Market Problem

Traditional LMS platforms treat all students identically. One-size-fits-all curriculum leads to high dropout rates (40%+), poor engagement, and wasted learning potential across diverse student populations.

Our Solution

Learn Optima uses OpenRouter LLM integration to analyze learning patterns in real-time and adapt curriculum dynamically:

• Comprehension speed and learning style detection (visual, auditory, kinesthetic)
• Knowledge gap identification using semantic vector analysis
• Optimal content sequencing with spaced repetition algorithms
• Real-time difficulty adjustment based on performance metrics

Technical Architecture

• Backend: Flask + Firestore for student profiles and learning histories
• AI Engine: OpenRouter (Llama 3) for adaptive curriculum generation
• Vector DB: Semantic search for intelligent material retrieval
• Frontend: React with WebGL for learning journey visualization
• Analytics: Real-time progress tracking and predictive dropout detection

Key Features

• Adaptive Curriculum: Difficulty auto-adjusts based on student performance
• Learning Style Detection: Identifies optimal teaching method per student
• Predictive Analytics: Flags at-risk students before disengagement
• Multi-Format Content: Auto-generates video summaries, quizzes, explanations
• Parent Dashboard: Real-time progress insights without exposing grades

Go-To-Market Strategy

• Initial focus on K-12 and higher education institutions
• Freemium model for individual students; B2B licensing for schools
• Early partnerships with 3 school districts for beta validation
• Content partnerships with curriculum providers

Tech Stack

Market Problem

Agencies receive massive CSV/Parquet files (500MB+) from clients. Excel crashes. Google Sheets freezes. ChatGPT hallucinations create liability. Non-technical ops managers can't inspect data without engineers spinning up Jupyter notebooks.

Our Solution

CleanSlate uses DuckDB (in-process OLAP engine) to stream massive files instantly without loading into RAM. Combines deterministic SQL with AI-assisted rules:

• Instant file loading: 1GB CSV opens in <2 seconds (zero RAM overhead)
• Vanna.AI converts natural language to deterministic SQL
• Live preview before any data transformation (safety-first)
• Fuzzy deduplication with similarity scoring and human review
• Pydantic schema validation for Shopify/Salesforce/HubSpot
• Automated recipe saving for recurring workflows

Technical Architecture

• Engine: DuckDB OLAP - handles 10GB+ files on commodity hardware
• Backend: Flask + Ibis for database-agnostic SQL compilation
• AI: Vanna.AI + OpenRouter for NL→SQL translation
• Validation: Pydantic models for strict schema enforcement
• Frontend: Vanilla JS with virtual scrolling grid (no bloat)

Key Features

• Stream Loader: Drag-and-drop CSV/Excel/Parquet with zero RAM overhead
• Schema Selector: Pre-built templates for Shopify, Salesforce, HubSpot, custom
• Hygiene Tools: One-click Trim, Proper Case, Fill Nulls (100% deterministic)
• Twin Finder: Intelligent deduplication with fuzzy matching + human review queue
• Jarvis Command Bar: Type intent → preview results → apply transformations
• Recipe Memory: Save & reuse workflows for recurring clients

Go-To-Market Strategy

• Target: Digital agencies, marketing teams, data consultants
• Freemium (10MB limit) + Pro ($49/mo, 100MB) + Agency ($199/mo, 5GB)
• Zero competitor in "in-browser, non-crashing" category
• Early access partnerships with 5 top agencies

Tech Stack

Market Problem

Freelancers and agencies lose 30-40% of project profitability to scope creep. Saying "no" awkwardly damages client relationships. Saying "yes" silently destroys margins. No systematic way to detect and monetize out-of-scope requests.

Our Solution

ScopeShield automates scope management using RAG Triad (Retrieve → Verify → Judge):

• Ingest contracts, SOWs, and verbal agreements automatically
• Detect out-of-scope requests across email, Slack, GitHub PRs, Jira tickets
• Auto-generate professional refusal emails citing specific contract clauses
• Generate pixel-perfect PDF change orders for scope additions
• Track profit impact and identify high-value expansion opportunities

Technical Architecture

• Ingestion: Multi-format PDF/DOCX with OCR for scanned contracts
• Detection: RAG pipeline + semantic search against contract clauses
• Revenue: WeasyPrint generates legal-grade PDF change orders
• Integration: Email gateway, Slack bot, Git scanner, Jira webhook
• Management: Immutable Firestore audit trail for legal defense

Key Features

• Scope Analyzer: Paste text/email → RAG Triad → Verdict (In-scope vs. Red Risk)
• Browser Extension: Real-time highlighting in Gmail/Outlook - Red (out-of-scope) vs. Green (OK)
• Smart Email Gateway: Forward to scan@scopeshield.ai → Auto-reply with verdict
• Slack Bot: @ScopeShield in channel → Instant scope analysis in thread
• Git PR Scanner: GitHub Action blocks merge if feature missing from SOW
• Jira Integration: Auto-comment "⚠️ BILLING ALERT" when tickets exceed scope
• Change Order Generator: One-click PDF invoices with proper legal language
• Manager Approval Lock: Junior devs can't reply without manager sign-off
• SOW Builder Wizard: Interview-style form generates defensive contracts

Go-To-Market Strategy

• Target: Freelancers, agencies, dev shops, consultancies
• Tier 1 - Shield ($12/mo, 3 projects, manual analyzer)
• Tier 2 - Studio ($49/mo, unlimited, change orders, email gateway)
• Tier 3 - Enterprise ($199/mo, Slack, Jira, Git, white-label)
• Early access partnerships with 10 agencies for beta feedback

Tech Stack