Generative AI Development
Custom generative AI solutions including LLM applications, RAG pipelines, content generation, and AI copilots. Built for enterprise scale and security from the ground up.
Generative AI that creates real value
From RAG pipelines that answer questions accurately to AI copilots that accelerate your team, we build generative AI systems designed for production use.
Custom LLM Applications
Purpose built applications powered by large language models. We integrate LLMs into your workflows with custom prompts, tool use, and domain specific knowledge to automate complex tasks.
RAG Pipelines
Retrieval augmented generation systems that ground LLM responses in your verified data. We build pipelines with semantic search, hybrid retrieval, and citation tracking for accurate, trustworthy answers.
AI Copilots
Intelligent assistants that work alongside your team. Our copilots understand your codebase, documents, and processes, providing contextual suggestions and automating repetitive work.
Content Generation
Custom content generation systems trained on your brand voice, style guidelines, and domain vocabulary. Generate marketing copy, technical documentation, reports, and summaries at scale.
Code Generation
AI systems that generate, review, and refactor code based on natural language descriptions. Integrated with your development workflow, coding standards, and internal libraries.
Image and Video AI
Generative models for image creation, editing, enhancement, and video synthesis. Custom trained on your visual assets to produce brand consistent creative output.
From use case to production GenAI
A systematic approach to building generative AI systems that are accurate, reliable, and aligned with your business goals.
Use Case Assessment
We evaluate your use case, data availability, and success criteria. We identify where generative AI delivers the highest ROI and where traditional approaches work better.
Architecture Design
We design the system architecture including model selection, retrieval strategy, prompt engineering approach, guardrails, and deployment topology.
Build RAG/LLM Pipeline
We implement the end to end pipeline: data ingestion, embedding generation, vector storage, retrieval logic, prompt templates, and response generation.
Fine Tune and Evaluate
We optimize the system through prompt refinement, retrieval tuning, and optional model fine tuning. Rigorous evaluation against your quality benchmarks.
Production Deployment
We deploy with monitoring, logging, cost tracking, and feedback loops. Continuous improvement based on real user interactions and performance metrics.
Powered by leading AI models and tools
We work with the best foundation models, frameworks, and infrastructure to build generative AI systems that perform at enterprise scale.
Generative AI across verticals
We have delivered generative AI solutions across manufacturing, retail, healthcare, logistics, security, and more. Every solution is designed for your industry context.
Manufacturing
Generative AI for maintenance report generation, quality inspection summaries, technical documentation, and production process optimization insights.
Retail
Product description generation, personalized marketing copy, customer email drafting, and AI powered shopping assistants that understand your catalog.
Healthcare
Clinical note generation, medical literature summarization, patient communication drafting, and AI assistants that reference verified medical knowledge.
Real Estate and Construction
Property listing generation, contract analysis, project report automation, and AI copilots for construction planning and regulatory compliance.
Logistics and Supply Chain
Shipping document generation, supplier communication automation, demand report synthesis, and AI assistants for operations teams.
Security and Surveillance
Incident report generation, threat intelligence summarization, compliance documentation, and AI copilots for security operations centers.
Frequently asked questions
Common questions about our generative AI development services.
What generative AI solutions does Aptibit build?
We build custom LLM applications, retrieval augmented generation pipelines, AI copilots, content generation systems, code generation tools, and image synthesis solutions. Every solution is tailored to your data, workflows, and security requirements.
How do you handle data privacy with generative AI?
We offer fully on premise deployment using open source models so your data never leaves your infrastructure. For cloud deployments, we use private endpoints, encrypt data at rest and in transit, and implement access controls that meet enterprise compliance standards.
How do you reduce hallucinations in generative AI?
We use retrieval augmented generation to ground responses in your verified data. Combined with citation tracking, confidence scoring, and output validation, our systems deliver accurate and verifiable results. We continuously monitor and improve accuracy post deployment.
What does a generative AI project cost?
A basic RAG application typically takes 4 to 8 weeks to build. A full AI copilot with multiple tools and integrations takes 10 to 16 weeks. We provide detailed cost estimates after scoping your use case, data volume, and deployment requirements.
Is generative AI ready for enterprise production use?
Yes, with the right architecture. We build production systems with guardrails, monitoring, fallback mechanisms, and human in the loop workflows. Our solutions handle thousands of queries per minute with consistent quality and sub second response times.
Ready to harness generative AI?
Tell us about your use case. We will show you how generative AI can transform your workflows with a clear plan and realistic timeline.