Technology
Intuitive. Intelligent. Involving.
The smart sales tool in your pocket.
Work less. Sell More.
Service-As-Software
Past decades of automation were all about efficiency: a machine helped a human speed up a variety of tasks. The current decade is where efficiency takes an AI-fueled leap forward, and things get exponentially messier. Software once merely digitized and augmented human work and services, but in automation 2.0, bots become brains.
AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS. In the software business, a company may sell access to its platform or tool, but customers are still responsible for using that tool to achieve the desired outcome. In the services business, responsibility for achieving the desired outcome sits with the company selling the service.
Customizable
Customizable and adaptable sales processes to meet unique industry and business needs.
Intelligent
AI driven data entry frees salespeople to focus on what they love, engaging with customers and closing deals.
Insightful
Real-time intelligent analytics delivering insights on activity, engagement, pipeline, and sales for data-driven decisions.
Mobile
Manage your opportunities on the go from your phone. Integrated with your favourite apps google maps, WhatsApp and LinkedIn.
Engaging
Turn mundane tasks into exciting challenges. Compete against your colleagues and climb to the top of the leaderboard.
Agentic Framework Powering LLMs
The idea of “agentic” behavior in AI centers on building systems that can act with autonomy, making decisions and completing tasks with little need for human input. These AI “agents,” powered by large language models (LLMs), can understand context, generate relevant responses, and carry out actions based on set goals, enhancing both productivity and the breadth of AI-driven tasks.
One standout framework for achieving this agentic behavior is LangChain. LangChain makes it easy for developers to create LLM-powered applications by providing a modular, adaptable structure. This setup enables developers to build advanced, context-sensitive agents that can make real-time decisions and take actions on their own.
As AI progresses, frameworks like LangChain are laying the groundwork for highly capable agents that can independently tackle real-world problems.