Pricing Plans
Our Packages
Choose the right level for your AI software project
Flexible Pricing
Select the plan that aligns with your development needs and team size. Scale your AI initiatives with clarity and control.
Starter Package
- Integration with standard APIs
- Model training with default parameters
- Basic monitoring dashboard
- Access to community forum
- Email support
Professional Plan
- All Basic features
- Customizable model configurations
- Performance analytics and reporting
- Priority email support
- Monthly strategy consultations
Enterprise Plan
- All Professional features
- Dedicated account manager
- On-site deployment assistance
- 24/7 phone and chat support
- Tailored SLAs and compliance
Streamlined Integration
Connect Your Data Seamlessly
Velorae’s AI software development platform is built to integrate smoothly with existing data environments. Our API-driven approach allows teams to connect multiple data sources, whether on-premises databases, cloud data lakes or real-time streams. With customizable connectors and extensible adapters, you gain full control over ingestion and preprocessing steps. Scalability is automatic, ensuring that as your data volume grows, pipelines remain efficient and maintain high throughput. This streamlined integration helps teams accelerate prototyping and maintain consistency across development and production environments. In 2025, new collaboration features further simplify data schema mapping and version tracking, reducing manual overhead and easing deployment to staging or live environments.
Robust Development Lifecycle
From initial concept sketching to final deployment, Velorae supports every stage of the AI development lifecycle with tools designed for clarity and efficiency. Team members can use our integrated prototyping environment to assemble model architectures using a visual interface, then move smoothly to code-driven testing frameworks for validation under real-world scenarios. Built-in version control tracks changes to datasets, feature pipelines and model code, ensuring full traceability. Automated testing routines generate performance reports and highlight regressions before they affect production. Velorae’s centralized dashboard unifies logs, metrics and environment snapshots, offering comprehensive insight at a glance, making iterative improvements straightforward and aligning with project milestones.
Learn about LifecycleStreamlined Integration
Achieving optimal AI model performance requires continuous monitoring, resource management and fine-tuning. Velorae provides intelligent auto-scaling capabilities that adjust compute resources based on workload demands, ensuring models run efficiently without manual intervention. Real-time analytics dashboards display inference latency, throughput and error rates, enabling rapid identification of bottlenecks. Our optimization toolkit includes automated hyperparameter sweeps, quantization routines and GPU acceleration libraries that deliver consistent performance gains. Custom alerting rules can be configured to notify stakeholders when thresholds are approached, driving proactive adjustments before issues arise and helping teams sustain high service levels as needs evolve.
Learn about LifecycleEnterprise-Grade Security
At Velorae, data security and regulatory compliance are foundational elements of our platform design. All data in transit is encrypted using industry-standard TLS protocols, while sensitive artifacts at rest can be secured with AES-256 encryption keys managed through integrated key management services. Role-based access controls enforce granular permissions at project, dataset and model levels, ensuring team members see only what they need. Comprehensive audit logs record every action, from code commits to deployment events, enabling forensic analysis and traceability. Additional privacy features include anonymization pipelines and configurable data retention policies that align with regional requirements. With secure collaboration workspaces and continuous compliance updates, teams can operate with confidence in their AI initiatives.
Learn about Lifecycle