“Don’t be afraid to give up the good to go for the great.”

John D. Rockerfeller

CR Advisory is a leading advisory firm delivering independent, strategic and financial advice to growth stage technology companies. Our services are tailored to meet the needs of our clients engaging in the consideration, preparation and execution of capital raising activities. We work with Sell Side Mandates, where we bring deep stage knowledge and transaction expertise to guide our clients through the challenges and pitfalls of capital raising in high growth environments. We also work with Buy Side Mandates where investors are looking for specific growth stage companies to invest into. Finally we offer Strategic Mandates, for Boards and CEOs that are faced with a number of strategic choices in advance of a capital raise event.

For us, growth stage companies are those that have already completed early stage rounds of funding and are now seeking additional funding from new sources of capital. These companies typically meet a number of the characteristics below:

Clear product innovation and development

Recurring revenue streams beyond proof of concepts

Demonstrated product/market /customer fit

Developed team, management & advisory board structures

Clear intellectual property capital and deep sector knowledge

Success in home market and internationally growth aspirations

We work with clients globally and are well connected with various early, growth-stage and investor ecosystems. Our passion for the technology sector is driven by our desire to help entrepreneurs, founders, shareholders and partners to take their companies to the next level by strategically planning for, and successfully executing capital raise events. We look forward to engaging with you on this journey to realize your company’s growth potential.

SPECIALITIES

Board Advisory

Business Strategy

Capital Raising

Growth Strategies

Business Plan Development

Private Equity Funding

Venture Capital Funding

Family Office Funding

HNW Funding

M&A

Turnarounds

Financial Modelling