This Code of Ethics (hereafter “the Code”) outlines the ethical principles and standards that guide the actions of BSPEC INC, operating the D3Prospect predictive intelligence platform, and all its employees. It communicates to all stakeholders the ethical, secure, and responsible behavior BSPEC INC upholds in its operations, as well as the conduct expected from its partners and API consumers.
The standards outlined in this Code are mandatory for all BSPEC INC employees. The company takes proactive measures to ensure compliance, demonstrating its commitment to lawful, ethical, and transparent business practices. BSPEC INC conducts its business with integrity, adhering to both the letter and spirit of global data laws, as well as established AI and software engineering standards.
Integrity
Upholding ethical standards and transparency in all business and engineering activities, prioritizing what is legally and morally right over short-term technical or personal advantage.
Honesty
Maintaining candor and clarity when sharing information, system limitations, and procedures. A culture of truth enables employees to address infrastructure challenges openly, fostering strong internal and customer relationships.
Respect
Valuing every individual—employee, API client, data subject, or stakeholder—regardless of their background, role, or opinions. Respect involves appreciating each person’s unique contributions toward achieving our organizational goals.
Trust
Building positive relationships through honesty, mutual respect, and psychological safety. Trust fosters a secure and engaging work environment, enhancing employee retention and technical excellence.
Openness
Promoting an atmosphere where ideas, architectural improvements, and information can be shared freely without fear of judgment. This environment encourages rapid innovation and engineering creativity.
Diversity
Recognizing and respecting diverse backgrounds, skills, and perspectives. Commitment to diversity ensures equal opportunities for everyone and embraces different work styles and learning approaches.
Responsibility
Demonstrating accountability by taking ownership of one’s code, actions, and decisions while considering their implications on our global data ecosystem.
Fair Treatment of Employees
Respect for human rights: We affirm our adherence to democratic principles and commit to upholding rights established under international legal frameworks, including the United Nations Guiding Principles on Business and Human Rights (UNGP). We prioritize fairness, mutual respect, and the protection of individual dignity in all aspects of our operations.
Commitment to non-discrimination: We actively promote diversity within our workforce and stand firmly against all forms of discrimination. Harassment, violence, humiliation, and bullying are strictly prohibited and will not be tolerated under any circumstances.
Equal employment and fair compensation: We ensure that equal employment opportunities and working conditions are provided to all employees. We guarantee fair compensation based on job functions, work quality, and professional skills, applying consistent criteria when evaluating employee performance.
Commitment to Health and Safety
BSPEC INC prioritizes a safe working environment by implementing modern safety practices, supporting mental health, and ensuring all employees are well-trained. Unsafe or inappropriate behavior, including substance abuse, is strictly prohibited.
Personal Data Protection & AI Governance
BSPEC INC handles professional data responsibly, adhering to stringent legal requirements (such as GDPR and CCPA/CPRA) regarding Automated Decision-Making Technology (ADMT). We maintain robust internal procedures, such as our Cryptographic Suppression architecture and verified Privacy Portal, to protect individuals’ right to opt-out. Employees are trained to protect data and ensure continuous compliance with evolving privacy standards.
Responsible OSINT Ingestion and Prediction
Unlike traditional data brokers, D3Prospect operates a probabilistic machine learning engine. Our data ingestion is strictly limited to explicitly publicly available technographic and professional sources. BSPEC INC rigorously ensures the ethical handling of this data and strictly prohibits the ingestion or processing of Sensitive Personal Information (SPI) such as health, race, or religious data to train our AI models.
Confidential Information Protection
Confidential information—including our proprietary architectures, algorithmic weights, and the proprietary CSV lists uploaded by our Web App users—is safeguarded rigorously. Employees are trained to recognize and protect sensitive intellectual property and client data.
Avoidance of Conflicts of Interest
Employees must avoid activities that conflict with BSPEC INC’s interests and report any potential conflicts transparently.
Zero Tolerance for Corruption
BSPEC INC has a strict zero-tolerance policy for corruption. Employees are prohibited from offering or accepting bribes, gifts, or incentives that could influence decision-making or vendor selection.
Commitment to Information Security
BSPEC INC integrates robust, enterprise-grade security measures (including AES-256 encryption and Cloudflare Edge-Network protections) to protect sensitive information and prevent cyber threats. Employees are trained to follow security protocols diligently and practice secure coding standards.
Partner and Vendor Selection
BSPEC INC collaborates only with infrastructure partners, server hosts, and API vendors who align with our core values and ethical standards. Partners must operate legally, transparently, and securely, without utilizing BSPEC INC’s network payloads for unauthorized AI training.
Commitment to Fair Competition
The company adheres to laws promoting fair competition, avoiding unethical practices like price fixing, collusion, or information manipulation in the B2B data sector.
Commitment to Exceptional Customer Relationships
BSPEC INC prioritizes customer success by fostering transparent, highly technical, and professional interactions. Feedback regarding API latency, data accuracy, and user experience is actively sought and promptly addressed.
Commitment to Transparency and Regulatory Compliance
BSPEC INC ensures timely and accurate reporting to regulatory authorities and cooperates fully with data privacy inspections. Any systemic discrepancies are promptly resolved to prevent recurrence.
Commitment to Shareholder Value Creation
The company strives to create long-term value for shareholders through highly scalable, sustainable SaaS business practices and transparent financial reporting.
Dedication to Sustainability and Environmental Responsibility
Running intensive PostgreSQL databases and Machine Learning inference at scale requires significant energy. BSPEC INC is committed to sustainable computing, employing energy-efficient server infrastructure and partnering with data centers that prioritize renewable energy and minimal environmental impact.
All employees bear responsibility for adhering to the provisions of this Code. If there is a belief that anyone within the business line is violating the law or this Code, it must be reported to the designated responsible person, communicated proactively through our designated communication channels, or via email at [email protected].
Individuals who report violations in good faith are afforded strict protection. Reporting a suspected violation of the Code will not lead to negative consequences or retaliation for the employee. Each report is treated seriously, fairly, and is processed promptly. If the analysis of the situation indicates a need, appropriate corrective and infrastructural action will be implemented immediately.
