Custom AI Recommendation Engines & Personalization Systems
Welcome to Associative. We are a team of dedicated innovators and IT professionals headquartered in Pune, Maharashtra, India. In today’s digital landscape, personalization is no longer a luxury—it is a necessity. At Associative, we transform raw data into actionable insights through high-performance AI recommendation engines.
Established in 2021 and formally registered with the Registrar of Firms (ROF), we operate with unyielding transparency. Our mission is to guide businesses through the complexities of AI, using advanced machine learning to create solutions that drive growth, efficiency, and market leadership.
Our Expertise in AI Recommendation Engines We do not rely on generic, out-of-the-box plugins. We engineer tailored recommendation systems that understand your users' behavior. Utilizing our "Core AI/ML" expertise, we build intelligent algorithms that predict user preferences in real-time.
How We Build Recommendation Systems Our approach fuses data science with robust software engineering:
- Collaborative Filtering: We utilize historical interactions to predict what users will like based on similar user profiles.
- Content-Based Filtering: We analyze item attributes to recommend products or content similar to what a user has interacted with previously.
- Hybrid Systems: By combining multiple methodologies, we overcome the limitations of single-model systems (such as the "cold start" problem).
- Deep Learning Models: Leveraging frameworks like TensorFlow and PyTorch, we build neural networks capable of processing complex, non-linear user data.
The Technology Stack Behind Our Engines Associative utilizes a massive landscape of technologies to ensure your recommendation engine is fast, accurate, and scalable.
- Core AI & ML: Python ecosystem (TensorFlow, PyTorch, Scikit-learn) and Java libraries (Deeplearning4j).
- Generative AI Integration: We can enhance recommendations using Large Language Models (LLMs) via frameworks like LangChain and Ollama.
- Data Processing: High-speed data handling with SQL (PostgreSQL, Oracle) and NoSQL (MongoDB, Redis, DynamoDB) databases.
- Backend Integration: Seamless API integration using Node.js, Python (Django/FastAPI), or Java (Spring Boot) to connect the engine to your existing web or mobile platforms.
Why Choose Associative?
- Adobe Bronze Solution Partner: Our official accreditation validates our technical excellence.
- Full IP Ownership: We operate under strict NDAs. We do not share client projects or maintain a public portfolio. Upon project completion and final payment, you receive 100% ownership of the source code and IP.
- Transparent Operations: We work on a strict time-and-materials basis. Invoices are submitted daily, weekly, or on a milestone basis, ensuring you only pay for the work performed.
- Flexible Engagement: Whether you need 3 hours a day or 9, our developers work from our secure offices in Pune to meet your evolving project needs.
Industries We Serve Our AI recommendation engines are adaptable across various domains:
- E-Commerce: Product suggestions similar to Amazon or Shopify implementations.
- Streaming & Media: Content curation for video and music platforms.
- Financial Services: Personalized investment product suggestions.
Engagement Model & Support We are a project-based development company. We do not offer fixed-bid or fixed-timeline contracts due to the dynamic nature of custom AI development. instead, we provide general estimates based on our experience (e.g., complex custom software often requires a minimum of 1000 hours).
We support payments via RTGS, NEFT, IMPS, and UPI. All projects come with a 7-day complimentary post-launch support period to ensure stability.
Contact Us Ready to transform your user experience with intelligent personalization? Let’s discuss your vision.
Associative Address: Khandve Complex, Yojana Nagar, Lohegaon - Wagholi Road, Lohegaon, Pune, Maharashtra, India – 411047 Phone/WhatsApp: +91 9028850524 Email: info@associative.in Website:https://associative.inOffice Hours: 10:00 AM to 8:00 PM (Monday through Saturday)
Harendra Yadav
