CISP1
CISP1 builds and operates the infrastructure layer that turns foundation models, proprietary data, and enterprise knowledge into reliable production AI systems. The platform connects models from providers like OpenAI, Anthropic, and Google to ERP, CRM, APIs, and legacy systems through eight integrated modular layers, including decision intelligence, agentic orchestration, and LGPD-compliant security. This enables Brazilian enterprises to move from isolated pilots to audited, scalable AI operations with full traceability and governance.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Companies with proprietary data and specialized domains often struggle to apply generic artificial intelligence solutions to their unique operational challenges. Off-the-shelf AI tools frequently fail to address complex, industry-specific problems, and many organizations remain stuck with isolated pilots, fragmented data, and disconnected systems that prevent AI from operating real business processes.
Solution
CISP1 develops and operates the infrastructure layer that transforms models, data, and knowledge into reliable production systems for enterprises. The CISP1 Enterprise AI Layer connects foundation models from providers like OpenAI, Anthropic, and Google—as well as open or specialized models—to ERP, CRM, data, APIs, and legacy systems. The platform integrates eight modular layers covering data and context, decision intelligence, agentic systems, AI runtime, model training and adaptation, security and compliance, AI operations and observability, and execution and integration. This approach lets businesses move from experimentation to audited, controlled, and scalable AI infrastructure with full traceability and governance.
Target Audience
Primary customers are enterprises with proprietary data and specialized domain knowledge that require custom AI solutions to address complex operational challenges and gain competitive advantage, particularly Brazilian companies navigating local regulatory requirements.
Features
- Data and context layer using RAG, vector databases, and curated knowledge to deliver traceable context for business-specific AI understanding
- Decision intelligence APIs delivering predictions, scores, and anomaly detection with probability, confidence, time horizon, and explanatory factors
- Agentic systems with orchestration, memory, and traceability, coordinating agents, people, and workflows within defined governance boundaries
- AI Runtime with model-agnostic routing that balances quality, cost, latency, and criticality across multiple providers
- Model training and adaptation via fine-tuning, versioning, and continuous evaluation tailored to company-specific domains
- Security layer with Portuguese-language NER, anonymization, pseudonymization, audit trails, and LGPD compliance embedded in the architecture
- AI Ops and observability tracking quality, cost, latency, drift, robustness, and security to guide evidence-based evolution
- Integration layer with APIs, connectors, and workflows that connect AI agents to existing ERP, CRM, and legacy systems