Orum solves inefficient dialing with an AI platform that automates calls and quadruples connection rates. The result: more live conversations and booked appointments.
AI Cold Calling, Dialers & Voice Prospecting, AI Sales Automation & Workflow, Coaching, Training ...
Key Feature Rating & Critique Ideal for AI-Powered Parallel Dialing 4.6/5 (G2) – High Efficiency, Steep Learning Curve Scaling Sales Teams
Orum is a leading AI-powered sales conversation platform that aims to massively increase the efficiency of sales teams by automating the dialing process. By integrating AI dialers and coaching tools, Orum enables representatives to make up to four times more connections and focus on real conversations instead of manual dialing. It's the ideal solution for companies that want to fill their pipeline quickly and with data.
At the heart of Orum is the AI Dialer, which is based on insights from over one billion sales calls. The 'Boost Connect' feature automates the dialing process and instantly detects answering machines and incorrect numbers. This significantly reduces the time sales reps spend waiting for a dial tone. The AI intelligently decides who to call and when, automatically selecting the best number to maximize reachability.
Orum integrates seamlessly with existing tech stacks such as Salesforce, HubSpot, Outreach, and SalesLoft. After a call, the AI generates detailed notes and automatically updates the CRM. This eliminates administrative tasks and ensures that all data remains consistent. The platform also offers features like automatic voicemail leaving, which further boosts productivity. Live Coaching and Analytics: In addition to simply making calls, Orum offers agent-based, real-time coaching. Managers can monitor calls live and provide direct feedback to employees. The platform delivers deep insights into call statistics, allowing teams to optimize their strategies based on real data. The Main Problem: The Inefficiency of Manual Dialing: Many sales teams struggle with a low connect rate. Salespeople often spend hours manually dialing numbers, only to reach voicemail or busy lines. This leads to frustration, burnout, and a stagnant pipeline. In a highly competitive market in 2026, time is the most valuable resource, and manual dialing is a waste of that capacity. The solution: Orum's AI Conversation Engine. Orum solves this problem by taking over the mechanical aspects of making phone calls. The AI acts as a power multiplier. Instead of dialing numbers one after the other, Orum uses parallel dialing to handle multiple lines simultaneously. As soon as a human answers, the call is immediately transferred to the available agent. This ensures that agents can conserve their energy exclusively for high-quality human interactions. Results: More appointments, more revenue. The results from over 1,200 customers, including IBM, Samsung, and Ramp, speak for themselves. Users report up to a 4x increase in call rates. This directly translates to more booked meetings and a more qualified pipeline. Companies like Ramp emphasize that their employees can have 'better conversations faster' with Orum, accelerating the entire sales cycle. Practical Use Cases 2026: In 2026, companies will primarily use Orum for high-volume prospecting. A typical scenario is the rapid processing of inbound leads or cold calling in new markets. By combining it with AI-powered analytics tools, teams can accurately identify which target groups are showing the highest response rates and adjust their campaigns in real time. Pricing & Competitive Analysis: Compared to competitors like Outreach or SalesLoft, Orum primarily positions itself as a specialized 'execution layer' for telephony. While Outreach offers a wide range of sequencing tools, Orum is often superior in pure dialing efficiency. The pricing is designed for companies with high call volumes that want to see a clear ROI through increased meeting numbers. Users particularly praise the ease of use and the first-class support, but note that a certain amount of training is required for very rapid call sequences.
