Responsible AI, by design

CapitalxAI employs a multi-layered content governance framework to ensure that every piece of AI-generated content meets our quality and safety standards:

• Pre-generation filtering — Input prompts and data are screened to prevent the creation of harmful, inappropriate, or non-compliant content.
• Real-time content analysis — AI outputs are evaluated in real time for tone, accuracy, professionalism, and regulatory compliance before being presented to the user.
• Human review layer — All outreach messages require explicit user approval before being sent. Founders have full editing capabilities over every communication.
• Continuous model monitoring — We track AI performance metrics including hallucination rates, content quality scores, and user feedback to continuously improve safety.

To maintain trust across our ecosystem, the following are strictly prohibited on the CapitalxAI platform:

• False or misleading claims — Fabricating company metrics, financial data, traction, or team credentials in investor communications.
• Spam and unsolicited bulk outreach — Mass messaging investors without personalization or relevance. Our system enforces intelligent rate limits and targeting standards.
• Impersonation — Misrepresenting your identity, role, or affiliation with any organization.
• Harassment or abusive content — Threatening, discriminatory, or hostile language directed at any individual or group.
• Securities fraud or regulatory violations — Content that violates securities laws, makes unauthorized investment solicitations, or constitutes market manipulation.
• Unauthorized data scraping — Attempting to extract, scrape, or misuse investor data beyond the platform's intended functionality.

Violations may result in account suspension, permanent ban, and, where required, referral to relevant authorities.

Accurate data is foundational to responsible AI-powered fundraising. We uphold strict data quality standards:

• Verified investor data — Our investor database is sourced from reputable, licensed, and publicly available data sources. Records are regularly validated and refreshed.
• AI hallucination safeguards — We use grounded generation techniques to minimize fabricated information, and all AI outputs cite their data sources where applicable.
• Data freshness — Investor profiles, contact details, and portfolio information are continuously updated to ensure accuracy at the point of outreach.
• Error correction — Users and investors can report inaccuracies, which are investigated and corrected through our data quality pipeline.

CapitalxAI is designed to facilitate meaningful, compliant investor outreach — not spam. Our compliance measures include:

• Smart rate limiting — Automated controls prevent excessive outreach volume and ensure each communication is properly spaced and targeted.
• CAN-SPAM and GDPR compliance — All outreach includes proper identification, opt-out mechanisms, and honors unsubscribe requests in accordance with applicable regulations.
• Opt-out management — Investors who opt out of communications are immediately and permanently suppressed from future outreach by that sender.
• Domain and sender reputation — We monitor sender reputation scores and provide guidance to maintain healthy email deliverability.
• Compliance training — Our platform provides guidance and guardrails to help founders understand and follow best practices for professional investor communication.

When our AI recommends investors, generates pitch content, or suggests outreach strategies, we believe in full transparency:

• Explainable matching — Investor recommendations include reasoning for why a particular investor was suggested, based on sector alignment, stage fit, and portfolio analysis.
• No hidden agendas — Our recommendation engine does not prioritize investors based on commercial relationships. Recommendations are driven entirely by relevance to the founder's profile.
• Content attribution — AI-generated sections of outreach are clearly distinguishable, and founders always know what has been generated versus what they wrote.
• Model limitations disclosure — We proactively communicate the limitations of our AI models and encourage users to apply their own expertise and judgment.

We take violations of our content safety policies seriously. Our enforcement process is designed to be swift, fair, and transparent:

Content safety is not a checkbox — it's a continuous commitment. As AI capabilities evolve, so do our safety practices. We are dedicated to:

• Regularly auditing our AI systems for bias, accuracy, and safety
• Engaging with industry bodies and regulatory frameworks on AI governance
• Publishing transparency reports on content safety metrics
• Listening to feedback from our community of founders and investors
• Updating this policy as our technology and understanding evolve