Cogentic
LOCAL-FIRST · ZERO-CODE · AUTOML

Predict scrap, defects, and downtime. Without your data ever leaving the building.

Upload a spreadsheet, get a working prediction model. No code, no data scientist.

In production at a Fortune 100 manufacturerRuns fully offlineAir-gap capable
Your environmentthe cloud
0 bytes left the perimeter
Works with your dataCSVExcelParquetModel enginesCatBoostXGBoostAutoGluon
THE GOLDEN PATH

See it run. The real workflow, in four steps.

No code, entirely on your machine. Click through it.

cogentic · /scrap_prediction · localrunning locally
Drop in your data
CSV · Excel · Parquet: multi-GB capable, read straight from your file system
scrap_data_2024.csv · 2,340,118rows · 14 cols
lineshifttemp_cpressurecycle_msscrap
L-04A218.46.128421
L-01C204.15.889110
L-04B221.76.308051
L-02A199.65.719340

This is a scripted sample. See it on your data →

WHY TEAMS CHOOSE COGENTIC

The predictive capability you own. Not a project you rent.

vs. cloud AutoML

Your data stays put

Cloud platforms assume your data goes to their servers. Cogentic runs where it already lives.

Upload your factory data to someone else's servers.
vs. hiring a data scientist

No six-figure hire to recruit or retain

A data scientist is $150K+, months to hire, and the model leaves when they do. Cogentic makes the institution the owner.

Compete with tech-company comp for talent that can quit.
vs. a consultancy

Re-run it yourself next week

An SI delivers one model and a bill; the next question costs another engagement. Cogentic is a product your team re-runs whenever they want.

A one-off artifact you can't reproduce without them.
vs. doing nothing

Zero new infrastructure

It runs on the data you already have and the machine you already own. “Not yet” stops being the easy answer.

Reactive maintenance, tribal knowledge, and spreadsheets.
“Three weeks from our first spreadsheet to a validated model our own engineer re-runs every week, and nothing we own ever touched the internet.”
Director of Quality Engineering · Fortune 100 manufacturerRepresentative quote · anonymized and paraphrased under NDA
TAILORED DEPLOYMENT

Delivered tailored to your operation. Not shipped as a login and a wish.

Our engineers structure your data, launch the first use case, and hand your team the keys.

01

We assess your data

On-site or remote: which lines, which historians and spreadsheets, which KPI moves the needle first.

02

We structure it with you

Your first dataset shaped, cleaned, and documented, so the first model answers a real question.

03

Your team runs it

Operator training, quarterly model reviews, and a product your engineers re-run on new data whenever they want.

SECURITY

Built to keep your data in-house.

On-prem by default

Runs on your machine or inside your network. No outbound calls, no cloud account, full offline mode.

Compliance-ready

Deploys inside the controls you already run: SOC 2, HIPAA, GDPR, and stricter. Your data never crosses a boundary you don't own.

Reproducible & auditable

Every model traces to a deterministic, hashed plan you can re-run and hand to an auditor.

THE TEAM

Engineers from the environments we now serve.

We built Cogentic because the plants with the most valuable process data are the ones that can least afford to move it. Our team deploys alongside yours, as we already do on an air-gapped network at a Fortune 100 manufacturer, and every account has a direct line to the engineers who build the product.

admin@cogentichq.com
Armaan Waels, Co-founder of Cogentic

Armaan Waels

Co-founder

Senior Forward Deployed Engineer, Accenture

M.S. Machine Learning, Georgia Tech

Aymane Arfaoui, Co-founder of Cogentic

Aymane Arfaoui

Co-founder

Software Engineer, Pratt & Whitney Canada (RTX)

M.S. Machine Learning, Georgia Tech

Founding team · supported by engineering and deployment partners

BOOK A DEMO

See Cogentic predict on data like yours.

A 30-minute working session on a dataset shaped like yours.

In production at a Fortune 100 manufacturer

PREFER TO WRITE?

Tell us what you want to predict.

30 minutes. Bring a problem you want to predict. We'll walk the workflow on data like yours and scope a deployment tailored to your environment.

What to expect.

A working session on data shaped like yours. Tell us about your line and we'll shape the demo around it.

  • Call length30 minutes
  • Response timeWithin 1 business day
  • What you getLive demo + tailored scope