Public sector
Model national-scale data on a single server.
From crime data to health records to public budgets, put your numbers to work without adding infrastructure.
Fast by design
Full network data reconciled in hours, not days.
Data stays put
On-premise or private cloud. Citizen and administrative data never leave your infrastructure.
Built for scale
Processes billions of records a day on a standard server.
Our approach
Built for what public sector actually needs.
Anatella | Data prep engine
Connect to any sources
Legacy SQL systems, national databases, administrative registers and open data, integrated without a platform migration.
Processes at national scale
Tens of terabytes and hundreds of millions of new records a year, refreshed daily on a single server.
One pipeline, one server
No cluster, no cloud dependency. Runs entirely within your own infrastructure.
Modeler | Predictive Engine
Automatic variable selection
Thousands of candidate variables, reduced to the ones that actually explain a pattern, a risk or a budget shift.
Algorithms competing mathematically
Several models benchmarked against each other, the best retained on statistical merit.
Built-in Drift Report
Flags a forecast or churn model losing accuracy as seasons or buying patterns shift.
SOLUTIONS
What that looks like in production.
97.2% accuracy forecasting a €50M budget
A French department forecast its welfare budget in 8 weeks, on one computer, with a team of 3.
Processing time cut by over 70%
National criminal databases refresh in under 6 hours, down from 24+, to prioritize interventions.
A national registry sized for 8 years ahead
Peru centralizes id records and document tracking on a single Anatella server, no upgrades needed.
30+ TB health registry, on one server
400 million new records a year, processed on-premise, the only tool to meet the deadline.
Problems solved
What government agencies fix with TIMi.
Reporting that lags behind reality
Data takes a day or more to reach decision-makers, by which time the situation on the ground has already changed.
Legacy systems that resist modernization
Hundreds of aging SQL processes keep agencies locked into platforms too slow to analyze, let alone predict.
Sovereignty traded for scale
Handling national volumes of sensitive data often means depending on external cloud infrastructure agencies don’t fully control.
Expertise spread too thin
Small teams are asked to forecast budgets or detect patterns in national data without dedicated infrastructure or specialist staff.
FAQ
Common questions.
What is TIMi used for in the public sector?
Government agencies use TIMi for criminal intelligence, national registries, health data sovereignty and budget forecasting. Deployments include DIJIN (criminal pattern detection), Minsalud (national health data), Peru’s national registry and a French département (budget forecasting).
Can TIMi process national-scale sensitive data without external infrastructure?
Yes. For Minsalud, TIMi processed a 30+ TB repository and 400 million new records a year on a single server, with no external cloud.
Can TIMi run entirely on-premise for a government agency?
Yes. TIMi runs on a single server, on-premise or in a sovereign private cloud, with no cluster and no dependency on external cloud providers.
Can a small team forecast a public budget?
Yes. For a French département, a team of 3 reached 97.2% forecast accuracy on a €50 million welfare budget in 8 weeks, on a single desktop computer.
How much faster can TIMi make reporting than a legacy SQL platform?
For DIJIN, TIMi cut processing time by over 70%, refreshing national criminal databases in under 6 hours instead of more than 24.
Does TIMi require a cluster or a cloud migration to handle a national registry?
No. For Peru’s national registry, TIMi runs on a single Anatella server sized for 8 years of growth, with no cluster and no migration required.
SEE FOR YOURSELF
Don’t take our word for it.
Run TIMi on your own data with a free trial or request a live demo.
