Power your applications with cloud-native AI systems. From model training & deployment to MLOps pipelines and scalable inference, Zestminds helps you build & launch AI in production with AWS, Azure, or GCP.
From AI APIs to multi-tenant SaaS apps, we build cloud-native AI systems that are scalable, secure, and optimized for real-time performance across industries.
FastAPI, Lambda & GPU-backed AI services
We turn your ML models into secure cloud APIs, ready for real-time or batch inference at scale.
CI/CD pipelines, retraining, monitoring
Set up robust pipelines to train, deploy, and track your models like any software release process.
Custom no-code ML builders
Launch drag-and-drop AI tools using SageMaker, Vertex AI, or H2O.ai, perfect for non-tech teams.
Custom cloud platforms with usage billing
Build cloud-native AI software with isolated environments, dashboards, and pay-per-use billing logic.
Document AI for forms, contracts, and email
Extract, label, and summarize text at scale using OCR + NLP, deployed as cloud microservices.
Stream processing with Kafka, Kinesis, Spark
Run continuous inference on live events, user behavior, or sensor streams with real-time alerts.
Building an AI product on the cloud is more than just deployment, it’s about orchestrating scalability, data flow, performance, and cost-efficiency. Here’s how Zestminds delivers AI cloud solutions that are ready for production and built to last.
Built for AWS, Azure, and GCP from day one
Our AI systems are architected to scale seamlessly across cloud platforms, with secure APIs, event-driven pipelines, and cost-aware architecture that supports real-world usage.
CI/CD pipelines, monitoring, model versioning
We deliver AI apps like software products, with version control, automated testing, infra-as-code, and rollout strategies that support long-term maintainability.
HIPAA, SOC2, GDPR-compliant infra
Whether it’s a healthcare AI or enterprise LLM, we deploy within your VPC or private cloud, ensuring full control over data privacy, security, and compliance.
Stream processing, queues, API orchestration
From real-time fraud detection to async AI workflows, we build infrastructure that handles large volumes of data with low latency and high reliability.
Dockerized services with portability
All services we deliver, from vector search to LLM APIs, are containerized, modular, and ready to be migrated or scaled at will.
From architecture to ongoing ops
You don’t just get devs, you get a cloud partner who helps you design, build, test, secure, launch, and maintain your AI systems with one accountable team.
From healthcare to retail, our AI cloud setups have powered secure deployments, real-time data pipelines, and scalable ML systems. Here are a few highlights from our recent work.
AI Cloud adoption isn’t one-size-fits-all. Each industry brings its own challenges, compliance, speed, scalability, or real-time intelligence. At Zestminds, we bring cloud-native AI thinking to every domain we serve.
HIPAA-ready AI Cloud for sensitive data
We enabled a HIPAA-compliant cloud setup for a US hospital network using AI for diagnosis assistance and EHR automation, all within a secure, auditable pipeline.
Real-time risk scoring on scalable cloud
Zestminds helped an insurance platform migrate ML risk models to an AI cloud pipeline, enabling sub-second fraud detection across high-volume transactions.
Cloud-native LLM APIs & elastic scaling
For a B2B SaaS company, we implemented cloud-based AI copilots that scaled from 1k to 100k users without any performance drop, powered by serverless infra.
AI-driven personalization at cloud scale
We built real-time AI recommendation engines hosted on GPU-enabled cloud infra for a fashion brand, improving conversions by 38% across product categories.
AI Cloud for route optimization & fleet visibility
For a logistics firm, we deployed AI-powered route planners and ETA prediction models, all running on a low-latency cloud setup with real-time IoT input streams.
LLM APIs & smart grading tools on cloud
We partnered with an eLearning firm to launch AI tutors and automated quiz evaluators on a pay-as-you-go cloud setup, enabling global scale at minimal cost.
Real stories from teams we've partnered with.
“Great working with the Zestminds team always willing to take a call and answer questions. Also, they make really good suggestions when I want to make changes.”
“Zestminds is a wonderful team who hit deadlines and communicated frequently.I would highly recommend Zestminds for any mobile app or web development project.”
“My company is very grateful that we have hired Zestminds to redesign my website, their highly professional and qualified team takes care of every small thing sincerely and deliver on time. I will recommend Zestminds to everyone!”
“Zestminds delivers an excellent software development services. I have worked closely with them to successfully deliver a number of substantial projects for clients. Zestminds are experts at delivering web and mobile applications.”
We blend the power of cloud-native platforms, ML frameworks, and DevOps automation to deliver scalable, secure, and high-performance AI applications – optimized for your workload, data, and cost goals.
End-to-end ML model lifecycle on AWS
From model training to hosting and A/B testing, we leverage SageMaker for enterprise-grade ML pipelines and MLOps automation.
Custom ML with BigQuery & AutoML
We build and scale models using Google’s Vertex AI, integrated with Data Studio and BigQuery for deep analytics and insights.
AI + DevSecOps for enterprise teams
We deploy models using Azure Machine Learning with CI/CD pipelines, model registries, and secure enterprise cloud governance.
Open-source NLP & Vision models
We fine-tune open models for your domain and deploy them via Hugging Face Hub, Amazon JumpStart, or private endpoints.
Scalable containerized deployments
Our DevOps-ready ML apps are containerized with Docker and orchestrated via Kubernetes for resilience and autoscaling.
High-speed APIs for AI apps
We build blazing fast REST or gRPC services for model inference and data access using FastAPI and Python’s rich ML ecosystem.
Infra-as-code for reproducibility
We automate provisioning and scaling with Terraform and CloudFormation – ensuring secure, repeatable, and auditable cloud deployments.
Unified data + ML workflows
For data-heavy workloads, we integrate with Snowflake and Databricks to manage data lakes, feature stores, and ML pipelines at scale.
Let our experts help you choose the right AI tools, cloud frameworks, and infrastructure for your next scalable solution — based on your data, timeline, and business goals.
We respond within 12 hours. No fluff. No pressure. Just expert advice tailored to you.
Got questions about building on the cloud with AI? Here are the most common queries we get from CTOs, founders, and data teams deploying intelligent, scalable infrastructure.
Explore industry trends, expert analysis, and actionable strategies to drive success in AI, software development, and digital transformation.
