Data Knights Ltd. combines Complex Systems Science, Agent-Based Modeling, enterprise software modernization, and serverless Google Cloud architecture to turn messy multi-variable operations into predictive digital twins and production software.
Bridging academic Complex Systems research with battle-tested enterprise software engineering.
We build bottom-up computational sandboxes to stress-test your operations, supply chains, and resource loops before you commit capital in the physical world.
We architect fast, low-overhead data and AI applications using Rust-backed data frames (Polars) and scale-to-zero containers on Google Cloud Run.
Grounded in real-world corporate backend engineering, we decouple monolithic enterprise applications and connect them to modern cloud analytics.
We design custom embedded firmware and long-range radio sensor networks for off-grid, agricultural, and fleet environments.
Explore our peer-accessible computational models and containerized applications deployed on Google Cloud Run.
An agent-based model simulating closed-loop multitrophic agricultural ecosystems across aquatic species, hydroponic plants, and vermiculture.
Serverless data engineering and automated data-cleaning pipeline utilizing high-speed Polars dataframes, Google Cloud Storage, and BigQuery.
Containerized regulatory compliance application automating visual inspection and text verification against strict federal labeling standards.
Serverless Retrieval-Augmented Generation (RAG) assistant engineered for low-latency document synthesis and domain-specific knowledge retrieval.
High-speed Polars constraint-tracking and quantitative optimization application demonstrating sub-second analytical computation.
Technical lead architecture integrating Python, Visual Basic, and Simio discrete-event simulation to optimize physical robotic operations.
Skip open-ended retainers. Start with a clearly bounded engineering sprint designed to deliver working software or a simulation model.
We isolate a key operational bottleneck and deliver a calibrated NetLogo or Python Agent-Based Model with statistical validation for risk-free "what-if" testing.
We replace manual spreadsheets with a containerized Polars + BigQuery + FastAPI application deployed serverlessly on Google Cloud Run.
We configure dedicated Linux hardware running Ollama and Open WebUI for 100% on-premise document intelligence with zero external API data leaks.
Architecture decisions backed by formal Complex Systems Science training, Computer Science fundamentals, and production enterprise history.