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For investors · Whispering

The future belongs
to better builders.

Consulting and managed services revenue that contributes to IP development. All powered by the speed and power of AI.

A better future, built together.

For years, a promising idea could stall before it ever reached a customer. The founder could see the opportunity, but the team, expertise, and cost of building it were out of reach. AI is beginning to change that, giving more people the resources to turn what they imagine into something real.

Yet much of the conversation has turned to how quickly those same tools can replace people. We believe that leads toward a future none of us want, and the attempts that have fallen short show how much human experience still matters. The opportunity we see is to put that experience and AI to work together, so people can achieve more than either could alone.

That is the future we are building toward: entrepreneurs bringing ideas to market, teams extending their capabilities, and people guiding the technology they use. Strong guardrails, human judgment, and clear responsibility are how we turn that possibility into lasting value. It is a future our people and customers can help shape, and thrive in together.

How we create value.

Client work, lasting service relationships, and intellectual property with a life beyond the project.

Consulting services

Help clients solve meaningful business problems through strategy, design, development, and AI integration.

Consulting and project revenue

MSP contracts

Stay involved through managed service provider relationships: maintaining, supporting, and improving the technology clients rely on.

Predictable and recurring revenue

Our own IP

Develop products in our lab, retain the intellectual property, and create opportunities to operate, grow, license, or sell what we build.

Revenue + IP valuation

Criteria for IP Development

Find a need without a solution

Find an unmet need and build for the people who have it. AI allows us to explore smaller markets and fast-moving trends, bringing products to market and monetizing them faster than ever before.

Disrupt the under-served

Find an established market with a proven customer base. Give people the features they keep asking for, or fix the problems they all complain about, and give them a reason to switch.

AI creates lucrative opportunities for serving niche markets.

Traditional development costs can rule out a promising niche before it gets a chance. Our thesis is that AI can lower the time, effort, and cost enough to make more of those markets commercially viable.

That includes emerging trends: spot substantiated demand, build a focused solution quickly, and aim to earn back the investment and generate profit while the opportunity lasts. That window could span years, even if demand eventually fades. We assess the cost of reaching and serving that audience, not just the cost of building.

More opportunities with the same resources.

Venture investors take a portfolio approach. We apply that thinking to development: our ambition is to build and test ten products with the resources traditionally required for one, then put more behind the ideas that earn it.

The ten-to-one comparison is our development thesis, not a measured benchmark or a prediction of investment returns.

Inside the lab

The fastest pipeline to value.
Powered by AI.

Speed makes exploration possible. Discipline determines where we keep investing our time and effort.

  1. 01

    Qualify the demand

    Identify the audience, the unmet need, and evidence that people want a solution.

  2. 02

    Build to learn

    Use AI to create a focused solution and test it with the people it is for.

  3. 03

    Test the economics

    Compare willingness to pay with acquisition, AI, support, and operating costs.

  4. 04

    Earn the next step

    Grow what works. Refine, pause, or retire products as the evidence changes.

Explore our projects
25years of experience
behind the decisions

Our advantage

Powerful capabilities.
Lead by extensive human experience.

Our founder took 25 years of experience as an award-winning global technology consultant and designer, working with Fortune 500 companies and some of the biggest names in tech, and combined it with his roots in software development. He applied that experience to train AIs to build products around real market opportunities, tuned to a specific audience and designed to be a pleasure to use.

That means continuity from strategy through design and development. The same person typically guides the decisions along the way, carrying the original intent through to the finished product. With taste, judgment, and experience directing the AI, we reduce the inconsistency of disconnected handoffs and “get to a better place, faster.”

The ownership model

Build the capability.
Own what it creates.

Whispering owns the IP developed for its product portfolio. We can operate and grow those products, license the technology, or pursue an acquisition when the fit is right.

Company-level opportunity

Invest in Whispering

Support the business that combines consulting, monthly managed services, and an owned product portfolio.

Product-level opportunity

Build a company around a product

When it makes sense, a product can become its own company. Whispering would exchange its IP ownership for equity in that business.

The next round

Where is the money going?

Planned allocation
65%

Digital marketing

Create more original, high-quality content with AI and human direction, helping paid ads and influencer partnerships turn more interest into customers.

20%

Operations

Offset operating costs, primarily the people building our products and serving clients. Current revenues already cover our technical costs.

15%

Infrastructure

Build a modular micro data center for our apps and LLMs, keeping company and customer data off services that use it for training.

Take a closer look.

Interested in Whispering or a particular product opportunity? Schedule a conversation with Jack to request more information and discuss where your capital and experience could make a difference.

  • The services model and product portfolio
  • Market evidence, economics, and development priorities
  • Company-level or potential product-level investment