Building the reasoning layer for
industrial manufacturing.

Our mission is to give engineers the reasoning infrastructure to diagnose, understand, and master their most ambitious creations

We built Lattice because the way the industry handles quality is hitting a mathematical limit. The complexity of modern manufacturing has outpaced the human ability to investigate it.

Today, quality teams are forced to trade depth for speed. Complex failures get compressed into simple narratives. Deviations are attributed to "operator error" not because it's true, but because it's plausible enough to close the CAPA.

This is a diagnostic capacity problem. You cannot fix what you cannot effectively reason about.

Lattice is an agentic reasoning engine designed to close this gap. We provide the infrastructure to move from "root cause" (a convenient fiction) to a true understanding of the system state that allowed a failure to occur.

Leadership

Engineers who have built at the intersection of complex systems, software, and manufacturing.

Mohamadou Bella Bah

Mohamadou Bella Bah

Founder & CEO

MIT

Previously Google & Google X

Studied EECS at MIT, specializing in multi-agent system research in energy infrastructure. Previously at Google X building electric grid software.

Sharbel Karam

Sharbel Karam

Head of Product & Customer Success

Embry-Riddle · Johns Hopkins University M.Sc.

Previously Northrop Grumman, Kitty Hawk, LTA Research

15 years in hardware quality across defense, experimental aviation, and early-stage hardware. Six Sigma Black Belt.

Built with 20+ years of quality expertise by engineers from

MITJohns Hopkins UniversityGoogle XGoogleNorthrop GrummanKittyhawk

Supported by

NVIDIA Inception program
AutodeskResearch Residency
Plug and Play

Start with an investigation your team can explore.

Begin with a tailored dataset and engineer's guide, or bring a closed case your team knows well. See how Lattice builds the evidence trail before deciding whether to use your own live data.