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.
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:
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.
Not 6 wrappers around the same API — 6 different model architectures from 6 independent providers, each selected for its architectural strength.
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.
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.
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.
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.
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.
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.
PulseROI is not a single prompt in a wrapper. It is 8 production systems handling discovery, mathematical auditing, debate consensus, and post-campaign monitoring.
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.
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.
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.
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.
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.
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.
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.
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.
From the second you submit a creator name to your final downloadable PDF and automated monitoring handover.
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.
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.
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).
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.'
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.
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.
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.
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.
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.
Your plan determines how many independent AI providers cross-verify each creator audit. Higher plans run parallel consensus debates to catch single-model bias.
All AI providers experience outages and rate limits. PulseROI's Central Brain handles failover automatically in milliseconds.
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.
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.
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.
Yes. You can export complete CSV data files and branded executive PDF reports at any time directly from your dashboard.
Audit any creator with 8-factor fraud heuristics, or set up 24/7 background campaign monitoring slots. No credit card required.