Akkio
VerifiedUSD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 18 % | 238 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
investor | $0.0 | round | |
investor investor | $0.0 | round | |
* | $15.0m | Series A | |
Total Funding | 000k |
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EditAkkio is a startup that operates in the artificial intelligence (AI) and data analytics market. The company provides AI-powered analytics and predictive modeling services to businesses, enabling them to interact with their data, create live charts and graphs, and predict future trends. This is done through a custom chatbot that allows clients to ask questions and gain insights without needing to write a line of code.
The company's business model revolves around providing a platform where clients can connect their data, describe their project goals, and receive an AI-generated report to optimize ad spend, track trends, or any other business need. This platform also allows clients to build custom machine learning models and deliver their predictions directly to clients via data integrations or API.
Akkio's services are particularly useful for marketing teams, as they can help rank marketing leads by likelihood to convert, thus focusing efforts on the highest probability revenue. The company also offers services for forecasting revenue, component and commodity prices, and market growth.
In addition, Akkio provides tools for parsing survey results, evaluating sentiment, routing form fills, and making quick business decisions from free-form text. It also helps businesses predict which of their customers are most likely to leave, enabling them to prevent customer churn.
Akkio generates revenue by charging clients for access to its platform and services. The company places a strong emphasis on data privacy and security, implementing information security controls in every part of its operations.
Keywords: Artificial Intelligence, Data Analytics, Predictive Modeling, Chatbot, Machine Learning, Marketing Leads, Revenue Forecasting, Sentiment Analysis, Customer Churn, Data Privacy.