. The Analysis Agent produces: HIRE / MAYBE / SKIP verdict, confidence score, verdict reasons, creator summary, strengths, red flags, and best-fit niche.

Implementation: brainExecute with taskType: 'analysis'. Failover cascade: groq → cerebras → mistral → gemini → cohere → huggingface
6

Multi-AI consensus debate (Pro+ plans)

On Pro, Agency, and Enterprise tiers, the analysis runs across 2 to 4 independent AI providers in parallel. The models debate their findings to produce a verified consensus score.

Implementation: brainExecute with mode: 'debate' (2 models for Pro, 3 for Agency, 4 for Enterprise)
7

Executive summary & CEO strategy generation

Specialized writing agents take the analytical output and generate: (1) an executive summary suitable for a board deck, and (2) a CEO Strategic Note with specific negotiation anchors and deal structuring advice.

Implementation: Sequential agent execution: orchestrator → executive-summary agent → ceo agent via Mistral & Cerebras
8

Commercial pricing & ASCI compliance audit

Our pricing engine computes fair CPV sponsorship ranges, CAC, and 12-month CLV ROI forecasts. Simultaneously, the brand safety engine verifies ASCI disclosure phrases and scans for competitor mentions.

Implementation: lib/analysis/pricing-engine.ts + lib/analysis/brand-safety.ts (India-calibrated CPV benchmarks)
9

Report saved & 24/7 monitoring handover

The complete report is stored in your dashboard with public share link options, full 6-page PDF export, and a 1-click button to pin the creator to your 24/7 Campaign Monitor for automated deletion and link tracking.

Implementation: Supabase reports table + @react-pdf/renderer + 24/7 Vercel background cron scheduling
Multi-AI Verification

More models = higher confidence verdicts

Your plan determines how many independent AI providers cross-verify each creator audit. Higher plans run parallel consensus debates to catch single-model bias.

Trial / Starter
Groq logo
1 AI System
Fastest analysis. Single AI perspective. Perfect for exploring PulseROI or vetting standard micro-creators.
Execution Speed
~15 seconds
Recommended
Pro
Groq logo
Mistral logo
2 AI Debate
Two providers analyze independently and cross-debate the verdict to catch single-model bias.
Consensus
Dual-Verified
Agency
Groq logo
Mistral logo
Cerebras logo
3 AI Triple
Three independent models analyze in parallel. Requires majority agreement for HIRE verdicts.
Consensus
Triple-Verified
Enterprise
Groq logo
Mistral logo
Cerebras logo
Gemini logo
4 AI Quad
Maximum verification across 4 distinct model hosts. Highest confidence intervals (98%+).
Consensus
Quad-Verified
Zero-Downtime Resilience

High resilience, even when AI providers fail

All AI providers experience outages and rate limits. PulseROI's Central Brain handles failover automatically in milliseconds.

How failover cascades operate:

1
Continuous Health Monitoring
Every AI provider is continuously monitored for success rates and latency. Degrading providers are deprioritized before users experience timeouts.
2
Dynamic Routing by Health
Our Central Brain sorts the provider chain dynamically, routing each task type to the healthiest available host.
3
Sub-Second Automatic Failover
If Provider #1 returns a 429 (rate limit) or 500 error, the brain immediately transfers the enriched prompt context to Provider #2.
4
6-Tier Failover Depth
With 6 independent providers in the chain, all 6 would have to experience simultaneous global outages for an audit to fail.
Data Security & Privacy

Direct answers to data questions

Do you train AI models on my searches or campaign data?

No. PulseROI uses AI providers exclusively as zero-retention inference APIs. Your searches, monitored creator lists, and campaign links are stored securely in our Mumbai database and are never shared with AI companies for model training.

Where is my campaign and monitoring data stored?

All data is hosted in Supabase PostgreSQL in the Mumbai region (ap-south-1). This guarantees complete Indian data residency and sub-20ms latency for Indian teams.

How does PulseROI access YouTube data?

We query the official YouTube Data API v3. We only access publicly visible channel metadata, upload histories, public view statistics, and top comments. We never ask for your Google account password or creator channel credentials.

Can I export my campaign monitoring history?

Yes. You can export complete CSV data files and branded executive PDF reports at any time directly from your dashboard.

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