You will get Multi-Agent AI Systems, RAG Pipelines & LLM Orchestration | All Industries
Project details
Most AI projects fail in production - not because of the model,
but because of the architecture.
We've shipped 8 production AI systems across healthcare,
cybersecurity, real estate, e-commerce, manufacturing, and SaaS.
Our 10-agent clinical AI system achieved 4× the accuracy of the
client's previous baseline. Our cybersecurity SaaS is live. Our
multi-provider LLM router handles real users today.
Here's what separates Mindscape Analytics:
We don't start with code. We start with a written architecture
document - agent roles, retrieval strategy, data flow, tool
design, stack decisions - reviewed and approved by you before a
single line is written.
Every system ships with production-grade patterns: hybrid BM42 +
dense retrieval, RRF fusion, Cohere reranking, Redis caching,
async FastAPI, and Docker-ready deployment. No tutorials. No
wrappers. Real engineered systems.
We are domain-agnostic. Healthcare, legal, finance, logistics,
real estate - if you have data and a problem, we build the AI
to solve it.
Send a message with your use case. We'll reply with a scoping
assessment within a few hours.
but because of the architecture.
We've shipped 8 production AI systems across healthcare,
cybersecurity, real estate, e-commerce, manufacturing, and SaaS.
Our 10-agent clinical AI system achieved 4× the accuracy of the
client's previous baseline. Our cybersecurity SaaS is live. Our
multi-provider LLM router handles real users today.
Here's what separates Mindscape Analytics:
We don't start with code. We start with a written architecture
document - agent roles, retrieval strategy, data flow, tool
design, stack decisions - reviewed and approved by you before a
single line is written.
Every system ships with production-grade patterns: hybrid BM42 +
dense retrieval, RRF fusion, Cohere reranking, Redis caching,
async FastAPI, and Docker-ready deployment. No tutorials. No
wrappers. Real engineered systems.
We are domain-agnostic. Healthcare, legal, finance, logistics,
real estate - if you have data and a problem, we build the AI
to solve it.
Send a message with your use case. We'll reply with a scoping
assessment within a few hours.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Regression AnalysisAI Applications
AI Chatbot, AI Text-to-Image, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, Conversational AI, Facial Recognition, Image Recognition, Object Localization, Sentiment Analysis, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,400
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | - | |
NLP Tokenization | - | ||
Pre-Training | - | ||
Prompt Engineering | |||
Setup File | |||
Source Code | - |
Frequently asked questions
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OS
Omar S.
May 4, 2023
Project math
About Zeeshan
Full-Stack AI Engineer | RAG Pipelines | Next.js | FastAPI | Python
Karachi, Pakistan - 4:49 am local time
With a strong foundation in AI Agentic systems, data analytics, machine learning, automation engineering, and full-stack development I ship clean, documented, and production-ready. No demos. Real systems.
Steps for completing your project
After purchasing the project, send requirements so Zeeshan can start the project.
Delivery time starts when Zeeshan receives requirements from you.
Zeeshan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scoping
We review your submitted requirements, ask targeted follow-up questions, and finalize project scope, stack selection, agent roles, and success metrics - all confirmed in writing before build starts.
Architecture Design Document
We produce a full written system design covering agent roles, data flow, retrieval strategy, API structure, and integration points. Shared with you for approval - no code written until you sign off.