Where it fits in the ChordianAI platform

The Private SLM is part of ChordianAI’s Execution & Compute layer and is used transparently across core capabilities:

• AI Search – private semantic search and Q&A over internal documents

• Analyzer (Analyze First™) – blueprint generation, problem framing, summaries

• OptimizationOS – preparation, reasoning, and pre-optimization analysis

• Agents & Workflows – secure execution of intelligence and optimization agents

From a user perspective, the Private SLM appears as an execution option (e.g. “Private / Slim Model”).
All orchestration, security, and usage management is handled by ChordianAI.

How it works (high level)

1. Data stays under customer control
   Documents and datasets are processed securely within ChordianAI’s controlled execution environment.

2. Compressed Small Language Models are used
   Instead of large, general-purpose models, ChordianAI runs optimized, compressed SLMs that require far less memory and compute.

3. Inference without model training
   Customer data is used only for inference and retrieval — it is not used to train models.

4. Usage is metered transparently
   Compute consumption is tracked and billed via ChordianAI credits.

This design allows enterprises to use AI safely, efficiently, and predictably.

Why Private SLM instead of “just running a local LLM”?

While many organizations can technically run open-source models themselves, Private SLMs solve the real blockers:

• Lower infrastructure requirements
  Compressed models run on smaller instances and scale more efficiently.

• Enterprise-ready performance
  Optimized for search, analysis, summarization, and structured reasoning on real business data.

• Faster time to value
  No MLOps setup, model tuning, or infrastructure maintenance required.

• Integrated governance
  Access control, auditability, usage tracking, and policy enforcement are built in.

Key benefits for customers

• Data privacy & sovereignty
  Sensitive data does not need to be sent to public AI providers.

• Predictable cost structure
  Smaller models → lower inference cost → clear usage-based pricing.

• Low latency & high reliability
  Optimized runtimes deliver faster responses for day-to-day enterprise workloads.

• Seamless upgrade path
  Customers can later combine Private SLMs with larger models, hybrid compute, or advanced optimization — without changing workflows.

Who benefits most

Private SLMs are ideal for organizations that want to adopt AI but are constrained by risk, cost, or regulation:

• Healthcare & Life Sciences
  Clinical documentation, research summaries, regulatory intelligence.

• Financial Services & Insurance
  Policy analysis, reports, risk documentation, internal knowledge search.

• Public Sector & Government
  Secure document intelligence, regulatory search, internal analytics.

• Industrial, Energy & Infrastructure
  SOPs, maintenance logs, operational knowledge bases at scale.

• Enterprises with large internal datasets
  Where cost and performance matter more than generic “chatbot” capability.

Availability & pricing model

• Included in all paid ChordianAI plans

• Usage-based billing via credits

• Lower credit consumption compared to large cloud LLMs

• No separate contracts or vendors required

Positioning statement (internal & customer-facing)

ChordianAI Private SLM makes enterprise AI practical — secure by design, cost-efficient by default, and fully integrated into search, analysis, and optimization workflows.