LLMOps architecture
Model orchestration, prompt lifecycle, and continuous evaluation pipelines.
WE ARE LIVE NOW
Empowering researchers with Scholar.
AI Engineering for the Real World.
Sivora designs, integrates, and operates custom AI systems that transform operational complexity into measurable outcomes.
Technical capabilities built for execution
From LLMOps architecture to enterprise integrations, we deliver reliable AI systems designed for production, governance, and measurable impact.
Data pipelines
Reliable ingestion and transformation for real-time operational decisions.
Computer vision
Detection, classification, and traceability in visual business workflows.
Predictive systems
Forecasting and scoring models to anticipate risk, demand, and impact.
Operational MLOps
Deployment, monitoring, and versioning standards for production models.
LLMOps architecture
Model orchestration, prompt lifecycle, and continuous evaluation pipelines.
Data pipelines
Reliable ingestion and transformation for real-time operational decisions.
Computer vision
Detection, classification, and traceability in visual business workflows.
Predictive systems
Forecasting and scoring models to anticipate risk, demand, and impact.
Operational MLOps
Deployment, monitoring, and versioning standards for production models.
Enterprise RAG
Retrieval and response flows grounded on verifiable internal sources.
Applied generative AI
Document automation and domain-specific assistants for expert teams.
Legacy integration
Low-friction connectors for ERP, CRM, and core operational systems.
AI governance
Policy controls, decision audits, and safeguards for responsible AI.
Agentic workflows
Multi-agent execution patterns for complex task coordination.
Enterprise RAG
Retrieval and response flows grounded on verifiable internal sources.
Applied generative AI
Document automation and domain-specific assistants for expert teams.
Legacy integration
Low-friction connectors for ERP, CRM, and core operational systems.
AI governance
Policy controls, decision audits, and safeguards for responsible AI.
Agentic workflows
Multi-agent execution patterns for complex task coordination.
End-to-end observability
Metrics, traces, and events to keep AI systems reliable over time.
Decision automation
Rules and models that reduce latency in critical operations.
AI product design
UX patterns for trusted and usable intelligent interfaces.
A/B experimentation
Controlled testing to validate impact before broad rollout.
Cloud scalability
Resilient architectures for regional and global growth.
End-to-end observability
Metrics, traces, and events to keep AI systems reliable over time.
Decision automation
Rules and models that reduce latency in critical operations.
AI product design
UX patterns for trusted and usable intelligent interfaces.
A/B experimentation
Controlled testing to validate impact before broad rollout.
Cloud scalability
Resilient architectures for regional and global growth.
Scholar Beta
Sivora Scholar: AI for scientific decision-making
Turn scientific evidence into executive-ready decisions with speed, clarity, and traceability.
Launch in progress. Early access for selected teams.
Accelerated review cycles
Reduce technical analysis time while preserving methodological rigor.
Speed
Standardized quality
Align evaluation criteria across teams for consistent outcomes.
Rigor
Executive-ready output
Generate professional reports ready to present and act on.
Impact