Foundation Model as a Service (FMaaS)

Empowering Enterprises with Domain-Specialized, Fine-Tuned LLMs

Tridiagonal.ai: Your Partner in Foundation Model Development

At Tridiagonal.ai, we bring deep domain expertise in manufacturing, process industries, and industrial AI to ensure your foundation models are not just powerful, but practical and aligned with real-world operations. We help customers by:

• Identifying high-impact use cases through workshops with engineering, operations, and IT teams.
• Creating labeled, contextual training datasets using decades of plant, SAP, and SOP data.
• Fine-tuning LLMs using best-fit architectures and PEFT techniques for your infrastructure.
• Building agentic frameworks that emulate SME decision-making and drive frontline productivity.
• Ensuring value delivery with post-deployment support, model monitoring, and continuous feedback loops.

With our strong partner ecosystem and proven success in complex industrial environments, Tridiagonal.ai ensures your transition to foundation model-powered intelligence is smooth, scalable, and impactful.

Overview

Our Foundation Model as a Service (FMaaS) offering enables enterprises to harness the full power of Large Language Models (LLMs) by fine-tuning them on industry-specific data and workflows. Unlike generic AI solutions, FMaaS delivers domain-optimized intelligence that understands your data, systems, and operations—resulting in highly contextual and actionable outputs.

Core Capabilities

1. Domain Accelerators

• Data Ingestion & Parsing: Extract and preprocess structured and unstructured data from SAP, SOPs, operating manuals, time series, and other sources using OCR and custom parsers.
• Domain Contextualization: Incorporate process-specific semantics, terminologies, and hierarchies into the model training pipeline.
• Templated Tokenization & Configuration: Prepare efficient training datasets using pre-built tokenization templates and configuration standards.
• Training Pipeline (PEFT): Utilize Parameter-Efficient Fine-Tuning techniques like LoRA and QLoRA to reduce cost and optimize model performance with minimal GPU load.

2. Model Fine-Tuning

We support fine-tuning on top open-source foundation models such as:

• LLaMA 3 (Meta): Multi-purpose LLMs with large context windows.
• Mistral 7B / Mixtral: High-performance models optimized for latency-sensitive workloads.
• Falcon 40B: Suitable for document summarization and generative tasks.

Our infrastructure supports models trained on 2× A100 or 1× H100 GPUs, with flexible deployment on-prem or in the cloud.

3. LLM Deployment & Evaluation

• Evaluated on domain-specific benchmarks.
• Deployed via secure APIs for integration with enterprise systems.
• Connected to vector databases for semantic search and retrieval.
• Continuously improved through user feedback and system learning loops.

4. Model Inferencing & Application Delivery

• RAG/KAG Pipelines: Combine retrieval-augmented generation with knowledge graphs to deliver grounded, reliable responses.
• Knowledge Graph Delivery: Use ontologies to interlink enterprise knowledge for real-time decision support.
• Agentic AI Frameworks: Deploy task-specific agents that simulate expert decision-making using the foundation model backbone.
• Final Applications: Build custom workflows such as smart document assistants, process troubleshooting bots, or predictive advisory agents.

Recommended Infrastructure

• GPU: ≥ 1× A100 / H100 / RTX 4090
• CPU: ≥ 16 cores
• RAM: ≥ 128 GB
• Storage: ≥ 1TB NVMe SSD
• OS: Ubuntu 20.04 or 22.04

LLM Ecosystem & Capabilities

We collaborate with leading AI and infrastructure providers, including:

• NVIDIA
• DELL
• HuggingFace
• Mistral AI
• Meta
• Claude
• DeepSeek
• Neo4j
• AI21 Labs

—ensuring compatibility, performance, and innovation.

Why FMaaS?

• Built for enterprises with complex workflows
• Delivers contextualized AI for real-world decision-making
• Reduces deployment cost with efficient fine-tuning (PEFT)
• Enables ongoing learning and adaptation through user feedback

Tridiagonal.ai — Pioneers of AgentOps in Process Industry

World’s First Agentic AI Platform for Industrial Reasoning, Decision-Making & Execution

What is AgentOps?

AgentOps by Tridiagonal.ai is the first-of-its-kind industrial solution enabling human-like cognitive agents to autonomously analyze plant data, perform reasoning, and trigger actions. Think of it as your Digital Engineering Workforce — powered by AI agents that mimic domain experts in process engineering, maintenance, operations, and troubleshooting.

These multi-agent systems go far beyond traditional ML by combining:

• Data + Knowledge + Context + Goals
• Industrial physics + domain heuristics + generative knowledge

AgentOps isn't just AI — it’s AI that acts, thinks, and collaborates.

Agentic AI System: How It Works

Tridiagonal.ai’s AgentOps system is built on a multi-layered orchestration of AI agents:

• 🔹 Orchestrator Agent
  Coordinates tasks between sub-agents based on goals, prompts, and event triggers.
• 🔹 Specialized Agents
  Each expert agent handles a specific cognitive task — from SOP retrieval to RCA to scenario simulation:
  • Fault Analysis Agent
  • Process Optimization Agent
  • SOP Compliance Agent
  • Simulation/Prediction Agent
  • Knowledge Query Agent
• 🔹 KAG (Knowledge Augmented Generation) Core
  Multimodal LLM infused with:
  • Generative prompts (tree of thoughts, CoT, binary paths)
  • Domain constraints
  • 1st principle logic
  • ML + physics-based reasoning

Integration with Industrial Intelligence

AgentOps connects with your plant data ecosystem — enabling context-rich decision-making:

Real-World Applications

• CDU Preheat Section Optimization
• Compressor Predictive Maintenance
• What-If Process Scenario Analysis
• Energy Management
• Maintenance Workflow Automation
• Quality Deviation Root Cause Analysis (RCA)

These applications are agent-triggered, context-aware, and continuously learning.

Knowledge Accelerators Embedded

• AI/ML lifecycle agents
• Vibration & oil analysis interpreters
• Fouling, surge, or trip condition detectors
• SOP violation detectors
• What-if simulators and prescriptive planners

Industrial Tools Compatibility

• AspenTech, Honeywell, Siemens
• SAP PM/ECC/S4
• OSI PI, Ignition
• Azure/AWS Data Lakes
• Neo4j, Stardog, Amazon Neptune