Custom AI agents

Custom AI agents, built for your workflow

We design an agent around one of your real workflows, connect it to the systems it needs, and run it on your own servers with your team approving the steps that matter.

Is it a fit?

Work that suits an AI agent

An agent is software that reads, decides and acts on a task the way a trained assistant would, following a defined process and using only the tools you give it. It works best when three things are true.

Repetitive, rule-based, text-heavy

The work follows a known process, mostly involves reading and writing, and a trained person could explain the rules in an afternoon.

Data that cannot leave

Contracts, patient or client records, financial data or internal documents that you cannot send to an outside AI provider.

A person who owns the result

Someone on your team already checks this work today and can approve, correct or reject what the agent produces.

Typical teams
  • Legal
  • Financial services
  • Healthcare
  • Industrial
  • Professional services
  • Startups
Workflows

What agents take off your team

The agent takes the first pass. A person checks the result before it counts.

  • Customer emails and support tickets

    Drafted replies, sorted by priority, sent after review.

  • Document search

    Answers drawn from your own files, with the source shown.

  • Contract and compliance checks

    Key clauses and missing items flagged for a reviewer.

  • Report drafting

    First drafts assembled from your data, ready for edits.

  • Invoice processing and data entry

    Fields extracted and checked before anything is saved.

  • Internal helpdesk

    Staff questions answered from your policies and runbooks.

Integrations

Connected to the systems you already use

Agents read from and write to your existing tools, inside your network.

Documents

PDF and Word files, shared drives and document stores.

Databases

SQL databases and CRM systems.

Internal APIs

REST endpoints and webhooks from your existing tools.

Tickets and mail

Shared inboxes and helpdesk queues.

Data and control

Private by default, supervised by your team

Runs inside your firewall

Agents and AI models run on hardware you own or control. Nothing is sent to an outside AI provider unless you decide it should be.

Only the access you grant

Each agent gets only the tools and data you allow. Riskier jobs run in isolated sandboxes (rootless Podman containers).

People approve what matters

Every action is logged. Your team sees what an agent did and why, and can approve, edit or stop it at any step.

Open models you can switch

Current open-weight models such as Qwen, DeepSeek, Gemma and GLM, sized to your hardware. You can change models later without rebuilding workflows.

What you get today

An honest view of where things stand

Every agent runs on LychD, the open-source agent platform we build and maintain. LychD itself is pre-alpha: it runs on loopback for a single user, and its install path does not yet work end to end. That is why client work is delivered as a supervised engagement. Snayu engineers install, configure and run the agent on your hardware, and the statement of work spells out what is in scope today and what is still on the roadmap.

The custom agents, code and workflows we build for you are yours, unless your signed agreement says otherwise. The LychD core stays open source under the Mozilla Public License 2.0, so it can always be inspected.

Get started

Hand your first workflow to an AI agent, on hardware you own.

Tell us where work stalls, repeats or loses context. We will scope one workflow, run an agent beside your team on your own hardware, and show you in numbers what it is worth.