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Solvar Tech

Custom AI assistants, hand-built around your data and tools.

Not a generic chatbot — a bespoke assistant grounded in your own knowledge, tone, and rules. Built and run by an operator who has shipped them inside real businesses.

Real builds, real numbers

What changes with an assistant built for you.

~$63K/week
added gross profit

A bespoke assistant built for one distributor’s quote desk reads inbound RFQs, decodes part numbers, and drafts quotes — hand-fitted to how that team actually works.

One
assistant, your playbook

Not a generic chatbot. Each build is grounded in your own documents, tone, and rules, so the answers sound like your team and stay inside your knowledge.

2–4 weeks
to a live build

A focused assistant ships in a month: week one scoping and access, weeks two–three build and test on your data, week four rollout and handover.

What we build

Bespoke, not boxed.

A small studio that builds the one assistant your team actually needs — grounded in your data, fitted to your workflow, handed over monitored.

See the detail

Custom AI assistants

Hand-built assistants grounded in your own data, tone, and rules — to draft, answer, and act inside the work your team already does.

Knowledge & support assistants

A first line that answers from your real documentation, refuses what it does not know, and hands off cleanly to a person when it should.

Internal tools

Small, sharp internal apps shaped around one team’s workflow — built to fit, not to make everyone learn another platform.

FAQ

Short answers to the usual questions.

How is this different from an off-the-shelf chatbot?
Off-the-shelf bots answer from the open internet. We build a bespoke assistant grounded only in your data, tone, and rules — so it sounds like your team and stays inside what it actually knows.
Do we need technical staff to run it after launch?
No. We hand over a monitored deployment with a small admin surface, stay on call for the first month, and offer ongoing support if you want it.
How do you keep it from making things up?
We constrain each assistant to grounded sources, have it refuse out-of-scope questions, and route low-confidence cases to a human. We test this before launch and monitor after.

Tell us what you would hand to an assistant.

A short call is enough to see where a bespoke assistant fits in your work and how fast it pays back.