Projects
The Architect
Production (PyPI)Public • Open-Source
- Autonomous lifecycle management for agentic AI coding tools—plans, executes, retries, reviews, and retains knowledge with zero supervision.
- Implements persistent project memory via ARCHITECT.md to accumulate decisions, constraints, and insights across sessions.
- Multi-signal completion detection and robust circuit breakers prevent agent deadlocks and hallucinations.
- Supports headless and CI workflows with live tmux dashboard for flexible deployment.
- Released on PyPI with compatibility for Claude Code and OpenCode, enabling seamless installation via pip.
MHIL
Concept & Early Prototyping (TRL-5)Semi-Stealth • Non‑Profit
- Machine Human Intelligence Lab (MHIL) is a non-profit research institute developing benchmarks and evaluation protocols that transcend narrow LLM tasks to assess true machine intelligence.
- Designs human-aligned test batteries for agents, tool-using systems, and composite architectures, evaluating capabilities like memory, planning, robustness, and autonomous reasoning under uncertainty.
- Creates an open evaluation matrix facilitating direct comparison across models, vendors, and architectures, targeting future ‘pre-superintelligent’ systems.
- Focuses on reproducible scorecards, defined capability tiers, and safety-critical thresholds aimed at real-world deployment standards.
MazeByte
SOTA Proof of Concept (PoC)Semi-Stealth
- Proof-of-concept demonstrating fully autonomous, self-maintained AI agents for end-to-end ETL automation in data engineering.
- Employs infant-like feedback mechanisms based on reward and pain signals, combined with resource-seeking and self-preservation behaviours, enabling continuous adaptive learning.
- Generates pseudo-code modules supporting memory, search, optimisation, and pipeline orchestration.
- Built around a proprietary MBI internal model, MazeByte aims to eliminate manual intervention in data pipeline creation and maintenance by treating data systems as adaptive, agent-driven entities.
SightBit
SaaS (TRL-9)Public
- Real-time computer vision platform for drowning prediction, human and vessel detection, and flood-risk alerting, operating on standard CCTV feeds without requiring specialised sensors or site-specific calibration.
- Utilises a panoptic segmentation model enhanced by a proprietary data augmentation pipeline, significantly improving recall rates for small-object detection.
- Engineered for operational reliability and scalability in safety-critical aquatic environments, delivering continuous monitoring with immediate risk detection capabilities.
AdaptiveBridge
Production-ready (TRL-8)Public • Open-Source
- Open-source Python library ensuring robust ML model predictions despite missing features at inference time.
- Predicts and reconstructs missing data dynamically, maintaining model performance in real-world, imperfect environments.
- Features configurable thresholds for feature importance, correlations, and accuracy metrics, supporting custom logic and automatic distribution handling.
- Provides a drop-in estimator interface integrating seamlessly with existing ML pipelines via fit and transform methods.
- Manages complex feature dependencies including mandatory, deviation, and hierarchical features to optimise model resilience.
Jhive
Production (TRL-7)Public • AIforGood
- Production-grade Django web application leveraging the OpenAI API for real-time antisemitic content detection and analysis.
- Offers a detailed reporting interface for content review and moderation workflows.
- Provides secure RESTful API endpoints featuring rate limiting and thorough input sanitisation to prevent injection attacks and misuse.
- Engineered for reliability and safety in sensitive content moderation contexts, designed specifically to address antisemitic content rather than general toxicity.