Automation that runs on your infrastructure — not someone else's API key.
Strategic Data Solutions designs and deploys AI systems — knowledge pipelines, research agents, and workflow automation — built to run on servers you own, using data that never has to leave the building.
Four kinds of systems, one goal: less manual work.
Every engagement starts the same way — with a real workflow someone on your team repeats every day. Here's the shape those usually take.
Knowledge Pipelines
We turn scattered PDFs, wikis, and tickets into a searchable answer engine, so your team gets a straight answer instead of a folder to dig through.
Research & Reporting Agents
Agents that go research a topic on a schedule, then land a formatted report in Slack or your inbox before you've had your coffee.
Email & Workflow Automation
Agents that read, draft, route, and — with your approval built in — act on email and internal workflows, so the repetitive part stops landing on a person.
Custom Integrations & Ops
Whatever your team already runs — ticketing, docs, dashboards, chat — we wire the automation directly into it, then keep it running.
Your data doesn't leave the building.
Self-hosted by default
Models run on infrastructure you control, using tools like Ollama — not routed through a third party's cloud on every request.
No per-token surprises
Once a system is deployed, running it costs what your hardware costs — not a usage bill that scales with how much you rely on it.
Private by construction
Client data, internal docs, and email content stay inside systems you own. Nothing is sent anywhere to make the automation work.
Three stages. No fourth stage where it quietly stalls.
Assess
We sit down with the actual workflow — the inbox, the spreadsheet, the ticket queue — and find the specific step worth automating first.
Build
We stand up the pipeline or agent in a contained environment and test it against your real data before it ever touches production.
Operate
We deploy it on your infrastructure and stay on for monitoring and updates through an ongoing maintenance retainer — not a one-time handoff.
Dedicated team, hands-on AI consultancy.
Strategic Data Solutions is a dedicated, hands-on AI consultancy. We design and maintain self-hosted AI infrastructure — the same containers, local models, and pipelines we build for clients are the ones running our own systems.
That means when we tell you something works, it's because we've watched it run, not because it's in a sales deck. We keep engagements focused enough that the people who built your system are the people who answer when something needs attention.
# docker-compose.yml services: knowledge-pipeline: image: sds/rag-stack depends_on: [chromadb, ollama] research-agent: image: sds/reporting-agent schedule: "0 7 * * *" email-automation: image: sds/n8n-workflows restart: unless-stopped # status: running on client-owned infra
Common questions
It means the models and pipelines we build run on servers you own or lease — not on a third party's cloud API. Your documents, emails, and customer data are processed locally, and you're not paying a per-request fee to a model provider for every use.
No. Part of the Assess stage is figuring out what infrastructure actually fits your scale — that might be a single machine in your office or a small cloud instance. We size it to the workload, not the other way around.
Small and mid-sized teams with a repetitive, document-heavy, or inbox-heavy workflow — support, research, reporting, client onboarding — where a person is currently doing something a well-built system could do consistently.
Most clients move to a maintenance retainer — we monitor the system, handle updates, and adjust it as your workflow changes, so it stays reliable without needing an in-house engineer.
Tell us what's eating your team's time.
Describe the workflow, and we'll tell you honestly whether automation is the right fix — and roughly what it would take to build.