We overcome technical bottlenecks with PhD-level expertise and high-precision data.
Transforming raw data into high-precision, AI-ready training datasets.
Your external R&D department solving fundamental AI challenges.
An innovative idea, but technical feasibility is unclear.
Internal teams are maxed out; no time for deep optimization.
Choosing the wrong AI technology leads to high costs.
We analyze the state-of-the-art and deliver a solid feasibility study.
As your external R&D department, we relieve your experts and accelerate innovation.
You receive a clear roadmap, which we can also implement directly if desired.
Learn from our AI Lead Mahdi Mantash how we connect research and production.
No trial and error. A deterministic process from raw data analysis to deployable model weights.
PHASE 01
We identify the mathematical bottlenecks of your current solution. Together, we define hard, measurable KPIs (e.g., IoU, F1-Score) that determine project success.
PHASE 02
Data quality is not accidental. We develop strict annotation guidelines and utilize domain experts (Human-in-the-Loop) to clearly define edge cases and eliminate noise.
PHASE 03
We adapt model architectures to your data, not the other way around. Using custom loss functions and hyperparameter tuning, we enforce convergence to SOTA levels.
PHASE 04
Transparency instead of a black box. We validate the model against unseen test sets. You receive the trained weights, the code, and full IP ownership.
Mahdi Mantash
AI Lead & Co-CEO
"The success of demanding research projects depends on the person leading them. Mahdi combines rare expertise in theoretical mathematics, data science, and his current PhD work in LLM Fine-Tuning."