Aomni

Aggregates structured and unstructured data from 20+ sources (financial databases, news feeds, company registries, social signals) into unified account profiles containing 1000+ data points per target account. Uses waterfall enrichment pattern where data is progressively layered and deduplicated across sources, with conflict resolution prioritizing recency and source reliability. Outputs comprehensive account intelligence including company financials, headcount, technology stack, recent news, and organizational changes.

Identifies key stakeholders and decision-makers within target accounts using organizational hierarchy analysis, role-based filtering, and buying committee composition patterns. Generates individual profiles including job title, reporting structure, LinkedIn URL, email (Pro+ tier), phone (Enterprise), and inferred buying influence based on department and seniority. Uses multi-signal matching to correlate individuals across data sources and resolve identity ambiguity.

Enables sales teams to collaborate on research, share custom playbooks, and standardize outreach approaches across the organization. Allows team members to save research workflows, email templates, and account strategies as reusable playbooks that can be applied to new prospects. Supports role-based access control (admin, manager, rep) with audit trails for compliance and governance.

Scores prospects and accounts based on fit, intent, and engagement signals to help sales teams prioritize outreach. Uses multi-factor scoring combining company profile data (industry, size, technology stack), buying signals (news events, funding), and engagement metrics (email opens, LinkedIn interactions) to generate priority scores. Enables custom scoring rules based on sales playbook criteria.

Generates multi-touch sales sequences (email, LinkedIn, call scripts) tailored to individual prospects by analyzing prospect profile, company context, and inferred pain points. Uses prospect-specific data to create personalized messaging at scale, with sequence templates that adapt based on industry, company size, and role. Outputs ready-to-use email copy, LinkedIn message templates, and call talking points without requiring manual editing.

Analyzes prospect company profile, industry trends, and technology stack to infer specific pain points and generate laser-focused value propositions that connect prospect needs to solution capabilities. Uses industry benchmarking, competitive intelligence, and company-specific signals (recent funding, headcount changes, technology adoption) to identify buying triggers and craft messaging that resonates with prospect priorities. Outputs value prop statements, pain point summaries, and solution-fit analysis.

Generates comprehensive account plans including stakeholder maps, buying committee analysis, competitive landscape, account strategy, and ready-to-use deliverables (executive summaries, pitch decks, ROI calculators). Synthesizes account research, decision-maker profiles, and value proposition analysis into a structured account strategy document. Outputs multi-page account plans with sections for account overview, opportunity assessment, engagement strategy, and success metrics.

Allows users to define custom research workflows that execute multi-step research tasks tailored to specific sales playbooks. Enables workflow composition using building blocks (data enrichment, stakeholder identification, competitive analysis, news monitoring) with conditional logic and custom filters. Workflows execute autonomously and can be reused across multiple prospects, with results stored in Aomni for future reference.

Integrates with email and LinkedIn to enable direct message sending from Aomni-generated sequences. Connects to user's email account (SMTP or OAuth) and LinkedIn profile to send personalized emails and LinkedIn messages directly from the platform. Tracks open rates, click rates, and reply rates for sent messages, with results synced back to Aomni for analytics and sequence optimization.

Syncs Aomni research results, prospect profiles, and engagement data back to connected CRM systems (Salesforce, HubSpot, Pipedrive, etc.). Automatically populates CRM fields with enriched company data, contact information, and account intelligence. Supports bidirectional sync where CRM prospect lists can be imported into Aomni for bulk research, and results exported back to CRM for sales rep access.

Monitors news feeds, press releases, SEC filings, and company announcements for target accounts to detect buying signals and business events. Identifies events such as funding rounds, executive changes, product launches, earnings reports, and technology adoptions that indicate buying intent or organizational changes. Sends notifications when relevant events are detected for monitored accounts, with context on why the event is relevant to sales outreach.

Analyzes aggregated account and prospect data to generate insights and recommendations for sales strategy. Uses statistical analysis, trend detection, and pattern matching to identify opportunities, risks, and optimization areas. Generates insights such as optimal contact timing, most receptive buyer personas, competitive threats, and account prioritization recommendations based on data patterns.