Run your business differently, on AI we have already delivered.

Six things account for most of our work, because Trijet has delivered each of them more than once: knowledge search over your own documents, inbound mail processing, natural-language querying of your database, an AI quality harness that measures AI you already own, an agent platform, and private deployment inside your own perimeter. When your problem is one of these, the shape of the work and the date are known before anything starts — nobody is working them out for the first time on your budget. That is what the catalogue is for. It is not a list of what we are willing to take on.

Between one and thirteen weeks, depending on which item you start with. Inbound mail processing is typically one to three weeks; knowledge search, natural-language data queries and private deployment two to four; an AI quality harness two to three; an agent platform six to thirteen. Trijet names the date before the work starts rather than discovering it along the way. The shortest path to production so far was ten days.

Delivery starts from $30,000, fixed against a written specification — you agree the scope and the price before work begins, not after. Advisory starts from $3,000 and is bought in packages of hours. Work Trijet has done before is quoted straight away, because the estimate is not being made for the first time. Work it has not done before is scoped through advisory first, and priced the same way once the specification exists: written down before delivery starts rather than discovered while it runs.

Every system Trijet ships comes with automated evaluations that keep running after the engagement ends. You do not have to take anyone’s word for whether it is still doing the work — there is a number, and you can watch it. This is the whole argument: most AI bought by businesses has never been measured after the demo, and the person who signed for it has no way to find out.

Then we start with advisory rather than a quote. Trijet takes on work outside the catalogue — what changes is how it begins. Advisory starts at $3,000 in packages of hours: we go through the process with you, work out what building it would actually involve, and say what you would be able to measure once it exists. You see the cost and the shape of the work before committing to delivery, and you find out honestly whether it has been built before or is being worked out from scratch — because those are different purchases and you should know which one you are making. If we think it is not worth building, we will say that rather than sell it.

Yes. Trijet hosts its own infrastructure, observability and SSO, so deploying inside a client perimeter is a description of how the team already works rather than a promise about how it could. Private deployment is one of the six catalogue items, typically two to four weeks to production, and it exists because for some firms the data cannot leave the network at all.

No. Trijet holds neither certification and says so up front rather than in the third week of a procurement review. The team signs your NDA and your DPA, and deploys inside your infrastructure where that is what you need. If a certification is a hard requirement on your side, say so early and Trijet will tell you honestly whether there is a fit.

Client names are under NDA and are not published anywhere on this site. References are available on request, once there is a conversation worth making an introduction for. The public record is the delivery count: twelve client projects, seven of them running in production today, with LLMs in production since 2023.

One Trijet engineer embeds with your team, in your systems, on your data. Behind that engineer runs Trijet’s own AI delivery stack, which is why a single embedded engineer ships what a traditional integrator staffs with a team. The company builds and runs its own AI products with its own money, and has done for four years — the failures in that record are its own, not a client’s.