Design, build, and ship your
new product
Transforming IT, One Step at a Time
Every business is unique, and so are our solutions. Here’s how we tailor
our expertise to your needs
We work closely with you to understand your goals and create a plan to achieve them together our findings, we craft a comprehensive IT plan. This involves designing systems, networks, and software that align with your business goals.
We go deep on your users’ needs, design the UI/UX of the product, and create a roadmap for development.
Our experienced engineering team will bring your product to life using a modern, maintainable tech stack.
We deploy your product and iterate based on feedback from your team or your customers.
We'll launch
your new product.
Decades building in early-stage and growth environments
We embed ourselves with your team and mission. We do what it takes to help you reach your next milestone.
A track record of scaling startups. Our battle-tested product & engineering culture has grounded us for 10+ years of building.
Talent, vetted and globally sourced. We’ve traveled far and wide to find & hire the best engineers to bring your vision to life.
Got any
Questions?
Kriva Studio designs, builds, and deploys production-ready AI solutions tailored to your business needs. Whether you require custom machine learning models for predictive analytics, computer vision pipelines for automated image processing, or large-language-model integrations such as retrieval-augmented generation (RAG), embeddings, and fine-tuning, our team has the expertise to deliver reliable, scalable, and secure AI systems that drive real results.
We begin with a thorough assessment of your data quality, volume, and labeling requirements to ensure a solid foundation. Next, we develop proof-of-concepts—choosing between classical ML algorithms, deep neural networks, or large-language models based on what suits your use case best. Once validated, we package the model into containerized microservices (Docker/Kubernetes) with auto-scaling inference endpoints, then seamlessly embed these services into your application via React/Next.js front-end hooks or Python/Node.js back-end connectors. The result is a smooth, low-friction integration that enhances your product without disruption.
Our team is adept at crafting a wide array of intelligent features. This includes natural language understanding applications such as chatbots, semantic search engines, and automated summarizers; computer vision solutions like document OCR, image classification, and object detection; predictive analytics for demand forecasting, anomaly detection, and personalized recommendation engines; RAG-based knowledge agents that deliver context-aware FAQs, support bots, and research assistants; and end-to-end automation workflows that leverage AI-driven RPA, data extraction, and intelligent task routing.
We adopt robust validation practices—including train/test splits, cross-validation, and A/B testing—to verify model performance. Real-time monitoring and drift detection ensure your models maintain accuracy over time, while bias and fairness audits evaluate for unintended disparities and enhance explainability. All data is handled in encrypted pipelines with strict role-based access controls, and deployments can be hosted on-premises or within secure VPC environments. Together, these measures safeguard both the technical integrity and ethical compliance of your AI solutions.
Our engagements usually begin with a 2–4 week Discovery Sprint to align on business goals, gather datasets, and build a baseline model. This is followed by a 4–8 week MVP Build phase in which we deliver a production-grade inference API complete with CI/CD pipelines for continuous retraining. Finally, we support your AI in operations with Service Level Objectives (SLO)-driven monitoring, periodic retraining schedules, and ongoing feature enhancements to ensure long-term success.