Data foundations
Turning fragmented operational sources into context that models and engineers can share.
Asayl Labs
Grounded intelligence for the physical world.
Asayl Labs builds AI systems that learn from real operations, human judgment, and evidence.
We believe the next step for intelligence is not only better models, but better contact with reality: machines, measurements, constraints, failures, operators, and decisions.
We are starting in physical industry because it is where intelligence must be grounded, checked, and improved with humans in the loop.
01
The bottleneck is not only intelligence. It is grounding.
Language models can reason over what has already been written. Physical systems ask for something harder: intelligence that can work with signals, tools, procedures, operators, simulations, and measurements.
The path to more general intelligence runs through systems that can test claims against reality.
For us, the human is not a temporary workaround. The human is part of the loop that defines what matters, catches what models miss, and turns raw prediction into trusted action.
02
We are building the substrate for human-guided physical AI.
Operational context
Linking signals, events, procedures, and constraints into a live picture of work.
Verified intelligence
Keeping humans, measurements, and constraints in the loop before automation acts.
03
Who we are
Our founding team comes from ENSA Berrechid and works across ML systems, data engineering, software, product design, aerospace, robotics, and embedded systems. We have built MLOps workflows, pharma software, airport systems, product and data tools, and robotics and embedded systems.
Elwalid Aboulaakoul
ML systems & research engineering
MLOps at Intelcia; software at Euromodial; ENSA infrastructure.
Ahmed Ben Ahmed
Data engineering & software systems
Pharma software; industrial data systems.
Imrane Hajji
Product design & go-to-market
Design, GTM, and data/product systems.
Oussama Latif
Aerospace & embedded systems
ONDA Casablanca Airport; embedded systems.
Mouaad Remzaoui
Aerospace, robotics & embedded systems
Royal Air Maroc; robotics and industrial automation.
04
Academic guidance
We are advised by professors working across engineering, infrastructure, and applied systems.
Prof. Abdeljalil Sakat
Computer science, mathematics, PINNs, optimization, and numerical modeling
Prof. Driss Harrizi
Competitive intelligence, governance, strategic management, and higher education
Prof. Ahmed Nafidi
Statistics, probability, stochastic processes, and applied mathematics
Prof. Abdellah Jamali
Computer networks, cloud computing, AI, deep learning, and network security
Prof. Moumoun Lahcen
Artificial intelligence, computer vision, machine learning, and signal/image processing
05
Work with us
We are looking for industrial and research partners working where humans already make hard decisions around real machines: factories, engineering teams, test benches, and applied R&D groups.
A first conversation can start from a workflow, schema, sample, synthetic dataset, or controlled context.