TravoTech

AI solutions

From raw data to an actionable decision: every step versioned, with an eval gate before release.

A model that looks better in a demo is not necessarily better for the user. What separates the two is an evaluation set drawn from your own business, and a metric agreed before the experiment rather than after it.

We begin by naming the human decision being automated and what an error costs, then build an eval gate that compares each candidate against what is in production now — it does not pass unless it wins. After release we watch for drift by measurement, not by waiting for a complaint.

What you get

An eval gate before every release

A model ships only if it beats what is in production now.

It runs inside your cloud

Your data never leaves, and we ask for no standing access to it.

Every decision leaves a trace

You know why the model classified a case that way, not that it "came out that way".

Monitored after release

Silent drift is found by measurement, not by a complaint.

How we work

  1. 01Name the decisionWhich human decision we are automating, and what an error costs.
  2. 02Build the eval setExamples from your business, not from a public benchmark.
  3. 03Ship and monitorA gate before, and a drift dashboard after.

EVAL GATE

From a raw input to a decision

intent_pipeline - v3 EVAL 0.94
  1. RAW INPUTCustomer email - any language
  2. DECISIONInvoice dispute - to finance
  • RAG
  • NLP
  • Machine Learning

{ intent, confidence, assignee }

FAQ

Questions about this service

How long does an average project take?

Two weeks of discovery, three to fix the boundaries, then a production release every two weeks — the first in week eight.

Who owns the code?

You do, from day one. Code, infrastructure and documentation live in your accounts, not ours.

What happens after launch?

We take the pager: round-the-clock monitoring and alerting, and a written root-cause report within forty-eight hours of every incident.

Where do the systems run?

Inside your own cloud. We do not hold your data on infrastructure we own, and we do not ask for standing access to it.

CASE STUDIES

Our work in this area

Logistics

Shipment tracking platform

Challenge

Seven separate systems, each with a different definition of the word "delivered". Half of customer service's time went to one question: where is my shipment?

Solution

One definition of a shipment's lifecycle, and an event layer translating the seven systems into it — without replacing any of them.

Results

−64% in "where is my shipment?" calls within three months.

LIVEdashboard / tracking
142ms
P95
99.99%
UPTIME
18.4k
REQ/DAY
Fintech

Payments core migration

Challenge

An eleven-year-old payments core that closed for four hours every night to settle, and that nobody dared change.

Solution

A staged migration behind a switch: every transaction ran through both systems and was compared, until the new one became the record.

Results

Zero minutes of planned downtime, from four hours a night.

LIVEdashboard / payments
2.1M
TXN/MONTH
0
DOWNTIME MIN
11
LEGACY YEARS
Healthcare

Clinic scheduling engine

Challenge

Fourteen clinics and a paper appointment book. A third of appointments were missed, and nobody knew why.

Solution

One scheduling engine that reads each clinic's real capacity, and a reminder sent when the patient answers rather than when it suits us.

Results

−38% in missed appointments within one quarter.

LIVEdashboard / clinics
14
CLINICS
38%
NO-SHOW DROP
6.2k
BOOKINGS/MO

SERVICES

Other services

01

Custom business systems

When no off-the-shelf product fits how you work — a system that speaks your team's vocabulary, not a vendor's.

 Read more 02

AI solutions

From raw data to an actionable decision: every step versioned, with an eval gate before release.

 Read more 03

Automation and integration

Connecting what was never meant to connect, with written contracts and a delivery log that settles disputes.

 Read more 04

Cloud architecture and operations

Capacity proven by a published load test, and round-the-clock on-call after launch.

 Read more

Ready to start?

One free hour, and you leave with a scope, a cost range and a timeline.

Start the conversationSee our work