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AI Development & Integrations

Generative AI Solutions

Private GenAI, RAG, AI assistants, model integration, fine-tuning, and workflow automation.

Overview

Hexmon builds secure Generative AI systems, RAG platforms, knowledge assistants, and AI workflows that connect with your business systems, documents, and users.

Hero flow

Documents

Vector DB

LLM

Guardrails

API Layer

Assistant UI

Audit Logs

What we build

Generative AI Model Development

Custom model workflows, domain-specific AI behavior, validation, and deployment-ready AI capabilities.

GenAI Integration & Deployment

Integrate LLMs, APIs, RAG pipelines, and AI workflows into SaaS, CRM, CMS, ERP, or internal systems.

Generative AI Fine-Tuning

Tune models and workflows around proprietary data, tone, terminology, accuracy, and business context.

Private GPT-Like Systems

Controlled ChatGPT-like systems for teams that need data privacy, security, and custom behavior.

Custom Generative AI Solutions

Document automation, analytics, voice, vision, decision support, and workflow-driven GenAI systems.

GenAI Lifecycle Support

Monitoring, retraining, upgrades, cost optimization, security patches, and long-term AI ownership.

Capabilities

RAG pipelines

Private AI assistants

Document summarization

Knowledge search

Workflow automation

Model integration

Fine-tuning

Guardrails

Audit logs

Cost optimization

Built for

Internal AI assistants

Enterprise knowledge search

Document automation

Customer support automation

AI copilots

Private search

Compliance-sensitive AI

Workflow automation

Frequently asked questions

Can GenAI be deployed privately?

Yes. Hexmon can support cloud, private cloud, on-prem, hybrid, or air-gapped GenAI deployments depending on security requirements.

Do you use OpenAI or open-source models?

Hexmon can use hosted AI APIs, open-source models, fine-tuned models, or hybrid architecture based on data sensitivity, cost, performance, and compliance.

How do you reduce hallucinations?

We use retrieval-augmented generation, source grounding, evaluation, guardrails, prompt controls, and monitoring to improve reliability.

Can GenAI connect to CRM, ERP, or internal tools?

Yes. GenAI systems can connect to business systems through APIs, workflows, databases, and controlled access layers.

How do you control GenAI cost?

We optimize model choice, prompts, caching, retrieval, inference strategy, and monitoring to reduce unnecessary usage.

Private Gen Ai Architecture

Source Documents

Raw Enterprise Content Steps: PDFs Docs Manuals Internal knowledge

Ingestion / Parsing

Content Structuring Steps: OCR / extraction Chunking Metadata Cleaning

Embeddings

Semantic Encoding Steps: Vector generation Semantic mapping Representation Indexing prep

Vector Store

Knowledge Index Steps: Similarity search Knowledge base Private storage Indexing

Retrieval Layer

Relevant Context Steps: Query matching Relevant chunks Contextual fetch Source recall

Prompt Orchestration

Instruction Assembly Steps: Prompt templates Role instructions Tool calling Response shaping

LLM Engine

Generation Core Steps: Inference Reasoning Completion Answer generation

Guardrails

Safety & Policy Steps: Moderation Access policies Output filtering Compliance checks

User Application

End-user Access Steps: Chat interface Enterprise portal API delivery Business workflows

Let’s build something that works.

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