AI & ML Development Services

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At Ozrit, we start by auditing your current architecture and data sources. Then we design custom ML models or leverage pre-trained APIs, build data pipelines, and wrap everything in REST/GraphQL endpoints. Finally, we integrate these endpoints into your application—whether it’s a web UI, mobile app, or backend service—so that AI features feel like a seamless part of your workflow.

Costs vary based on project complexity, data size, and model sophistication. We’ll give you a detailed estimate after a free scoping call.

Figuring out how long it takes to develop an AI/ML solution depends on various factors like the development platform, the complexity of the design, the experience level of the team, and the extent of testing required. Typically, a proof-of-concept can be delivered in 6–8 weeks. Building a production-ready MVP usually takes 3–4 months, and a fully scaled deployment with monitoring and maintenance often spans 4–6 months. Reach out to us with your project details to get a more precise timeline tailored to your needs.

Successful AI/ML projects begin with clean, well-structured data. For supervised learning tasks, you’ll generally need at least 1,000–5,000 labeled records per use case, while more complex deep-learning models may require tens or hundreds of thousands of examples. Data should ideally be provided in CSV or JSON formats, with clear definitions of each feature. If your data needs cleansing, enrichment, or annotation, Ozrit’s data-engineering team can handle the heavy lifting so you can focus on your business goals.

Yes—you can engage our AI/ML specialists in whichever model works best for you. Whether you need a single hour of expert troubleshooting, a fixed-price engagement for an end-to-end solution, or a dedicated team embedded in your organization, we offer flexible staffing options. Simply let us know your preferred arrangement, and we’ll align our resources and contracts to match your project scope and timeline.

At Ozrit, we take data protection very seriously. All sensitive information is encrypted both at rest and in transit, and we enforce strict role-based access controls so only authorized personnel can view or modify your data. We also adhere to international standards such as GDPR and ISO 27001—and are happy to sign your preferred NDA or security addenda. Throughout the project lifecycle, regular security audits and code reviews help ensure that your data remains safe and compliant.

Delivering your AI/ML solution is just the beginning. Ozrit’s support package includes 24×7 automated monitoring to detect performance drift or data anomalies, regular retraining schedules to keep your models accurate, and SLA-backed maintenance to address any issues that arise. We also provide user training sessions and detailed documentation, so your team can fully leverage the new intelligent features. Our goal is to keep your solution running smoothly long after launch.