Build AI-Powered Products That Actually Work
From ChatGPT integrations to custom ML models, we help startups add intelligence to their products. No PhD required. Real results in 2-4 weeks.
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Discuss your AI use case. Get honest advice on what's possible.
"Hi, I'm Gaurav Sharma. AI isn't magic, it's engineering. With 10+ years building products and deep expertise in GPT-4, Claude, and ML models, let me show you what's actually possible for your startup — no hype, just practical solutions."
What We Build
Practical AI solutions that solve real business problems
ChatGPT & LLM Integration
Add conversational AI to your product. Customer support bots, content generation, code assistants, document analysis.
- • GPT-4, Claude, Gemini
- • Custom prompt engineering
- • Streaming responses
RAG & Knowledge Systems
Let AI answer questions from your data. Perfect for documentation, customer knowledge bases, and internal tools.
- • LangChain & LlamaIndex
- • Pinecone, Weaviate, Chroma
- • Document ingestion pipelines
Recommendation Engines
Personalized content, product suggestions, and matching algorithms that improve engagement and conversion.
- • Collaborative filtering
- • Content-based recommendations
- • Hybrid approaches
Document Processing
Extract data from PDFs, contracts, invoices, and forms. Automate data entry and document analysis.
- • OCR & text extraction
- • Contract analysis
- • Invoice parsing
Predictive Analytics
Forecast demand, predict churn, score leads, and make data-driven decisions with custom ML models.
- • Churn prediction
- • Lead scoring
- • Demand forecasting
Computer Vision
Image recognition, object detection, quality control, and visual search for your applications.
- • Image classification
- • Object detection
- • Visual similarity search
Technologies We Use
Modern, production-ready AI infrastructure
LLM Providers
- OpenAI GPT-4
- Anthropic Claude
- Google Gemini
- Meta Llama 3
- Mistral AI
Frameworks
- LangChain
- LlamaIndex
- Haystack
- Semantic Kernel
Vector Databases
- Pinecone
- Weaviate
- Chroma
- Qdrant
ML & Infrastructure
- TensorFlow & PyTorch
- Hugging Face
- AWS SageMaker
- Google Vertex AI
From Idea to Production in 2-4 Weeks
A proven approach to AI development
Discovery & Feasibility
Understand your use case, evaluate data requirements, assess what's technically possible
Days 1-3Prototype & Validate
Build a working prototype, test with real data, iterate on prompts and models
Days 4-10Production Development
Build robust APIs, add error handling, implement caching and rate limiting
Days 11-21Deploy & Optimize
Deploy to production, monitor performance, optimize costs and latency
Days 22-28What AI Can Do For Your Business
Real opportunities for startups ready to leverage AI
Save 10+ Hours Per Week
Automate repetitive tasks like document processing, email responses, and data entry. Your team focuses on high-value work while AI handles the routine.
24/7 Customer Support
Deploy AI chatbots that understand your product deeply. Answer customer questions instantly, handle common issues, and escalate complex cases to humans.
Data-Driven Decisions
Turn your data into actionable insights. Predict customer behavior, optimize pricing, forecast demand, and identify trends before your competitors.
Personalized User Experience
Make every user feel special with AI-powered personalization. Recommend products, customize content, and adapt interfaces based on user behavior.
Not sure if AI is right for your use case?
Book a free 30-minute call. We'll assess your specific situation and give you honest advice — even if that means AI isn't the answer.
Get Free AI Assessment →Learn More About AI Integration
AI Integration Guide: Adding AI to Your MVP
A practical guide to integrating AI into your product. OpenAI, Claude, and other APIs explained with real examples.
Read Guide → TECHNICALNo-Code vs Custom Development
When to use no-code tools and when custom development is worth the investment.
Read Article →Common Questions About AI Development
It depends on complexity. Simple ChatGPT integrations start at $5,000. RAG systems with custom knowledge bases are $10,000-25,000. Full AI products with custom ML models are $25,000-50,000. We also offer equity partnerships for early-stage startups.
Not always. LLM-based solutions (ChatGPT, RAG) can work with minimal data — even just your existing documents. Custom ML models do need training data, but we can often start small and improve as you gather more data.
We design cost-efficient systems. Typical costs: $50-500/month for moderate usage. We implement caching, use cheaper models where appropriate, and optimize prompts to minimize token usage. We'll give you accurate estimates before starting.
Yes. We can add AI features to any existing web or mobile app. We build APIs that integrate with your current tech stack. No need to rebuild your product — we add AI as a new capability.
It varies by use case. LLM-based Q&A with RAG typically achieves 85-95% accuracy. We always build in confidence scores and human-in-the-loop options for critical decisions. We'll set realistic expectations during our discovery call.
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