Commercial products and research-backed AI assets.
ALTERNATIX Lab will progressively turn research, benchmarks and engineering systems into international products, APIs and tools.
Golden Gauss AI
A predictive machine learning system for gold markets using feature engineering, gradient boosting, ONNX runtime, and MetaTrader/MQL5 integration for probability-based trade execution on XAUUSD.
Research assets & tools
Benchmarks, packages, and research-backed systems that demonstrate technical depth and product capability.
ATLAS Benchmark
Adaptive Testing of Learning Across Substrates
A benchmark suite designed to measure how AI systems learn through interactive tasks, not only what they already know. Evaluates learning ability, adaptation, and failure modes across multiple learning faculties.
Fine-Grained Animal Species ID Benchmark
Multimodal species classification benchmark
A benchmark evaluating multimodal LLMs on expert-level biological classification across animal species using iNaturalist-style observations and a two-stage verification methodology.
Short Activist Predictor
Financial text classification package
A published Python package and Hugging Face model for financial text classification using BERTopic and scikit-learn, with full CI/CD pipeline.
GeoFM Crop Classification
Remote sensing crop classification project
Competition solution for Amini/NASA crop classification using geospatial data pipelines, NASA PRESTO foundation model, and satellite imagery analysis.
Startup Failures Dataset
Kaggle dataset of startup post-mortems
Curated dataset tracking startup failures across industries, funding stages, and regions. Includes collection, cleaning, and structured formatting for analysis and ML training.
Future product directions
Planned product lines building on current research and technical capability.
Workflow Agents
Agents for reports, research, monitoring, data workflows, customer support, and internal operations.
Want to discuss product opportunities?
ALTERNATIX Lab is open for product partnerships, licensing discussions, and collaboration on AI tools.