Easy pricing. No hidden fees.
Lifetime access to Kurai AI & Backend Platform. Build production-ready intelligent systems with unlimited access to LLMs, ML pipelines, and enterprise infrastructure.
- 24/7 enterprise support
- Access to private AI models
- Full access to all LLM features
- Exclusive API rewards
- Early access to model upgrades
- Vector database storage
- Customizable ML pipelines
- Real-time analytics dashboards
- Private access to beta features
- Priority model training
- Cost optimization tools
- Secure authentication systems
- Automated monitoring & alerts
- CI/CD integration support
Empowering innovators, shaping the future
David Gutierrez
CTO at TechFlow AI
"The RAG system they built for us reduced our support tickets by 60%. Their expertise in LLM integration is unmatched."
Pierluigi Camomillo
VP Engineering at DataScale
"They migrated our monolith to microservices seamlessly. We saw a 40% cost reduction and significantly improved scalability."
Ella Svensson
Founder at MediSort Health
"Their ML-powered patient triage system transformed our operations. 70% faster triage with 94% accuracy—sim incredible results."
Alexa Rios
Chief Product Officer at ShopMax
"The recommendation engine they built increased our AOV by 32%. Highly recommended for any e-commerce business looking to leverage AI!"
Frequently Asked Questions
If you can't find what you're looking for, email our support team and if you're lucky someone will get back to you.
How do you ensure data security when processing with LLMs?
We implement enterprise-grade security with end-to-end encryption for all data in transit. Sensitive data is anonymized before sending to LLM providers, and we offer self-hosted models for clients with strict data residency requirements. All credentials are managed using AWS KMS or equivalent encryption standards.
What happens if an AI model produces incorrect results?
We implement comprehensive evaluation frameworks with human-in-the-loop validation. Our systems include confidence scoring, fallback mechanisms, and automatic alerts when quality drops below thresholds. We also maintain version control for prompt templates and model parameters for quick rollbacks.
Can I deploy AI models on my own infrastructure?
Yes, we support hybrid deployments where sensitive workloads run on your infrastructure (AWS/GCP/Azure) while non-sensitive operations use managed APIs. We provide Terraform templates and Kubernetes manifests for self-hosted deployments, ensuring you maintain full control over your data and compute resources.
Eager to become a partner?
Sign up here. Our team will promptly get in touch with you, providing an enablement pack tailored to your specific requirements.