Aimiable
Overview
Aimiable is a software company focused on developing AI-driven solutions for customer support teams and contact centers. Founded in 2023 and headquartered in Miami, Florida, Aimiable aims to enhance the efficiency and flexibility of customer support operations through its innovative AI scheduling, forecasting, and reporting tools. The company's founders are Olga Gomonova, a former McKinsey and Microsoft executive, and Kelly Wu, who has a background at Twitter and Spotify.
Recent Developments
- Partnerships and Launches: In early 2024, Aimiable announced a strategic partnership with Support Driven, a community dedicated to customer support professionals. This partnership aims to foster knowledge sharing and innovation in the customer support industry.
- Podcast Launch: Towards the end of 2023, Aimiable launched a podcast titled "Support Ops Stories," focusing on real-life stories and insights from customer support leaders, emphasizing the human aspects of customer support roles.
- Product Enhancements: Aimiable has continuously improved its AI-powered platform, introducing new features that enhance the flexibility and usability of its scheduling and forecasting tools. In mid-2024, it released updates that allow for data-free forecasting, enabling accurate predictions even without historical data.
- Industry Recognition: In mid-2024, Aimiable was named a top new tool in the loyalty management sector by Value Market Research, underscoring its innovative approaches to customer support.
- CEO Insights: Olga Gomonova, CEO of Aimiable, published a thought piece in AI Journal discussing the importance of blending human empathy with AI efficiency in customer support teams.
Company Information
| Attribute | Information |
|---|---|
| Founding Date | 2023 |
| Headquarters | Miami, FL, USA |
| Founders | Olga Gomonova, Kelly Wu |
| Industry | Software Development |
| Number of Employees | 11-50 |
| Major Products/Services | AI Scheduling, AI Forecasting, Reports & Insights |
Early History
Aimiable was founded by Olga Gomonova and Kelly Wu, who shared a vision of transforming customer support through AI technologies. They met at a tech event where they discovered their mutual interest in alleviating the complexities faced by support teams. Leveraging their extensive backgrounds in tech and operational management, they established Aimiable to create intuitive AI solutions that streamline customer support operations.
Company Profile and Achievements
Aimiable specializes in providing AI-based tools designed to optimize customer support team workflows. Its platform offers products like Ultra-Flexible Scheduling and AI Forecasting, which are designed to improve efficiency and agent satisfaction. The company achieved notable milestones including:
- Launching the Support Ops Stories podcast that addressed real-world challenges in customer support.
- Developing a hyper-flexible scheduling system that takes into account various operational dynamics such as remote work and multi-channel management.
- Enhancing the AI prediction models to continuously learn and improve, leading to significantly reduced forecasting errors.
Current Operations and Market Position
Aimiable is actively engaged in the development and enhancement of its AI-driven solutions for customer support. The company's innovative platform positions it as a key player in the software development industry, particularly within customer support and service operations. By offering unique, adaptable solutions tailored to modern support team needs, Aimiable maintains a competitive edge and continues to innovate in response to industry demands.
Conclusion
Aimiable stands out in the software development industry for its commitment to revolutionizing customer support with AI. The company's ability to blend human empathy with cutting-edge technology places it in a unique position to drive future advancements in support operations. With ongoing product enhancements and strategic partnerships, Aimiable is poised to solidify its role as a leader in transforming customer support processes through AI-driven solutions.