At NeuralNext, we don't just play in the realm of Generative AI – we thrive in it! We infuse intelligence into applications, catapulting them to an incomparable level of smartness. Our mission, however noble, simple as it is: To enrich our clients' experiences.
[Trustworthy & Responsible] We’ve rooted our intelligent AI applications firmly within the matrices of responsibility and trust. It’s not just about navigating the AI tidal wave with finesse, it's about doing it right – ethically and professionally.
Fairness
We help build AI systems that treat people fairly with over 50 key checks and balances.
Reliability and safety
AI systems should perform reliably and safely. We help build with rigorous monitoring, tracking.
Privacy and security
AI systems should be secure and respect privacy.Our choice of platforms provides measures to protect data.
Inclusiveness
AI systems should empower and engage everyone. Model development must address potential barriers.
Transparency
AI systems should be understandable. This requires communication about systems limitations and characteristics.
Accountability
People Involved in design and deployment are accountable for AI system's actions and decisions.
Outpace competition and delight customers with next-gen AI apps
Put your data to work with AI create unique differentiation build your own copilots
40%
decrease in customer support requestsRapidly deliver new products that deepen customer engagement
Beat competitors so market increase user growth & satisfaction capture incremental revenue
1.5
monthsAmplify employee capabilities and empower developers to innovate
Accelerate developer productivity attract the best developer talent reduce repetitive, costly work
25%
Scale your business and reduce risk with future-ready technology
Streamline IT operations consolidate redundant systems improve security posture
25%
Responsible AI in Healthcare
Using AI, we provide services via Bots/Apps to healthcare providers which can predict patient deterioration, enable early intervention, and determine personalized treatment plans. The models are fine tuned with enough RLHF or Human feedback to be responsible and trustworthy to ensure patients’ health and privacy are protected.
Trustworthy AI in Finance
We can help financial institutions use AI to automate detection of fraud, provide customer service, assess creditworthiness, etc. The AI-driven decisions need to be explainable, accountable, and de-biased to ensure compliance and transparency, enhancing customer trust.
Responsible AI in Manufacturing
Our framework can help in preventive maintenance, quality control, and supply chain optimization. If an AI model for predictive maintenance is not reliable, it could lead to equipment breakdown and unexpected downtime, impacting the production line. NeuralNext’s responsible AI framework would help ensure the model is accurate, transparent, and accountable, saving the company from such losses and maintaining operational efficiency.
Trustworthy AI in Retail
AI can optimize inventory, predict sales, personalize customer experiences in the retail industry. For example, a biased AI model might prefer a particular customer segment leading to wrong sales prediction, overstocking, understocking, or even customer alienation. To avoid such problems, our responsible AI solution will ensure that such applications are fair, transparent, and reliable.
Responsible AI in Transportation
AI can be used to improve routing and scheduling, predict vehicle breakdowns, enhance safety. If an AI system is not correctly predicting vehicle breakdown, it could lead to unnecessary checks, missed checkups, or accidents. Through responsible AI, such applications would be transparent, robust, and reliable, improving safety and efficiency.
Responsible AI in Customer Service
AI chatbots and virtual assistants are growing in popularity across various industries. These tools can help businesses deliver 24/7 customer service and reduce operational costs. Still, they must also be responsible and trustworthy. For example, a chatbot that provides incorrect or inappropriate responses could lead to customer dissatisfaction and harm the company's reputation. Our responsible and trustworthy AI framework could help ensure that the chatbot is free from bias and is trained on relevant data.
Trustworthy AI in Marketing and Advertising
AI is used in marketing and advertising to better target customers, optimize ad spend, and increase conversion rates. However, unfair or discriminatory targeting practices could lead to lack of customer trust and potential legal issues. Our responsible AI framework could help verify that marketing and advertising algorithms are fair, transparent, and accountable.
Responsible AI in Human Resources
Companies use AI in recruitment and hiring procedures to screen applicants and predict job-fit. If a recruitment tool prefers candidates of a certain age, gender, or ethnicity, it could lead to discriminatory hiring practices. Implementing a responsible AI solution will ensure these tools are not biased or discriminatory.
Trustworthy AI in Cybersecurity
AI can help detect and respond to cyber threats. However, AI can also be manipulated by malicious actors. Our responsible AI framework can ensure that the system is reliable, transparent, and adaptable to evolving threats.
Responsible AI in Energy and Utilities
AI can help improve grid management, energy generation prediction and facilitate maintenance. An unreliable AI model could lead to immense losses due to inaccurate predictions or maintenance scheduling. Our responsible AI framework will ensure these applications are reliable, efficient, and beneficial to the overall system.
Responsible AI in Insurance
AI can help in claim processing, underwriting, and fraud detection in the insurance industry. But if the AI model is biased or unreliable, it might lead to wrongful claim rejections or approving fraudulent claims. Our responsible AI solution can ensure these systems are accurate, fair, and trustworthy.
Trustworthy AI in Supply Chain
AI in the supply chain can optimize logistics, improve supplier selection, and enhance demand forecasting. An AI system with biased or inaccurate results could have serious implications such as overstocking, poor supplier selection, or delivery delays . Our responsible AI framework can ensure these AI applications are robust, reliable, and transparent.
AI can assist in legal research, contract analysis, and prediction of judicial decisions. However, a biased or non-transparent AI system can lead to wrongful predictions or interpretations, possibly affecting a legal case's outcome. Our responsible AI solution can ensure that these tools are unbiased, reliable, and transparent.