SaiNav Corporations Ltd.

We are providing swift AI and risk navigations through analytics to deliver integrated risk management solutions and achieve sustainability goals

Our USP is that our solution is based on advanced analytics technique that is forward looking in nature and generates actionable insights for decision making across varied fields such as sustainability analytics, financial risk management and fraud detection. Till date we have a successful discussion with quite a few asset and SME financing companies based out of UK and Germany who shared with us a positive feedback regarding the use of our prototype and its potential. We are now looking for funding to establish the company and bring the solution to the market.

The Total Available Market in risk management is expected to grow at 18% CAGR from €10.4bn in 2022 to € 24.4bn in 2027. Our beachhead i.e. Go-To-Market consists of BFSI, Banking, Insurance and Corporate AMC sector. Further sectors that can be included:
-Energy and water conservations
-Climate change risk organizations
-Earth observation organizations

Absence of an integrated risk management (IRM) leads to severe failures in liquidity, asset & ESG liabilities. The traditional risk management is still pursued in siloed and non-quantified environment independent of external events e.g. Covid, Climate Change or only with the financial data. This is where SaiNav is offering AI based integration of data silos including external events and market information to provide a comprehensive analytics based risk management solution. SaiNav's IRM approach can bring both business and societal benefits to an organization.

SaiNav is offering machine learning based IRM solution that will approach the business problems mainly from three areas i.e. descriptive, predictive, and prescriptive analytics. For example, one of our prototypes is Credit Risk Model which will take into account the external events such as Covid and flood impact on business operations to predict default probabilities of the corporates.

The competitors as shown in the attached presentation doesn't provide a full integrated risk management based on analytics approach.

This solution is forward looking in nature and hence can be applied to further sectors e.g. energy and logistics to generate actionable insights for data based decision making and reducing carbon footprints.

We will charge clients a SaaS subscription fees for small, medium and large enterprises. For the first year after the company is established, we expect a revenue of 150,000 Euros. We estimate a 168X revenue growth of and an IRR of 150% for the projected revenue plan of 5 years. We estimate a above average margin based on our projections and a break even in the year 4 of the business. We project a revenue of 22 mEuros by year 5 considering only our market in Germany and India. However as the idea can be scaled up globally and in different sectors, we believe this revenue to grow upto 100mEuros.

Our Go-to-Market strategy will be based on B2B clients in the BFSI, Insurance and Corporate AMC sector in Germany and India. We will charge SAAS based subscription fees for small, medium and large enterprises. Our Prototype on AI based Credit Risk Model is ready and will be used to gain traction in the market and acquire clients. With a break-even in year four, we estimate an IRR of 150% and a revenue of 23 mEUR. Further global revenue lines can be opened up with solutions for climate change, energy and earth observation system organisations.

Tech development-60%
Team and resources-40%

Equity stake for seed stage funding

Data shall be well protected
Data collection
Patent for the software

We are currently applying for the the German Master Accelerator program.