· · ·
Services Work Process Expertise Contact Book a Call
AI Consulting · Est. 2026

Bridge your business
to the AI era

Augmiq designs and deploys production-grade AI — from autonomous agents to LLM pipelines — for startups, SMBs, and enterprises ready to move.

🎓 Michigan Engineering Certified LangChain · RAG · MCP LLM Fine-Tuning AI Governance
augmiq_agent.py
# Augmiq — live engagement
 
client = Augmiq(
  model="gpt-4o",
  framework="langchain",
  tools=["rag", "mcp"]
)
 
# Deploy agentic workflow
result = client.run(
  task="automate_hr_pipeline",
  governance=True
)
 
► Agent deployed successfully
Prompt Engineering
Agentic Frameworks
LangChain
RAG Pipelines
LLM Fine-Tuning
Stable Diffusion
Variational Autoencoders
GANs
Attention Mechanisms
Transformers
GenAI App Dev
LLM Benchmarking
AI Governance
Model Context Protocol
Azure AI Studio
Hugging Face
Prompt Engineering
Agentic Frameworks
LangChain
RAG Pipelines
LLM Fine-Tuning
Stable Diffusion
Variational Autoencoders
GANs
Attention Mechanisms
Transformers
GenAI App Dev
LLM Benchmarking
AI Governance
Model Context Protocol
Azure AI Studio
Hugging Face
0+
AI Skills Mastered
0+
Training Hours
0+
Industry Projects
0
Languages Served
// what we build

Every engagement, fully engineered

We don't hand you slide decks. We ship working AI systems.

01
🧠
AI Strategy & Literacy
Assess your AI readiness, identify the highest-ROI use cases, and build a concrete roadmap your team can actually execute.
AI LiteracyRoadmapGap Analysis
02
🔗
LLM & RAG Systems
Custom retrieval-augmented generation pipelines and fine-tuned LLMs trained on your proprietary data — delivering accurate, grounded answers.
RAGFine-TuningFAISSOpenAI
03
Agentic AI
Autonomous agents that reason, plan, and act — using LangChain and Model Context Protocol to handle complex multi-step business workflows.
LangChainMCPAI Agents
04
🎨
Generative AI Apps
End-to-end generative applications — image generation platforms, AI content tools, and creative automation — shipped and production-ready.
DALL-EStable DiffusionGradio
05
🛡️
AI Governance
Responsible AI frameworks that embed transparency, fairness, security, and regulatory compliance into every model from the start.
FairnessComplianceSecurity
06
📡
Team Enablement
Hands-on workshops in prompt engineering, AI tools, and model evaluation — so your team can build and maintain AI solutions independently.
PromptingWorkshopsBenchmarking
// portfolio

Projects we've built

Real AI systems from our curriculum — the same capabilities we bring to every client engagement.

Business Intelligence
AI-Powered BI Assistant (InsightForge)
Built an AI tool that analyzes business data, identifies trends, and generates actionable insights using LangChain RAG and LLMs with interactive visualizations.
LangChainRAGLLMsPython
Automated reporting pipeline
HR Automation
AI-Powered HR Chatbot
Built a conversational AI that helps employees retrieve instant answers from HR policy documents using OpenAI GPT and a Gradio interface — zero manual lookup.
OpenAI GPTGradioRAGFAISS
80% reduction in HR queries
Generative AI
AI Design Studio for Marketing
Created a text-to-image platform that generates marketing visuals, banners, and campaign assets from natural language descriptions using DALL-E and Gradio UI.
DALL-EGradioOpenAI APIStable Diffusion
10× faster creative output
Agentic AI
News & Information AI Agent
Developed an autonomous agent that delivers real-time news, filters misinformation, and answers user queries using OpenAI GPT and LangGraph multi-step reasoning.
LangGraphOpenAIMCPPython
Real-time agentic pipeline
LLM Fine-Tuning
Personalized Falcon-7B Instance
Fine-tuned a Falcon-7b language model for domain-specific text generation, using instruction tuning to adapt the model's behavior to custom task examples.
Hugging FaceFalcon-7BPEFTLoRA
Domain-adapted LLM deployed
Image Generation
LangChain Image Generator
Built an image generation app connecting OpenAI API to DALL-E via LangChain, turning text descriptions into lifelike pictures and artwork on demand.
LangChainDALL-EOpenAI APIStreamlit
Full creative pipeline shipped
// how it works

Five steps from idea to impact

A structured, repeatable framework — from first conversation to production deployment.

Five steps from idea to impact: Discovery, Design, Build, Deploy, Enable
01
Discovery
Audit data, workflows, and goals to map AI opportunity
02
Design
Choose the right models, tools, and architecture
03
Build
Develop, fine-tune, and rigorously test the solution
04
Deploy
Ship to production with governance and monitoring
05
Enable
Train your team and iterate for compounding returns
// client results

What clients say

★★★★★
"
Augmiq transformed how we handle customer data. The RAG pipeline they built cut our analysts' research time in half — and it actually works on our proprietary data.
SK
Sarah K.
Head of Operations, TechScale Inc.
★★★★★
"
We went from zero AI to a fully deployed agentic workflow in 6 weeks. The team's depth in LangChain and MCP is genuinely impressive — no hand-holding required.
MR
Marc R.
CTO, Finova Digital
★★★★★
"
Our marketing team now generates campaign assets in minutes. The AI design studio Augmiq built is running in production and saving us thousands in creative costs every month.
JL
Julia L.
CMO, BrandForge Agency
// our stack

Skills & technologies

Certified through Michigan Engineering Professional Education.

💬
Prompt Engineering
Structured prompts that maximize LLM accuracy and reliability across all use cases.
🔍
RAG Pipelines
Retrieval-augmented generation for grounded, accurate, knowledge-rich AI responses.
Agentic Frameworks
Autonomous AI agents with LangChain and MCP for complex multi-step workflows.
🎛️
LLM Fine-Tuning
Domain-specific model customization with Hugging Face and instruction tuning.
🖼️
Image Generation
DALL-E, Stable Diffusion, VAEs, and GANs for creative AI-powered applications.
🛡️
AI Governance
Transparent, fair, and compliant AI systems — built responsibly from day one.
🔗
LangChain & MCP
Advanced AI workflow orchestration using Model Context Protocol.
📊
LLM Benchmarking
Systematic evaluation of model quality, performance, and risk factors.
// get in touch

Let's build something together

Tell us about your project and we'll get back to you within 24 hours with a clear plan of action — no sales pitch, no fluff.

📍
Global · Remote-first
or message us on
Chat on WhatsApp

Message sent!

We'll be in touch within 24 hours.

// common questions

Frequently asked

Most projects run 4–12 weeks depending on scope. A strategy audit can be done in 1–2 weeks. A full LLM pipeline or agentic system typically takes 6–10 weeks from kickoff to production deployment.

Projects are scoped and priced per engagement. Strategy audits start around $2,500. Full AI system builds typically range from $8,000–$30,000 depending on complexity. We're transparent about pricing from the first call.

Not necessarily. We can work with your existing data, documents, or APIs — or help you identify what data to collect. Many clients start with surprisingly little and still get strong results quickly.

We work across industries — fintech, healthcare, marketing, HR, e-commerce, and professional services. AI problems are mostly industry-agnostic at the technical level; the domain knowledge comes from you.

Yes — this is a core part of every engagement. We document everything, run training sessions, and offer optional ongoing support. Our goal is to make your team self-sufficient, not dependent on us.

Book a Free Discovery Call
📅
30 minutes. Free. No pitch.

We will look at your data, workflows, and goals — and tell you exactly where AI creates the most value for your business this quarter.

1
Go to your Calendly account and create a free 30-min event type
2
Replace the URL below with your personal Calendly link
3
The button will open your booking page directly
https://calendly.com/augmiq/discovery
Open Booking Page →