
inVerita has been committed to delivering integrated end-to-end business software solutions to provide excellence and value to multiple businesses all over Europe and the USA.
A telehealth solution designed for monitoring mental health conditions, offering native iOS and Android applications. The platform is enhanced by an AI-powered bot that boosts patient engagement and guarantees timely personalized care delivery.
By leveraging predictive analytics and data analytics, doctors can anticipate when a user will need support and immediately provide it.
The solution offers a touchless user interface that uses a camera to translate hand gestures into a mouse or controller, eliminating the need for physical contact.
This product is ideal for minimizing interaction with shared surfaces in highly sanitized environments or preventing screen smudges from dirty hands.
The development timeline depends on the complexity of the AI solution, the quality of available data, technology stack, and seamless integration with existing systems. A simple AI model, such as a chatbot or recommendation engine, may take 3-4 months to develop, while more advanced solutions like advanced analytics platforms or medical imaging AI can take 6-12+ months.
In our AI software development company, the process typically starts with defining industry requirements, collecting and preparing data, and developing a prototype (which can take a few weeks). After successful testing and validation, the AI model is fine-tuned, integrated, and deployed.
In industries like healthcare and finance, additional time is required for regulatory compliance and security testing.
AI security is critical, especially when dealing with sensitive data in industries like healthcare, finance, and legal services. AI software development services follow strict security protocols, including encryption, user authentication, and access control, to protect against potential threats. Additionally, compliance with regulations such as GDPR and HIPAA ensures that artificial intelligence-based solutions meet industry security standards.
It’s important to mention that AI security isn’t just about preventing data breaches, it's also about preventing model vulnerabilities, such as adversarial attacks where malicious inputs manipulate AI behavior. Continuous monitoring, regular security audits, and proactive threat detection help our AI software development company keep AI-powered applications secure over time.
Unlike traditional software, AI systems require continuous maintenance to remain effective. Over time, AI models may drift, meaning their accuracy decreases as real-world conditions change. To prevent this, custom solutions need regular retraining with new, relevant data.
Additionally, our app developers run performance monitoring to detect errors or biases that could impact making informed decisions. Security updates, compliance checks, and system upgrades are also necessary, especially for AI handling sensitive or regulated data.
Many companies choose to partner with an AI development agency for ongoing support, ensuring their artificial intelligence solutions stay accurate, secure, and aligned with evolving business needs.