Avina

About Avina

Avina is an AI-powered Go-To-Market (GTM) platform engineered for modern revenue teams, including Sales, Marketing, and Revenue Operations. Its core function is to identify and prioritize high-intent prospects by unifying and analyzing disparate buying signals across an organization's entire tech stack. The platform aggregates data from first-party sources (CRM activity, email/call interactions), third-party intent providers, and public web data (company news, job changes, ad engagement). Avina's key differentiator is its use of Large Language Models (LLMs) to comprehend the full context behind each signal, interpreting not just the action but its underlying meaning to score and rank accounts with human-like judgment. This results in a dynamic, live list of warm opportunities, enabling teams to act decisively before competitors. Avina seamlessly integrates with essential tools like Salesforce, HubSpot, LinkedIn, Salesloft, Apollo, and Outreach, automating the transition from intent detection to action by pushing hot accounts to reps, building targeted ad audiences, and triggering personalized sales sequences.

Features of Avina

AI-Powered Signal Scoring & Prioritization

Avina employs advanced Large Language Models (LLMs) to analyze the full context of every captured interaction. Unlike basic rule-based scoring, it interprets what a prospect did and, critically, what that action signifies about their buying intent. This allows the platform to prioritize accounts based on nuanced, composite signals—such as reading a relevant case study combined with a key persona's job change—delivering a ranked list of opportunities as a human sales leader would, but at scale and in real-time.

Unified Intent Data Aggregation

The platform functions as a central nervous system for buying signals, integrating data from a comprehensive array of sources. This includes web intent data, CRM activity logs, email and call interaction transcripts, digital ad engagement metrics, job change alerts, and relevant company news. By correlating these signals, Avina provides a holistic, 360-degree view of account activity, eliminating data silos and ensuring no critical in-market signal is missed by revenue teams.

Automated Workflow Orchestration

Upon identifying a high-priority account, Avina triggers automated actions across the GTM stack without manual intervention. It can automatically create and enrich lead/contact records in CRMs like Salesforce or HubSpot, add prospects to targeted sales sequences in tools like Outreach or Salesloft, and build lookalike audiences in advertising platforms. This turns signal detection into immediate, coordinated execution, ensuring timely engagement.

Seamless Integration & Delivery

Designed for operational efficiency, Avina integrates natively with core sales and marketing platforms including Salesforce, HubSpot, LinkedIn, Apollo, Instantly, and more. Processed signals and prioritized accounts are delivered directly into team workflows via a centralized Signals Inbox, real-time Slack alerts, or by syncing enriched data directly to CRM objects. This ensures the intelligence is actionable within the tools teams already use daily.

Use Cases of Avina

Accelerating Sales Development Representative (SDR) Productivity

SDRs use Avina to focus their outbound efforts exclusively on in-market accounts. The platform filters out noise and delivers a daily shortlist of warm, AI-prioritized leads with full context on their intent signals. This enables SDRs to craft highly personalized, timely outreach based on specific prospect activities (e.g., "I saw your team was researching X topic"), dramatically increasing connection and qualification rates while reducing time spent on unproductive prospecting.

Powering Account-Based Marketing (ABM) Campaigns

Marketing teams leverage Avina to identify and target accounts displaying active buying signals for ABM programs. The platform can automatically build and update ad audiences based on intent-rich account lists and provide content engagement insights. This allows marketers to deliver hyper-relevant advertising and content to accounts that are actively in-market, improving campaign ROI and creating sales-ready opportunities.

Enhancing Revenue Operations Intelligence

Revenue Operations professionals utilize Avina to create a data-driven feedback loop for the entire GTM motion. By analyzing the aggregate signal data and AI scoring outcomes, they can refine Ideal Customer Profile (ICP) definitions, optimize lead scoring models, and measure the true source of pipeline generation. This leads to more efficient resource allocation, improved sales and marketing alignment, and better forecasting accuracy.

Enabling Executive and Competitive Monitoring

Sales leaders and executives use Avina to monitor key accounts and competitive landscapes proactively. The platform tracks news, job changes, and technology adoption signals at target accounts, providing alerts when strategic opportunities or risks emerge. This enables leadership to guide their teams with insight, ensuring they engage with the right stakeholders at the perfect moment during a company's change or growth cycle.

Frequently Asked Questions

What data sources does Avina integrate with?

Avina integrates with a wide array of first-party, third-party, and public data sources. Key integrations include CRM platforms (Salesforce, HubSpot), sales engagement tools (Salesloft, Outreach, Apollo), email and calendar systems, advertising platforms, and web intent data providers. It also continuously monitors public web sources for company news, job postings, and executive changes to provide a comprehensive signal picture.

How does Avina's AI scoring differ from traditional lead scoring?

Traditional lead scoring is typically rule-based, assigning static points for predefined actions (e.g., +10 for a website visit). Avina's AI scoring uses LLMs to understand the contextual meaning and combination of signals. It evaluates why an action might indicate intent, considering the seniority of the persona, the relevance of the content engaged with, and the confluence of multiple signals over time, resulting in a dynamic, nuanced priority score that adapts like human judgment.

Can Avina automate outreach based on the signals it detects?

Yes, a core capability of Avina is workflow automation. When the platform identifies a high-intent account that matches your ICP, it can automatically trigger actions. This includes creating or updating records in your CRM, adding contacts to predefined sales sequences in tools like Outreach or Salesloft, and even building targeted ad audiences to engage the account across channels, ensuring immediate follow-up.

How quickly can my team start seeing results with Avina?

Avina is designed for rapid implementation and time-to-value. Teams can typically be onboarded and start receiving prioritized signal alerts within 30 minutes. The platform begins aggregating and processing data from connected sources immediately. Users often report identifying previously missed warm opportunities within the first few days of use as the AI model starts delivering its live, ranked list of accounts.