An introduction

Alpha

The AI forward deployed engineer for every team.

Why your teams need it, what it builds, and how your company stays in control.

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Why care

Every team has ideas. Few get an engineer.

Today · the engineering queue

Idea→Spec→Ticket→Triage→Roadmap queue

Months

With Alpha · an AI engineer in the team

Describe it→Approve the plan→Alpha builds and tests→Live

Same day

The person with the problem builds the fix, with the database, sign-in and hosting included.

The problem

Three things companies tell us.

01

“Our ideas wait months for engineering.”

Specs become tickets, tickets join a queue, and the team works around it in spreadsheets.

With Alpha

Describe it, approve the plan and see it working the same day.

02

“Our AI pilots never reach production.”

Demos made in chat tools have no database, no sign-in, no hosting and no owner.

With Alpha

The same session builds it, tests it, puts it live and runs it on a schedule.

03

“Our AI agents never get past the demo.”

Agents need developer frameworks like LangGraph, testing on real conversations and somewhere to run. Few teams can do all three.

With Alpha

Describe the agent. Alpha builds it in your framework, tests it and puts it live.

Why now

Anyone can build. Few get it live.

88%

of AI proofs of concept never reach wide deployment.

IDC · 2025

Building isn’t the hard part any more. Getting it live is: for applications, and even more for AI agents.

75%

of new code at Google is now written by AI.

Google · Apr 2026

42%

of companies dropped most of their AI projects, up from 17%.

S&P Global · 2025

43%

of data breaches involved AI tools IT never approved.

IBM · 2026

13%

of CIOs say AI has delivered significant value so far.

Gartner · Oct 2026

What Alpha is

An AI forward deployed engineer for every team.

The idea

A forward deployed engineer sits with a business team, learns the real problem and builds the fix on the spot.

It’s how the AI labs get their biggest customers into production. Most teams never get one.

A human FDE

One team at a time

Alpha

Every team, today

A human FDEAlpha
Who gets oneThe biggest projectsEvery team
How soonWeeks to staff and startToday, in the browser
Who buildsThe FDE, for the teamThe team, with Alpha
When it endsThe team can’t change what was builtThe team owns the code and keeps going

The promise

Three things Alpha promises.

01

Every team builds

Working software the same day, without waiting for engineering. No code and no setup.

In practice

Alpha asks plain questions, shows a plan, and one sentence becomes a live app.

02

Live, not just code

Database, sign-in, hosting and deployment included. Engineers skip the setup and can take over the same code in GitHub.

In practice

The app goes live behind a sign-in, in one click.

03

AI agents you can trust

Built as real code in the framework you choose, tested on realistic cases, and live with an API.

In practice

You see an agent’s test results before it goes live.

How it works

One team’s problem, end to end.

The team

A finance analyst checks cloud bills from AWS, Azure and Google Cloud by hand, every month.

The result

The check now runs itself every Monday, and each mismatch lands in the team’s Slack.

What happens

01DescribeThe analyst types the problem in plain English.
02PlanAlpha asks a few questions and shows a plan to approve.
03BuildThe app appears. Point at the screen to change it.
04ConnectEach mismatch goes to the team’s Slack.
05PublishIt goes live, behind a sign-in.
06ScheduleIt runs every Monday, even with the session closed.
07ReviewIT sees the code in Git and the spend per person.

What it builds

One AI engineer. Every kind of work.

Applications

An expense approval app with sign-in and a database.

AI agents

In ten frameworks, tested before they go live. Voice agents too.

Automations

A morning news digest, every weekday.

Spreadsheets

A three-year financial model with charts.

Decks and docs

A ten-slide pitch deck, exported to PowerPoint.

Images and video

A 30-second launch video for a new product.

Diagrams

An architecture map of a delivery app.

Tool connections

Reads Gmail, posts to Slack, updates Notion.

AI agents

Describe the agent. Alpha builds it, tests it and puts it live.

“Build a support agent that answers from our FAQ and hands off to email when it can’t help.”

Built in your framework→Tested on real cases→Live, with an API

The app that uses it is built in the same session.

01Ten frameworks, including Google ADK, LangGraph, CrewAI and OpenAI Agents
02Tested on realistic cases and personas, graded by an AI judge
03Frameworks compared on the same tests
04Voice agents, phone calls included
05Real code your team owns, in your GitHub

It keeps working

Work that runs while you’re away.

“Every weekday at 9, send me a summary of the top news in our industry.”

Mon9:00
Tue9:00
Wed9:00
Thu9:00
Fri9:00
Sat—
Sun—

The session is closed. Alpha wakes it for each run.

01Alpha writes it and tests it once
02Then schedules it, in plain English
03It runs even with the session closed
04Every run is logged; failures show in the chat

Control

Speed for every team. Control for IT.

Teams get

Plain English, nothing to install
A working version the same day
Claude Code or Codex, their choice
Agents in the framework they use

IT keeps

Code in your Git, ready for review
Agents that can’t go live until tests pass
Usage and spend, per person
Ownership of everything Alpha builds

You own the code. Your engineers review it like any other change.

Enterprise

Ready for the whole company, not one developer.

Secure by design

  • Every session runs in its own isolated machine
  • No AI keys inside the machine
  • Secrets encrypted and hidden in the chat

Admin control

  • One dashboard of every user, session and app
  • Admins choose which tools teams can use

Identity and spend

  • Sign in with Google or Microsoft
  • Only your company’s emails get in
  • Usage and spend per person, with caps

Safe AI agents

  • Agents in any framework
  • Tests before an agent goes live
  • Claude Code or Codex, per project
  • Code in your Git, reviewed by your engineers

Questions

Questions we often hear.

Your tools

“We already have Copilot and Copilot Studio.”

Keep them. Use Alpha for the production software and AI agents you want to own, built together, in your GitHub.

Your tools

“Our engineers use Claude Code or Codex.”

Good: Alpha runs both, puts them in every team’s hands, and adds the database, sign-in and hosting.

Your tools

“Our engineers could build this themselves.”

They could, but it’s a year of platform work. Alpha lets them spend that year on your product.

Risk

“AI-written code is risky.”

It lives in your Git, your engineers can review it, and agents can’t go live until their tests pass.

Risk

“What about security and our data?”

Each project runs in its own isolated machine with no AI keys inside, and only your company’s emails get in.

Risk

“Will we be locked in?”

No. Pick Claude Code or Codex, build agents in open frameworks, and keep the code.

Fit

“Our people aren’t technical.”

That’s who it’s for: plain-English questions and a plan before anything is built.

Fit

“We don’t know what to build.”

Most teams don’t at first. We’ll pick a first project together, team by team.

Summary

Lyzr

Alpha in one page.

01 · Why Alpha

Every team has ideas that wait for engineering.

AI writes code now. Getting it live is the hard part.

Alpha is an AI forward deployed engineer for every team.

02 · What it does

Applications, AI agents and automations, live the same day.

Database, sign-in and hosting included.

AI agents tested before they go live, in the framework you choose.

03 · What you keep

The code, in your Git.

Control for IT: tools, usage and spend.

Your choice of coding agent: Claude Code or Codex.

Start small

One team and one real problem. Prove it in weeks, then grow.

Next step

Your Lyzr contact can set up a walkthrough for your team.

Alpha