# GenOrbit Innovations > GenOrbit Innovations is an AI-native software development company headquartered in Kalyani Nagar, Pune, India. It designs and engineers custom software, generative AI applications, LLM and RAG systems, and AI agents for startups and enterprises worldwide, and builds its own AI products including AstroVedica, Navamsha AI, Doco AI and LeadsLe. GenOrbit is AI-native: artificial intelligence is designed into the data layer, workflows and user experience from day one rather than added later. The team ships and operates its own AI products before building for clients, and every engagement is run directly by the founders. ## Key facts - Name: GenOrbit Innovations (GenOrbit Innovations Pvt. Ltd.) - Type: AI-native software development company / AI product engineering studio - Headquarters: Kalyani Nagar, Pune, Maharashtra 411006, India - Founded: 2023, in Pune, by Avinash Chandan and Abhijeet Shankar - Serves: startups, SMEs and enterprises in Pune, across India, and in the US, UK, UAE and Australia - Own AI products: AstroVedica, Navamsha AI, Doco AI, LeadsLe - Track record: 12+ products in production, 3 AI flagships live, 50+ engineering articles - Engagement: founder-direct, fixed-scope; free AI readiness audit; AI MVPs in 4–8 weeks from ₹8–15 lakh - Contact: hello@genorbitinnovations.com · https://genorbitinnovations.com/contact - Tagline: Intelligent software, built to last. ## Company - [Home](https://genorbitinnovations.com/): What GenOrbit does, products in market, capabilities and process. - [About](https://genorbitinnovations.com/about): Story, founders (Avinash Chandan, Abhijeet Shankar), timeline and operating principles. - [AI software development company in Pune](https://genorbitinnovations.com/ai-software-development-company-pune): The Kalyani Nagar, Pune studio, areas served and local FAQs. - [What is AI-native software development?](https://genorbitinnovations.com/ai-native-software-development): Definition, AI-native vs AI-enabled comparison and principles. - [How we work](https://genorbitinnovations.com/how-we-work): Engagement models, process, timelines and indicative pricing. - [Work](https://genorbitinnovations.com/work): Portfolio and case studies. - [Products](https://genorbitinnovations.com/products): AI products built and operated by GenOrbit. - [FAQ](https://genorbitinnovations.com/faq): Costs, timelines, RAG, AI agents and how GenOrbit works. - [Contact](https://genorbitinnovations.com/contact): Start a project; founder reply within 24 hours. ## Services - [Custom Software Development](https://genorbitinnovations.com/services/custom-software-development): Custom software development for web apps, mobile apps, APIs, and SaaS platforms. Full-stack engineering from architecture to deployment by an AI-native studio in India. - [AI Integration & Automation](https://genorbitinnovations.com/services/ai-integration-automation): AI integration services for LLMs, RAG pipelines, AI agents, and smart automation. Embed intelligence at the foundation — not bolted on as an afterthought. - [LLM, RAG & Agent Development](https://genorbitinnovations.com/services/llm-rag-agent-development): LLM and RAG pipeline development for production AI products. Multi-agent architectures, vector databases, and evaluation frameworks by GenOrbit. - [Product Strategy & MVP](https://genorbitinnovations.com/services/product-strategy-mvp): AI product MVP development for startups — scoping, user flows, GTM strategy, and MVP definition. Go from AI idea to production in 6 weeks. - [Healthcare AI Development](https://genorbitinnovations.com/services/healthcare-ai-development): Healthcare AI software development for clinical decision support, medical data pipelines, and CDSS platforms. Proven through Doco AI. - [Lead Generation AI](https://genorbitinnovations.com/services/lead-generation-ai): AI lead generation platform development with scoring, outreach intelligence, and pipeline analytics. Proven through LeadsLe. ## Industries - [Healthcare AI](https://genorbitinnovations.com/industries/healthcare-ai): Healthcare AI development for CDSS, clinical decision support, and medical data pipelines. Proven through Doco AI — built by an AI-native engineering studio in India. - [Astrology & Spiritual Tech](https://genorbitinnovations.com/industries/astrology-spiritual-tech): Build astrology AI platforms with precision chart engines, classical rule encoding, and controlled LLM interpretation. Proven through Navamsha AI. - [SaaS Product Development](https://genorbitinnovations.com/industries/saas-product-development): AI-native SaaS product development for startups — from MVP scoping to production-grade LLM features, RAG pipelines, and full-stack engineering. - [FinTech AI](https://genorbitinnovations.com/industries/fintech-ai): FinTech AI development for risk assessment, fraud detection, and lending intelligence. Production-grade engineering for regulated financial products. - [EdTech AI](https://genorbitinnovations.com/industries/edtech-ai): AI EdTech product development with adaptive content delivery, personalized learning paths, and intelligent assessment for Indian and global markets. - [Ecommerce & Retail AI](https://genorbitinnovations.com/industries/ecommerce-retail-ai): Ecommerce AI for demand forecasting, personalization, and conversion optimization. Proven through SaFoods, Bakers Pride, and retail client work. ## Products - [AstroVedica](https://www.astrovedica.in/): Astrology AI. India's AI-powered Vedic astrology platform. Delivers precise birth chart analysis, personalized predictions, and deep astrological guidance — classical Jyotish rendered through modern AI. - [Navamsha AI](https://navamsha.in): Astrology AI. An AI-enabled Vedic astrology platform. Delivers intelligent birth chart analysis, personalized predictions, and astrological insights — bridging ancient wisdom with modern AI. - [Doco AI](https://main.d1mrd385bumfov.amplifyapp.com/): Healthcare AI / CDSS. A Clinical Decision Support System that assists doctors with AI-driven diagnostic recommendations, patient data analysis, and evidence-based clinical guidance. - [LeadsLe](https://www.leadsle.online/login): Sales SaaS. An AI-enabled lead generation platform that helps businesses identify, score, and convert high-intent leads. Automates outreach intelligence and pipeline growth. ## Engineering blog - [Why Every Software Studio Should Ship Its Own Product First](https://genorbitinnovations.com/blog/why-every-studio-should-ship-its-own-product-first): The best proof of competence isn't a case study — it's a live product with real users. Here's why we built our own products before taking on clients. - [AI Integration Done Right: Foundation vs. Feature](https://genorbitinnovations.com/blog/ai-integration-foundation-vs-feature): Most companies bolt AI onto existing systems. We embed it at the foundation. The difference matters more than you think. - [Vedic Astrology Meets Machine Learning: Building Navamsha AI](https://genorbitinnovations.com/blog/vedic-astrology-meets-machine-learning-navamsha-ai): How we combined classical chart computation, structured rules, and careful language generation to build an astrology product that aims for depth — not generic horoscope spam. - [Clinical Decision Support: How AI Is Entering the Doctor's Room](https://genorbitinnovations.com/blog/clinical-decision-support-ai-doctors-room): Reducing diagnostic error isn't about replacing doctors — it's about giving them intelligent tools that respect workflow, evidence, and accountability. - [Lead Generation in 2025: Why AI Scoring Changes Everything](https://genorbitinnovations.com/blog/lead-generation-2025-ai-scoring): Spray-and-pray outbound is dying. The edge belongs to teams that combine behavioral signals, timing, and message relevance — without turning sales into surveillance theater. - [The Lean Studio Advantage: Why Small Teams Ship Better Software](https://genorbitinnovations.com/blog/lean-studio-advantage-small-teams-ship-better): Small is not a compromise. When communication overhead stays low and talent density stays high, teams ship clearer products — faster. - [How to Build a RAG Pipeline with LangChain and FastAPI](https://genorbitinnovations.com/blog/how-to-build-rag-pipeline-langchain-fastapi): A production-minded walkthrough of retrieval-augmented generation: ingestion, chunking, embeddings, vector search, and a FastAPI serving layer your frontend can trust. - [LangGraph vs CrewAI vs AutoGen: Which Multi-Agent Framework Is Right?](https://genorbitinnovations.com/blog/langgraph-vs-crewai-vs-autogen): Multi-agent hype is real, but the frameworks solve different problems. Here is how LangGraph, CrewAI, and AutoGen compare for production AI products. - [Pinecone vs ChromaDB vs Weaviate: Vector Database Comparison 2026](https://genorbitinnovations.com/blog/pinecone-vs-chromadb-vs-weaviate): Managed vs self-hosted, metadata filtering, hybrid search, and cost at scale — a practical comparison for teams building RAG in 2026. - [Fine-Tuning vs RAG: When to Use Each for AI Product Development](https://genorbitinnovations.com/blog/fine-tuning-vs-rag-ai-product-development): Fine-tuning teaches behavior; RAG supplies facts. Most products need both — but in different proportions. Here is how we decide. - [Building a Production-Grade LLM API with FastAPI and OpenAI](https://genorbitinnovations.com/blog/production-llm-api-fastapi-openai): Timeouts, retries, structured outputs, rate limits, and observability — the checklist for an LLM API that survives real traffic. - [How to Add Memory to an AI Chatbot Using LangChain](https://genorbitinnovations.com/blog/langchain-chatbot-memory-guide): Short-term buffer, summary memory, and vector-backed history — patterns for chatbots that remember context without blowing token budgets. - [Streaming LLM Responses in React: A Full-Stack Guide](https://genorbitinnovations.com/blog/streaming-llm-responses-react): SSE, fetch streams, and UI states that make streaming feel instant — without race conditions or orphaned tokens. - [Evaluating LLM Output Quality: RAGAS, TruLens, and Custom Evals](https://genorbitinnovations.com/blog/evaluating-llm-output-ragas-trulens): Benchmarks lie; production evals do not. How to combine RAGAS, TruLens, and domain golden sets before shipping AI features. - [Building an AI Copilot for Your SaaS Product](https://genorbitinnovations.com/blog/building-ai-copilot-saas): Copilots fail when they are generic chat windows. Here is how to embed AI in workflow — tools, context, and permissions included. - [Prompt Engineering Patterns for Production AI Systems](https://genorbitinnovations.com/blog/prompt-engineering-production-patterns): System prompts, few-shot, chain-of-thought, and JSON mode — patterns that survive version bumps and red teams. - [How to Go from AI Idea to MVP in 6 Weeks](https://genorbitinnovations.com/blog/ai-idea-to-mvp-6-weeks): A week-by-week playbook: problem validation, thin-slice architecture, eval, and launch without boiling the ocean. - [What to Build Before You Hire an AI Developer](https://genorbitinnovations.com/blog/build-before-hiring-ai-developer): Problem brief, data inventory, success metrics, and a clickable prototype — assets that cut time-to-value once engineers arrive. - [AI Features That Actually Retain Users (Not Just Impress Them)](https://genorbitinnovations.com/blog/ai-features-user-retention): Demo magic fades by week two. Retention comes from AI that completes jobs users already care about. - [The Real Cost of Building an AI Product in 2026](https://genorbitinnovations.com/blog/real-cost-ai-product-2026): Beyond API bills: data labeling, eval infra, compliance, and the maintenance tax most budgets ignore. ## Optional - [Full context for LLMs](https://genorbitinnovations.com/llms-full.txt): Services, industries, products, FAQ and every blog post in one file. - [Technologies](https://genorbitinnovations.com/technologies): The AI and engineering stack GenOrbit uses in production. - [Blog index](https://genorbitinnovations.com/blog): All 50 articles. - [LinkedIn](https://www.linkedin.com/company/genorbit-innovations)