Antimicrobial resistance · Diagnostic intelligence

Interpret resistance.
Inform treatment.

ResistIQ Diagnostics is a South African company developing antimicrobial-resistance diagnostics and clinical decision-support tools to help interpret bacterial genomic evidence.

In development · Pre-market · Not for clinical use
complex biological evidence
INTERPRETED OUTPUT concept view
Evidence linked.

A structured interpretation brings multiple resistance signals into one clinical view.

Evidence context
Illustrative product concept. Not a clinical result.
clinically meaningful insight
The scale of the problem

Antimicrobial resistance is already changing the odds.

Global burden data makes the urgency difficult to ignore.

4.71M

deaths associated with bacterial AMR globally in 2021

WHO / GBD 2021
1.14M

deaths directly attributable to bacterial AMR in 2021

WHO / GBD 2021
1 in 6

laboratory-confirmed bacterial infections were antibiotic-resistant in 2023

WHO, 2026 AMR fact sheet

Sub-Saharan Africa experienced the highest AMR mortality rates.

WHO Regional Office for Africa
01
The decision gap

Detection is only the beginning.

Genomic data can reveal resistance evidence. The harder problem is translating that evidence into something useful when a clinical decision has to be made.

02
Our approach

From biological evidence
to clinical intelligence.

01 · DETECT

Start with the biological evidence.

Identify genomic resistance determinants and relevant sequence features from microbial data.

Evidence first. Interpretation second.
03
Why it matters

Data only matters
when it can change
a decision.

ResistIQ is being built around the gap between detecting resistance evidence and interpreting what that evidence means in a diagnostic workflow.

Not another data dump.
A clearer interpretation.
04
Science & development

Build the evidence.
Then earn the claim.

ResistIQ Diagnostics is in development. Clinical validity, clinical utility and regulatory approval have not yet been established. Our work is intended to complement phenotypic antimicrobial susceptibility testing (AST). It does not replace phenotypic AST or diagnose directly from patient samples.

01 Computational prototype

Software architecture and genomic analysis workflow under active development.

02 Analytical validation

Testing against curated genomic datasets and phenotype-linked reference data.

03 Clinical evidence

Future prospective validation and real-world diagnostic studies will be required.

04 Regulatory pathway

Future pre-market regulatory and quality-system development.

05
Built for the diagnostic ecosystem

Clarity for the people
who have to act.

01

Clinical laboratories

Translate genomic resistance evidence into a structured interpretation layer.

02

Stewardship teams

Bring resistance evidence into antimicrobial decision-making workflows.

03

Clinicians

Support more informed treatment discussions with evidence-linked insight.

04

Research partners

Build, test and challenge the evidence base behind genomic interpretation.

ResistIQ Diagnostics
The company

Diagnostics built around interpretation.

ResistIQ Diagnostics is a South African biotechnology company developing antimicrobial-resistance diagnostics and clinical decision-support tools. Our aim is to make complex microbial resistance evidence easier to interpret within future diagnostic workflows.

Our official website is resistiq.co.za. ResistIQ Diagnostics is independent of the unrelated Resistance IQ at resistiq.com.

Work with us
Collaboration

A more resilient tomorrow will be built together.

We’re interested in conversations with diagnostic laboratories, AMR researchers, clinical collaborators, sequencing partners and organisations working on antimicrobial resistance.

Business and collaboration enquiries only. Do not include patient information, clinical records, genomic data, passwords or payment details.

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Development status

ResistIQ Diagnostics is an early-stage research and development venture. The platform is not currently approved for clinical diagnosis or treatment selection and should not be used for patient-care decisions.