Worknet
VerifiedUSD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 45 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | $0.0 | round |
investor | $0.0 | round | |
* | N/A | $5.0m | Seed |
Total Funding | 000k |
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EditWorknet.ai is an artificial intelligence (AI)-powered platform that enhances customer service operations by guiding agents, leveraging customer data, and connecting experts. The startup operates in the customer service and AI technology market, serving businesses that aim to improve their customer support efficiency and quality.
Worknet.ai's primary function is to manage customer service tickets more effectively, enabling support teams to handle 20% more tickets. This increase in productivity results in improved response times and quality, leading to higher customer satisfaction and potentially increased revenue. The platform uses AI to auto-prioritize customer service issues, allowing businesses to allocate their resources more effectively based on real-time data.
The platform also offers unique features such as Agent's shorthand, which crafts tailored responses in the agent's style based on a simple input like "I'm on it." This feature not only saves time but also ensures consistency in communication. When a ticket reveals a knowledge gap, Worknet.ai can draft a help article in the preferred style and structure of the business. It can also suggest responses based on existing knowledge base articles, internal notes, and Slack conversations.
Worknet.ai's business model is likely based on a subscription or usage-based fee, where clients pay for the platform's services. The startup's revenue is generated from these fees paid by businesses to use their AI-powered customer service platform.
Keywords: Artificial Intelligence, Customer Service, Efficiency, Real-Time Data, Resource Allocation, Tailored Responses, Knowledge Base, Subscription Model, Revenue Generation, Expert Connection.