You have the vision. We have the engineering. QuantPi.ai designs, builds, and deploys production-grade AI products — from first prototype to enterprise scale. No off-the-shelf templates. No outsourced code. Just senior AI engineers building exactly what your business needs.
Our battle-tested process eliminates the guesswork from AI product development.
Two-week deep dive into your business problem, data landscape, user needs, and technical constraints. We define the product vision, success metrics, and architecture blueprint.
Build a functional prototype in 3-4 weeks. Real data, real models, real user feedback. Not a slideshow — a working system you can test with actual users and stakeholders.
Harden the prototype into production-grade software. API design, scalability, security, monitoring, CI/CD pipelines, and MLOps infrastructure. Built to handle real-world traffic from day one.
Deploy to production with zero-downtime rollout. Post-launch monitoring, model retraining pipelines, performance optimization, and ongoing engineering support.
Frontend, backend, API layer, ML pipeline, data infrastructure — all built by one integrated team. No gaps between design and data science.
Models trained on your data for your specific use case. Not fine-tuned generics — purpose-built architectures optimized for your accuracy, latency, and cost targets.
Automated training pipelines, model versioning, A/B testing, drift detection, and auto-retraining. Your AI gets smarter over time without manual intervention.
SOC2-compliant infrastructure, VPC isolation, encryption at rest and in transit, RBAC, audit logging. Built for regulated industries from the ground up.
Real-time dashboards for model performance, user behavior, system health, and business KPIs. You always know exactly how your AI product is performing.
Post-launch engineering support, feature development, model optimization, and scaling. We do not disappear after deployment — we grow with you.
Fraud detection engines, credit scoring models, algorithmic trading systems, KYC automation, and regulatory reporting AI.
Clinical decision support, medical imaging AI, drug interaction checkers, patient risk stratification, and EHR intelligence.
AI-powered features for existing products — smart search, recommendations, content generation, predictive analytics, and workflow automation.
Personalization engines, demand forecasting, dynamic pricing, visual search, and conversational commerce.
Route optimization, demand planning, warehouse automation, predictive maintenance, and supplier risk scoring.
Quality inspection AI, predictive maintenance, production optimization, digital twins, and safety monitoring.
Costs depend on complexity. A typical AI MVP ranges from 40-60% less than US or European rates. We provide a detailed estimate after the discovery phase — no surprises.
Not always. We can work with public datasets, synthetic data, or data augmentation for the prototype phase. For production, your proprietary data is what creates competitive advantage.
We do this regularly. Many clients come to us with a working proof-of-concept that needs proper engineering — scalability, reliability, security, and MLOps. We take it from prototype to production.
You do. 100%. All code, models, data, and documentation are your intellectual property from day one. No vendor lock-in.
Python, PyTorch, TensorFlow, FastAPI, React, AWS, Azure, GCP, Kubernetes, MLflow, and more. We choose the right tools for each project — not a one-size-fits-all stack.
Absolutely. We integrate AI capabilities into existing applications — adding intelligence to search, recommendations, content generation, analytics, and automation workflows.
Book a free 30-minute discovery call. We will discuss your idea, assess feasibility, and outline a path to production.