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SLM-Works

Service

Agent orchestration for private AI

Pain

Models alone do not run a process. Production systems need retrieval, tools, policies, retries, and human handoffs - without chaining brittle one-off scripts or leaking data through unmanaged public APIs.

Outcome

SLM-Works orchestration sits as a coordination layer on top of the models you already run privately: SLMs for fast, repetitive steps and larger LLMs where breadth matters, wired to databases, APIs, and documents under your access rules.

Differentiator

We design orchestration that keeps your models, data, and workflows inside your boundary - no external dependencies, no surprise data egress, full auditability from prompt to action.

Model as brain, orchestration as system

Treat the model as the reasoning core, not the whole system. Orchestration supplies context (RAG), executes allowed actions, enforces guardrails, and records what happened for audit - not a black-box chat box.

Our orchestration layer connects multi-step workflows: agents, tools, schedules, and observability designed for teams that already invested in private models. It complements SLM-Works model delivery and does not replace your need for solid data and inference foundations.

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Architecture at a glance

Models provide reasoning; SLM-Works orchestration coordinates retrieval, tool calls, and logging. Your deployment diagram in contract documents may add VPC boundaries, identity providers, and data stores specific to your estate.

Example patterns

Illustrative only - feasibility and compliance depend on your data and policies.

Related SLM-Works services

From our insights

Frequently asked questions

Practical answers for technical buyers; validate resale, SLA, and capacity wording with legal and sales before public launch and paid campaigns.

Is orchestration a replacement for custom SLMs?
No. SLM-Works helps you build and run compact models; orchestration coordinates workflows on top of those models (and larger private LLMs when needed). Many customers use both; some adopt orchestration only after inference is stable.
Where does orchestration run?
Inside your boundary. VPC, on-prem, or dedicated cloud. Deployment topology is scoped during discovery to match your security and residency requirements.
Does orchestration include RAG?
Yes, as a pattern: connect approved corpora and tools so agents retrieve and cite with constraints you configure. Exact connectors and integrations are scoped per engagement.
Can we mix SLMs and LLMs in one workflow?
That is a core design goal: route simple steps to SLMs and reserve larger models for steps that need extra capability, with policies and logging across both - similar in spirit to hybrid routing on the SLM-Works services side.
Who sees prompts and tool outputs?
Access and retention follow the deployment you agree with SLM-Works and your security team. We design for zero data egress by default - use your NDA and DPA process for specifics.
How do we evaluate orchestration alongside an SLM PoC?
Start with SLM-Works for model and infra scope, then add an orchestration track when workflow automation is in scope. We align milestones so you are not blocked on unrelated workstreams.

Combine models, orchestration, and governance in one roadmap

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