MA

Maven AGI

Artificial Intelligence, Enterprise Software, Generative AI

AI InfrastructureAI AgentsCustomer SupportEnterpriseBusiness AGI
Function:Customer Support
Subfunction:Chat Support / Chatbots
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Founded
2023
Employees
51-100
Funding
$78M total; $50M Series B
Stage
Series B, $7M ARR (2024)
Report version: Oct 24, 2025

1. Products/Services & Features

  • Main Offerings:

    • Agent Maven™ - Autonomous AI agent for customer support query resolution
    • Maven Copilot - AI assistant for customer service team support and guidance
    • Agent Designer - No-code tool for building and deploying customized AI agents
  • Feature Breakdown: Autonomous ticket resolution (up to 93%), omnichannel support (chat, email, voice, SMS, social), knowledge base integration, real-time escalation to human agents, AI-powered insights, 100+ platform integrations, multilingual support, 24/7 availability (Departments: Customer Support, Customer Success, Sales Operations, IT Support)

  • Business Industry Gearing: Enterprise-focused, particularly strong in SaaS, fintech, e-commerce, marketplaces, legal tech, and consumer brands

2. Security & Compliance

  • Certifications: SOC 2 Type II Certified, ISO 27001:2022, GDPR, PCI-DSS 4.0 Level 1, HIPAA Attestation, CCPA

  • Vendors/Tools: Third-party penetration testing, Azure, Google Cloud, AWS data centers, Cloudflare CDN

  • Risk Profile:

    • Breaches: No publicly disclosed data breaches
    • Features: Comprehensive audit trails, role-based access controls, two-factor authentication, encryption in transit (HTTPS/TLS 1.2+), encryption at rest (AES-256), quarterly red-team drills, monthly board reviews, annual ISO surveillance audits

3. User Feedback & Adoption

  • Aggregated Reviews: G2: 4.8/5 stars, #3 for Ease of Setup, #4 for Quality of Support, #5 for Artificial Intelligence

    • Pros: Highly responsive and supportive team, strong automation and cost savings (up to 93% ticket resolution, 80% cost reduction), comprehensive omnichannel support, flexible integrations (100+ tools), continuous learning and improvement, seamless human escalation, enterprise-grade security and compliance
    • Cons: Backend UI quirks (filters don't persist), disjointed workflow (separate operational pages), longer initial implementation and training, early-stage platform limitations
  • Adoption Insights:

    • Adoption Ease: Good - especially for integration and flexibility, though backend navigation could be streamlined
    • Adoption Cultural Fit: High for enterprise organizations prioritizing customer experience transformation, AI-driven automation, and operational efficiency
  • Metrics: 100% renewal rate, 15%+ CSAT lift reported by customers like Thumbtack

  • Barriers: Implementation complexity, need for knowledge base preparation, organizational change management for AI-first support model

4. Monetization & Business Model

  • Revenue Model: Usage-based SaaS subscription model

  • Pricing: Per-ticket pricing at $0.85/ticket (all-inclusive), enterprise custom pricing starting at $25,000/year (Sources: Maven AGI official pricing, vendor documentation, customer case studies)

  • Market Context:

    • TAM: Enterprise customer experience and support automation market, estimated multi-billion dollar TAM
    • Growth Stage: High growth, early-stage market adoption of agentic AI for enterprise CX

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Jonathan Corbin Co-founder & CEO - Former Global VP of Customer Success & Strategy at HubSpot, leadership roles at Adobe and Sprinklr. Expertise in customer success, go-to-market strategy, and business transformation. https://www.linkedin.com/in/jcorbin01 https://twitter.com/jcorbin01
Sami Shalabi Co-founder & CTO - Founder of Google News, scaled personalized products to 1B+ users. Previously at Google, IBM, Lotus. 55+ patents. Expertise in personalization, large-scale systems, and technical architecture. https://www.linkedin.com/in/sshalabi https://twitter.com/shalabi
Eugene Mann Co-founder & Chief Product Officer - Former Product Lead for Applied ML at Stripe, early GPT-4 beta tester. Google and Boston University background. Guides product strategy and AI-powered solutions. https://www.linkedin.com/in/eugenemann https://twitter.com/eugenemann
  • Key Metrics Update:

    • Funding: Series B - $50M (June 2025) led by Dell Technologies Capital
    • Employee Growth: Rapid growth from 0 to 80+ employees in ~2 years
  • News/Trends:

    • News Launch: Platform expansion across full customer journey (support, sales, success, operations)
    • News Partnerships: IBM Watsonx Orchestrate Agent Catalog integration, AWS Marketplace availability (July 2025), strategic partnerships with Dell Technologies Capital, Cisco Investments, SE Ventures
    • News Funding: Series B $50M raise (June 2025) with Dell Technologies Capital, Cisco Investments, SE Ventures, Lux Capital, M13, E14 Fund
    • News Challenges: Scaling enterprise adoption, competing with established customer support platforms, managing rapid growth

6. Target Audience & Use Cases

  • Target Market: Large enterprises with complex customer interactions, high support volumes, and fragmented systems

  • Target Users & Personas: Chief Customer Officers, VP of Customer Experience, Support Operations Leaders, Customer Success Managers, Sales Operations, IT/Digital Transformation Executives

  • User Experience Level: Enterprise-level technical and business users, ranging from non-technical business leaders to technical operations teams

  • Key Use Cases:

    • Autonomous customer support ticket resolution - handling billing, account issues, product inquiries, status checks, password resets
    • Proactive customer success - anticipating customer needs, recommending actions, reducing churn, driving adoption
    • Sales and revenue operations enablement - automating responses, surfacing CRM data, orchestrating workflows

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Reduces support headcount scaling needs, lowers operational costs, improves SLA response times, enables 24/7 multilingual support, reduces manual data entry and system switching
    • ROI Examples: Thumbtack: 15%+ CSAT lift, faster resolutions, more human-like interactions; Typical: 93% autonomous resolution rate, up to 80% support cost reduction, 10x faster ticket resolution
  • Fit Assessment: Excellent fit for enterprise organizations with high support volumes, complex customer interactions, and commitment to AI-driven transformation

  • Custom Rec Flags:

    • Priority ICP: Mid-market to enterprise SaaS companies, fintech firms, e-commerce platforms, and marketplaces with 500+ employees and $10M+ ARR
    • Short Term Goals: Expand platform adoption across customer journey (sales, success, operations), grow enterprise customer base, achieve profitability, expand international presence

8. Data Sourcing Notes

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