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AI ENGINEERING FOR SERVICE OPERATIONS

Make the work run itself.

We build, run and improve the software that connects your people and systems, one workflow at a time.

Book a call Explore the work

For multi-site B2B service operators.

$30,000/month · 3-month initial engagement15-minute introductory call · no charge

Selected engineering experience

HeartSciencesGigsterWorld Gold Council VodafoneSngularFox
Read the evidence

ILLUSTRATIVE WORKFLOW

See the handoff, decision and next step.

Follow one request from intake to a reviewed action. This is an example, not a customer result.

The handoff, made visibleIllustrative workflow
Clinical intelligence

Turn ECG analysis into clinical action.

  1. ECG receivedWaveform and study details checked
    Validated
  2. AI analysis completeModels add findings to the study
    Analyzed
  3. Doctor reviewsConfirm or correct the interpretation
    Human review
  4. Report releasedSigned result returns to the care team
    After sign-off
Clinicians keep the final say

Doctors can correct AI findings.

Network optimization

Optimize global roaming traffic.

  1. Partner routes rankedAI weighs demand, cost, quality and terms
    Ranked
  2. Operator confirmsKeep the ranking or change a partner
    Human review
  3. Traffic routedBest eligible partner selected automatically
    After review
  4. Performance monitoredNew conditions trigger the next ranking
    Continuous
Human override stays available

Operators can change the partner.

Investment operations

Execute the strategy. Escalate the risk.

  1. Portfolio assessedPositions, signals and mandate checked
    Assessed
  2. Execution optimizedAI ranks allocations and trade plans
    Planned
  3. Routine trades placedIn-mandate orders run automatically
    Within limits
  4. High-risk trades heldA portfolio manager approves or rejects
    Human approval
High-risk decisions need approval

Portfolio managers make the call.

AI analyzes. Clinicians review and sign.

SELECTED WORK

See what the software made possible.

Explore all implementations →

Global telecom · delivered through Gigster

Recovering roaming margin

A routing platform found opportunities manual analysis could not reach, using current traffic and agreement terms.

>12×Engagement cost returned in the first year
Read the case study

HeartSciences · AI-ECG platform

Taking clinical AI into production

One configurable backend connects devices, AI providers and hospital systems across two countries.

US + UK · Clinical production described in the case

Read the case study

PropTech client · name withheld

Pricing properties in seconds

An automated engine values dense-market properties in seconds, supporting live decisions by buyers and investors.

90%Within 10% of closing price
Read the case study

Results from the linked cases. Artwork illustrates the work.

01THE PERSON AND THE PROOF
Omar Trejo, founder of ML LABS
The OperatorOmar Trejo · Founder

The person you meet is the person who builds it.

Work directly with Omar, from the first architecture decision through production. One engineering owner stays accountable for delivery, review and ongoing support.

ML LABS is one person: Omar Trejo. ML LABS helps companies accelerate AI adoption and integration, and turn it into leverage that unlocks their full potential.

Meet your engineering partner →

What clients say

Client references for Omar’s engineering work. Roles reflect the original reference.

Omar did outstanding work designing and building the backend for our cloud-native AI-ECG platform. I recommend him to any organization needing a skilled and reliable engineering partner.
Jason DomaskDirector of Software EngineeringHeartSciences
Omar is one of the most skilled engineers I have worked with in 20 years of delivering technology. He led a program to build a custom ML platform for a top-10 global client. The work continuously exceeded expectations and became their foundation.
John LiangVP of Customer SuccessGigster
First time with a large budget, and Omar got the brief right away. Came back fast with interim results and nailed the delivery. His ability to turn problems into working systems made him our first call for every ML project after.
Johan PalmbergQuantitative ResearcherWorld Gold Council

BUILD. RUN. KEEP IMPROVING.

An engineering partner for the next stage.

Your first release makes one workflow useful. The ongoing relationship makes it better as the operation changes.

  • One prioritized delivery lane, with scope agreed in writing.
  • Weekly working reviews and a monthly outcome review.
  • Active development and operation by the same senior owner.
See how an engagement runs →

AI engineering partnership

$30,000/month

3 months initially. $90,000 total, billed monthly in advance. All prices in USD.

One prioritized delivery lane. Start with one workflow, up to three roles and two integrations; agree each release before work begins.

Explore the partnership A summary to share with your team →
02HOW THE DECISIONS GET MADE

Start small enough to judge the work.

Agree the outcome before the tools. Put working software in front of the people who use it.

  1. 01

    Choose a measurable job

    Define one workflow, its owner and a baseline before any tool is chosen.

  2. 02

    Keep judgment visible

    Automate the repeatable work and route every uncertain case to a person.

  3. 03

    Own what happens next

    Review usage and exceptions, then let the evidence set the next priority.

An executive and an operations lead reviewing one printed page at a meeting tableAn operations manager on a phone call in an office above a distribution floor
Built around your peopleThe next decision stays with its owner.

What should you automate first?

Read the operating briefings →

COMMON QUESTIONS

The answers people ask for before the call.

What does an engagement cost?
3 months initially. $90,000 total. Monthly in advance after a signed statement of work. Cloud, model, software-vendor fees and applicable taxes are additional.
Who actually does the work?
ML LABS is one person: Omar Trejo. He scopes it, builds it and answers when it breaks. There is no account team and no handoff.
What happens if he is unavailable?
You receive regular repository exports and a documented handover. If Omar is non-responsive for 5 consecutive business days, fees stop and are prorated to the start of that period. No standby engineer or 24/7 coverage is included.
Who owns what you build?
Paid-for custom deliverables transfer to you monthly, with source history, documentation and a runbook. Your existing IP stays yours. Third-party and open-source components keep their licenses; any pre-existing ML LABS components are listed in the agreement with rights to use and maintain the delivered system.
How do we end it?
After the initial 3 months, the engagement continues monthly. Either party can give 30 days' written notice, including during the initial term, with termination effective no earlier than the end of that term. Fees for delivered service periods are not refundable. Prepayments for periods after termination are returned. The signed agreement defines remedies for nonperformance.
How does a first conversation work?
A 15-minute introductory call with Omar, no charge and no deck. Bring the handoff that keeps coming up in your operating meeting.

A GOOD FIRST CONVERSATION

Which handoff is holding the operation back?

Bring the one that keeps coming up in your operating meeting. We'll work out whether it deserves an engineering engagement.

Book a call

15 minutes · with Omar · no charge