Privexa AI helps enterprises deploy custom-trained Large Language Models inside their own servers—ensuring privacy, compliance, and complete control.
Private & Secure
Enterprise Clients
Uptime Guarantee
Empowering industries with private, compliant, and cost-efficient AI solutions
To empower industries with private, compliant, and cost-efficient AI solutions that transform business operations while maintaining the highest standards of security and regulatory compliance.
Built with enterprise-grade security from the ground up
Tailored solutions for Healthcare, Legal, Banking, Education, and Manufacturing
On-premise, private cloud, or air-gapped solutions
Comprehensive AI solutions tailored for enterprise needs
Build powerful large language models for sector-agnostic requisites. Custom models trained on your proprietary data, deployed securely within your infrastructure.
Specialized fine-tuning of existing models on your domain-specific data for enhanced accuracy and relevance. Customize enterprise LLMs with proprietary data and reinforcement learning.
On-premise and private cloud deployment solutions ensuring complete data control and compliance. Optimize model deployment and performance with MLOps strategies.
Comprehensive security consulting and compliance management for regulated industries. Ensure responsible and ethical AI development with transparency and accountability.
Seamless integration with existing enterprise systems including EHR, ERP, CRM, and MES platforms. Integrate AI into existing tech infrastructures for business transformation.
Advanced NLP development supporting multiple languages and regional compliance requirements. Multimodal LLMs that process text, images, audio, and video.
Specialized AI solutions for regulated and mission-critical industries
HIPAA & FDA-compliant AI assistants for medical records, drug discovery, and patient care optimization.
Case-law retrieval, legal document automation, and Legal-BERT fine-tuning for law firms and legal departments.
RBI-compliant AI solutions for fraud detection, customer support, and financial analysis.
AI tutors, learning portals, and academic content summarization for educational institutions.
AI-driven SOPs, predictive maintenance, and industrial chatbots for manufacturing operations.
Rapid prototyping, developer copilots, product documentation bots, and GTM automation tailored for startups and software companies.
Our unique value propositions that set us apart in the enterprise AI space
Built-in compliance with HIPAA, FDA, RBI, ISO, GDPR, and DPDP standards from day one.
Complete air-gapped and on-premise deployment options for maximum security and control.
Significant cost savings compared to public AI APIs with predictable pricing models.
Comprehensive audit trails and role-based access controls for enterprise governance.
Custom models trained specifically for your industry, not generic one-size-fits-all solutions.
Round-the-clock technical support and maintenance for mission-critical applications.
A systematic approach to deploying enterprise-grade AI solutions
Comprehensive analysis of your requirements, data landscape, and compliance needs.
Secure data collection, cleaning, and preparation for model training and deployment.
Selection of optimal LLM architecture and fine-tuning on your proprietary data.
On-premise or private cloud deployment with comprehensive security measures.
Seamless integration with your existing systems and workflows.
Ongoing monitoring, updates, and support to ensure optimal performance.
Real-world implementations delivering measurable business value
Deployed a HIPAA-compliant AI assistant for patient record summarization, reducing documentation time by 60% and improving care quality.
Implemented a legal document search and drafting tool for a top law firm, improving case research efficiency by 75%.
Created an AI-powered tutoring platform for a university, providing personalized learning experiences for 10,000+ students.
Deployed RBI-compliant AI fraud detection system for a major bank, reducing false positives by 80% while maintaining security.
Launched a RAG-powered developer copilot that reduced PR review time by 35% and improved onboarding speed for new engineers.
Built an FDA guidance assistant with retrieval-augmented generation to answer SOP questions, cutting compliance queries by 60%.
Staying ahead with cutting-edge developments in Large Language Model technology
Rise of smaller, more effective models like TinyLlama and Mixtral that maintain strong performance while reducing computing costs. Perfect for mobile apps, education tools, and startups.
Self-improving models that generate their own questions and answers to refine performance. This approach boosts test scores and reduces data collection costs.
Shift from general-purpose models toward specialized solutions. BloombergGPT for finance, Med-PaLM for medical data, and ChatLAW for legal research deliver stronger accuracy.
LLMs now process text, images, audio, and video. Opens doors for use cases like reading X-rays, composing music, or analyzing videos with related questions.
RAG lets LLMs pull information directly from chosen datasets, making responses more accurate and relevant to specific business needs without hallucinations.
LLM-driven systems that can plan, make decisions, and use tools independently. Cuts down on manual work and speeds up operations with chain-of-thought reasoning.
Battle-tested models, frameworks, and infrastructure for private, compliant AI
Common questions about our enterprise AI solutions
Public AIs run on external servers and pose significant data security risks. Privexa AI builds private, secure, compliant AI solutions that run exclusively on your infrastructure, ensuring complete data control and regulatory compliance.
Yes, absolutely! We specialize in air-gapped and on-premise deployments for maximum security. Our solutions can operate completely offline without any external dependencies.
We support HIPAA, FDA, GDPR, DPDP, RBI, ISO 27001, and industry-specific guidelines. Our solutions are built with compliance-first architecture to meet the strictest regulatory requirements.
Pricing depends on model size, deployment type, and industry requirements. We offer cost-effective alternatives to expensive API subscriptions with predictable pricing models starting from $50,000 for one-time deployment.
We use fine-tuning with domain-specific data, retrieval-augmented generation (RAG), and strict validation checks. Continuous feedback loops further improve output reliability and reduce AI hallucinations.
Training a custom LLM requires high-quality, domain-specific datasets, including text, code, or structured data. Clean, diverse, and labeled data improves accuracy, while proprietary business data ensures relevance and accuracy.
Developing an LLM can take weeks to years, depending on complexity. Pre-trained models accelerate deployment, while custom-built models necessitate extensive training and fine-tuning.
Yes, LLM integration is possible via APIs or SDKs, ensuring seamless compatibility with CRM, ERP, or other business tools without disrupting workflows.
Yes, we provide comprehensive staff training and knowledge transfer to ensure smooth adoption. This includes technical training, best practices, and ongoing support to maximize your team's effectiveness.
Work on cutting-edge private LLMs for industries like Healthcare, Law, Education, Finance, and Manufacturing. Gain real startup exposure, leadership opportunities, and long-term growth. 🌍 This is your chance to build something revolutionary — from India, for the world. 🇮🇳
Build and fine-tune large language models
Develop enterprise-grade AI applications
Ensure compliance and data protection
Drive AI product strategy and growth
Take control of AI with Privexa AI Solutions—custom LLMs deployed inside your infrastructure, fully secure, and built for compliance.