AI Platforms Platforms
These are the AI platforms we use to build chatbots, agents, content tools and automations for clients. Each page explains what the platform is good at, where it falls short and how we connect it to your existing systems.
AI Platforms Platforms
Choosing an AI platform is mostly a practical decision. Model quality matters, but so do pricing per request, data handling terms, where data is processed, how easily it connects to your CRM or helpdesk, and whether your team can maintain it. A model that tops benchmarks can still be the wrong choice if it is too slow or costly for your volume.
We are platform-neutral and pick based on the job. Large language models from OpenAI, Anthropic and Google cover most text and reasoning work. Open models make sense where data must stay on your own servers. Automation tools such as n8n or Make handle orchestration, and vector databases support search across your documents. Each platform page covers typical use cases, setup considerations and the integrations we usually build.
If you already have a preferred platform, we can work with it.
All AI platforms
Case studies & resources
Real-world results and practical reading to help you plan your next step.
Client stories
How similar work has played out for other businesses.
Helpful resources
Guides, tools and articles our team recommends on this topic.
Questions we often hear
Straight answers to the things clients ask us most. If yours isn’t here, just ask.
Which AI platform is best for business use?
Is our data safe when using AI platforms?
Can Nians combine several platforms in one engagement?
Do you work with businesses outside India?
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