We bring frontier AI to everyday industry through software businesses already rely on. Partners contribute knowledge and data; we build agents for their customers and develop a recurring revenue stream through data licensing.
Explore domain-specific agents Data partnershipsRepairs, production runs, shipments, and professional decisions carry hard-won knowledge about how the world works.
Much of that work happens inside specialized software. Our focus is turning that domain knowledge into useful AI, in partnership with companies closest to it. People keeping businesses running deserve AI that understands their work.
Software for HVAC, plumbing, electrical work, and equipment maintenance records how teams diagnose faults, schedule technicians, and resolve jobs.
Work orders, equipment histories, and repair outcomes could support tasks such as troubleshooting or checking whether a proposed job has the right parts and skills.
Put your industry experience into tools that help customers plan repairs and support technicians.
Explore field operationsJob-shop, production-planning, and quality-management software captures how manufacturers quote work, allocate machines, and handle defects.
Routings, inspection results, and rework histories could support tasks such as planning a job within capacity or tracing a failed inspection to its cause.
Develop planning and troubleshooting tools around how your customers actually run production.
Explore manufacturingDispatch, freight, and warehouse software records constraints behind moving goods: timing, capacity, inventory, and service commitments.
Shipment events, exception histories, and delivery outcomes could support tasks such as resolving a missed pickup or reconciling an inventory discrepancy.
Help customers resolve disruptions and keep shipments moving, with their commercial information protected.
Explore logisticsAccounting, audit, and other specialist practice software brings together source documents, calculations, review notes, and approvals.
Reconciliations and documented corrections could support tasks such as matching a transaction to its source or finding missing support in a workpaper.
Give customers help with reconciliations and document review while respecting client confidentiality.
Explore professional servicesTwo ways to work together.
Start with one, or explore both.
Build a recurring revenue stream from data you have permission to share. We turn it into training material and environments for AI teams, find buyers, and share licensing revenue on agreed terms.
Bring frontier models closer to work your customers do every day. We train agents in environments built around your industry, then test them with your experts before you decide how to put them to work.
A partnership, not a takeover. You don’t need to sell your company or replace your product. We agree on data, permissions, commercial terms, and scope before work begins.
Training environments built
around industry workflows
Gaia connects industry expertise to useful AI. It turns approved data and workflows into practice environments where agents learn to do real jobs. That work supports two outcomes: agents for partners and licensed training material for AI teams.
Your team brings industry knowledge and data you can share. Together, we choose a job your customers need done.
Gaia turns that work into a practice environment, with the tools, records, and decisions an agent needs to learn.
We train an agent, test it on unfamiliar jobs, and review results with your experts. It practices away from live customer systems.
Bring tested agents to your business. License approved data and environments to AI teams, with revenue shared under your partnership agreement.
For model developers, AI product teams,
and enterprises training agents.
Source domain-specific data. Train against realistic workflows. Evaluate an agent before putting it to work.
Explore data and environmentsWhat a technical discussion should establish
Sample availability is confirmed during scoping. No buyer acceptance or performance is assumed.
No. A data partnership can be explored separately from an agent project. For agents, we agree on a task and evaluate results before deciding whether and how it should connect to your software.
Meaningful workflows, clear permissions, and a specific training or evaluation use case. Volume alone isn’t enough. We need to understand what your records capture, which outcomes can be checked, and what may actually be shared.
Whoever holds licensing rights or authority to grant them. Hosting customer data does not automatically give a software vendor the right to license it. Each project needs a defined rights review, agreed permitted uses, and appropriate privacy protections before data moves.
Data partnerships are designed around recurring licensing revenue, shared on agreed terms. Payments depend on buyer contracts and licensed use; sharing data alone does not guarantee income. Agent development and support are scoped separately.
We start with a conversation about your software, how customers use it, and what you want to achieve. If there’s a fit, we define a small, specific project: a task, required data, permissions, and how we’ll judge success. You don’t need to send customer records to start that conversation.
No. We won’t license your data to direct competitors or authorize its use to replicate your product. We agree with you on approved buyers and uses before sharing anything.
Yes. Tell us what the company does and why you think there’s a fit. A high-level introduction is enough to begin; please don’t send its confidential records. Make an introduction ↗
Tell us about your company,
your domain, or your next challenge.
Help build training environments, post-train agents, and test them on industry work. Tell us what you’ve built and what you want to tackle.
Let’s talk