Startup Investing
Redefined
Our Venture Funds
We invest primarily via our Venture Studios in Enterprise AI Startups. Our investment methodology brings together our experience as angel investors and as founders in bootstrapping and growing tech startups to multimillion revenue. Our model accelerates the startups to multimillion revenue and readies it for external investors and exits for our venture funds.
Startup Investing Expertise
Our funds are setup and managed by Angel Investors and Successful Founders.
Startup Track Record
Our startup incubation model is venture studio based with a portfolio of successful startups.
Venture Capital Demystified
Our model enables investors to participate after early validation and revenue.
Venture Fund 2
Having seen success with Fund 1, we are now on our 2nd Fund at $15 million and continuing to onboard Limited Partners (LPs) to Fund 2. With Fund 2, our aim is to enable LPs to participate in startup investing after early validation and revenue milestones are achieved.
This means, Fund 2 comes in as growth capital for the startups, along with the transition to a new startup leader or CEO for the next phase of the startups growth. Fund 2 takes 20 to 30% equity, with 10 to 20% allocated to incoming CEO and leadership team, resulting in a planned and transparent dilution of Fund 1.
Venture Fund 1
Our Fund 1 invests and owns 100% of new startups that are incubated from ideas generated internally via our Venture Studio. It invests in our Venture Studio startups with an objective to achieve 3 key milestones – initial set of paying customers and getting the startup to breakeven, and then to at least $1 million in ARR. We achive this through our Venture Studio which has a repeatable model of launching, scaling and exiting startups to Fund 2 and External Investors. This ensures that our startups are past the Death Valley Curve, the stage where most startups fail, and where most Angel Investors and VCs lose capital.
Our portfolio includes Ignitho, Piqual, Talentou, Prodeia, and Caimue, with many more in the pipeline spanning B2B SaaS and enterprise AI products.
