Engineering
Life. Digitally.
An accurate and intelligent protein structure prediction platform. Accelerate drug discovery with next-generation AI models.
From Algorithms
to the Cure.
Foldexa was created by four enthusiasts: Azamat, Kanat, Issabek and Rauan with a vision to democratize protein science.
We combine state-of-the-art diffusion models (DiffAb, RFdiffusion) with AlphaFold2 to create a seamless pipeline for de novo antibody design.
Our Pipelines
Simple. Powerful. Fast.
Step 03
Generate
Step 04
Analyze Results
Step 01
Upload Structure
Step 02
Choose Pipeline
Step 03
Generate
Step 04
Analyze Results
Step 01
Upload Structure
Step 02
Choose Pipeline
Pipeline Benchmark vs.
World-Class Platforms
Anti-Tie2 CDR redesign · AF2-multimer predicted metrics · In Silico metrics · February 2026
Core Metrics Comparison
Interface PAE (i_PAE)
Lower = higher confidence in binding pose
Foldexa.bio
Best (#1)
Foldexa.bio
Top-10 avg
Reference
hTAAB-hTie2
Chai-2
(median)
CDR-L1 Backbone RMSD
Angstroms (Å) — lower is better
Foldexa.bio
Best (#1)
Foldexa.bio
Top-10 avg
Reference
hTAAB-hTie2
DiffAb
(scRMSD)
Binding Free Energy (Rosetta ddG)
kcal/mol — more negative = stronger binding
Foldexa.bio
Best (#4)
Foldexa.bio
Top-10 avg
RFdiffusion
(Bennett)
Reference
hTAAB-hTie2
Key Performance Indicators
(10/10 designs passed)
(near-native)
(kcal/mol)
(interface confidence)
(structure quality)
Pipeline Feature Comparison
| Feature | Foldexa.bio | RFdiffusion | DiffAb | Chai-2 |
|---|---|---|---|---|
| CDR redesign | ✓ All CDRs | ✓ | ✓ | — (structure only) |
| Hit rate | 100% (10/10) | ~30–60% | ~25% | N/A |
| Structural validation | AF2-multimer | AF2 / ESMFold | RMSD only | Built-in |
| Binding energy scoring | Rosetta ddG | Rosetta / PyRosetta | — | — |
| End-to-end pipeline | ✓ Automated | Manual assembly | Manual | Inference only |
Note: Foldexa.bio metrics from AF2-multimer predictions. Cross-platform metrics not directly comparable.
We are Foldexa
Four different paths.
One shared obsession.
We came from different worlds — bioengineering, software, business, and systems architecture. But we shared one belief: protein engineering should be accessible to everyone.
Azamat Armanuly
CEOBioengineer — KAIST
"Understanding life at molecular level"
Kanat Tilekov
CTOSoftware Developer & Data Analyst
"Building the infrastructure science deserves"
Sarzmuza Issabek
COOBusiness & Growth
"Turning scientific power into real-world impact"
Rauan Bolat
CPOProject Manager & Product Developer
"Architecting systems from concept to execution"
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Azamat Armanuly
CEOBioengineer — KAIST
"Understanding life at molecular level"
Kanat Tilekov
CTOSoftware Developer & Data Analyst
"Building the infrastructure science deserves"
Sarzmuza Issabek
COOBusiness & Growth
"Turning scientific power into real-world impact"
Rauan Bolat
CPOProject Manager & Product Developer
"Architecting systems from concept to execution"
Four disciplines. Four founders.
One platform.
Foldexa brings biology, software, and vision together to accelerate the future of protein engineering.
To democratize protein engineering and make cutting-edge AI tools accessible to researchers worldwide.
We believe that breakthrough discoveries shouldn't be limited by computational barriers.
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