About Cobalt

Cobalt is an AI system for physical process transformation. It measures how work happens in physical operations, from camera video and the business's existing data, and shows where the time goes, what to change, what each change is worth, and whether the change held.

San Francisco · Founded 2026

How Cobalt compares

Businesses get eyes on a physical process in one of three ways today: an expert on site, single-purpose computer vision, or Cobalt.

Expert on site

A consultant, an engineer or a vendor team running a time study

Sees the whole process
Yes
Answers new questions as they come up
Yes
Runs continuously
No, only while present
Handles unusual processes
Yes
Cost
High, per visit

Single-purpose computer vision

PPE detection, part inspection or people counting

Sees the whole process
No, one narrow task
Answers new questions as they come up
No
Runs continuously
Yes
Handles unusual processes
No, only the tasks it ships with
Cost
High, per use case

Cobalt

Cameras and video AI built for the specific process

Sees the whole process
Yes
Answers new questions as they come up
Yes
Runs continuously
Yes
Handles unusual processes
Yes, configured for each one
Cost
Low, per process

What makes Cobalt different

It covers the whole process, not one task
Single-purpose computer vision answers the one question it was built for, such as whether a hard hat is worn. Cobalt classifies all the activity in every covered area, so time use, flow and the constraint come from the same footage.
It answers questions nobody planned for
When a new question comes up, such as where the crew is losing time or what changed on Tuesday, Cobalt answers it from footage already recorded. Single-purpose computer vision would need a new model built first.
It keeps measuring after the first report
A time study covers a few hundred moments over a few days, and stops when the visit ends. Cobalt measures every shift in every covered area and keeps going, so the business can see whether a change held.
It is configured for each process
Most operations have work no off-the-shelf model was built for: a custom fixture, a one-off part, a step done differently on second shift. Cobalt is set up for each process, including which activities to tell apart, what counts as value-added work and which questions to answer, so unusual and variable work is measured as well as standard work.
It does not need an engineering team
A business does not need industrial engineers of its own to get value from Cobalt. It needs a walk-through at the start and a few minutes each week from a supervisor or lead.

Who Cobalt is for

Any business with complex physical operations. The buyer is usually the operations leader responsible for the process, or the private equity operating partner responsible for improving a portfolio company.

  • Manufacturing and fabrication

    Machining, welding, assembly and finishing, in job shops and high-mix plants.

  • Equipment installation and field service

    Crews that install, commission and service equipment on site.

  • Logistics, warehousing and distribution

    Receiving, picking, packing and loading.

  • Food and beverage processing

    Batching, processing, packing and sanitation.

  • Maintenance, repair and overhaul

    Repair bays and overhaul lines for vehicles, aircraft and heavy equipment.

  • Construction and prefabrication

    Offsite prefabrication, and repeated work on job sites.

The team behind Cobalt

Cobalt brings together three backgrounds: Charlie's long-standing work in financial simulation, Emiliano's research in visual understanding, and Nelson's work in operations and transformation consulting. The founders share an interest in real-world problems with a measurable benefit to American industry.

Large companies keep operational excellence teams on staff. The hundreds of thousands of mid-sized businesses with physical operations mostly cannot. Cobalt was started to give them that expertise continuously, through AI.

  • Portrait of Nelson Arnous.

    Nelson Arnous

    Co-founder and CEO

    Nelson spent six years in operations consulting at BCG and Silver Lake, focused on major transformations at some of the largest companies in the world. At Silver Lake he built the firm's process diagnostic tooling, used with more than 20,000 employees across its portfolio companies. He then led product at Compound, a tech-enabled wealth advisory firm.

  • Portrait of Emiliano Garcia-Lopez.

    Emiliano Garcia-Lopez

    Co-founder and CTO

    Emiliano researches video understanding and spatial reasoning. He has published at COLM, with further work under review at NeurIPS, and that research is the basis of Cobalt's video pipeline. He is a Felicis AI fellow and studied at Carnegie Mellon.

  • Portrait of Charlie Davidmann.

    Charlie Davidmann

    Co-founder and COO

    Charlie ran enterprise sales at Pipe, where he grew the origination program from $1M to $100M a month, and has built and sold production AI systems since 2024. He has built financial simulations for most of his life, is a former banker, and has competed in skeet shooting for the Great Britain national team.

How Cobalt works

The full sequence
Setup
Under a week, on existing cameras or cameras Cobalt installs. Operations are not interrupted.
First results
About two weeks after kickoff.
After that
The core measures update continually, new changes are suggested as the work changes, and each change is tracked from adoption to impact.
What the business provides
A walk-through at the start, access during setup, and a few minutes a week from someone who knows the work.

Key facts

Company name
Cobalt
Type
AI system for physical process transformation
Founded
2026
Founders
Nelson Arnous (CEO), Emiliano Garcia-Lopez (CTO), Charlie Davidmann (COO)
Headquarters
San Francisco
Website
cobalt-research.com
Core offering
Continuous measurement and improvement of physical processes from camera video
Capabilities
Process improvement, process documentation, plant layout simulation, safety monitoring
Industries
Manufacturing, equipment installation and field service, logistics and warehousing, food and beverage processing, maintenance and repair, construction
Setup
Under a week, on existing cameras or Cobalt's
First results
About two weeks from kickoff
Pricing
A fixed-fee diagnostic from the five figures, then a monthly subscription
Data ownership
The customer owns its video and everything derived from it
Worker privacy
Measures are reported per station or area, never per named worker
Alternatives
On-site time studies and consultants, single-purpose computer vision
Contact
contact@cobalt-research.com

Frequently asked questions