LLMs, RAG & Custom AI Solutions

Multimodal AI That Understands Everything

Deploy foundation models that process text, images, video, and audio together. Build intelligent applications with GPT-4, Claude, Gemini, and Llama.

4+
Modalities Supported
100ms
RAG Retrieval Latency
99.9%
Uptime SLA
10+
Foundation Models

The Problem

Your Data Speaks Multiple Languages

Your business generates documents, images, recordings, videos, and structured data. Traditional AI treats each in isolation. Critical insights get lost in translation.

Off-the-shelf LLMs hallucinate. They don't know your products, your customers, or your domain. Generic chatbots frustrate users and damage trust.

The Solution

Deploy multimodal models grounded in your data. RAG pipelines ensure accuracy. Fine-tuning captures your domain expertise. Prompt engineering maximizes every interaction.

What Multimodal AI Handles

Documents, emails & structured text
Images, diagrams & visual content
Video analysis & understanding
Audio, speech & voice interfaces
Knowledge bases & enterprise data
Code generation & technical docs

Capabilities

What We Build With Foundation Models

From intelligent search to autonomous agents. We deploy the full spectrum of LLM capabilities.

RAG Pipelines

Ground LLM responses in your proprietary data. Vector search, hybrid retrieval, and real-time knowledge injection for accurate, domain-specific answers.

  • Vector database setup
  • Embedding optimization
  • Hybrid search strategies

Knowledge Bases

Transform unstructured documents into queryable intelligence. Ingest PDFs, wikis, Confluence, Notion, and custom data sources.

  • Document ingestion
  • Automatic chunking
  • Metadata extraction

Fine-Tuning

Adapt foundation models to your domain. Custom training on your data with full IP ownership and deployment flexibility.

  • Dataset preparation
  • LoRA & QLoRA training
  • Evaluation pipelines

Prompt Engineering

Maximize model performance through systematic prompt optimization. Chain-of-thought, few-shot learning, and structured outputs.

  • Prompt libraries
  • A/B testing frameworks
  • Output structuring

Multimodal Processing

Analyze images, transcribe audio, understand video. Build applications that reason across text, vision, and voice simultaneously.

  • Image understanding
  • Speech-to-text
  • Video analysis

LLM APIs & SDKs

Production-ready APIs for your applications. Load balancing, fallbacks, caching, and observability built in from day one.

  • Multi-provider routing
  • Semantic caching
  • Usage analytics

Use Cases

What Teams Build With Us

Real applications powering real business outcomes across industries.

Intelligent Customer Support

AI agents that understand your product docs, resolve tickets, and escalate intelligently. 24/7 support without the wait times.

Enterprise Knowledge Search

Find any document, policy, or procedure in natural language. Semantic search across Confluence, SharePoint, and internal wikis.

Document Processing & Extraction

Extract structured data from contracts, invoices, and forms. OCR + LLM pipelines that understand context, not just text.

Code Generation & Assistance

AI coding assistants trained on your codebase. Generate code that follows your patterns, uses your libraries, and passes your tests.

How It Works

From Concept to Production

A proven methodology for deploying foundation models that deliver real business value.

01

Discovery

Map your data sources, define use cases, and identify the right model architecture for your requirements.

02

Data Pipeline

Ingest, chunk, embed, and index your data. Build the retrieval infrastructure that grounds your LLM in facts.

03

Model Integration

Connect foundation models, optimize prompts, implement guardrails, and build evaluation pipelines.

04

Deploy & Iterate

Production deployment with monitoring, feedback loops, and continuous improvement based on real usage.

Foundation Models

Model-Agnostic Architecture

We help you select and deploy the right model for your use case. No vendor lock-in.

GPT-4
OpenAI
Claude
Anthropic
Gemini
Google
Llama
Meta
Mistral
Mistral AI
Custom
Fine-tuned

Why Choose Us

Enterprise-Ready AI Integration

Production-grade implementations, not demos. Security-first, compliance-ready.

Grounded in Your Data

RAG pipelines ensure responses are accurate and sourced from your knowledge bases. No hallucinations about your products or services.

Security & Compliance

SOC 2 compliant infrastructure. Private model deployments. Data never leaves your environment when required. HIPAA and GDPR ready.

Production Performance

Optimized for latency and throughput. Semantic caching, load balancing, and automatic fallbacks. Built for enterprise scale.

No Vendor Lock-In

Multi-model architecture lets you switch providers, use multiple models, and own your fine-tuned weights. Your AI, your way.

FAQ

Common Questions

What is a multimodal foundation model?

Multimodal models understand and generate content across text, images, video, and audio. They can analyze a screenshot, describe it in text, answer questions about it, and reason across different types of input simultaneously.

Which LLMs do you work with?

We work with all leading providers: OpenAI GPT-4/4o, Anthropic Claude, Google Gemini, Meta Llama, Mistral, and open-source alternatives. We help you select based on capability, cost, latency, and compliance requirements.

What is RAG and why do I need it?

RAG (Retrieval-Augmented Generation) grounds LLM responses in your data. Instead of relying on training data that may be outdated or generic, RAG retrieves relevant information from your knowledge bases in real-time. This dramatically reduces hallucinations and ensures domain-specific accuracy.

Can you fine-tune models on our data?

Yes. We offer end-to-end fine-tuning services: data preparation, training (LoRA, QLoRA, full fine-tuning), evaluation, and deployment. You own the resulting model weights with full IP rights.

How do you handle security and compliance?

We deploy with enterprise-grade security: SOC 2 compliant infrastructure, private model deployments, VPC isolation, encryption at rest and in transit. We support HIPAA, GDPR, and can work within your existing compliance frameworks.

Get Started

Ready to Deploy Multimodal AI?

Let's discuss your use case and architect the right solution. Get a custom roadmap for your AI project.

Start Your AI Project

Book a 30-minute technical consultation. We'll discuss your data, use cases, and the best approach for your multimodal AI implementation.

Schedule Your Consultation

No commitment. Get expert guidance on your AI strategy.

Prefer email? Reach us at info@euforic.io