> ML_ATLAS_INDEX_v1.0
TinyCTO ML Atlas
Move from plain-language ideas to explainable, safe technical plans. We evaluate simpler solutions first, respect your local and cloud hardware constraints, and output a 3-plan production roadmap.
Choose Your Entry Vector
Whether you are pitching to an investor or tuning a CUDA serving container, start from your comfort level.
Idea Mode (Plain Language)
Type your business idea in everyday language. We parse your intent, check simpler alternatives, and recommend a phased plan.
Business & Founder Mode
Frame your project around sector compliance, latency SLA, data readiness, and regulatory guardrails before picking tech.
Expert & Architect Mode
Directly target tasks, data modalities, runtime accelerators (CPU, CUDA, MPS, WebGPU), and strict permissive licenses.
Qualified ML Libraries
Independent, benchmarked libraries with strict training vs. inference hardware separation.
NumPy
NumPy Developers / NumFOCUS
The fundamental package for scientific computing with Python.
SciPy
SciPy Community / NumFOCUS
Fundamental algorithms for scientific computing in Python.
pandas
pandas Community / NumFOCUS
Flexible and powerful data analysis and manipulation library for Python.
Polars
Polars / Open Source
Blazingly fast DataFrames powered by a multi-threaded Rust query engine.
Apache Arrow
Apache Software Foundation
Universal columnar in-memory data format and zero-copy transport layer.
Production Reference Recipes
Battle-tested end-to-end recipes pairing data modalities with tested hardware and deployment placement.
SaaS Subscription Churn Prediction
Identify accounts at high risk of cancelling 60 days before contract renewal, enabling proactive CSM intervention.
Enterprise Technical Documentation RAG
Empower engineers and customer support agents to query internal runbooks and architecture docs with cited, verifiable answers.
Industrial IoT Predictive Maintenance & Anomaly Detection
Detect early bearing wear and vibration anomalies on factory turbines 72 hours before catastrophic thermal seizure.
Real-Time Financial Transaction Fraud Detection
Evaluate card payments and wire transactions for fraud probability under a target SLA of sub-10ms p99 latency, preventing financial loss while minimizing false declines.
Hierarchical Retail Store-SKU Demand Forecasting
Forecast 14-day daily unit demand for 50,000 store-SKU combinations to optimize inventory replenishment and minimize stockouts.
Automated Optical Inspection (AOI) for Surface Defects
Segment and classify microscopic scratches, dents, and voids on manufactured PCB and metallic components at 60 parts per minute.
Clinical Notes NER & HIPAA/KVKK De-identification
Extract medical conditions, dosages, and protect patient privacy by scrubbing names, dates, and locations from unstructured doctor notes with 99.5% entity recall under deterministic human supervision.
Real-Time E-Commerce Session & Next-Item Recommendation
Recommend personalized related products based on in-session click sequences in < 15ms, boosting cart additions and cross-sell revenue while maintaining strict user privacy boundaries.
Integrated with Systems, Failure Patterns, and Templates
Every ML Atlas entity links symmetrically to Incidentpedia failure patterns (CUDA mismatch, feature drift, GPU OOM), concrete platform systems (Inference Server, Drift Monitor), and technical documents.