Responsible AI is Non-Negotiable
EquiViral builds AI Operating Systems that are powerful, effective, and ethical. These are the principles we will never compromise on.
Our Core Principles
Transparency
We tell users when they are interacting with AI. Every EquiViral AI OS clearly identifies itself as AI-powered. We document the AI systems used in every deployment.
Privacy by Design
Data minimisation is built into every AI OS we create. We collect only what is necessary, store it securely, and delete it when no longer needed. GDPR and NDPR compliance is non-negotiable.
Human Oversight
AI OS systems at EquiViral are decision-support tools, not autonomous decision-makers. Every significant action — from lead scoring to financial reporting — can be reviewed and overridden by a human.
Bias Awareness
We actively monitor our AI models for bias in qualification scoring, recommendations, and outputs. We test across demographic and geographic variables to ensure fairness.
What We Will Never Do
We do not build AI systems designed to deceive, manipulate, or harm users.
We do not build surveillance systems or tools that could be used for illegal monitoring.
We do not deploy AI in high-stakes safety-critical applications without appropriate safeguards.
We conduct regular audits of AI outputs for accuracy, bias, and compliance.
We maintain human review processes for all AI-generated decisions that affect individuals.
We are transparent with clients about the AI models we use and their limitations.
We will not sell client data to train AI models without explicit written consent.
We report significant AI failures or unexpected behaviours to affected clients promptly.
AI Models We Use
Anthropic Claude (Sonnet & Opus)
Used for: Lead qualification, AI OS Blueprint generation, AI sales agent, automated insight generation
Anthropic's Constitutional AI approach — safety and helpfulness built into the model architecture.
OpenAI GPT-4o
Used for: Document analysis, structured data extraction, multi-modal processing for client onboarding
Used selectively for specific tasks where multi-modal capability is required.
Google Gemini Pro
Used for: Long-context document processing, multi-language support for Nigerian and UK market content
Google's responsible AI framework governs usage; data not used for model training.
Meta Llama 3 (Self-hosted)
Used for: On-premises inference for sensitive industrial clients requiring data residency
Fully self-hosted — zero data leaves client infrastructure for approved deployments.
Mistral AI
Used for: Lightweight classification, routing, and summarisation tasks inside automation workflows
European-based AI with GDPR-compliant data processing for UK and EU clients.
Cohere Embed / Command
Used for: Semantic search, knowledge base retrieval, and RAG pipelines inside AI OS deployments
Used for retrieval-augmented generation in Operations OS and Intelligence OS modules.
Custom n8n Workflows
Used for: Business process automation, workflow routing, multi-system orchestration
Open-source, self-hosted — your data never leaves our infrastructure.
PostgreSQL + pgvector
Used for: Lead data storage, conversation history, vector embeddings, analytics
Self-hosted on dedicated infrastructure. No third-party data sharing.
Google Calendar API
Used for: Meeting scheduling and calendar integration
Used only with explicit user authorisation via OAuth.
WhatsApp Business API
Used for: Automated client notifications, appointment reminders, lead follow-up sequences
Message templates approved by Meta; no unsolicited messaging.
Report an AI Concern
If you believe an EquiViral AI system has behaved unethically, caused harm, or violated these principles, please report it. We take every report seriously.
Report a Concern