Aurasell raised $30 million in a seed round in August 2025, led by Next47 with participation from Menlo Ventures and Unusual Ventures. The round closed within 28 hours, with $25 million secured in the first 12 hours.

Initially oversubscribed at $40 million, the round was scaled back to $30 million. Investors had prior board relationships with founders Jason Eubanks and Srinivas Bandi through their previous roles, including at Harness.

This marks Aurasell's first institutional funding round since its inception in August 2024.

Aurasell is an AI-native CRM that integrates the functionality of 15 sales tools into a single platform. Instead of adding AI features to existing systems, Aurasell designed its data model specifically to operate with large language models and AI agents.

The platform incorporates a database containing 85 million company records and 800 million contacts, updated in real time. Sales activities, including emails, calls, meetings, pipeline updates, and quotes, are consolidated into a unified data graph that functions as a single source of truth for AI agents.

Users interact through an Agentic Workbench, which provides AI-generated insights such as accounts matching their ideal customer profile, prioritized contacts, and identified deal risks. The prospecting feature generates value propositions for target accounts and creates multi-step outreach sequences across email, voice, and text.

During sales calls, the Whisper feature processes speech in real time, converts it into structured deal data, assigns follow-up tasks, and stores transcripts in opportunity records. The integrated CPQ module manages product catalogs, pricing rules, PDF generation, and e-signature workflows without requiring additional tools.

The platform also offers forecasting capabilities using Monte Carlo simulations that incorporate macroeconomic signals and live pipeline updates. Custom AI workflows can be created with no-code tools to automate complex sales processes and routing decisions.

Aurasell operates a B2B SaaS model targeting mid-market companies seeking to replace fragmented sales tool stacks. The company charges annual subscription fees per user, with pricing starting at $20,000 per year for smaller customers and increasing for larger implementations.

The primary value proposition focuses on tool consolidation rather than feature differentiation. By replacing 10-15 separate sales software subscriptions with one platform, Aurasell captures a larger share of customer budgets while reducing overall sales technology costs by approximately 50%.

The business model leverages high switching costs once customers migrate their sales processes and data into the unified platform. The AI-native architecture generates network effects, as increased customer data enhances the quality of insights and automation for all users.

Aurasell made significant upfront investments to build comprehensive functionality across the entire sales workflow, rather than beginning with a point solution and expanding later. This required hiring 40 engineers, with half dedicated to AI development, and constructing costly infrastructure to support real-time data processing and AI model inference.

The company's cost structure includes substantial pass-through expenses for third-party data sources and AI model usage, consistent with other data-intensive SaaS platforms. However, the premium pricing enabled by tool consolidation supports strong unit economics despite these variable costs.

Attio is a direct competitor, having raised €44 million in Series B funding to develop a programmable CRM platform. Attio emphasizes customization and flexibility, enabling customers to create bespoke data models and workflows. However, its out-of-the-box functionality is narrower compared to Aurasell's broader sales suite.

Gong has transitioned from conversation intelligence to a full Revenue AI Platform, generating over $300 million in ARR. Gong's competitive advantage lies in its established enterprise customer base and extensive product offerings across forecasting and engagement. Despite this, Gong depends on Salesforce or Microsoft as the system of record rather than replacing the core CRM.

ServiceNow introduced its CRM platform in May 2025, leveraging existing workflow automation capabilities and enterprise relationships. With $1.4 billion in annual contract value and 30% growth, ServiceNow competes on process orchestration across workflows but lacks sales-specific features such as prospecting sequences.

Salesforce remains the dominant CRM provider, integrating Einstein AI and Copilot features into its Sales Cloud platform. While Salesforce benefits from scale and enterprise relationships, its AI capabilities are limited by legacy data architecture not optimized for modern AI workflows.

HubSpot and Microsoft Dynamics are also embedding generative AI into their platforms. Both companies leverage large installed bases and integrated marketing/sales suites but face challenges adapting older systems to AI-first workflows due to technical debt.

Apollo and ZoomInfo offer go-to-market platforms that combine data, sequencing, and light CRM functionality. These platforms compete by providing single-login access and seat-based pricing but restrict users to proprietary data sources, unlike Aurasell's vendor-agnostic approach.

Emerging players like Persana AI are developing Clay-style data orchestration tailored to sales workflows. These platforms prioritize data enrichment and workflow automation but lack the native, comprehensive CRM functionality offered by Aurasell.

Aurasell plans to expand its focus from sales into customer service and marketing automation, leveraging its AI-native approach. This expansion would enable the company to address the entire customer lifecycle, from lead generation to renewal, broadening its addressable market from the $60 billion sales software segment to the $150 billion customer experience and marketing automation category.

The platform's existing AI workflow builder and unified data model serve as a basis for integrating support, marketing, and success team functionalities. This development could increase average contract values and raise switching costs as additional business functions become reliant on the platform.

Aurasell's custom workflow capabilities create an opportunity to establish a third-party marketplace for specialized AI agents and skills. Modeled after platforms like Salesforce's AppExchange, this marketplace could generate incremental revenue through fees while enhancing platform utility by expanding available functionalities.

Potential marketplace offerings might include industry-specific agents designed for tasks such as pricing strategy, legal review, or compliance workflows. The platform's embedded data layer and AI infrastructure would allow these third-party agents to integrate seamlessly with customer data and existing workflows.

With 800 million contacts and 85 million company records updated in real time, Aurasell could monetize its data assets through enrichment APIs or intent data feeds. This approach would create new revenue streams beyond software subscriptions, capitalizing on the company's investment in data infrastructure.

Potential customers for these data services include recruiting firms, marketing agencies, and vertical AI startups requiring access to extensive business contact information. This B2B2C model would diversify revenue sources and improve unit economics tied to the core platform investment.

AI commoditization: As large language models become widely available and AI capabilities standardize across platforms, Aurasell's differentiation based on its AI-native architecture may diminish. Established CRM providers such as Salesforce possess substantial resources to reengineer their platforms for AI workflows, potentially negating Aurasell's technical advantages while capitalizing on broader distribution networks and entrenched customer relationships.

Integration complexity: Many enterprise customers operate with intricate workflows and pre-existing integrations, making full CRM replacement challenging. High switching costs and implementation risks associated with migrating from platforms like Salesforce may restrict Aurasell's market to smaller customers or necessitate costly custom integration efforts, negatively impacting unit economics.

Data compliance: Managing a platform with 800 million contact records across multiple jurisdictions exposes Aurasell to significant regulatory risks related to data privacy, retention, and cross-border transfers. Emerging regulations, including the EU AI Act and evolving privacy laws, could necessitate substantial investments in compliance infrastructure or constrain the platform's ability to utilize its unified data model for AI training and insights.