LLM Development Services
Build intelligent tools and internal systems using fine-tuned Large Language Models like GPT-4, Claude, or Gemini or using them as models.
Today’s enterprises are evolving beyond basic automation—LLMs are enabling smarter, context-aware tools that can reason, generate content, summarize documents, and even make data-driven decisions. At Aigentora, we help you unlock that potential by building secure, custom LLM-powered applications tailored to your unique workflows.
💡 What We Build
Knowledge Assistants: Internal Q&A tools trained on your documentation, SOPs, and policies.
Smart Content Tools: Copywriters, email generators, report writers customized to your tone and brand.
Form & Workflow Agents: Agents that read inputs, fill forms, extract structured data from unstructured sources.
LLM + RAG Systems: Combine your private data with public knowledge for contextual, reliable answers.
Fine-Tuned Models: Domain-specific LLMs built with your proprietary data, reducing hallucination and boosting accuracy.
💼 Industry-Specific LLM Use Cases
Tailored LLM solutions for every industry. Unlock smarter workflows with domain-specific intelligence that fits your business.
E-commerce & Retail
Product Description Generator: Auto-generate SEO-optimized content at scale for thousands of SKUs.
Customer Support Assistant: Help agents respond faster with LLM-suggested replies, even for complex queries.
Healthcare
Medical Knowledgebase Search: Retrieve clinical information from patient notes, manuals, or EMRs.
Patient Intake Summary Tool: Convert unstructured patient histories into structured case summaries.
💰 Financial Services
Policy & Compliance Explainer: Help teams query financial policies in natural language.
Contract Analyzer: Extract and highlight critical clauses from complex agreements.
🏭 Manufacturing & Logistics
SOP Interpreter: Enable frontline teams to query technical instructions or safety procedures instantly.
Supplier Chat Assistant: Convert RFQs, specs, and vendor communication into standardized formats.
🏠 Real Estate
LLM-Powered Investment Summary: Convert listing data and market trends into ready-to-share investor briefs.
Property Comparison Bot: Let buyers compare listings by typing in their specific preferences.
🏫 Education & Training
Custom Tutor Bots: Generate lesson plans, quiz questions, or summaries based on learning objectives.
Student Helpdesk: 24/7 virtual assistant trained on school policies, forms, and academic queries.
📘 Case Studies
See how custom LLM solutions drive real business impact. From retail to real estate, our tools deliver measurable results.
🛒 Fashion Retailer (US)
We helped a Shopify-based brand deploy a GPT-4 tool that auto-generates multilingual product descriptions. Result? 40% faster time-to-market and improved SEO rankings in under 3 months.
🏥 HealthTech Startup (India)
Built a secure knowledge assistant using RAG + fine-tuned Claude model. Internal team queries dropped by 70%, and compliance responses became 2x faster.
🏗️ Manufacturing Company (Germany)
Integrated Gemini Pro into their ERP to assist in interpreting long SOPs. Shop floor queries that once took 15 mins are now answered in under 30 seconds.
🏠 Real Estate Group (UAE)
Developed a listing assistant that summarizes key selling points, market comps, and investment potential. Helped agents close 20% more leads with faster client follow-ups.
FAQEverything you need to know about
An LLM (Large Language Model) is an advanced AI system trained to understand and generate human-like text. At Aigentora, we leverage LLMs to build intelligent business applications — such as chatbots, virtual assistants, automated report generators, and knowledge retrieval systems — enabling teams to save time, reduce manual work, and make smarter, data-driven decisions.
We specialize in custom LLM development, fine-tuning, and deployment. Our services include:
Building domain-specific AI agents and chatbots
Integrating LLMs with CRMs, ERPs, or internal databases
Developing retrieval-augmented generation (RAG) systems
Automating workflows and content generation
Creating analytics-driven business advisors
Each solution is designed to align with your business processes and deliver measurable ROI.
Aigentora works with leading LLM frameworks and APIs, including OpenAI (GPT models), Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, and LangChain. For vector search and data management, we use Pinecone, Weaviate, Chroma, and FAISS — ensuring fast retrieval, scalability, and data privacy.
Yes! We design and develop custom AI assistants powered by LLMs that can understand your brand tone, company data, and workflows. Whether it’s a customer support bot, voice-based virtual assistant, or internal knowledge base agent, we tailor the solution to match your goals and integrate seamlessly with your existing systems.
At Aigentora, we don’t just build LLMs — we build business-ready AI ecosystems. Our expertise lies in:
End-to-end solution design (from data prep to deployment)
Domain-specific customization (legal, finance, retail, healthcare, etc.)
Secure integrations using APIs and private datasets
Ongoing optimization, analytics, and performance tracking
We focus on real-world impact — automation, insights, and measurable outcomes.
Absolutely. We fine-tune models using your proprietary datasets to make the LLM context-aware, industry-specific, and aligned with your brand’s tone and objectives. This enables the model to deliver more accurate, secure, and business-relevant responses — without exposing your data to public systems.
We serve a diverse range of industries, including:
Legal & Compliance: AI legal advisors, document summarization
Finance & Banking: AI portfolio analysts, automated reporting
Healthcare: AI medical support assistants, patient data summarization
eCommerce & Retail: AI product advisors, intelligent search
HR & Recruitment: AI candidate screeners, onboarding chatbots
Education: Personalized learning assistants and academic research tools
The timeline depends on project complexity, data size, and integration needs. A standard LLM prototype can be delivered in 3–6 weeks, while full-scale enterprise solutions typically take 8–12 weeks. We follow an agile methodology — ensuring iterative delivery, transparency, and early testing.
Data security is central to every Aigentora project. We ensure compliance with GDPR, HIPAA, and SOC-2 standards, depending on your region and industry. Sensitive data never leaves your environment — we can deploy models on-premise, in private cloud, or via secured API gateways to guarantee full control and confidentiality.
Getting started is simple. Book a free consultation with our AI experts to discuss your goals and challenges. We’ll assess your data readiness, recommend the right model architecture, and design a clear implementation roadmap — from POC to full deployment. Aigentora’s team then partners with you to bring your intelligent automation vision to life.


