The Lab

Our research and development hub where we experiment with cutting-edge technologies, contribute to open-source, and share our learnings with the developer community.

Our Open-Sourcing Strategy

Building in Public

We believe that the best technology emerges from collaborative development and transparent iteration. Our open-source approach isn't just about giving back—it's about building better products through community engagement and shared innovation.

Core Principles

  • Research-First Development: Every project starts with thorough research and experimentation, making our findings available to the community.
  • Production-Quality Standards: Our open-source tools meet the same quality standards as our commercial products, with comprehensive documentation and testing.
  • Community-Driven Evolution: We actively engage with users, incorporating feedback and contributions to improve functionality and usability.

Current Focus Areas

We're evolving into a developer-first AI studio, building tools and platforms that empower engineers to work smarter with large language models.

Developer Platforms

Platforms and APIs that help developers transform complex challenges into simple solutions.

Flagship product: Contextus, your AI scalpel that cuts token bills by 40% without upgrading your model. We help your AI prioritize what matters & discard the rest. Contextus plugs in whether you're vibe coding prototypes or building with agent pipelines, making your LLM calls run smaller, faster, and truer to your intents.

AI/ML Tooling

Specialized models and tools for exception handling, reconciliation, and next-gen AI experiences.

Includes open-sourced ML models (DistilBERT-Reconciler, Fail-Forecaster, Stress-Flagger) available on Hugging Face.

Commitment to publishing research, white papers, and developer resources to push AI forward.

Contributing Guidelines

We welcome contributions from developers at all levels. Whether you're fixing bugs, adding features, or improving documentation, your input helps make these tools better for everyone.

Getting Started

# Clone any of our repositories
git clone https://github.com/Coreledger-tech/[repo-name]
cd [repo-name]
# Follow the setup instructions in README.md
cargo build --release

Each repository includes comprehensive setup instructions, contribution guidelines, and development documentation.

Open Source Models

Research models and tools available on Hugging Face

DistilBERT-Reconciler

Fine-tuned DistilBERT on 3.2M labeled post-trade break descriptions + resolution actions.

Fails Forecaster

Predicts next-day settlement-fail notional for US Treasuries & corporates using XGBoost + LightGBM.

Settlement Stress Flagger

Flags days where settlement fails are in the top-10% of historic values for proactive remediation.

BERT-Breaks Coming Soon

Vanilla BERT baseline for exception handling & reconciliation project. Training in progress.

White Paper

Musodza, K. (2025). Bond Settlement Automated Exception Handling and Reconciliation. Zenodo.

Projects

From production-ready platforms to experimental lab projects, explore our tools and contributions to the developer community.

Loading projects...