Large Language Model Development Services
Plavno helps companies design, develop, integrate, and deploy large language model solutions that automate workflows, improve decision-making, and turn enterprise knowledge into actionable intelligence. From AI assistants and RAG systems to private LLM infrastructure and domain-specific automation, we build LLM-powered products ready for real business use.
LLM Development Solutions
AI assistants that understand internal knowledge, support teams, and automate repetitive business communication.
Internal knowledge assistants
Employee support bots
Customer service copilots
Department-specific AI assistants
Retrieval-augmented generation systems that connect LLMs to company data and deliver accurate, context-aware answers.
Document search and Q&A
Vector database integration
Knowledge base automation
Source-grounded responses
Solutions that automate document processing, reporting, customer communication, and operational decision support.
Email and ticket automation
Contract and document analysis
Report generation
Multi-step business workflows
Full-cycle development of LLM-powered products tailored to specific business models, industries, and user journeys.
SaaS AI features
AI copilots for platforms
AI-powered dashboards
Domain-specific AI tools
Secure deployment of LLMs in cloud, hybrid, or private environments for sensitive enterprise use cases.
Private cloud deployment
On-premise LLM setup
Data isolation
Secure inference pipelines
Model adaptation and optimization to improve quality, relevance, latency, and cost for specific business tasks.
Domain adaptation
Prompt optimization
Model evaluation
Cost and latency tuning
Integration of leading AI models into existing systems, portals, CRMs, ERPs, and customer-facing products.
GPT integration
Claude integration
Gemini integration
Open-source model integration
Enterprise-grade controls to monitor model quality, reduce hallucinations, and ensure responsible AI use.
Output validation
Evaluation pipelines
Guardrails and moderation
Usage monitoring
Eugene Katovich
Sales Manager
Describe your business process, data environment, and AI goals — and Plavno will help you identify where LLM development can create measurable value, reduce manual work, and support scalable automation.
Get in TouchCase Study
Plavno developed a Voice AI solution for law firms and AttorneyTech providers that helps automate first-line communication with prospective clients, reduce repetitive receptionist and intake work, and create a more structured legal intake process.
reliability targets
Plavno developed an AI customer success copilot that helps SaaS and subscription businesses detect churn risk, strengthen renewal workflows, and unify account intelligence across product, support, and customer success operations.
reduction in manual account review work
Benefits
Turn unstructured company knowledge into searchable, actionable insights.
Automate repetitive communication, documentation, and reporting workflows.
Improve customer and employee experiences with intelligent AI assistants.
Reduce operational costs by replacing manual data processing with AI-powered automation.
Build secure, scalable, and compliant AI systems tailored to your industry.
Maintain full control over data sovereignty with private deployment and on-premise LLM options.
Scale AI usage without performance degradation via optimized inference and cost-aware model routing.
Enable continuous model improvement with fine-tuning pipelines and evaluation-driven development.
Support multi-modal and multi-language workflows without rebuilding core business logic.
Security Measures
We design LLM systems with strict data access rules, encryption, logging, and privacy controls to protect sensitive business information.
We implement role-based access, authentication, permissions, and user-level controls for secure AI usage across teams.
We configure monitoring, usage tracking, prompt logging, and audit trails to support transparency and enterprise governance.
We test LLM systems for vulnerabilities, unsafe outputs, prompt injection risks, and integration weaknesses before launch.
Advanced Tech
Power natural language understanding, generation, summarization, classification, and reasoning-based automation.
Enable semantic search, document retrieval, and context-aware responses across enterprise knowledge bases.
Improves answer accuracy by connecting LLMs to verified internal data sources and documents.
Supports scalable deployment, model monitoring, version control, and reliable infrastructure for production AI systems.
Helps control model behavior, reduce hallucinations, protect sensitive data, and enforce business rules.
Frequently Asked Questions
Find answers to your common concerns
LLM development is the process of building applications, workflows, and enterprise systems powered by large language models. It can include model integration, RAG, fine-tuning, private deployment, evaluation, and product development.
Yes. Plavno designs custom LLM systems around your data, workflows, users, compliance requirements, and business goals.
Not always. In many cases, integration, RAG, fine-tuning, or private deployment of existing models is more efficient than training a model from zero.
Share your business goals, data sources, and target workflows. Plavno will help define the architecture, model strategy, timeline, and development roadmap.
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint
Contact Us
Plavno experts contact you within 24h
Discuss your project details
We can sign NDA for complete secrecy
Submit a comprehensive project proposal with estimates, timelines, team composition, etc
Plavno has a team of experts that ready to start your project. Ask me!
Vitaly Kovalev
Sales Manager
