Content Generation
Brand-consistent content at scale — product descriptions, articles, emails, social posts.
Generative AI
Generative AI applications built for your business
Custom GenAI apps — content generation, document automation, RAG pipelines and code assistants. Built on GPT-4, Claude or Gemini, deployed on your infrastructure.
GPT-4, Claude, GeminiMulti-model
RAG & fine-tuningBoth approaches
On-prem or cloudYour choice
What We Build
GenAI for every business need
Document Automation
Contract drafting, report generation, form processing and document Q&A.
RAG Systems
Retrieval-augmented generation that answers questions from your knowledge base accurately.
Code Assistants
Internal coding assistants trained on your codebase — faster reviews, better suggestions.
Translation & Localisation
High-quality multilingual content adapted for the USA, Europe and worldwiden markets.
Multimodal Apps
Image analysis, chart reading, document scanning and vision-language pipelines.
Our Process
From idea to GenAI in production
1
Discovery
Use case, data inventory and success criteria — grounded in real business value.
2
Model Selection
GPT-4, Claude, Gemini or open-source — evaluated against your task and constraints.
3
Build
RAG pipeline, prompt engineering, guardrails and UI — built iteratively with your feedback.
4
Evaluation
Accuracy, hallucination rate and latency benchmarked before production.
5
Deploy
API or embedded UI — with monitoring, cost controls and a retraining plan.
FAQ
Common questions
RAG or fine-tuning — which is better?
RAG for dynamic, frequently updated knowledge. Fine-tuning for consistent style, domain language or small fast models. Often both are used together.
How do you prevent hallucinations?
Source grounding, confidence scoring, retrieval quality checks and human review workflows for high-stakes outputs.
Can it access our private data?
Yes — we build on-prem and VPC deployments where your data never leaves your infrastructure.
Which models do you support?
OpenAI (GPT-4, o1), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral, Qwen and others — model-agnostic approach.
Generative AI Development — Custom LLM & RAG Solutions
TECHTARN is a generative AI development company building custom LLM applications, RAG systems and AI content tools for businesses across the USA, Canada, UK, UAE, Singapore, Australia and worldwide. We help you harness generative AI safely, effectively and grounded in your own data.
Generative AI is transforming how businesses create content, answer questions and process information. But off-the-shelf tools rarely fit specific business needs. Our generative AI solutions are built around your data and workflows, with proper controls to prevent hallucinations and protect sensitive information.
Our Generative AI Services
We build RAG (retrieval-augmented generation) systems that answer questions accurately from your knowledge base, custom LLM applications tailored to your use case, and AI content generation tools that maintain your brand voice. We work with GPT, Claude, Gemini, Llama and open-source models — recommending the right one for your quality, cost and privacy needs.
For businesses needing domain-specific accuracy, we offer LLM fine-tuning on your own data. We can build these into autonomous agents or chatbots, all deployed on a reliable MLOps foundation. For sensitive data, we offer on-premise and private cloud deployments where your data never leaves your infrastructure.
Ready to build with generative AI? Estimate your project with our AI cost estimator, explore full AI development, or book a free consultation.
Ready to build with GenAI?
Tell us the use case. We'll recommend the model, architecture and a realistic timeline.
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