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You will get a RAG-powered AI assistant trained on your docs and CRM data

Avinash Y.Status: Offline
Avinash Y. Avinash Y.
Preview image

Let a pro handle the details

Buy Generative AI services from Avinash, priced and ready to go.
Avinash Y.Status: Offline
Avinash Y. Avinash Y.
Preview image

Let a pro handle the details

Buy Generative AI services from Avinash, priced and ready to go.

Project details

Most AI chatbots are disconnected from your actual business data — they hallucinate, give generic answers, and frustrate users.

We build RAG-powered Knowledge Assistants that are trained directly on your documents, CRM, databases, and internal tools — so your AI actually knows your business.

At Cogniq AI, we've deployed these systems for SMBs across the US, UK, and Europe — cutting support workloads by 65% and delivering answers in under 3 seconds.

What you get:
→ AI trained on your real data (PDFs, CRM, Drive, DB)
→ Accurate, source-cited answers — no hallucinations
→ Deployed to your website, app, or internal tool
→ Full source code + documentation handed off to you

We handle everything end-to-end — ingestion, embedding, LLM tuning, deployment. You get a working system, not a prototype.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Text-to-Speech, Conversational AI, Image Recognition, Natural Language Generation, Natural Language Understanding, Text Recognition
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, Replit, Streamlit
AI Models
ChatGPT, DALL-E, GPT-4, OpenAI Codex, Whisper
What's included
Service Tiers Starter
$399
Standard
$699
Advanced
$1,299
Delivery Time 3 days 5 days 8 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
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Source Code

Frequently asked questions

Avinash Y.Status: Offline

About Avinash

Avinash Y.Status: Offline
Senior Full-Stack AI Engineer | LLM Apps, Automation & Custom Agents
Pune, India - 6:43 pm local time
Full-Stack AI Engineer and Product Innovator specializing in rapid prototyping and deployment of GenAI-driven SaaS systems. Adept at architecting intelligent applications using RAG, LangChain, and LLM orchestration to power adaptive SaaS products. across Python & JavaScript ecosystems. Committed to shaping scalable, ethical, & business-driven AI that enhance user experience and efficiency.

Steps for completing your project

After purchasing the project, send requirements so Avinash can start the project.

Delivery time starts when Avinash receives requirements from you.

Avinash works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1: Discovery & Data Audit

We review your data sources, define the assistant scope, and confirm the tech stack and integration points.

Step 2: RAG Pipeline Setup

We build the ingestion pipeline, chunk and embed your documents, and set up the vector database.

Review the work, release payment, and leave feedback to Avinash.