expert.ai
Financials
Estimates*
HKD | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
---|---|---|---|---|---|---|---|
Revenues | 257m | 261m | 199m | 214m | 321m | 365m | 418m |
% growth | (12 %) | 2 % | (24 %) | 7 % | 50 % | 14 % | 14 % |
EBITDA | 20.5m | (66.3m) | (27.6m) | 38.3m | 72.8m | 105m | 128m |
% EBITDA margin | 8 % | (25 %) | (14 %) | 18 % | 23 % | 29 % | 31 % |
Profit | (49.4m) | (143m) | (155m) | (212m) | (10.9m) | 20.0m | 41.9m |
% profit margin | (19 %) | (55 %) | (78 %) | (99 %) | (3 %) | 5 % | 10 % |
EV / revenue | 3.9x | 4.0x | 2.2x | 3.6x | 4.0x | 3.5x | 3.0x |
EV / EBITDA | 49.1x | -15.8x | -15.9x | 19.9x | 17.6x | 12.1x | 9.7x |
Date | Investors | Amount | Round |
---|---|---|---|
$5.0m | Series C | ||
N/A | $50.0k | Seed | |
€3.0m | Early VC | ||
N/A | €17.3m Valuation: €39.5m | IPO | |
€7.0m | Post IPO Equity | ||
* | €3.0m | Post IPO Equity | |
N/A | $29.4m | Post IPO Equity | |
Total Funding | CAD11.4m |
Related Content
Recent News about expert.ai
EditExpert.ai is a leading enterprise AI company specializing in natural language understanding (NLU) to solve complex language challenges. The company provides AI-driven solutions that transform unstructured data into actionable insights, enhancing decision-making and operational efficiency. Expert.ai serves a diverse range of clients including publishers, insurers, pharmaceutical companies, and financial services firms. The company operates in the artificial intelligence and natural language processing (NLP) market, offering a subscription-based business model that generates revenue through licensing its software and providing support services. Expert.ai's solutions are designed to automate labor-intensive processes, classify documents, extract data, and enrich content with metadata, making it easier for organizations to manage and utilize their data effectively. By leveraging AI, expert.ai helps its clients streamline operations, improve customer interactions, and drive innovation. The company's platform is particularly beneficial for back-office processes, claims management, and risk engineering, among other applications.
Keywords: natural language understanding, AI solutions, data insights, document automation, metadata enrichment, decision-making, operational efficiency, insurance claims, risk engineering, NLP.