[AI LAunchpad]

Production AI on
your data in
four to six weeks.

Most enterprise AI stalls in the gap between a promising pilot and a system your operations can run. AI Launchpad closes that gap. You start from a working asset our AI Solutions Lab already built and proved on manufacturing data, then we shape it to yours.

A working

asset

Proven in manufacturing before your mission opens

4 to 6

weeks

on your real data

Zero upfront

until the asset earns its place

[AI Solutions Lab]

You start from capability we built before you asked

Our own R&D pays for the first build. The AI Solutions Lab runs whether or not a client is on the phone, building and hardening models on manufacturing and automotive data. When your mission opens, you inherit that work. You pay to adapt proven capability to your data instead of inventing it from zero.

[001]

Prototype

Validated in a digital twin before your floor

[002]

Refine together

Your domain team sits beside our engineers. The build bends to your process, your data, and your edge cases as you watch.

[003]

Prove on your data

The asset runs where it will live. You judge it on the number it moves in your operation, with evidence you can take to the floor.

[004]

Production Readiness & Adoption

Move from pilots to business outcomes. Turn momentum into adoption, and adoption into measurable business impact.

[What the lab hands you]

Four investments alreadymade on your behalf.

Every mission draws on work the lab funded ahead of demand. You collect the return on day one.

Global delivery

Onshore and offshore teams carry the build across time zones. Your mission keeps moving while one office sleeps.

IP and reusable components

Every mission draws on models and components the lab already built and hardened. You adapt them to your data instead of starting from a blank repository.

Investigation and testing

The lab runs the deep investigation and testing before your mission begins. You inherit an asset that has already survived hard cases.

New ideas: deep tech, AI/ML, data science

A standing research team works ahead of demand across deep tech, AI/ML, and data science. The capability is ready the day your mission calls for it.

[The head start]

A cold start against a running lab.

The same mission looks different depending on where week one begins.

Starting cold

Pilots stall in the gap between a demo and production.

Teams rebuild core models from scratch on every project.

Budget is spent before the work earns anything.

The result sits with a vendor your team cannot run alone.

With the lab behind you

You begin from an asset the lab already proved.

The build runs on your real data from week one.

You reach production in weeks and measure the P&L.

Your team owns and runs what ships.

[Why Ascentt]

Why teams starttheir first mission here.

Robotics engagements are built for the operations, engineering, and finance leaders in manufacturing and automotive enterprises who need robots to serve the line, not the showroom.

You start from a working asset.

The lab funds the first build, so your mission opens with capability instead of a blank page.

You measure on the P&L.

Each mission is scoped to one decision and judged on the number it moves in your operation.

You start at zero upfront cost.

The mission earns its place on the line before it earns a line in your budget.

You own production.

The asset ships into your environment and your team runs it after handover.

Get in touch

Our team will get back to you as soon as possible.

Get in touch

Our team will get back to you as soon as possible.

Get in touch

Our team will get back to you as soon as possible.