Datuum is an AI-powered no-code tool that accelerates data onboarding from various data sources into one place, thus saving up to 80% of time and money on data projects.
Текущее состояние
Ten completed projects and 3 one-year length contracts have been signed as of now. Five customers are in the pipeline and waiting for a new product version to start cooperation.
Рынок
The product we are designing is industry agnostic and fits any organization that goes through transformation processes. Though the primary target is consulting companies and vendors that provide data-based solutions (e.g., analytics, Data Science, etc.) Here we have focused on four domain areas: Healthcare, Veterinary, Automotive, and AdTech, where we have the biggest exposure due to the past experience of our team in the past.
Проблема или Возможность
many companies still manually collect, move and transform data from different sources into one, spending millions of dollars and hours on that.
In our recent integration, we successfully combined data from 12 different CRMs into a single database. This process would typically take 1-2 months per system if done manually. Our efficient approach allowed us to complete the task in a fraction of the usual time, significantly reducing the overall duration from 18-24 months to just one month.
Решение (Продукт или Услуга)
The usual data migration process for Enterprise level clients lasts 2-3 years involving a team of 6-10 Data Engineers. Such projects are long-lasting, include a lot of manual work in data processing, are extremely expensive, accompanied by a long recruiting process of finding and hiring data engineers. Our AI engine helps to automate data processes:
-data ingestion from a file,
-building an extract from a legacy database,
-moving data from point A to point B with minimal effort,
-generating a data pipeline,
-checking the quality of the data on an ongoing basis.
Конкуренты
Osmos OneSchema Flatfile most of the alike companies build ETL processes and try to automate them in different ways. Those companies create semi-automated ways of data processing, they don’t have the tech base that we use. Most of the product is built by developers for developers.
Преимущества или дифференциаторы
The biggest advantage of the product is that it is built by people who have in total 40+ years of experience in data management and data operations. We know what are the main pains and how they can be solved using the most advanced technologies.
We use a unique AI engine and neural network that could be educated with on millions of records from different domains. The bigger amount of data we run through the engine the more precise results we give to the end-user and the smaller amount of manual effort has to be spent on the project. Our AI understands data meaning of data as humans do.
Our product can be used for non-tech specialists while most of the alike products are made by devs for devs
Финансы
Business model: Monthly or Annual Platform subscription fee The monthly subscription fee will average $10K with an estimated average LTV $160K for 2024.
Бизнес-модель
We build a B2B product
The business model is a monthly or Annual Platform subscription fee
The monthly subscription fee is an average $10K
Целевое назначение инвестиций
Mostly we need money to boost our sales & marketing. Also, a part of the will be spent on community building and R&D improvements.
