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Q: Use Case #1 - Repurposing Technology for Market Fit

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Q: Use Case #2 - Identification of Emerging Start-ups that can Scale

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Q: Use Case #3 - DOE for Technology Selection

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Q: Use Case #4 - Higher Education & Healthcare Retention

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Q: Use Case #5 - Higher Education, Capstones for Teams & Meaningful Projects

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Q: Use Case #6 - Improving Time to Market

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Q: Use Case #7 - Smart Decision Making for Investments

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Q: Use Case #10 - Early Stage Valuation

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We FInd Answers Amid the Chaos

Predict Performance. Change Outcomes. Increase Valuations.

Every organization of scale has data. In fact, we are all drowning in data. But just as most things in nature seem chaotic, there are patterns, insights and predictability to be found amid the chaos. In business, you need tools and the ability to extract essential truths from your data. This is our role at Brite Advisory.

what is a fractal?

Predictable Patterns Found in Chaos

At Brite Advisory, we apply our Fractal Systemology ™ to your business opportunity. This is a systematic approach to providing visibility of your data that empowers leadership with insights and highly reliable forecasting. This approach builds value in technologies, products and companies.

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Who We Help

We Employ an Ordered Process to Solve Issues Collaboratively

We provide "ordered business solutions" for entrepreneurs and organizations entering and exiting technology-led opportunities. We provide commercial insight on build, buy or partner decisions for emerging start-ups. And we help create strategic initiatives necessary for long-term growth - and short-term cash flow.

Our Mission includes helping mature organizations and individuals closely connected to industry, experience transformational business growth for technology-led opportunities.

We look at the problem in ‘whole’, its ‘parts’, and its ‘parts-of-parts’. We use data science to guide the emergence of a solution.

The Corporate Burnout.

Employees with product ideas orphaned or ignored by the organization.

Product Development | (R&D) Organizations | Advanced Technology Groups.

Organizations, owning or developing technologies & products for internal application, or for others, requiring strategic reboot or scaling expertise.

Corporate Spin-offs

Enterprises spinning off non-core divisions or technologies, to create operational and strategically independent new ventures. Spinning off is an effective means to maximize product development ROI.

Tactical Engagements

Business Modeling
Product Market Fit
Value-Building
Strategic Development

Learn More

Strategic Engagements

Mature your technology
Unleash your product’s greatest potential
Spin-off your company’s non-core business

Learn More

use cases

How We Create Business Opportunities Out of Data

Outcomes

Our Customers are Interested in:

Profit Increases
Cost Reductions
Shorter Time to Market
Clarity (Insight) in Decision Making
Identifying Emerging Startups

Strategic Initiatives

Our Customers are Interested in:

Product Market Fit
Long-term growth
Scale

Use Case #1 - Repurposing Technology for Market Fit

ORIGINAL PROBLEM

Unwanted vibration is induced by a Reaction Wheel (directional stabilizer used in satellites) located on Hubble Telescope.

ORIGINAL SOLUTION

A patented novel vibration damper employing no wearing parts that mitigates the vibration.

ORIGINAL BENEFIT

Clear Hubble Photos
Repurposing Strategy
Data shows patented damper excels with:
- Very small vibrations (Jitter).
- Applications where ‘stiffness’ needs to be maintained.
Dimensions Considered:
- Technology fit.
- Market size and growth.
- Availability of access to IP know-how.
- Strength of patent-holder.
- Unique value proposition(s) suitable to large market retrofit applications.
- Key partner strength.
- Customer ability to pay.

NEW PROBLEM

Military helicopter flight crews experience severe vibration while airborne, causing:

Fatigue.
Disorientation.
Difficulty operating equipment and weapons leading to potential mission failure.
Engine noise is transmitted through six (6) stiff supports to fuselage.

NEW SOLUTION

Development of a novel system for helicopter support struts that:

Dampens specific vibration frequencies.
Composed of mechanical units having non-wearing parts.
Significantly reducing vibration experienced by flight crews.

NEW BENEFIT

Flight Crews Experience:

Greater situational awareness.
Reduced fatigue leading to lowered crew staffing requirements.
Improved weapon accuracy.

Resulting in enhanced mission success and lower casualties.

Use Case #2 - Identification of Emerging Start-ups that can Scale

PROBLEM

Department of Energy $300M invests per year into clean tech opportunities.
Grantees often fail in crossing the chasm to follow-on investment.
Was government money used wisely?

SOLUTION

Use AI and ML for decision making to improve follow-on investment outcomes, and increase societal impact.
Dimensions Considered:
- Strength of Management (CEO in place, has 10+ experience, has 10+ years’ experience in business vertical.)
- Patent Quality. (Informal and formal IP.)
- Customer Traction. (Sales)
- Customer Feedback. (Quality)
- Verified Market Size.
- Market Growth Rates.
- Other Risk Factors.

BENEFIT

Best ideas get funded.
More and better jobs for tax payers.

Use Case #3 - DOE for Technology Selection

PROBLEM

A significant portion of Government SBIR funds result in no meaningful technology commercialization.

SOLUTION

AI/ML process that assesses proposed SBIR projects before public release.
Suggests projects that combine technology advances with commercial potential.
Makes determinations regarding effectiveness of potential grantees.

BENEFIT

Increased Government efficiency in selecting SBIR projects and potential grantees resulting in more meaningful and beneficial projects improving taxpayer ROI.
Grantees are better suited to projects resulting in more meaningful and commercially viable project outcomes, driving increased revenue to small businesses.

Use Case #4 - Higher Education & Healthcare Retention

PROBLEM

Higher education institutions are often judged by their retention rates and graduate job success.
Particularly in health care, employers need high retention rates to ensure appropriate staffing levels and manage new employee on-boarding and retention.

SOLUTION

AI / ML process to select students with greatest potential for course completion.
Offer these students “internships” with companies wishing to “test drive” potential employees to determine those with best fit.

BENEFIT

Education institutions increase retention rates:
- Increase tuition revenue, attract more and better students by offering pre-graduation employment opportunities.
- Employers benefit from a targeted new employee hiring process that reduces recruiting and on-boarding expense and increases employee retention.

Use Case #5 - Higher Education, Capstones for Teams & Meaningful Projects

PROBLEM

Higher education institutions often have Capstone Projects required for graduation in STEM degrees.
In many cases, companies sponsor teams of students to complete a project relevant to a company's business.
Since companies do not select the students, project outcomes are often not relevant, and students are unable to demonstrate their talents.

SOLUTION

An AI/ML process that:

Assists companies in determining Capstone projects that have meaningful potential to their business.
Identifies individual student characteristics and talents, and matches these to relevant projects.
Determines the most appropriate student teams based on project selection and students identified as potential team members.

BENEFIT

Companies have greater assurance that projects result in outcomes meaningful to their business.
Companies can assess project team members as potential employees, reducing recruiting, on-boarding and training expense.
Students work on meaningful projects that drive educational satisfaction.
Students can demonstrate their talents and interest in the sponsor’s business.
Companies and students increase potential for fit.

Use Case #6 - Improving Time to Market

PROBLEM

There is a $81B/yr market opportunity to conduct collaborative research between Universities and Industry:

Human Capital is “tied-up” and difficult to find exactly when needed.
Large Organizations lack visibility and insight into their existing workforce’s knowhow necessary for accelerating growth and revenues.
Knowledge Workers are unaware of ‘market-driven’ opportunities that could tap their ‘cognitive excess’.

SOLUTION

Employing a Knowledge Genome for Democratizing "knowhow" for basic research and creating breakthrough products.

Map in-house human resources in context, digitize human knowhow in multiple key dimensions, to understand resource effectiveness.
Enhance internal with external resources, adding depth and expertise to unlock Creative Collaboration.
Just-in-time source knowledge workers to drive revenue and outcomes.
Combine disruptive elements of human knowhow and opportunity without barriers.

BENEFIT

Organization can understand their resource effectiveness.
Individuals can see their ‘fit’ within a global network of ‘knowhow."
Knowledge Workers can unlock their Creative Collaboration and get paid.
Organizations can accelerate growth through innovation.
A-Teams can be intelligently and discreetly sourced from around the world.

Use Case #7 - Smart Decision Making for Investments

PROBLEM

A Parts Manufacturing Authority (PMA) (an FAA issued designation authorizing manufacture of aftermarket aircraft parts) needs to choose the best parts to manufacturer from a list of hundreds-of-thousands of PMA candidate parts:
- Customer wants to ‘prove-out’ a technology-led solution before a companywide rollout.
- “Best” part definition varies by user investment criteria.

SOLUTION

Build a minimally viable product (MVP), utilizing real-options thinking:
- Quickly filters a large list of in-demand candidate parts, from the perspective of user, to a few candidate parts (A-List.)
- Achieve user’s long-term strategic and near-term cash-flow goals.

BENEFIT

Confidence.
Repeatable and ‘knowable’ path to investment decision.
Verification of in-house tool usefulness before product roll-out.

Use Case #8 - Smart Decision Making for Alternative Insurance Product Investments (SLS)

Selecting financial securities (Senior Life Settlements) for investment based Fund criteria (ROI, longevity risk)

PROBLEM

A Senior Life Settlement (SLS) is a transaction where a life insurance policy is purchased in the secondary market from a U.S. resident usually aged 65 or older. An investment strategy is to purchase these policies through license entities called Providers, pool them within a Fund structure, pay the premiums, and collect the death benefit when the policy matures. Price arbitrage exists in the market because:

Polices are priced by insurance companies on the assumption that a large portion of insurance policies will lapse.
Competitive market leads many insurance companies to offer discounted pricing when insuring seniors.
Policy pricing is established at the time of issuance...and does not reflect changes in the insured’s life expectancy due to health or lifestyle choices.

SOLUTION

A financial model that Monte-Carlo portfolio pay-off amounts based on the dimensions of gender, health history, price, and other proprietary dimensions.

BENEFIT

Pool assets in such a way to improve odds of achieving a hurdle interest rate return.
Provide investors with a positive economic impact when the insured’s actual life spans are shorter than expected.
Provide attractive risk/reward opportunities in an asset class with negligible correlation to traditional asset classes.

Use Case #9 - Smart Decision Making for Alternative Income Share Agreement (ISA) Investments

Selecting freshman, sophomore, junior and senior college students for Income Share Agreements (a financial instrument that lowers student debt) based on Bond Holders investment criteria (ROI, student performance risk)

PROBLEM

University students often graduate with debt that is difficult to pay back. To alleviate this issue, universities desire to:

Improve student retention.
Improve post graduate school acceptance.
Ensure a good education better supports individual learning and industry interests.
Learn principal facilitators or early indicators of successful outcomes.
Develop a methodology to mold raw talent and determine timing of interventions, guidance, and course content.

SOLUTION

Via research collaboration agreements with universities, use Machine Learning and AI, (a Probabilistic Graphical Network) to predict student outcomes.
Dimensions considered included:
- Psychometrics
- Sentiment Data.
- Faculty.
- Financial Alerts.
- Individual Course Test Results.
- Employment Status.
- Post Graduate School Results.
- Certain Entrance Exams.
- GPA.
- Standardized Test Results.
- Interests.
- Other Metrics.
Create a Bond offering in a non-profit structure that enables industry participants to offer Income Share Agreements in leu of student receiving a private or government subsidized loan.

BENEFIT

Predict student / industry engagement rates and student outcomes with 95% confidence.
5% - 15% increased student retention.
Student education is aligned with industry needs; fulfilled students.
Student debt reduced by approximately 50% when program is combined with low-risk (3.5% yield) bond investors offering income share agreements (ISA) to students in leu of student receiving a private or government subsidized loan.

Use Case #10 - Early Stage Valuation

PROBLEM

In any private-equity investment, among the most contentious issues between those providing capital and those seeking capital is the pre-money valuation placed on the company seeking investment. In fact, differing opinions about the pre-money valuation is often the reason a transaction fails to be consummated.

There is no standard on how valuation should be determined.
There are no university-accepted methods.
There are no trusted / reliable depositories for information about completed deals.
Pre-money valuation is among the most critical components and most difficult component to calculate and defend.

SOLUTION

An AI/ML solution that offers the investment community an opportunity to start to understand what is driving valuation.

A rigorous analytic engine ensures there will not be large gaps in valuation between entrepreneurs and investors.
Compares a predicted valuation to a similar company’s sustained valuation.
A rigorous questionnaire (100 questions) revolving around nine key valuation drivers early stage ventures share.
A collaboration feature that allows sharing between stakeholders to resolve differences in the answers.
Predictive results that are calibrated via a database that taps over 10,000 sustained VC deals.

BENEFIT

Prepares the entrepreneur to think like an investor.
Transforms the conversation between entrepreneurs and prospective angel investors from one focused on valuation "methodologies" to one centered on a venture’s status with respect to several key valuation drivers.
Entrepreneurs focused on managing for greatest value to the stakeholders.

Use Case #11 - Improving Operations for Companies with Revenues <$25M Annually

PROBLEM

Business owners that start or inherit business often end up operating business that no longer work for them.

Deal with discouraged employees.
Struggle with cash flow.
Feel trapped, consumed, and have hit a ceiling.
Lack SOPs and processes that will scale to the next level.
Have somehow developed a dysfunctional culture that limits growth.
Desire to exit, but need guidance.

SOLUTION

An advisory service that consults weekly with business owners, combined with development of tools for accountability that illuminate the pain points and growth opportunities:

A rigorous analytic financial model that tracks historical values, and breaks them down by the transactions that drive the outcomes.
Customized OKRs (Objective Key Results) that discover and measure the strategic pillars, for team or business functions / departments, that drive business performance.
Customized KPIs (Key Performance Indicators), development of metrics that provide accountability for individuals responsible for achieving OKRs; and that link directly to the financial model.
A Predictive performance model, that accounts for uncertainty of outcome and champions the achievements of employees.
A system that prepares business owners for further investment or exit.

BENEFIT

A business increasing in value.
A plan, and a hope for results that can provide peace of mind.
Exits that provide freedom.

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Solutions

An Advisory Service that is Hands-on by Design

We've conceived, built, launched and scaled multiple hardware and internet software products and companies. We’ve learned by doing - and sometimes by failing.

Problem Definition
We define the problem and market-validate so that the right solution emerges.

Business Modeling
Validate and iterate hypotheses to create market-validated business models ready for scaling.

Product Scaling
Upgrade, and scale new products for added revenue.

New Venture Acceleration
M&A advisory, investment valuation and decision-making expertise, and experienced-based knowhow for entering and exiting technology-led opportunities.

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