Private SLM: Secure, Compressed AI Execution
ChordianAI Private SLM is a secure, cost-efficient AI execution layer designed for enterprises that need to use AI on sensitive data without relying on large, public models. It enables customers to run compressed, small language models inside the ChordianAI platform, delivering strong performance while dramatically reducing compute cost, latency, and data-exposure risk.
Private SLMs are available in all paid ChordianAI plans and are billed based on usage.
Where It Fits in the 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
- Data stays under customer control — Documents and datasets are processed securely within ChordianAI’s controlled execution environment
- Compressed Small Language Models are used — Instead of large, general-purpose models, ChordianAI runs optimized, compressed SLMs that require far less memory and compute
- Inference without model training — Customer data is used only for inference and retrieval — it is not used to train models
- Usage is metered transparently — Compute consumption is tracked and billed via ChordianAI credits
Why Private SLM?
While many organizations can technically run open-source models themselves, Private SLMs solve the real blockers:
| Benefit | Description |
|---|---|
| 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
- 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 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
- 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
ChordianAI Private SLM makes enterprise AI practical — secure by design, cost-efficient by default, and fully integrated into search, analysis, and optimization workflows.