We build from a catalogue.
Our work comes from a list of things we have delivered several times. If your problem is on it, you know what happens and when. If it isn’t, we say so — we don’t research at your expense.
AI systems for professional firms
Run your business differently, on AI we have already delivered.
The system your firm needs next is one we have already delivered elsewhere — in production on a date we name before we start, and still measured after we leave.
- client projects delivered
- 12client projects delivered
- running in production today
- 7running in production today
- our shortest path to production
- 10daysour shortest path to production
- LLMs in production since
- 2023LLMs in production since
01 / The problem
Most AI in business has never been measured
Someone approved the budget. Someone ran the demo. And then it went quiet.
Nobody lied. It is simply that almost nothing in this market gets checked after it ships — so the person who signed is left alone with a question nobody answers: is this actually doing the work?
Ask your AI vendor for the last measurement. Not the demo — the measurement.
02 / How we work
Predictable, because we've done it before
We measure what we ship.
Every system comes with automated evaluations that keep running after we leave. You don’t take our word for it; you watch the number.
We start small and finish.
One process, in production, then the next.
We work inside your operation.
One of our engineers embeds with your team, in your systems, on your data. Behind them runs our AI delivery stack — which is why one embedded engineer ships what a traditional integrator staffs with a team.
03 / What we build
Six things we have built more than once
Each one has been delivered before. The typical time to production is what we commit to, not an estimate we discover on your budget.
01
Knowledge search
Answers from your own documents, with the source attached.
2–4weeksto production
02
Inbound mail processing
Incoming mail read, classified and routed before anyone opens it.
1–3weeksto production
03
Ask your data
Query your database in plain English, with a safety layer on every request.
2–4weeksto production
04
AI quality harness
Find out whether the AI you already own still works — and keep knowing.
2–3weeksto production
05
Agent platform
Adding an agent becomes a form to fill, not a ticket for an engineer.
6–13weeksto production
06
Private deployment
Runs inside your perimeter, with full observability.
2–4weeksto production
Not on the list? We'll tell you honestly — that would be a research project, and you'd be paying for our learning.
from $30kdelivery, fixed against a written spec
from $3kadvisory, in packages of hours
04 / Where to start
Find your starting point
Two questions, answered here on the page. Nothing is sent anywhere, and there is no form to fill in first.
Question 1Question 2Your start
Which of these sounds like your week?
Your answers stay in this browser tab until you send them to us.
05 / Proof
What that looks like in practice
10days
from first commit to production
Knowledge search agent
A search agent over a company's internal knowledge base.
- Three engineers, 862 commits
- Shipped with an automated evaluation suite and an LLM judge, still running
5weeks
one engineer, inside somebody else’s codebase
Quality subsystem, UK commodity trading firm
We were asked to make an extraction pipeline measurable — inside somebody else’s production codebase.
- The client kept the code and the measurements
8days
two people, tests and documentation included
Payment and delivery reconciliation
A pipeline matching incoming payments against deliveries.
- Delivered with tests and documentation
Client names are under NDA. Twelve client projects, seven of them running in production today. References available on request.
06 / Why us
We have been on your side of the table
We build and run our own AI products — with our own money, our own failures, and four years of them documented.
We have had LLMs in production since 2023. We host our own infrastructure, our own observability, our own SSO — which is why “we’ll deploy inside your perimeter” is a description of how we already work, not a promise.
And we measure our own AI harder than most companies measure the AI they bought.
- Our own money, our own failures
- LLMs in production since 2023
- Our infrastructure, observability and SSO
- Evaluation suites on our own consumer product
07 / Partners
Partners
Products we build and run with our partners.
PlancyAI Memos
Voice in, tasks out. iOS and Android.
PlancyAI Manager
An agent between a person and the task tracker, with a full audit trail. Deploys on-premise, SSO.
08 / Security & data
Your data, your perimeter
We deploy inside your infrastructure when you need us to — that is how we run our own systems.
We sign your NDA and your DPA.
We do not hold SOC 2 or ISO 27001 certification. If that is a requirement for you, tell us early and we’ll say honestly whether we’re a fit.
09 / Team
Team
20 years in industry, at the front edge of the technology each time.
Ilya Melnikov
CEO, Lead of AI
Andrei Mochalov
CTO, Lead of development and security
10 / Contact
Start with one thing
Tell us the process that annoys you most. If it's something we've built before, we'll say so — with a date. If it isn't, we'll say that too.
30 minutes, in your calendar.
Book a callOr write to us
takeoff@trijet.tech