Custom AI solutions for small and medium businesses

Bespoke AI software, agents, copilots, and automation built on your stack and owned by you. Practical AI that ships in weeks, not quarters.

Types of systems SnowRock builds

• AI workflow automation for repetitive manual processes such as intake, triage, quoting, and reporting.
• Internal copilots that answer questions against a company's own documents and data.
• Agentic systems that carry a multi-step job from start to finish with human checkpoints.
• Bespoke web apps and internal tools that wrap those systems in something a team will actually use.
• Data pipelines and evaluation harnesses so the system can be measured rather than trusted on faith.

Delivery model

We build on the stack you already run. Typical components include your existing database, CRM, and document store, plus a frontier model chosen for the job. Everything is handed over with documentation and ownership.

Frequently asked questions

How much does custom AI software cost for a small business?

It depends on scope. A two week diagnostic is a small fixed engagement. A production build sized to a single high value process typically runs as a fixed price project inside a three month window. Contact SnowRock for a scoped figure.

Should a small business build or buy AI?

Buy when an off the shelf product already matches the process closely. Build when the process is the thing that makes the business different, or when no product fits the data. SnowRock's diagnostic makes that call explicitly for each use case.

What kind of AI systems does SnowRock build?

Custom systems for one company rather than products sold to many: internal copilots, document and email processing, quoting and intake automation, retrieval over your own records, and agents that act inside the tools your team already uses.

Do you build on OpenAI, Anthropic, or open models?

Whichever fits the job, and the choice is documented with reasoning. Model selection is driven by accuracy on your evaluation set, latency, cost per task, and where the data is allowed to go, not by a partnership.

Will the AI work with the software we already run?

That is the requirement, not an add-on. Systems are built on the stack you already pay for and integrate with the tools your team opens daily, so nothing depends on migrating platforms first.

How long before an AI system is live in production?

Two weeks to three months, depending on scope. A single automated job can be in production inside a month. Anything projected past three months usually means the scope should be split into smaller systems.

How do you prove the AI actually works?

With an evaluation set built from your own examples before launch. It defines what a correct output looks like, catches regressions when models or prompts change, and transfers to you at handover so you can keep testing after we leave.

Who owns the AI system after it ships?

You do. Code, prompts, model configuration, evaluation sets, and documentation transfer at handover. There is no SnowRock platform sitting in the middle that you have to keep paying for.