Cuva AI

Cuva AI's “Co-Pilot For Banking” is an AI agent platform to help banks autonomously manage their operations by automating its documentation, processes, and workflows.

1. FOUNDER-MARKET FIT
We have a strong market-founder fit as founder & CEO Vikram has a decade-long banking experience and firsthand knowledge of the problem.

2. PROBLEM – SOLUTION FIT
We have validated our idea with several banks, including Citi Bank, JP Morgan Chase, BNY Mellon, and Handelsbanken. We are continuously engaging with them. Therefore, we believe we have the problem-solution fit.

3. DEVELOPMENT & LAUNCH
We have 1st version of MVP ready, scheduled to launch on 15th August 2024.
4. MARKETING & SALES
We are preparing a marketing campaign and founder-led sales process. Our goal is to secure at least one paying enterprise customer (Bank) by the end of 2024.

Though our enterprise co-pilot is industry agnostic, we have chosen to focus on the BANKING industry, followed by the INSURANCE industry.

Globally, banks spend around USD 800 billion to manage their operations. Banking operations are complex, spanning multiple desynchronized systems and departments. Existing tools such as RPA (Robotic Process Automation) and BPA (Business Process Automation) do not fully address the need for automating these complex workflows. Moreover, AI opens whole new possibilities for automation in the financial industry,

Cuva AI's “Co-Pilot For Banking” is an AI agent platform to help banks autonomously manage their operations by automating its documentation, processes, and workflows.
Our Co-Pilot simplifies the automation of operations by allowing natural language instructions to be used. The Co-Pilot supports dynamic automation, meaning that the automation does not break when there are changes in the process, GUI, or API.
Our co-pilot is capable of accomplishing tasks that were previously deemed impossible for our banking clients.
Furthermore, our Co-Pilot helps the banks to reduce operational costs, improve efficiency, and shorten the time to market.

There is no direct competitor that we are aware of. However, there are some in-direct competitors
RPA companies (UiPath, Power Automate,) and workflow automation companies (Zapier, Pega systems).
"They are primarily focused on sales and customer service, while our main focus is on the enterprise (banking) workflows. Additionally, the present automation tools are overly complicated and are not adaptable to changes in the system. I believe that we can provide a better solution than any of our competitors."

1. Our Co-Pilot helps the banks to reduce operational costs, improve efficiency, and shorten the time to market.
2. Not only that, it also enables banks to provide new forms of tailored and more affordable banking solutions to their customers.

Cuva AI uses a Subscription + usage-based pricing model based on the number of runs per month. There are 4 tiers
Small Bank: USD 50,000 per department/month. 50,000 runs included
Medium Bank: USD 100,000 per department/month. 125,000 runs included
Large Bank: USD 200,000 per department/month. 300,000 runs included
X-Large Bank: Custom

The financial model presentation is attached.

Subscription + usage-based pricing model based on the number of runs per month.
We have embraced digital marketing for brand awareness.
As we are a B2B enterprise company, we will be using Sales Force as a sales channel.

10%
Operations

50%
Product Development

40%
Customer acquisition

We are open to SAFe or equity at the valuation of USD 10,000,000.

Large integration model