Oslo  ·  Lahore  ·  Islamabad

Health data infrastructure that crosses borders.

We design and build DHIS2-based health information systems, disease surveillance platforms, and AI-powered analytics for governments, NGOs, and international health programs.

OSLO HEALTH SYSTEMS R&D LAHORE DELIVERY & OPS
Built for
Public health ministries
International NGOs
Multi-country health programs
Disaster management authorities
Flagship engineering

Making DHIS2 analytics fast enough to actually use.

01 — IndicatorX

A parallel execution engine, not another query wrapper.

IndicatorX bypasses DHIS2's service-layer overhead entirely — extracting the ProgramIndicator-to-SQL conversion logic and wrapping it as named PostgreSQL functions that run independently of the platform.

The result: program indicator analytics that used to take most of a working day now finish before your coffee's cold.

~8h → ~40mProcessing time, large tracker programs
-- IndicatorX
SELECT * FROM pi_function(
program_indicator_id,
period, org_unit
)
-- decoupled from the
-- DHIS2 service layer
 
-- lateral joins used to
-- optimize execution
02 — AnalytiX

Ask your DHIS2 data a question. Skip the SQL.

AnalytiX answers health-data questions in plain language — no SQL, no DHIS2 API calls, no manual period pickers. Time ranges are just typed in natural language and parsed straight into the query.

Underneath, it runs two independent pipelines depending on what's being asked: a Case-Based pipeline, where an LLM generates SQL against a locally synced DuckDB/ClickHouse copy of tracker data for patient-level questions (TB, child health, etc.); and an Aggregate pipeline for facility-level indicators, also LLM-driven, but with data elements picked from an explicit chip/browser UI rather than extracted from free text. Every answer is also scoped to the org units the asking user is actually permitted to see in DHIS2, enforced from their own login.

> ask AnalytiX:
"how many TB cases were
reported in Punjab last Q?"
 
-- Case-Based pipeline
LLM → SQL → DuckDB / ClickHouse
-- (synced tracker data)
 
-- Aggregate pipeline
chip picker → LLMSQL
What we build

Four systems, one data layer.

Every engagement draws on the same core capability: turning fragmented health data into something a decision-maker can act on in real time.

Core

DHIS2 Implementation & Tracker Systems

Configuration, customization, and large-scale Tracker deployments across national and multi-country programs.

Surveillance

Disease & Early Warning Surveillance

Case-based surveillance systems for TB and other diseases, plus One Health workflows linking animal and human data.

AI / Analytics

AI-Powered Analytics Tools

Natural-language and high-performance analytics engines purpose-built for DHIS2 data — AnalytiX and IndicatorX.

Public sector

Disaster & Emergency Management Systems

Extending DHIS2's data architecture into disaster management ecosystems for provincial authorities.

Where the expertise comes from

Built on real-world DHIS2 delivery.

TerraByte Systems is a new company — these are systems our founding team has designed and built prior to and outside of TerraByte, shown here as background on the kind of work we do.

Case backgroundMulti-country

TB Case-Based Surveillance

Tracker Data Export Service, PPM doctor integration, and an AI-powered case-based query tool for a multi-year TB surveillance program.

Case backgroundPublic sector

DHIS2 for Disaster Management

A pitch and implementation roadmap for bringing DHIS2's data architecture into a provincial disaster management ecosystem.

Case backgroundEarly warning

One Health Surveillance

A workflow connecting animal and human health data streams, with an 8-step implementation roadmap for early warning.

ResearchDHIS2 Annual Conference '26

IndicatorX Conference Paper

"Accelerating Program Indicator Analytics in Large-Scale DHIS2 Tracker Implementations" — submitted to the DHIS2 Annual Conference 2026.

Two bases, one team

Built to work across the Oslo–Lahore corridor.

Norway

Oslo

Close to the DHIS2 core development and research community, where the platform originates.

Pakistan

Lahore · Islamabad

On the ground with national HMIS operations and the government and NGO partners running these systems day to day.

Have a health data system that needs to move faster?

Tell us what you're working on — DHIS2 configuration, a surveillance rollout, or an analytics bottleneck.

hello@terrabytesystems.com