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Orum provides an AI Conversation Engine for revenue teams, enhancing outbound sales efficiency. This platform facilitates smarter dialing, boosts live connection rates, and provides context-aware AI coaching. It automates tasks like intelligent call routing, voicemail drops, and detailed note generation, allowing professionals to focus on impactful interactions.
Jason Dorfman and Karthik Viswanathan founded Orum in 2018, stemming from Dorfman's direct experience with sales productivity challenges. As Rubrik's initial sales hire and builder of its sales team, Dorfman identified outbound calling inefficiencies, which Viswanathan's AI expertise addressed.
Over 1,200 revenue teams utilize the platform to optimize sales outreach. Orum's vision redefines revenue generation, empowering professionals to prioritize meaningful engagements. The company continuously enhances sales effectiveness through AI, transforming every conversation into a strategic growth opportunity.
Orum has raised $73.2M across 4 funding rounds.
Orum has raised $73.2M in total across 4 funding rounds.
Orum has raised $73.2M across 4 funding rounds. Most recently, it raised $22.0M Series B in November 2022.
Orum has raised $73.2M in total across 4 funding rounds.
Orum's investors include Bain Capital Ventures, Intel Capital, Rain Capital, Sapphire Ventures, Tribe Capital, Sameer Gandhi, Abstract Ventures, Andreessen Horowitz, Angel investor, Jana Messerschmidt, Banana Capital, BoxGroup.
Orum is an AI-powered live conversation platform that automates outbound calling for sales teams, enabling parallel dialing (up to 7 lines), voicemail detection, bad number filtering, and instant connections to live prospects, boosting daily conversations from 10-15 to 30-50+.[1][2][3] It serves sales and marketing teams by integrating with CRMs like Salesforce, HubSpot, and Outreach, solving the problem of low connect rates and wasted dialing time while adding conversation intelligence, real-time analytics, AI coaching, and virtual salesfloor collaboration.[1][2][3][5] With over one billion calls powered since inception, $22M in funding, and recent launches like a context-aware AI enablement suite in May 2025, Orum shows strong growth momentum, reporting up to 400% connect rate increases and $29.4M revenue.[1][4]
Founded in 2018 in San Francisco (headquarters at 333 Roosevelt Way), Orum—formerly Dialbot—emerged from founders' sales expertise, including CEO and Co-Founder Jason Dorfman, who built sales teams and understood the need for tools blending human sales skills with AI to make outbound calling efficient.[1][2][4][5] The idea stemmed from recognizing that conversations drive 51% of sales pipelines, yet traditional dialing wasted time on voicemails and unproductive numbers; early traction came from AI-driven parallel dialing that dramatically scaled connects.[1][4][5] Pivotal moments include raising $22M total funding, achieving ISO 27001 certification in 2023 for data security, releasing the State of Sales Development report in 2023, and expanding in 2025 with AI coaching beyond dialing.[1][4]
Orum rides the AI sales acceleration trend, where generative AI shifts revenue tools from automation to agentic coaching amid rising demand for efficient outbound in a noisy market.[1][6] Timing aligns with post-2023 AI hype, as sales teams face phone-based pipeline dominance (51%) while battling compliance and low connects; market forces like CRM ubiquity and remote work favor its integrations and virtual tools.[1][4] It influences the ecosystem by powering billions of calls, enabling scale for startups and enterprises, and pushing competitors toward AI enablement, humanizing sales through tech that prioritizes live interactions over rote dialing.[5]
Orum is poised to dominate as the go-to AI conversation engine, expanding from dialing leader to full revenue OS with agentic AI that coaches teams in real-time. Trends like multimodal AI and deeper CRM embeddings will amplify its edge, potentially doubling revenue as adoption grows among scaling sales orgs. Its influence may evolve into ecosystem standards for phone-based pipelines, tying back to its core: accelerating human conversations at scale.[1][6]
