How to train an AI Multimodal LLM tailored for a specific industry or business
Training large models for general or specialized services involves multiple steps Including demand identification, planning and design, data collection and cleansing, model training &/ fine tuning, validation, model deployment and inferencing. Continuously and iteratively improve Multimodal LLM capabilities through real-time monitoring, close-loop feedback and fine tuning.
What capabilities does AI Multimodal LLM provide?
Gabe IO builds AI models designed for finance
Gabe IO builds custom AI models and agents designed specifically for finance—handling tasks like fraud detection, loan processing, and client support with security, accuracy, and speed.
⚙️ How It Works
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AI agents are deployed with:
- Secure, explainable decision logic
- Seamless integration into existing systems
- Industry-specific precision to reduce oversight
Instead of relying on generic AI, we fine-tune models on financial data and integrate them directly into your workflows. The result? Faster decisions, lower costs, and real ROI—without overhauling your existing systems.
Gabe IO helps law firms deploy custom legal AI
Combining fine-tuned LLMs with intelligent agents that automate contract review, case analysis, and compliance tasks. Unlike generic tools, our models are trained on your firm’s data for accuracy, speed, and security.
💡 How It Works
- Secure Deployment
Fine-Tuning & Customization
Agent Execution
By embedding domain-specific models into daily operations, Gabe IO helps firms automate tasks like contract review, NDA analysis, case summarization, and compliance tracking.
Gabe IO helps companies build secure LLMs
Unlike generic models, our custom LLMs are fine-tuned to your business using a 3-step process—continued pre-training, supervised fine-tuning, and reinforcement learning—ensuring accuracy, trust, and proprietary value.
🛠️ The Solution: Your Own Proprietary LLM
Gabe IO builds enterprise-grade LLMs customized to your business using a proven, secure process:
- Continued Pre-Training (CPT)
- Supervised Fine-Tuning (SFT)
- Reinforcement Learning (RLHF/DPO)
These models are not plug-ins—they’re proprietary, durable digital assets that improve over time.
Gabe IO transforms enterprises into Agentic organizations
Powered by AI agents that don’t just analyze but act across real-world systems. These agents are trained on your domain-specific data and fine-tuned to execute tasks securely, accurately, and at scale.
🏗️ Why It Works
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Key features:
- RAG pipelines for real-time data grounding
- Secure APIs for integration into existing tools
- Enterprise observability for full transparency and control
- Built with the NeMo-Agent Toolkit and full-stack optimization
These agents are in production—delivering ROI and accelerating time-to-decision today.