Legal & Compliance
Website & Computational Disclaimer
Last updated: October 13, 2026. Important disclosures regarding the educational nature of our computational simulations, AI-generated outputs, and limitations of liability.
1. General Informational & Educational Purpose
The information, computational tools, interactive models, and technical documentation provided by RAWVI AI (https://rawvi.in) are intended exclusively for general educational, academic research, and illustrative visualization purposes.
All content on the Site is provided in good faith. However, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information, formulas, or interactive visual outputs on the Site.
2. Computational Simulations & Mathematical Approximations
RAWVI AI hosts 60 interactive computational modules (spanning deep learning, robotics, computer vision, physics, and advanced mathematics):
- Numerical Discretization: Simulations utilize client-side numerical solvers (such as Runge-Kutta 4, Verlet integration, stochastic sampling, and discrete time-stepping). While mathematically rigorous, they operate under physical approximations and finite float precision designed for browser real-time rendering at 60 FPS.
- Not for Safety-Critical Engineering: The visual simulations must not be used as substitute calculations for real-world life-critical engineering, aerospace flight control, autonomous vehicle deployment, structural bridge calculations, or medical dosing.
- Empirical vs. Theoretical Bounds: Monte Carlo algorithms and stochastic processes exhibit empirical sample variance that may deviate from asymptotic theoretical limits across finite iterations.
3. Artificial Intelligence & Generative Output
Certain tools, document summaries, or automated search indices across RAWVI AI utilize generative artificial intelligence and neural language models:
- AI algorithms generate probabilistic representations based on statistical training data. AI outputs may occasionally reflect outdated information, mathematical simplifications, or unexpected edge-case errors.
- Users are strongly advised to independently verify critical information, code snippets, or mathematical formulas against authoritative textbooks or academic peer-reviewed literature.
4. No Professional Advice (Medical, Legal, Financial)
The Site does not contain, and must not be construed as containing:
- Financial or Investment Advice: Algorithmic models simulating geometric Brownian motion, portfolio optimization, or Monte Carlo probability do not constitute securities recommendations, financial analysis, or trading advice.
- Medical or Clinical Advice: Demos illustrating neural image segmentation or Bayesian diagnostic filters are academic visual aids and must never be used for clinical triage, medical diagnosis, or patient healthcare decisions.
- Legal Advice: All regulatory, data governance, and privacy discussions are provided for informational awareness only and do not replace certified legal counsel.
5. External Links & Third-Party Publications
The Site may contain links to external third-party websites, academic repositories (such as arXiv, GitHub, or IEEE), or embed documents authored by third-party researchers. Such external links are provided solely for user convenience. RAWVI AI does not investigate, monitor, or endorse the accuracy or completeness of external third-party content.
6. Limitation of Liability
Under no circumstances shall RAWVI AI, its founders, engineers, or affiliates be liable for any direct, indirect, incidental, consequential, special, or exemplary damages arising from or in connection with your access to, use of, or inability to use the Site, interactive simulations, or hosted documents. Your reliance on any information on the Site is solely at your own risk.
7. Questions & Feedback
If you have any questions or concerns regarding this Disclaimer, please contact our team at rawviai@gmail.com.