NoiSig Inc
Venture Capital & Private Equity - Singapore, , Singapore
NoiSig Inc Employees
NoiSig Inc Details
Problem/PainPoint: It is humanly impossible to manually track market movements, events, ideologies, industry regulations, deal announcements and stakeholder reputations. Every stakeholder be it in CVC, Startup of VC space goes through a haphazard unstructured and complicated 'what if' scenarios by evaluating deal announcements, GDP(macro)/market correlation, internet reputation of stakeholders, appetite of venture capital for a segment of market and potential business models being pursued by existing ventures.Solution: Active listening of data points on the internet can enable decision making via augmented intelligence supported by machine learning (I call them AI model based filters). How are we different ? Noise Vs Signal indicators (5 of Them)- The Lag Indicator Correlation e.g. for a specific category of startup(the famous copy cat model) e.g. T+10 months for China visa vi US i.e Uber/Didi and T+14 months for India visa vi US i.e Uber/Ola- Round Progression / %Conversion e.g. We will look at whether a team made it to a series-A round and explore N characteristics for each deal. From this analysis, we've identify the most relevant say 10 characteristics for seed deals as most predictive of future success.- Regulatory reforms [Headwinds/Tailwinds]e.g. Maturity of the market, potential risks associated with new regulations and old regulations. - Market Depth & Readiness[Time Lag :Ahead of the Curve/Behind the Curve]e.g. Super Apps, Micro-payments, Anti-advertising business models work in Asian markets good examples are WeChat(China), Paytm(India), GoJek(Indonesia) and Grab(Singapore) but are yet to catch up in the west as any major player- Exit Probability: Top Big Firms track record of focussing on a certain industry and having a track record in buying certain companies in last 6 months can increase the focus likelihood on certain startups in certain categories of startups. ALL PACKAGED AS A TWITTER FEED LIKE TRENDS INDEX
