An R&D Learning System

Most R&D teams run too many experiments and learn too little from each one

Every laboratory has a Quality System. Very few have a Learning System.

DoxBox is that Learning System — so every experiment makes your laboratory smarter,

not just your scientist.

What an R&D Learning System does

An R&D Learning System sits one level above the chemistry. It turns every experiment into

knowledge the organization keeps — and changes the question at the end of a project from

"Did we finish?" to "Is this laboratory now better at solving the next one?"

Traditional R&D

| Experiment → Result → Report → Next project

An R&D Learning System

Experiment → Learning → Prediction → Capability

Chemistry changes from project to project. The learning system does not.

How DoxBox is built:

A simple R&D Learning System has three parts — a way of thinking, a machine, and a memory:

1. DEPLOY™ — the framework. Six steps, in order, the same on every project:

  • Define the problem

  • Establish reproducibility

  • Plan the experiments ·

  • build Linear models

  • Optimize

  • plaY "what if."

2. DoxScope™ — the learning engine.

Three simple files in, one button, under a minute out: 100+ graphs, two dozen tables,

the models, the optimum, and Manufacturing's control settings.

By hand, that report is 40–80 hours in Word and Excel — which is exactly why

most reports never get written, and the knowledge quietly disappears.

3. Distillate™ — the laboratory's memory.

What every finished project leaves behind, including what didn't work.

Manufacturing troubleshoots without calling the lab. The next project starts from knowledge

instead of from scratch. A retirement stops being a data-loss event — and teams stop duplicating each other's failures.

4. And a live Dashboard — every project, every scientist, every step — so managers manage on

evidence, not monthly reports. Plus Fred, a guide built from 40 years in the lab, sitting

beside every scientist. When someone is stuck at four in the afternoon, they ask Fred.

*(No statistics degree required.)

What you get:

  • Better experiments — more usable information from fewer runs

  • Faster, evidence-based decisions

  • A professional technical report in under a minute instead of weeks

  • A permanent, searchable record of what the lab has learned

  • A learning practice that compounds — the lab gets smarter with every project

Proof

- 20–70% less problem-solving time

- 50% lower R&D testing, material, and labor cost

- 200–300% more usable information from the same number of experiments

- 40–80 hours of report writing → under one minute

One project, concretely. A team was stuck at 550 pounds an hour. Four factors could have

been responsible. A designed experiment answered all four in nine runs. 550 became

770 — a 40% gain — and Manufacturing's control settings came out of the same nine runs.

A catalyst scale-up added $750K a year;

A fluorinated-compound line reached full commercialization.

About

DoxBox is built by FastR&D, the practice of Mukul Mehta — 40+ years in US industrial

R&D and 850+ chemists and scientists trained. The DEPLOY framework was published in 2015

and hasn't needed to change since.

Call to Action

Apply to join the Early Adopter Group — a small group of R&D teams putting a simple

Learning System to work on real projects.