lightbulb.ventures

Your AI commercial partner.

lightbulb.ventures surfaces the right AI product, builds it in days, and turns the distribution you already own into revenue.

AI made building cheap. Knowing what to build, and who will pay for it, became the scarce asset. That is what we bring.

Investor? Start here.

A vintage Edison lightbulb glowing warm gold against dark charcoal
products in revenue today
3
from idea to live product
<5 wks
teachers grading with AutoMark
7,000+
articles published through Adbotic
35,000+

AI made building cheap. Getting something bought is still hard.

Most organizations already own the scarce assets: customers, distribution, and domain knowledge. What they lack is a product engine that turns those assets into something the market pays for, quickly, and with someone accountable for the result.

  • You have distribution.

    Audiences, customer lists, sales teams, and relationships built over years. The thing every startup spends its first million trying to buy.

  • You have domain knowledge.

    You already know where the friction is, where the money leaks, and what your customers would pay to make go away.

  • You are missing the engine.

    Someone who can find the right product, ship it in weeks, launch it to real customers, and stay accountable to the revenue it creates.

How this usually goes
  • AI consultants

    Audit, deck, roadmap. Advice without ownership and no product at the end.

  • Internal build

    Hiring, roadmapping, and 12 to 18 months before a customer touches anything.

  • Dev agencies

    They build exactly what you spec. Nobody checks whether it sells.

With Lightbulb
  • We find the product hiding in your operations
  • We build it in weeks with a senior team
  • We launch it to your customers and measure revenue
  • We share the upside and own the outcome

You bring the problem and the distribution. We bring the product.

We work with a small number of partners at a time. If you own an audience, a customer base, or a workflow that leaks money, there is probably a product in it.

What you get
  • A working product in weeks, not quarters
  • Launched to your customers, through your channels
  • Measured on revenue and usage, not slideware
  • A partner who owns outcomes and shares the upside
Who this fits
  • Publishers and media groups
  • School networks and education companies
  • Brands, creators, and audience owners
  • Enterprises with underused data and workflows

One company. Shared upside across proven products.

Traditional startups spend before evidence. Lightbulb does the reverse: we start with partner access and distribution, launch fast, and fund only what proves itself.

  • Exposure to a portfolio engine, not a single bet
  • Capital follows evidence: build cheap, launch fast, concentrate on proof
  • Three products already producing revenue, a fourth built and launching
  • Founder with two exits and AI results inside public companies
Request the investor overview

Financial details are shared directly, in diligence.

We don't guess. We build, launch, measure, then concentrate capital.

A five-step loop built to make evidence arrive quickly. Every step answers two questions: what does the market need, and will it pay?

  1. 01Week 1

    Find

    Problem + partner

    We start where the money already is: your customers, your workflows, your distribution. Discovery maps dollars, not buzzwords.

  2. 02Weeks 2 to 4

    Build

    Working product

    A small senior team ships a real product. Concierge first, code second, so we learn what customers want before we automate it.

  3. 03Day 30

    Launch

    Real customers

    Live inside your channels in under 30 days. Paying customers, not pilot theater.

  4. 04Months 2 to 3

    Measure

    Revenue + usage

    We track what customers pay for and what they actually use. The evidence decides, not the pitch.

  5. 05Then

    Scale or kill

    Capital follows proof

    What works gets capital, people, and a company built around it. What does not gets shut down quickly and cheaply.

  1. Idea
  2. Raise
  3. Hire team
  4. Build 9 to 12 months
  5. Launch
  6. Maybe fit

At risk before proof: a year and seven figures.

  1. Partner
  2. Build fast
  3. Launch in under 30 days
  4. Real customers
  5. Measure
  6. Scale or kill

At risk before proof: pocket change.

We don't fall in love with ideas. We fall in love with evidence.

What we're building right now.

Real problems. Working products. Market feedback. Each one started with a partner who knew where the friction was.

Adbotic publisher dashboard

Adbotic

AI publishing infrastructure for publishers and their advertisers.

Live · Scaling

Publishers have distribution and advertiser demand, but producing sponsored articles and marketing assets by hand does not scale.

  • 35,000+ articles created
  • 5,000+ businesses served
  • 70% faster content creation
  • Live across 85+ newspaper sites
Built first with Lee Enterprises
AutoMark AI feedback on a student essay

AutoMark

AI grading infrastructure for schools.

Live · Scaling

Teachers lose their week to grading. AutoMark drafts rubric-locked scores and feedback, keeps teachers in control, and publishes back into the LMS.

  • 7,000+ teachers
  • 250,000+ papers graded per year
  • 1M+ essays processed
  • Started as a 10-teacher pilot
Works inside Canvas, Google Classroom, and Brightspace
AiLocal pipeline dashboard

AiLocal

The sales engine for AI implementation.

Live · Growing

Businesses need help knowing what to build and getting it into production. AiLocal pairs local relationships with a central AI team that maps, builds, and stays on.

  • 4 live markets: Las Vegas, Salt Lake City, Boston, Chicago
  • 10 commission sales partners
  • First 5 local customers on annual deals
  • AI-first sales CRM with meeting copilot
Started in Las Vegas, expanding city by city
ActivePlay movement prompt on a tablet

ActivePlay.ai

Turning passive screen time into real-world movement.

Built · Launching

Kids spend too much time sitting on screens. ActivePlay turns stories into movement-based experiences using computer-vision prompts, so kids progress by moving.

  • Product built
  • Signed the first NFL women's coach, author of 15 books
  • Signed a major YouTube creator producing active content for kids
Launching through creator and coaching partners

Next on the board: your problem.

Every product here started with someone who knew where the friction was and had the customers to prove it. If that is you, we should talk.

Bring us a problem

I've been building solutions to problems my entire life. Literally.

Evan Savar, founder and CEO of lightbulb.ventures
Evan Savar
Founder & CEO, lightbulb.ventures
Las Vegas, Nevada

I have spent my career on both sides of the table: as the founder building products from zero, and as the executive inside public companies deciding which AI bets get funded. Lightbulb is what happens when you put those two jobs in the same room.

AI workflows shipped
125+
organizations
18
exits as a founder
2
products live or launching
4
  1. Inventor first

    Patented and licensed a photo trophy invention to Kodak at 17.

  2. Tech founder, two exits

    MyResidentLinc, a mobile app platform for the multifamily space. Evinar, the first company to enable live streaming on Facebook.

  3. Early to every wave

    Consulted on the NELK Boys' MetaCard, one of the biggest NFT launches in history.

  4. Then went corporate

    VP of AI at Lee Enterprises (NASDAQ: LEE) and Stride, Inc. (NYSE: LRN). AI that made real money inside public companies.

  5. Now

    Founder and CEO of lightbulb.ventures, an AI venture studio in Las Vegas that builds companies around problems the market has already validated.

Evan as a child wearing his first invention, a utility belt for a cold
First invention: a utility belt for a bad cold in 3rd grade.
Las Vegas Review-Journal article: Big ideas paying off for local inventor
Las Vegas Review-Journal on the Kodak photo trophy.

Bring us the problem worth solving.

We are building with companies, operators, and distribution partners who know where the friction is. Every message is read by Evan, and we reply personally.

  • No pitch deck required. A paragraph is enough.
  • First conversation is a working session, not a sales call.
  • If it is not a fit, we will tell you quickly and say why.
I am a

I own distribution, customers, or a workflow with a problem in it.

We never share your details.

Just want launch updates?

One email when we officially launch on September 18, 2026, and the occasional note on what we ship.