Custom Generative AI Models

Build enterprise-grade generative AI models that deliver accurate text, code, and document outputs while ensuring strong security, governance, and performance.

At Radiansys, we develop Custom Generative AI Models that learn from your domain data to produce precise, governed outputs for complex enterprise use cases.

Use LLMs, fine-tuning, and supervised training to build specialized models.

Support RAG systems, embeddings, and optimized retrieval pipelines.

Deploy secure architectures aligned with SOC2, HIPAA, GDPR, and ISO 27001.

Deliver high-performance inference across cloud, hybrid, and on-prem environments.

How We Implement Custom GenAI Models

At Radiansys, generative AI development is handled as a full engineering lifecycle. We design architectures that combine LLM fine-tuning, retrieval systems, supervised training, and safety-aligned inference pipelines. Our frameworks support data preparation, embeddings, vector search, evaluation loops, and continuous model improvementEvery deployment follows enterprise governance with encryption, RBAC/ABAC controls, auditing, and compliance aligned with SOC2, GDPR, HIPAA, and ISO 27001.

End-to-End Model Engineering

We architect custom generative models built around your domain data. This includes dataset curation, tokenization, prompt optimization, training, and validation. Our pipelines support LLaMA, GPT, Claude, Mistral, Falcon, and other enterprise models. Each system is engineered for reliability, accuracy, and long-term maintainability.

01

Fine-Tuning & Instruction Training

We fine-tune foundation models using supervised learning, preference optimization, and domain-specific instruction datasets. This ensures the model understands your terminology, workflows, and quality standards. Outputs become more consistent, contextual, and significantly more accurate than base models.

02

Retrieval-Augmented Generation (RAG)

We build RAG pipelines that combine embeddings, vector search, and real-time retrieval from enterprise knowledge sources. This enables grounded responses based on your internal documents, APIs, and databases. The system reduces hallucinations and ensures accuracy for support, analytics, and decision workflows.

03

Safety, Guardrails & Governance

Every model includes safety layers—content filtering, policy enforcement, structured prompting, and role-based access controls. We add audit logs, data redaction, and compliance checks to ensure regulated use. These mechanisms protect sensitive information and safeguard AI outputs across enterprise operations.

04

Multi-Agent & Workflow Orchestration

We design agent systems that break tasks into steps—research, reasoning, drafting, validation, and execution. Agents can call APIs, run tools, analyze documents, and complete complex workflows autonomously. These orchestrations help automate operations, analytics, finance processes, and cross-team workflows.

05

Evaluation, Monitoring & Drift Control

We maintain rigorous evaluation through test harnesses, benchmark datasets, qualitative review, and continuous scoring. Monitoring covers hallucination rates, retrieval performance, safety violations, and accuracy drift over time. Retraining workflows ensure models evolve with new data and changing business needs.

06

Use Cases

Document Understanding

Train models to summarize, classify, and extract insights from contracts, PDFs, reports, and unstructured text.

AI Assistants & Copilots

Deploy task-specific copilots for support, analytics, operations, engineering, or content workflows.

Knowledge Retrieval

Build RAG-powered systems that blend domain knowledge with real-time search for precise responses.

Code Generation

Enable AI-driven code suggestions, script automation, and development assistance aligned with internal standards.

Business Value

Higher Accuracy

Models trained on your domain data produce more relevant, reliable, and context-aware outputs.

Secure & Compliant

All systems follow enterprise-grade governance with encryption, audit logging, and RBAC/ABAC controls.

Reduced Manual Effort

Cut manual effort by up to 70% with automated summaries, responses, and document processing.

Future-Ready Foundation

Flexible architectures that support ongoing fine-tuning, scaling, and integration across enterprise apps.

FAQs

We work with GPT, Claude, LLaMA, Mistral, Falcon, and custom open-source architectures for enterprise use.

Your AI future starts now.

Partner with Radiansys to design, build, and scale AI solutions that create real business value.