Nikola Lazarov is the co-founder and CEO of Eilla AI, a tool that provides AI workers for private market intelligence. Nikola is an AI engineer who started his career at a London-based hedge fund, Marble Bar Asset Management, where he worked as a quant. He realized the value of AI in structuring unstructured data for private companies and decided to start a company almost three years ago.

What Eilla AI Does

While Nikola mentions that their target clients are investors and investment bankers, Eilla AI's tool does various tasks, such as finding competitors, analyzing their USP, target market, and financials. It also offers a solution for finding comparable transactions and conducting valuation reports. By searching for similar companies, it can determine their multiples, revenues, and valuations. The tool collects data from various data providers, including CrunchBase Zero and PitchBook, and scrapes it on its own. One of the most exciting solutions offered by Eilla AI is finding comparable transactions and doing valuation reports. This involves finding similar companies, analyzing their financials, average multiples, and what is driving these valuations. The tool automatically gathers and compares the data, providing valuable insights for startups, investors, and investment bankers.

How Eilla AI Works

The conversation turns to how it works. Nikola talks through using the software and explains the visuals on the screen, which includes tabs such as company, profile, competitor, research, buyer, selection, investment highlights, key questions, risks and mitigates, and a one-pager. The company profile page provides a consolidated set of information about the company, including its headquarters location, number of employees, founding status, total raised, and last transaction. The company description, industry, problem solved, key team members, funding, product, clients, business model, digital intelligence, and news are all included. The platform is similar to CrunchBase and other data aggregators, but it aggregates data from various sources, such as LinkedIn, their website, CrunchBase, and Capita. The platform also offers footnotes for each piece of data, allowing users to hover over it to see the source of the information. The platform also provides information on the website traffic, such as the source and the number of followers.

Aggregating Data from Various Sources

Nikola explains how the tool works using competitor research as the example to find the closest competitors to Pay Hawk. He explains that this process saves time and helps save time by aggregating data.  However, what differentiates Eilla AI is what happens on top of this aggregated data. It uses a proprietary database of in-depth product information to gather information from over 7 million companies, ranking them based on funding, cat count, and other factors. AI is used to determine the number of competitors and similar companies. 

A Vertical View of Information

Users can select a few companies to dive deeper into, and a vertical view allows for a comparison table. The table includes company name type, description, product description, headquarters location, team, year of founding, last round of funding, status, ownership status, detailed offering, unique selling proposition, and target market. The information is organized in a way that would take weeks to pull together. Users can use the vertical view to see the companies side by side. The platform also includes green dots on product descriptions to indicate high similarity and source information. This tool is unique in that it not only provides data but also replicates the workflow of competitor research. It offers insights such as a SWOT analysis on the strengths, weaknesses, opportunities, and threats of Pay Hawk versus its competitors.

Product and Services

The platform also includes a Products and Services tab with bullet points around PayHawk versus its competitors. Each product has a footnote where users can click to see the sources and scroll down to understand the differences between the two companies. Nikola also mentions the upcoming release of Cap IQ Financial, which includes important information like revenue, beta, valuation, and financials. The buyer selection tab is particularly interesting, as it shows all similar companies to Payco, including acquisitions and mergers. These companies are split into potential strategic buyers, competitors, and financial buyers. The tool also highlights the similarities between Pay Hawk and other companies, such as Visma and Instant, a platform that automates control for secure payments and trustworthy suppliers. The platform also assesses the financial capabilities of the company to buy companies like Pay Hawk.

Eilla AI Features Eilla AI 

Nikola explains that the platform aims to replicate the workflow of investors and investment bankers by breaking down complex workflows into simpler steps. This is done by breaking down data from various sources, such as data providers, CRMs, emails, and nodes. The goal is to provide a comprehensive overview of the company's funding, team, head count, product, services, USP, and detailed offering. The platform also offers a one-pager, which can be easily downloaded and viewed as a PDF. This information provides a detailed overview of the company's funding, team, head count, product, and services, as well as its unique selling points. The platform also provides a free seven-day trial for potential customers, such as corporate executives or business consultants looking for acquisitions.

Eilla AI Pricing Schedule

The pricing schedule is based on the number of requests per user and the amount of time spent on due diligence. For larger companies, the standard price is $98 per month per seat, while for smaller companies, it is $300 per month per user. The platform also offers a free seven-day trial for those interested in trying out the product without the need for sales meetings.

Timestamps:

02:38: Overview of Eilla AI’s Services 

04:46: Demonstration of Eilla AI’s Capabilities 

09:50: Competitor Research and Insights 

16:08: Buyer Selection and Investment Highlights 

20:18: Key Questions and Risks Mitigation 

22:09: Customer Base and Pricing 

24:50: Conclusion and Next Steps 

Links:

https://Eilla.ai

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