Frequently Asked Questions

Agentic AI refers to AI systems that can reason, plan and take actions - using tools, APIs and data - to complete multi-step tasks with minimal human input, rather than simply answering a single question.

General AI tools are trained for broad knowledge. An industry-specific LLM is grounded in or fine-tuned on your domain data, terminology and rules, which makes it more accurate for your use cases, easier to control and deployable in your own secure environment.

We build solutions for healthcare, manufacturing, banking and finance, insurance, legal, education, retail, agriculture, logistics and cybersecurity. See our Industries page for details.

Yes. We integrate LLMs and agents into your current product through APIs, so you can add features such as smart search, assistants, summaries and automation without rebuilding from scratch.

Cost depends on the scope, data readiness, number of integrations and deployment requirements. After a short discovery phase we provide a fixed, itemised estimate, and many clients begin with a smaller pilot to validate value before committing to a full build.

A pilot or proof of concept typically takes 3-6 weeks. A production-ready solution usually takes 2-4 months, depending on complexity, integrations and data preparation.

Yes. Our Pilot engagement validates the idea on your own data with a working prototype, a feasibility and value assessment, and a roadmap to production.

We work in three stages that you can start at any point: Pilot to validate an idea, Build for a secure production-ready solution, and Scale for ongoing monitoring, improvement and support.

No. Data you share with us is never used to train models for any other client without your explicit written permission.

Yes. We regularly deploy using open-source models inside a client's private cloud (AWS, Azure or Google Cloud) or on-premise infrastructure, so sensitive data never leaves your control.

Yes. We are happy to sign an NDA before you share any confidential information about your business or data.

We design solutions with data minimisation, role-based access, audit logs and explainability, and align them with applicable requirements such as India's Digital Personal Data Protection Act, 2023, GDPR and sector-specific guidelines.

We ground responses in your verified data using retrieval-augmented generation (RAG), show source citations, apply guardrails and validation rules, run systematic evaluations before release and add human review for high-stakes decisions.

Yes. Our agents connect to CRMs, ERPs, databases, document stores, email, Slack or Microsoft Teams and any system that offers an API.

Not necessarily. Knowledge assistants can work with your existing documents from day one. Fine-tuning a model requires more curated data, and we will help you assess what you have and what is needed.

Yes. Our Scale engagement covers monitoring, performance tuning, model and prompt updates, and ongoing support as your needs grow.

Yes. Every project includes documentation and a structured handover, and we offer training sessions for end users and technical teams.

We agree on measurable success criteria at the start - for example time saved, accuracy, response time or cost per task - and report against them throughout the project.

Use our contact form, email info@neuraltrixai.com, call +91 8142438759 or message us on WhatsApp.