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Large Language Model Development Services

Custom LLM Development

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.

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LLM Development Solutions

Develop Diverse LLM Solutions for Your Business

Enterprise AI Assistants
Enterprise AI Assistants

Enterprise AI Assistants

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

RAG-Based Knowledge Systems
RAG-Based Knowledge Systems

RAG-Based Knowledge Systems

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

LLM-Powered Workflow Automation
LLM-Powered Workflow Automation

LLM-Powered Workflow Automation

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

Custom LLM Applications
Custom LLM Applications

Custom LLM Applications

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

Private LLM Deployment
Private LLM Deployment

Private LLM Deployment

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

LLM Fine-Tuning and Optimization
LLM Fine-Tuning and Optimization

LLM Fine-Tuning and Optimization

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

AI Model Integration
AI Model Integration

AI Model Integration

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

LLM Governance and Evaluation
LLM Governance and Evaluation

LLM Governance and Evaluation

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

Eugene Katovich

Sales Manager

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your product with us

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.

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Case Study

Our Latest LLM Projects

AI Voice Agent for Legal Intake and Client Call Handling in Law Firms

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.

Read More
99.9%+

reliability targets

AI Voice Agent for Legal Intake and Client Call Handling in Law Firms

AI Customer Success Copilot for Churn Prediction, Renewals & Account Intelligence

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.

Read More
60–70%

reduction in manual account review work

AI Customer Success Copilot for Churn Prediction, Renewals & Account Intelligence

Whom We Serve

Our LLM solutions are suited for

Enterprises with large internal knowledge bases
SaaS companies adding AI features
Healthcare and MedTech organizations
FinTech and banking teams
LegalTech and document-heavy businesses
Customer support and operations teams

Benefits

The core benefits
of custom LLM development

  • 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.

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The core benefits
of custom <span>LLM development</span>
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Security Measures

Compliance and Security Essentials

Data Privacy and Governance

Data Privacy and Governance

We design LLM systems with strict data access rules, encryption, logging, and privacy controls to protect sensitive business information.

Identity and Access Management

Identity and Access Management

We implement role-based access, authentication, permissions, and user-level controls for secure AI usage across teams.

Monitoring and Audit Logs

Monitoring and Audit Logs

We configure monitoring, usage tracking, prompt logging, and audit trails to support transparency and enterprise governance.

Security Testing and Risk Validation

Security Testing and Risk Validation

We test LLM systems for vulnerabilities, unsafe outputs, prompt injection risks, and integration weaknesses before launch.

Advanced Tech

Advanced AI Tech to Power Your LLM Software

Large Language Models

Large Language Models

Power natural language understanding, generation, summarization, classification, and reasoning-based automation.

Vector Databases

Vector Databases

Enable semantic search, document retrieval, and context-aware responses across enterprise knowledge bases.

Retrieval-Augmented Generation

Retrieval-Augmented Generation

Improves answer accuracy by connecting LLMs to verified internal data sources and documents.

Cloud and MLOps

Cloud and MLOps

Supports scalable deployment, model monitoring, version control, and reliable infrastructure for production AI systems.

AI Guardrails

AI Guardrails

Helps control model behavior, reduce hallucinations, protect sensitive data, and enforce business rules.

Frequently Asked Questions

FAQs

Find answers to your common concerns

What is LLM development?

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.

Can Plavno build a custom LLM solution for my business?

Yes. Plavno designs custom LLM systems around your data, workflows, users, compliance requirements, and business goals.

Do we need to train our own model from scratch?

Not always. In many cases, integration, RAG, fine-tuning, or private deployment of existing models is more efficient than training a model from zero.

How do we get started with LLM development?

Share your business goals, data sources, and target workflows. Plavno will help define the architecture, model strategy, timeline, and development roadmap.

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Vitaly Kovalev

Vitaly Kovalev

Sales Manager

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