Free your team from repetitive questions.
Let AI handle them.
A branded AI assistant on your site in days. Trained on your content and resources.
How it works
From website knowledge to live
assistants in four steps.
Train on your content
Point NeevAI at your website and upload your docs. It builds a knowledge base from the content your customers and team already rely on.
Launch
Deploy a branded assistant on your site so visitors get answers, submit lead details, and move through the conversation without waiting on your team.
Connect
When you need more than RAG, connect CRMs, messaging services, internal or external APIs, and MCP-compatible tools through agentic workflows.
Operate
Use the admin portal to review conversations, inspect lead capture, and monitor conversation scores and intent signals over time.
Why NeevAI
While everyone else sells you a Transformation, we ship you an assistant next week.
Most AI vendors pitch a six-month roadmap. Most teams need a working assistant by Friday. NeevAI is built for the Friday answer.
Ship Monday, not next quarter
Your assistant is live on your site in days, not months. Most teams see their first real conversations within the first week.
Grounded in your real content
Trained on your actual website, documents, and knowledge base so answers come from your voice and your facts.
Grows with your stack
Start with a branded website assistant. Add CRM connections, APIs, messaging tools, and agentic workflows when the use case demands it. No rebuild required.
Built for the people who run it
Every conversation, every lead, every intent signal in one admin portal. Your team stays in control, and you can prove ROI by the end of week one.
Architecture
What clients actually get
A layered product that can start lightweight and grow more capable over time.
Knowledge Foundation
Website pages, documents, and other business content become the assistant's baseline context and answer source.
Agentic Tool Layer
When you are ready, connect internal or external APIs, CRMs, messaging services, and MCP-compatible tools through controlled assistant workflows.
Platform Controls
NeevAI organizes assistant behavior, tool access, and extensibility so the product can evolve with your operational needs and existing systems.
Assistant Experience
Customers or internal users interact with a branded assistant, while your team monitors conversations, leads, and quality from the admin portal.
The technical layer matters, but the buyer value is straightforward: faster answers, better lead capture, and a cleaner path from website assistant to integrated workflows across the systems you already use.
Who we work with
Built for high-question, high-repeat environments.
Work with us
Three ways to work with NeevAI.
Product first, workflows and integrations where they add value, and consulting as a support layer for more custom rollouts.
NeevAI Platform
Website assistant and knowledge-base layer.
Launch a branded assistant trained on your website and documents. Capture leads, answer repetitive questions, and review every conversation in one admin portal.
Agentic Workflows
Integrations, tools, and live actions where they fit.
Extend the core assistant with agentic workflows that connect internal or external APIs, CRMs, messaging services, and MCP-compatible tools when the use case calls for it.
NeevAI Lighthouse
Implementation support when needed.
Use consulting for rollout planning, custom integration work, and projects where your team wants a more guided path into production.
Typical NeevAI Outcome
Teams usually come to us because their website is doing too little and their staff is answering too many repetitive questions. The fastest win is a better assistant grounded in real company content. The next win is adding actions through APIs so the assistant can actually help move work forward.
NeevAI Engagement Model
Website assistant first, workflows and integrations where needed
Time to launch a useful assistant
Visibility into buyer and support intent
Capability once API actions are added
We position NeevAI for real production use, but we only promise what can be supported by the final deployment and client configuration.
Put a stronger assistant in front of the
questions your team already gets.
Start with your website and knowledge base. Add workflows, integrations, and live actions as your use case grows.
Most teams are live in under two weeks.