AI tools your firm controls.

We build AI tools for professional services firms. The AI products most firms license weren't built for how your people actually work, so they go unused. We bring the work into one place to start, with real tools and agents built around how you work. All of it runs in your own cloud or on your own servers, with every run logged.

An example of how a request moves through the orchestration layer.

From the founder of Quartz IP. Quartz IP serves 5 of the top 10 US patent filing firms.

Runs in your cloud or on site. Your own cloud environment, or servers in your own office, under the permissions you already manage.

Billed on time and materials. Built and supported from Essex Junction, Vermont.

Built for professional services firms

Your work runs on documents, deadlines and review. That's where we start.

LawDrafts checked before they go out. Documents found across matters, all of them.
Accounting and taxClient documents sorted as they arrive. Workpapers named and filed the same way every time.
Consulting and advisoryReports reviewed against your house style. Past work found when a new proposal starts.
Engineering and architectureThe right drawing set and spec, found fast. Meeting notes written for the project file.
Vermont companiesThe tools you already use, connected so the routine work stops landing on your desk. Our Vermont work

The AI tools you already pay for weren't built for the way your team works.

So they sit unused, or people work around them. Every new product adds another login, another vendor and another thing to learn.

Built for everyone

General tools don't know your templates, your clients or how your work gets reviewed.

Scattered across products

A chat tool here, an add-in there. Nobody's sure which one to use for what.

Hard to see the return

Licenses renew whether people use them or not, and usage is hard to trace to real work.

Models change every quarter

And every change means retraining people on a new tool.

One place to start. Real tools behind it.

People don't adopt AI because it's clever. They adopt it when it fits the work in front of them.

So instead of another chatbot, your team gets one entry point. Open it from the apps you already use or your intranet, pick the task, and the right tool or agent does the work, with your templates, rules and permissions already built in.

New tools appear in the same place as we add them. Nobody learns a new product every quarter.

One layer between your people and the models.

Every tool runs through the same orchestration layer. It decides which model handles a task, checks permissions, applies usage limits and logs what happened. When a better model comes out, we swap it in. Your people don't notice.

One place to startYour office appsIntranet pageShared folder

Your data

Document management and file shares

Scans, exports and attachments

Client and project numbering

Your firm's procedures

Orchestration

Picks the right model for the task

Checks who can see what

Applies per-person usage limits

Logs every run for review

Models

Chosen per task, by cost and quality

Hosted in your cloud or on your own hardware

Swapped as better ones arrive

Limited to the providers you approve

Your security stack, around all of itSign-in and permissions. Information barriers. Data-loss rules. Logs and alerts in the monitoring you already run.

How we handle your data

How an engagement runs

We start small, with one workflow your team will use next week. Then we build out from there.

Work is billed on time and materials. We'll talk through rates once we understand the job.

Our approach and billing

  1. Discovery

    We sit with the people doing the work and map the systems, data and rules involved.

  2. First workflow

    One tool, on real work, with your IT team watching how it behaves.

  3. Build out

    Add tools on the same orchestration layer, so each one costs less to add than the last.

  4. Support

    We maintain what we build and keep it working as models and your systems change.

What does your team still do by hand?

Tell us about one task. We'll tell you whether it's worth building, or whether something you already license will do it.

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