AI built for your business.On your terms.
We build AI assistants, agents, and tools around how your team actually works, connected to your documents and systems. When data can't leave your control, we run it privately on your own servers or private cloud.
Generic AI tools don't know your business. They can't see your files, don't follow your process, and for many companies, sending data to them isn't allowed at all. Custom AI fixes both problems.
From one assistant to a full AI platform.
Start with one high-value use case, prove the time saved, then expand.
Knowledge assistants
Ask questions of your policies, contracts, manuals, and past work, with answers that cite the source.
Drafting and documents
Proposals, reports, emails, and summaries in your company's voice, using your templates and pricing.
AI agents
Multi-step tasks like qualifying leads, triaging requests, or preparing quotes, with a person approving the important steps.
Private AI deployment
Models running on your servers or private cloud. Nothing goes to a public AI service unless you allow it.
Access and governance
Single sign-on, role-based permissions, and audit logs that match your compliance requirements.
Training and support
Rollout, team training, monitoring, and ongoing tuning as models improve and your needs change.
Start small. Prove it. Scale.
AI projects fail when they start too big. Ours start with one measurable win.
Discover
We find the tasks where AI saves the most time, and note any security or compliance limits.
Pilot
A working assistant for one team and one set of documents, measured against real work.
Deploy
Roll out on public cloud or privately on your infrastructure, with sign-on and permissions.
Improve
Usage reviews, new data sources, new use cases, and model upgrades over time.
Everything needed to actually use it.
Included
- Use-case discovery workshop
- Pilot with measured results
- Connection to your documents and systems
- Choice of public cloud or private deployment
- On-premises, private cloud, or air-gapped options
- Single sign-on and permissions
- Audit logging
- Answers that cite their sources
- Team training and rollout
- Ongoing support and tuning
A good fit if…
- Your team spends hours searching, reading, or writing documents
- Client contracts or regulations keep you off public AI tools
- You want AI adopted company-wide, not on personal accounts
- You'd rather own your AI setup than rent a black box
Straight answers.
What's the difference between custom AI and private AI?
Custom AI means a tool built for your workflow and connected to your data. Private AI means where it runs: on your own servers or private cloud, so data never goes to a public AI provider. You can have custom AI on public cloud, or custom AI deployed privately. We help you choose.
Is a private AI model as good as ChatGPT?
For most everyday business work, like drafting, summarizing, and answering questions from your documents, today's open-weight models are very capable. The largest public models still lead on some hard reasoning tasks, so we test on your real work during the pilot.
Will our data be used to train someone else's model?
Not with a private deployment: the model runs in your environment and your data stays there. For public cloud deployments we use business terms that exclude training on your data, and we'll walk you through exactly where data goes.
What do we need to run private AI?
Either a server with suitable GPUs, a private cloud account (AWS, Azure, or Google Cloud), or both. We'll size it to your usage and can advise on hardware.
How long until our team can use it?
A focused pilot is usually a matter of weeks, depending on how many systems it connects to and your security review. Company-wide rollout follows once the pilot proves its value.
Put AI to work.
Keep control of your data.
Tell us what your team spends the most time on, and any limits on where data can go.