TAKTYS analyzes internal communication data to provide insights into organizational networks and collaboration patterns. Their platform helps companies understand how teams interact, identify communication bottlenecks, and measure organizational health in near real-time. This allows businesses to optimize workflows and improve overall organizational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
In today's complex B2B environment, organizations struggle to manage rising volumes of communication across diverse channels, leading to missed opportunities and reduced productivity. Businesses often lack clear visibility into internal and external collaboration patterns, making it difficult to optimize workflows and identify key stakeholders. This lack of insight can result in lost deals, inefficient resource allocation, and weakened customer relationships.
Solution
TAKTYS provides an AI-driven platform that analyzes internal communication data from sources like email, calendar entries, and chat logs to provide actionable insights into organizational networks and collaboration dynamics. The platform models relationship networks, correlates interaction metrics with business KPIs, and identifies risks of collaboration overload. By uncovering hidden patterns and potential dysfunctions, TAKTYS helps businesses optimize collaboration, strengthen relationships, and better leverage their organizational network. The platform generates recommendations for senior management and sellers, enabling data-driven decisions to improve sales effectiveness, lead generation, and overall organizational efficiency.
Target Audience
TAKTYS targets sales and business development teams, senior management, and organizations undergoing mergers and acquisitions seeking to improve collaboration efficiency, lead generation, and overall business performance.
Features
- AI-powered analysis of communication data from email, calendar, and chat platforms
- Relationship network modeling to visualize and understand collaboration patterns
- Identification of collaboration risks, such as overload and communication bottlenecks
- Detection of effective collaboration practices and organizational dysfunctions
- Correlation of interaction metrics with business KPIs, such as sales results and win rates
- GDPR compliance with data privacy by design, excluding private interactions and applying blurring techniques
- Customizable scope limits to analyze interactions with selected organizations
- Reporting dashboards showing collaboration evolution over time and the impact of organizational changes