Real-time earnings intelligence
Juggling IDEs, Databricks UI, documentation, and CLI tools, shatters focus and productivity.
Multi-format ingestion & fusion
Unifies live audio, PDFs/presentations, and Excel models; extracts key data points, ratings, and signals into one view.
Model-aware recommendations
Compares your financial models against call takeaways and broker notes, flags discrepancies, and suggests updates with rationale.
Analyst-ready
outputs
Auto-builds concise summaries (Executive Summary, Q&A, Sentiment, Stats & Numbers, Conclusion) and consolidated analyst consensus.
AI review understanding
NLP models read opinions, score sentiment, and lift “helpful snippets” that explain pros/cons clearly.
Feature-level
scoring
See how products perform on what matters (battery, build, etc.) with roll-up overall scores.
Multi-source ingestion at scale
Pulls reviews from major marketplaces with in-house models built to process huge volumes reliably.
Transparent, fast comparison
Elastic search, category views, side-by-side comparisons, and visible review counts build trust.
The 4 Models of The Solution

Ingestion & Processing Model
Large-scale web extraction pipelines normalize multi-site reviews and prep them for analysis (Elastic-backed search, scalable cloud infra). Inputs: product URLs/categories. Outputs: clean review corpora, searchable indices.

NLP Sentiment & Feature Extraction Model
Custom LLMs classify sentiment and map mentions to product features; generates objective, third-person snippets.
Inputs: raw review text. Outputs: sentiment labels, feature tags, readable snippets.

Scoring & Ranking Model
Computes feature-level and overall product scores designed to avoid volume bias and reflect genuine user sentiment.
Inputs: feature sentiments, review weights. Outputs: feature scores, overall rating.

Experience & Monetization Model
Delivers trustworthy UX—category browsing, comparisons, review totals—and routes to retailers via affiliate links. Inputs: scored products, user queries. Outputs: ranked lists, comparisons, affiliate paths.
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