Data Science
EDA, statistical modeling, forecasting, and causal inference, turning messy operational data into decision-grade insight.
- Forecasting
- A/B Testing
- Causal Inference
Virginia-based AI and software company. We build machine learning, generative AI, IoT, data science, business intelligence, and predictive maintenance systems for organizations that need them to actually work in production, not in a sales demo.
We own the full stack, from baseline benchmarking to deployed model, monitoring, drift detection, and the on-call rotation that catches a regression before your customers do. Shipped systems in healthcare, defense, manufacturing, finance, and the public sector.
Every system we ship has to survive years in production, not a 30-minute demo. Reliability, accuracy, and ownership are the deliverable; everything else is decoration.
We build production AI systems: Generative AI, Machine Learning, Predictive Analytics, and Forecasting models. Not proofs of concept that sit on a shelf, working systems that ship and stay shipped.
Beyond the models themselves, we build the visualization layer that puts results in front of decision-makers, the evaluation harness that keeps the models honest, and the operational tooling that catches drift before customers do.
We don't sell AI. We ship software that your customers use every day, and that pays for itself in measurable outcomes.
Generative AI, Machine Learning, Predictive Analytics, and Forecasting systems for teams that need AI working in production. The pages below describe what each looks like in practice.
EDA, statistical modeling, forecasting, and causal inference, turning messy operational data into decision-grade insight.
Production ML models, supervised, unsupervised, deep, reinforcement, benchmarked, deployed, monitored, and retrained on cadence.
From warehouse to dashboard, one source of truth, governed metric layers, and self-service analytics every team can trust.
Hands-on cohort-based programs for executives, engineers, and operators, built around your domain, your data, your constraints.
Where physical sensors meet intelligent inference, telemetry pipelines, edge AI, digital twins, and predictive maintenance.
RAG pipelines, fine-tuned LLMs, conversational agents, and document understanding, with grounded outputs and audit trails.
Tell us what you're trying to build. We'll come back with a clear path forward, or a clear "no, this isn't an AI problem". Either is more useful than a sales pitch.