SA

Superglue AI

Software Development

AI Agents & VoiceAPI IntegrationAutomationNatural Language ProcessingPartner Engagement
Function:Sales
Subfunction:Channel & Partner Sales
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Founded
2024
Employees
7
Funding
$500K+ (pre-seed, YC W25)
Stage
Pre-seed
Report version: Oct 21, 2025

1. Products/Services & Features

  • Main Offerings:

    • Natural language-powered API integration and orchestration platform
    • Partner engagement and co-sell orchestration for B2B SaaS
    • Agentic AI workflow automation across apps and data sources
  • Feature Breakdown: Automated schema mapping, drift detection, self-healing mechanisms, LLM-assisted configuration, cached JavaScript transforms, on-prem deployment options, Slack integration, real-time recommendations, customizable engagement workflows (Departments: Sales, Partner Management, Operations, Engineering)

  • Business Industry Gearing: B2B SaaS, Enterprise Software, Channel Partners, VARs, SIs, ISVs

2. Security & Compliance

  • Certifications: SOC 2 Type I certified, GDPR compliant

  • Vendors/Tools: Independent CPA firms for SOC 2 audits

  • Risk Profile:

    • Breaches: No publicly disclosed security breaches
    • Features: SOC 2 Type I compliance, GDPR adherence, on-prem deployment options, no customer data stored outside infrastructure

3. User Feedback & Adoption

  • Aggregated Reviews: Positive user feedback on ease of use and adoption

    • Pros: Seamless onboarding, high adoption rates, streamlined remote collaboration, efficiency gains through automation, responsive customer support, powerful data integration capabilities, unified productivity tools
    • Cons: Steep learning curve for some users, pricing seen as challenging vs alternatives, minor AI agent errors, potential dependency on automation, feature requests for expanded functionality
  • Adoption Insights:

    • Adoption Ease: High - users report zero friction and faster-than-expected implementation
    • Adoption Cultural Fit: Strong fit for B2B SaaS companies with active partner programs and co-selling motions
  • Metrics: Not publicly disclosed

  • Barriers: Initial learning requirements, pricing considerations, need for integration with existing CRM and partner data platforms

4. Monetization & Business Model

  • Revenue Model: SaaS subscription with tiered pricing based on user seats and partner contacts

  • Pricing: Scale ($15-50/user/month for 3-9 seats, up to 2,000 contacts), Pro ($15-50/user/month for 10-30 seats, up to 5,000 contacts), Enterprise (custom pricing for unlimited seats/contacts) (Sources: Company website, third-party SaaS pricing databases)

  • Market Context:

    • TAM: B2B SaaS partner management and co-selling automation market
    • Growth Stage: Early growth - YC W25 batch company, pre-seed funding

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Stefan Faistenauer CEO and Co-founder. Stanford MS in Management Science & Engineering, prior experience at Google (APM), Plug and Play Ventures (Senior Associate), and Stanford Technology Ventures Program https://de.linkedin.com/in/stefan-faistenauer https://x.com/stefanfaistenauer
Nicolas Neudeck Founding Engineer. TUM MS in Computer Science, prior AI Engineer at BCG X with expertise in generative AI, AWS, and scalable ML systems https://de.linkedin.com/in/nicolasneudeck
Noel Schwarz Founder's Associate (GTM). TUM MS in Management & Technology, prior experience at Waterland Private Equity and Cipio Partners in growth equity https://de.linkedin.com/in/noel-schwarz-0906
  • Key Metrics Update:

    • Funding: Pre-seed round of $500K from Y Combinator (April 2025)
    • Employee Growth: Grew from 2 to 7 employees between founding and October 2025
  • News/Trends:

    • News Launch: Launched advanced integration and orchestration tools with automated schema mapping and drift detection in 2025
    • News Partnerships: Integrations with Slack, Salesforce, Crossbeam, Reveal, and other partner management platforms
    • News Funding: Raised $500K pre-seed from Y Combinator in April 2025
    • News Challenges: Competing in crowded API integration and workflow automation space

6. Target Audience & Use Cases

  • Target Market: B2B SaaS companies with 50+ employees and active partner/channel programs

  • Target Users & Personas: Partner managers, sales teams, account executives, channel partners

  • User Experience Level: Intermediate to advanced - requires some technical setup but designed for ease of use

  • Key Use Cases:

    • Automating co-selling workflows between internal sales teams and external channel partners
    • Orchestrating partner engagement with real-time notifications and personalized touchpoints
    • Integrating CRM and partner data platforms to normalize and transform data for consistent workflows

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Reduces manual coordination tasks, enables faster deal cycles, improves partner attribution and follow-up, scales partner operations without proportional headcount increase
    • ROI Examples: Reduced weekly time spent on recurring partner coordination tasks by 70%, enabled teams to land customers with personalized demos, improved sales motion foundation
  • Fit Assessment: Excellent fit for B2B SaaS companies with mature partner programs seeking to automate and scale co-selling operations

  • Custom Rec Flags:

    • Priority ICP: Mid-market to enterprise B2B SaaS companies ($10M-$100M+ ARR) with 50+ employees and active channel partner programs
    • Short Term Goals: Expand customer base, improve product-market fit, build out sales and GTM capabilities

8. Data Sourcing Notes

  • Other sources: Y Combinator company profile, GitHub repository, LinkedIn company page, official website

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