GoodWork turns enterprise data into reliable AI systems that decide and act in production. Built, run and improved by our team.
Getting a model to answer a question is easy. Getting it to make the right call on your data, every time, and act on it inside your systems is where most AI projects stall.
Every GoodWork harness is tailored to your business by our team, then continuously tested and optimized. Our team reviews every outcome, and our tooling finds failures, improves performance and routes each task to the most cost-effective model that meets the bar.
SignalRx, a healthcare intelligence company spun out of GoodWork, runs on our harness. Its platform turns millions of records and continuous research into reliable, actionable intelligence, delivered directly into the systems sales teams already use.
Anonymized examples from harnesses we’ve built.
It’s everything around the model that turns your data into finished work, delivered as a service. We build it around your business, run it in production and stay accountable for the outcome, so your team gets results, not a system to maintain.
Every GoodWork harness runs on the same foundation: pipelines that clean, match and resolve your records; continuous research across third-party data sets, the web and social media; rules built from your data; routing across models and providers; evals and judges on every step; and metering on every call. Results arrive by API or land directly in your CRM, queues and warehouse.
Think of GoodWork as your dedicated AI engineering and operations team, running on infrastructure we’ve already built. You don’t license a tool or staff a project. You get a harness built for your business, operated by our team and paid on usage.
Repeatable, data-intensive business processes where AI needs to make reliable decisions and take action in production. Common applications include customer intelligence, research, data reconciliation, classification, routing, and operational workflows that span several of your systems.
If a process runs on a lot of data, follows rules your experts could write down, and lands in a system your team already uses, it’s likely a good fit.
You can, and most teams start there. It works in a demo and drifts in production: answers vary, records conflict, nobody can audit a decision, and costs grow with every call.
A harness keeps the benefit of AI while making every decision consistent, validated against your rules and explainable, built around the edge cases of your business.
We built the tooling for evals, judging, prompt and model optimization, and routing, so every harness is tested, tuned and routed automatically instead of by hand.
That's why a new harness goes live in weeks, and why each step runs on the least expensive model that meets the bar.
We agree up front on what a good outcome looks like, then measure accuracy, reliability and cost on every change. Every failure is tagged to where it happened, so we fix the most costly ones first, and every change is measured before and after it ships.
A platform fee plus usage based on the work your harness performs. We define the unit of work together, so pricing is predictable and tied to business value rather than model tokens.
That's normal. The harness is built to map your data as it is, resolve inconsistencies, fill gaps from research, and keep track of which source to trust when sources disagree.
Tell us what you’re trying to automate, improve or bring into production. We’ll show you where a GoodWork harness can deliver the most value.