Your data stays yours
Documents, customer records and conversations stay on your own servers. Nothing is sent to an outside AI provider unless you decide it should be.
Pilots Prove it on one real workflow before you commit Private AI agents for your business AI agents that do real work,
AI agents that do real work,
on hardware you own
Snayu designs and deploys custom AI agents that take repetitive work off your team, from answering requests to reviewing documents. Everything runs on your own servers, so your data never leaves your control.
Your hardware · inside your firewall
synced DocumentsPDF · Word
synced DatabasesSQL · CRM
synced Internal APIsREST · webhooks
synced Tickets & mailInbox · helpdesk
loaded Business contextProcess · memory
running
Your agents private · on-site enforced GuardrailsAccess · review
done AnswersDrafted replies
done ReportsReady to send
done TriageBy priority
done Follow-upsSent on time
Finished work, checked by your team
What we do
Three ways we help you put AI to work
Custom AI built around how your business already runs, and deployed where your data already lives.
Custom solutions
AI agents built around your work
We design agents for the work that slows your team down, like answering requests, reading documents or preparing reports, and deploy them on your own servers.
About custom agents PilotsStart small with a pilot project
We pick one real workflow, agree how success is measured, and run the agent beside your team before you commit to more.
See the pilot plan EngineeringEngineering help for your team
Contract engineering in Python, Rust, Go, PostgreSQL, SvelteKit and GPU inference, from a single engineer to a dedicated team.
See servicesBuilt for teams with confidential data
- Legal
- Financial services
- Healthcare
- Industrial
- Professional services
- Startups
Use cases
Work your team can hand to an agent
If a task is repetitive, follows rules and lives in text, an agent can usually take the first pass, with a person checking the result.
Agent queue 0 / 12 handled
- Customer emails
- Support tickets
- Document search
- Report drafting
- Contract review
- Invoice processing
- CRM updates
- Meeting notes
- Compliance checks
- Employee onboarding
- Data entry and checks
- Internal helpdesk
Why businesses work with Snayu
Most AI tools ask you to send your data to someone else's cloud. We bring the AI to your data instead, and build it around how your team already works.
You stay in control
Every agent follows a defined process. Each action is logged, and a person on your team approves the steps that matter.
Built for you, owned by you
The custom agents and code we build around your workflow belong to you under your contract. Underneath is LychD, our open-source platform, so there is no black box.
How it works
Every step is clear, logged and reviewable
Instead of a chatbot guessing what to do next, each agent follows a mapped process. Every step has a clear input and output, and a person can pause, approve or correct it.
- Always on, not a chat window
Agents run as a service on your servers and keep working in the background, overnight and on long jobs.
- Remembers your business
Context, past decisions and documents are stored securely, so agents build on what they learned instead of starting from zero.
- Your choice of AI model
Leading open models such as Qwen, DeepSeek, Gemma and GLM run on your own hardware, and you can switch models later without rebuilding your workflows.
- A dashboard for your team
See what each agent did and why, and approve, edit or stop it at any step.
- Strict permissions
Each agent gets only the tools and data you allow. Riskier jobs run in isolated sandboxes.
Every Snayu solution runs on LychD, the open-source agent platform we build and maintain.
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Pilot projects
One workflow. Fixed scope. A clear answer.
No multi-year roadmap and no slide decks. We prove value on one real process, on your hardware, against success criteria we agree with you up front.
- 01 Scope
Map one workflow
Together we pick one slow or repetitive process, agree the success criteria, and set what the agent may read, do and never touch.
- 02 Build
Set up on your hardware
We install the platform on your servers, choose the right open AI model and build the agent around your process.
- 03 Run
Work beside your team
The agent works alongside your people, not instead of them. We measure time saved, error rates and review effort.
- 04 Review
Results and handoff
You get the working system, its logs, training for your team and a written report on whether to scale it.
Paid work runs under an MSA and SOW, governed by Indian law.
Services
Engineering help, from the people who build the platform
Applied AI services
For teams that want AI agents running on their own infrastructure.
- Custom agents designed for your processes
- Hardware sizing and on-site deployment
- Ongoing support, monitoring and improvements
Engineering outsourcing
For startups and international teams that need engineering capacity.
- Python / Litestar, Rust and Go backends
- PostgreSQL, SvelteKit and GPU inference work
- Dedicated teams, with the client owning all IP
Hardware profiles
Start on a workstation. Grow into a cluster.
GPU memory 24–64 GB
Model size up to ~35B
Workstation
1–2 × RTX 3090 / 4090 / 5090One desk, one team. The easiest way to start.
Suitable for
- Qwen3.8 27B
- Gemma 4 31B
- Qwen3.6 35B-A3B
GPU memory 96–256 GB
Model size up to ~300B
Private cluster
4–8 × RTX 4090 / 5090A shared rack for a department or a whole office.
Suitable for
- DeepSeek V4 Flash
- gpt-oss-120b
- Qwen3.5 122B-A10B
GPU memory 1.1–1.5 TB / node
Model size 700B+ MoE
Data centre
DGX H200 / B200 / GB200Data-centre hardware for frontier-size models and many users.
Suitable for
- DeepSeek V4 Pro
- GLM-5.3
- Kimi K3
Models listed are current open-weight examples (October 2026) that fit each tier. We help you size hardware for your workload and test which model fits it best. Most pilots start on a single workstation with NVIDIA GPUs.
FAQ
Questions clients ask us first
What is an AI agent, in plain terms?
A piece of software that can read, decide and act on a task the way a trained assistant would: sorting an inbox, finding the right clause in a contract, filling in a report. Unlike a chatbot, it follows a defined process and can use the tools you give it.
Does our data leave our network?
No. The agents and the AI models run on hardware you own or control, inside your firewall. Your documents and records are not sent to an outside AI provider unless you explicitly choose to connect one.
Which tasks are a good fit?
Work that is repetitive, rule-based and text-heavy: customer emails, support tickets, document search, report drafting, contract and compliance checks, data entry and internal helpdesk questions. The pilot starts with the one that costs your team the most time.
Will the agents replace our staff?
They take the repetitive part of the job off your team. People stay in charge: they approve the steps that matter, can correct any decision, and every action is logged.
What hardware do we need?
Most pilots start on a single workstation with one or two modern NVIDIA GPUs, which comfortably runs current open models such as Qwen3.8 27B or Gemma 4 31B. Larger teams move to a small private cluster that can run models like DeepSeek V4 Flash. We help you size and set it up.
Who owns the solution?
You do. Unless your signed agreement says otherwise, you own the custom code, workflows and other work we create for you. The platform underneath, LychD, stays open source under the Mozilla Public License 2.0, so its core can always be inspected. Tools we built before your project remain ours, and your agreement sets out how you can use them.
How do we get started?
Book a pilot project. We map one workflow with you, agree how success is measured, build and run the agent on your hardware, and give you a written report on whether it is worth scaling. Scope and timeline are fixed in writing before any work starts.
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.