LLM Inference & Fine-tuning ServicesMaximize Performance withTailored LLM Solutions
PragetX helps you harness the full potential of Large Language Models (LLMs) by adapting them to your specific needs and optimizing their deployment.
LLM Inference & Fine-tuning Services
Provide end-to-end services for customizing, optimizing, and deploying Large Language Models to meet your unique performance and cost requirements
Strategy Consulting
Guide model selection based on performance, budget, and customization needs with expert insights, tailored data strategies, and optimized deployment solutions.
- Expert Guidance
- Custom Strategies
- Optimized Deployment
Data Preparation
Collect, clean, structure, and format proprietary data for effective fine-tuning, ensuring high-quality training and optimal model performance.
- Data Collection
- Data Structuring
- Quality Assurance
LLM Fine-tuning
Adapt pre-trained LLMs to specific tasks, domains, or brand voices through specialized fine-tuning for maximum performance and relevance.
- Task Adaptation
- Domain Specialization
- Brand Consistency
Inference Optimization
Optimize deployed LLMs for speed and cost-efficiency using advanced techniques to ensure robust and efficient inference in real-world applications.
- Speed Enhancement
- Cost Efficiency
- Advanced Techniques
Our LLM Inference & Fine-tuning Process
Our systematic approach ensures optimal performance and efficiency for your custom LLM solutions, from initial strategy to ongoing management.
Needs Assessment & Goal Setting
We start by understanding your fine-tuning or inference optimization goals—defining success metrics like accuracy, domain alignment, brand tone, latency, and cost efficiency to align with your broader business objectives.
Understand objectives for fine-tuning or inference optimization
Define goals for accuracy, domain knowledge, or brand voice
Set cost reduction and/or latency targets
Align LLM strategy with overall business outcomes
Model & Data Strategy Development
Based on your objectives, we select the most suitable base LLM, define custom data requirements, and design a collection, preparation, and optimization strategy to support successful fine-tuning or inference enhancement.
Select the optimal base LLM for your use case
Define data requirements and collection methods
Outline data preparation and annotation strategies
Analyze current inference bottlenecks for optimization
Data Preparation & Curation
We collect, clean, de-duplicate, structure, and format data for high-quality model training—ensuring relevance, compliance, and readiness for fine-tuning.
Collect and consolidate data from multiple sources
Clean, filter, and de-duplicate datasets
Structure and format data for fine-tuning compatibility
Ensure data privacy and compliance standards
Fine-tuning Execution & Optimization
Using high-performance environments (e.g., A100 GPUs), we fine-tune models with rigorous monitoring or apply advanced optimization techniques like quantization and pruning for real-time inference scenarios.
Configure training environments (e.g., Cloud GPUs, specific platforms)
Run fine-tuning with monitoring for performance and stability
Apply model optimization techniques (quantization, pruning)
Set up efficient model serving infrastructure
Rigorous Evaluation & Benchmarking
We evaluate fine-tuned models or optimized inference endpoints on validation data, measuring accuracy, safety, latency, bias, and cost-effectiveness to ensure readiness for production.
Test fine-tuned models on validation datasets
Benchmark performance against accuracy, latency, and cost goals
Evaluate model for bias, robustness, and safety
Ensure the model meets all deployment-readiness standards
Deployment, Integration & Monitoring
Deploy refined models via cloud, serverless, or on-premise infrastructure, integrate with your apps, and establish real-time monitoring systems for performance and user feedback loops.
Deploy models to scalable infrastructure (Cloud, On-Premise, Serverless)
Integrate with your applications and workflows
Monitor performance and cost in production environments
Enable feedback collection for iterative improvements
Continuous Monitoring & Iteration
We track performance, costs, and user interactions post-deployment—identifying needs for further tuning, retraining, or optimization to maintain long-term model quality and business impact.
Continuously monitor model performance and inference cost
Detect and address model drift and data changes
Retrain or re-optimize models as needed
Ensure ongoing compliance, security, and ethical AI practices
AI Tools & Tech we use
We leverage cutting-edge AI technologies and frameworks to build robust, scalable, and efficient solutions for your business.
Large Language Models (LLMs)
Fine-tuning Frameworks/Platforms
Cloud AI Platforms
GPU Hardware
Inference Serving
Optimization Libraries
MDeployment Tools
Data Processing
Why Choose PragetX for LLM Inference & Fine-tuning?
Tailored AI Performance
Go beyond generic models by fine-tuning LLMs to excel at your specific tasks and understand your unique domain.
Cost-Effective Inference
Optimize LLM deployment to significantly reduce operational costs while maintaining superior performance.
Reduced Latency
Implement low-latency strategies to ensure your LLM applications respond quickly and improve user experience.
Data Privacy & Security
Safeguard sensitive proprietary data during fine-tuning with strict privacy and compliance standards.
Expertise Across Models
Leverage deep experience with both proprietary models (e.g., GPT-4, Claude) and open-source alternatives (e.g., LLaMA, Mistral).
End-to-End Service
Benefit from comprehensive services covering everything from data preparation to deployment and ongoing lifecycle management.
Scalable Deployment
Easily scale your models to meet increasing user demand without compromising performance or reliability.
Continuous Optimization
Regularly monitor and refine your models to keep up with evolving data, business needs, and technologies.
Our LLM Fine-tuning & Inference Projects
Spanish TTS with Fine-Tuned Voice Cloning
We built a sophisticated Spanish TTS system using fine-tuned models to generate expressive, natural-sounding speech. By customizing StyleTTS2 and integrating VoxPopuli, we delivered high-performance, emotionally rich text-to-speech synthesis.
- Fine-tuned StyleTTS2 for emotion, style, and long-form audio in Spanish.
- Integrated VoxPopuli for advanced voice cloning and multilingual flexibility.
- Deployed a low-latency, production-grade TTS system on AWS infrastructure.
Fine-Tuned Conversational AI Agents with Multilingual and Voice Support
We created a modular platform for deploying intelligent, multilingual AI agents with fine-tuned NLP and voice models. These agents support natural voice interactions, retain long-term memory using RAG, and adapt across languages and user domains.
- Fine-tuned LLMs (e.g., GPT, BERT) on domain-specific datasets for enhanced intent recognition.
- Integrated TTS, STT, and voice cloning systems for natural multilingual voice interfaces.
- Developed a full-stack platform supporting real-time RAG memory and personalization.
Industries Transforming with AI
Discover how artificial intelligence is revolutionizing operations and creating new opportunities across various sectors.
Finance
Healthcare
Legal
Customer Support
Wall of Trust!!!
Our work speaks for itself. Take a look why our clients love team PragetX. They are not just our customers, but they are part of one large extended family.
PragetX has provided expertise and professional project management on high level.Design, Build, Implementation, UAT done as requested.Issue Fixing after UAT was done very fast.The team delivered exceeding quality, on time with perfect communication skills.We are planning further projects with the company.
Highly recommend. I think their strong point is communication. They do follow you in your project and that is priceless. We hired this agency for a redesign of a corporate site in europe. They work on budget and deliver on time. Thanks
We came across Pragtex through one of our Devloper first to fix some IOS related Bugs but over a period of time based on our interaction with the team we found them very skilled, proactive, professional, agile, and open to discussing issues to find the right solutions economically.
Pragetx Softwares PVT LTD successfully completed the project.They had an excellent workflow, which helped them deliver the project on time.Overall, the client was impressed with their team's solidarity.
The task I gave them was done precisely with all of my requirements and they did a fantastic job. They also kept me updated on every step of my work process. The team and the head of the team was very humble and friendly and they helped me in better understanding the scope of the modules than what I anticipated. I would personally recommend them further to the people who are looking for similar kind of services.
I worked with multiple people at PragetX and found them to be professional and flexible on requirements.I would definitely recommend them for startups who are looking at getting things done quickly in a cost effective manner.
The team is very cooperative and delivers good quality work on time.They are receptive to feedback.Overall it was a very good experience working with them.Would surely reccommend them to other organisations.
Impressed the client by how they proactively asked for design inputs and other questions on how to move ahead, enabling them to deliver quality outputs.They also facilitated an excellent workflow between both teams. Overall, the client had a good experience.
Team PragetX is helping us with creatives for our gourmet ice- cream business in Hyderabad.PragetX team has assigned dedicated resources to work on our project and we can directly interact with their team members for faster and accurate delivery of creatives.Among all the social media marketing services companies we found that PragetX is very competitive and pocket friendly.Hawte Madhapur team will highly recommend PragetX who is out looking for Social Media services.
Team was professional and understood the requirements well. They were responsive and deliver the app as I desired. Surely recommended to you.
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