AI & predictive modelling · Arlington, VA
Analytica builds predictive and explainable AI for government agencies and large enterprises — grid failures, infrastructure risk, workforce attrition, clinical outcomes. Then we publish working tools so you can check the thinking yourself.
Delivered for
01
Prediction, entity resolution and forecasting on data you already hold — built to run in production, not to sit in a notebook.
02
Curriculum written for analysts and decision-makers, not for a bootcamp. Delivered live, to mixed-seniority rooms, with no programming prerequisite.
03
The dashboard is not the product — the decision is. We build the interface that gets a model in front of the person who has to act on it.
Energy · Utilities
15%
reduction in outage times
A two-stage model that forecasts damage by district, then converts that into the crews and materials to pre-stage.
A major US investor-owned electric utility
Energy · Environment · Public sector
~62,000
incidents analysed
Roughly 62,000 incidents across 38 years. 94% were reported the same day. Only 20% were resolved the same day — a gap that had never been quantified.
Government of Alberta
Automotive · Telematics
78%
identification accuracy
Sensor telemetry from an 11-day, 19,000-kilometre expedition, reduced to a behavioural signature that identifies who is behind the wheel.
A global automotive manufacturer
The Lab
Working software, free, no signup. Most of what a consultancy claims cannot be verified by the person reading it. These can be — in about ten seconds.
Open the Lab →56 interactive visualisations that make scientific and statistical concepts legible.
Statistical power and sample-size analysis for researchers and product teams.
Employee-attrition intelligence. Open it with a demo persona — no account needed.
Sheet resistance and resistivity from four-probe measurements. Runs in your browser.
Founder
Before Analytica, Dr. Abdo spent a decade doing statistical inference on noisy, sparse, high-stakes instrument data — the kind where being wrong gets peer-reviewed in public. PhD in physics from Michigan State, thesis work at Los Alamos, then the U.S. Naval Research Laboratory as a member of the Fermi Large Area Telescope collaboration. Later a Research Staff Member at the Institute for Defense Analyses, and Master Data Scientist at HP.
Every figure above is checkable in a public database. That is the point.
“Working with Dr. Abdo was a real pleasure. His abilities to extract value from big data are first class. Creative thinking, attention to detail, and high personal standards ensured that we were successful in meeting our objectives.”
Not a discovery call about our capabilities. A conversation about the specific thing you need to predict, and whether the data you have can support it.
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