Production AI · independently verified

Most AI pilots stall before production. We build the ones that ship — and prove they work.

NewGenApps is a small, senior team that takes AI from first experiment to production. The people who scope the work build it, evaluate it and verify the live outcome.

Diagnose your AI pilot See the proof

Senior delivery team · US, UK and Europe-aligned hours · building since 2008

The evidence precedes the pitch

We have spent eighteen years turning emerging technology into working systems. The archive is part of the proof.

2008

2008 — NewGenApps founded as the modern mobile and cloud eras began.

2009

2009 — Early augmented-reality work on the first commercial Android generation.

2011

2011 — Buzz Aldrin’s iPad application, shown during WWDC week.

Explore the timestamped record

02 / Buyer situations

Start with the situation you are actually in.

The pilot is stuck

Architecture, data, evaluation or adoption has blocked the path to production.

AI Rescue

The use case is still unclear

You need a ranked opportunity, a real constraint map and a defensible first build.

AI Compass

You need to prove value quickly

A working, evaluated proof on your systems and data — designed to become production.

POC in 3 Weeks

You need the team that can stay

A small senior pod that moves from build to operation without a handoff cliff.

Embedded AI Team

03 / Production proof record

A deployment is not proof. The live outcome is.

Every engagement defines what success means before the build, how the system will be evaluated and what evidence must exist before production is accepted.

Outcome contract — The business and system result is explicit.

Evaluation harness — Reliability is measured against known cases and failure modes.

Data-integrity boundary — Sources, transformations and prohibited data are traceable.

Live-system verification — Production behavior is checked after deployment, not inferred from a merge.

04 / Delivery method

The people who scope the work stay to prove it.

Diagnose

Find the constraint, the decision and the economic value.

Build

Ship the smallest system that can test the real outcome.

Verify

Evaluate reliability, data integrity and production behavior.

Operate

Improve the system with evidence from live use.

05 / Story and archive

Built early. Still building.

The point of the archive is not nostalgia. It shows a repeatable habit: understand a technology wave early, then stay for the difficult implementation work.

That habit has put us in serious company — we built Buzz Aldrin’s iPad app in 2011 — and the work since has spanned global enterprises and funded startups. The kind of people who only hand over work that has to hold up.

Read the timestamped record

Anurag Rastogi seated beside Buzz Aldrin during WWDC week in 2011 — Founder Anurag Rastogi with Buzz Aldrin, WWDC week 2011 — NewGenApps built Buzz Aldrin’s iPad app.

Buzz Aldrin in a spacesuit holding an iPad displaying his application — Buzz Aldrin’s iPad application.

06 / Research

Field notes from the hard end of production AI.

R.01Why AI pilots fail R.02The Production AI Failure Taxonomy R.03Liveness is not outcome R.04How do you know an AI system works in production?

A useful first conversation

Where is your AI initiative actually stuck?

Bring the pilot, the constraint or the decision. In thirty minutes we will map the likely production gap and the next evidence worth creating.

Book a 30-minute session →

A senior engineer — not a sales rep — reads it and replies personally, usually the same day. Prefer email? [email protected]