Latent Boom - Deep-tech R&D House · Mons · Mostaganem · New York
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Deep-tech R&D house · Mons · Mostaganem · New York

we research it. we build it. we sell it.

Latent Boom is an R&D lab. Consulting pays for research. Research drives products.Everyone here holds or is doing a PhD. Everyone is building something for the future.

Hire the lab See what we build
Discipline
End to End.
Working out of
USA · BELGIUM · ALGERIA
Where we are based

Three cities, one lab.

Research and hardware in Mons. Recruiting and academic work in Mostaganem. Clients and commercial work in New York.

Mons
Belgium · headquarters, lab and hardware
Mostaganem
Algeria · academic partnership and hiring
New York
United States · clients and commercial work

Three fields, one loop.

01

Research

We pick problems that are still open and work them for years, not sprints. Methods get published and the code gets released.

02

Consulting

A handful of engagements a year fund the lab. Data, models, edge deployment. The client gets a system that ships; we get runway.

03

Ventures

When a result holds outside the lab, we spin it into a company and staff it. 

What we work on
01 Programme

Synthetic Data Generation

Generating the data you cannot collect. Images and video, but also text, tabular records, time series and raw sensor traces. We build the set, measure whether it is balanced, and only then spend money on labelling.

Diffusion Text & tabular Simulation Dataset balance
Work with this team
Rendered grid of generated points
Hands working on an electronics board
02 Programme

Edge AI / Embedded Systems

Models that run on the device, in the weather, on the power budget it actually has. Vision, audio and sensor streams, quantised and pruned so they keep working after the van drives away.

NVIDIA Jetson Quantisation Real time Distillation
Work with this team
03 Programme

Stereo 3D Perception

Stereo, lidar and point clouds turned into distance, volume and clearance. Built for sites where a single flat frame cannot tell you whether something is about to go wrong.

Stereo Lidar Point clouds Calibration
Work with this team
Close up of a twin-lens camera, two lenses stacked
Two workers supervising a crane lift on site
04 Programme

Industrial Applications

The events you need to detect are the ones that almost never happen, so the recordings do not exist. We generate them, across camera feeds and sensor logs alike, then prove the detector holds on the real site.

Rare events Predictive maintenance Quality control On-site trials
Work with this team
05 Programme

Autonomous Systems

Perception when the sensor is losing: direct glare, night rain, spray, occlusion. Fusion across cameras, lidar and radar so the road is still there when one of them goes blind.

Glare & night Lidar & radar Sensor fusion
Work with this team
Long exposure of traffic on a road at night, light trails in fog
A cabinet of metal movable type
06 Programme

LLMs in Production

Fine-tuning open models on your own corpus, in your own language, then building the harness that proves it got better. Chat assistants that answer from your documents, with the retrieval and the refusals tested rather than hoped for.

Fine-tuning LoRA Retrieval Chat assistants Evaluation
Work with this team
07 Programme

Agentic Systems

Models that call tools, read a codebase, label a dataset, or drive an internal process end to end. We build the orchestration, then instrument it so a failure is visible instead of silent.

Tool use VLM annotation Orchestration
Work with this team
Articulated machinery mid-operation
Network switches and cabling in a server room
08 Programme

Data Management Systems

Most teams cannot say what is in their training set. We build the catalogue, the versioning and the labelling pipeline that makes a corpus something you can audit, split and trust, whether it holds images, documents or sensor logs.

Catalogues Versioning Labelling pipelines Provenance
Work with this team
Also under way, seats open
Robotics perception

Grasping and navigation where no dataset described the room.

Speech and audio

Recognition and diarisation in noise, on device.

Compression

Small models that survive the drift after deployment.

Simulation

Unity3D twins built before a camera is installed.

Ventures

All ventures
Active eGov identity

Hawiya

A national digital authentication platform. Verify once, reuse across public and private services. The model itsme established, built for markets without it.

Exited B2B data

Minelead

Lead generation at scale: production crawlers, a company and contact graph, thousands of monthly subscribers. Co-founded and run from 2019 to 2021.

Deepilia, UMONS University of Mostaganem Velmeni Trusted AI Labs Deepilia, UMONS University of Mostaganem Velmeni Trusted AI Labs Deepilia, UMONS University of Mostaganem Velmeni Trusted AI Labs

We love hard problems.

We take a small number of engagements each year. If it needs new research, it is the right fit.