Engineering & applied AI · Since 2015

Eleven years of engineering. Now applied to AI.

Lulosoft designs, builds and runs AI systems, data platforms and engineering teams for organizations where the data is fragmented, the stakes are real, and results have to show up in the financials.

Contact Us →How we work
2015
Founded as a hardware and embedded engineering firm
100+
Countries covered by an enterprise AI program our leadership built from zero
3
Engineering hubs: Colombia, Argentina and Spain, working U.S. hours
2wk
Maximum length of a discovery before you get a written recommendation
Services

From the first business case to the system in production.

Engage us for one service or the full program. Each one is staffed by senior engineers who have built it before.

Select a service

AI strategy & ROI

We help leadership decide where AI is worth the money. Every initiative is weighed on value, risk, data readiness and total cost of ownership, so you invest in the few that move the P&L.

ForCFOs, COOs and transformation leaders
  • Use-case portfolio with financial backing for each idea
  • Build, maintain and run costs, including model usage
  • KPIs defined from a week-zero baseline
  • Adoption plans so the tools actually get used
How we work

Start small. Prove it inside the fiscal year. Then scale.

We do not ask for a large commitment up front. We ask for a clear objective, in numbers, and access to the people who do the work today.

1
3 days – 2 weeks

Discovery

One focused hour a day with the people who run the process. You get a written recommendation, even if it says you do not need AI.

2
Weeks, not quarters

Early win

One high-probability use case with a measurable outcome, so leadership sees real numbers before the larger investment.

3
3 – 6 months per system

Scale

Expand the data foundation project by project. Each new initiative reuses what the last one built.

4
Ongoing

Sustain

Monitoring, model updates, training and support, by us or by your own team after a structured handover.

Engagement models
Advise

Strategic advisory

Senior guidance for leadership on portfolio, governance, budgets and training while your teams build.

Deliver

Project delivery

We own the outcome end to end, from discovery and data to the system in production.

Extend

Dedicated teams

Our engineers, your direction. Billed by the hour under a master agreement that scales with you.

Security & compliance

Ready for your security review.

Our leadership has run AI programs under European, U.S. and Chinese regulation at the same time. We expect procurement, legal and cyber reviews, and we prepare for them.

Deployment where you need it

Your cloud, private cloud or on-premises. Data residency by region when regulation requires it.

Model-agnostic by design

OpenAI, Anthropic, Google, or regional and open models. You are never locked to a single provider.

Accuracy you can audit

Evaluation suites for hallucinations and incorrect outputs, with human review gates where decisions carry risk.

Confidentiality by default

NDAs before data access, least-privilege credentials, and clear rules for how your IP and content are handled.

Platforms
DatabricksSnowflakeAWSMicrosoft AzureGoogle CloudSAPPower BIOpenAIAnthropic ClaudeGoogle GeminiLangGraph
Our story

Not a pivot. A decade of compounding.

Most AI firms started in 2023. We started with circuit boards. Every stage taught us something the next one needed, and that is why our AI work holds up in production.

Hardware
2015

Hardware

Circuit boards, firmware and embedded systems. We learned that the physical world does not forgive sloppy engineering.

Software
Hardware
2016

Software

Web, mobile and back-office platforms. We learned how real businesses run, and where their data lives.

Teams
Software
Hardware
2021

Engineering teams

Dedicated engineers embedded in client programs. We learned to hire, vet and retain talent that enterprises trust.

Applied AI
Teams
Software
Hardware
2025

Applied AI

Strategy, data platforms and AI systems, delivered by people who have built every layer underneath.

Why it matters

AI is the newest layer of software, not a replacement for engineering. The firms that understand the layers underneath are the ones whose AI survives contact with production.

What we have learned

Lessons from building AI inside large organizations.

We tell every client these in the first meeting, because they decide whether the investment pays back.

Data first. Agents second.

An agent without consolidated data fills the gaps with guesses. You cannot build the roof before the walls.

Hours saved are not dollars saved.

A task that drops from four hours to twenty minutes feels great, but rarely shows up in the financials. We design for outcomes finance can measure.

Sometimes the answer is not AI.

If the goal is to fill a report, plain automation is cheaper and safer. We recommend AI only where analysis is the real need.

AI has three costs, not one.

Building it, maintaining it and running it. We put all three on the table before you commit a budget.

Technology is rarely the bottleneck.

Access to data, ownership and change management decide timelines. We plan for the organization, not just the architecture.

You own what we build.

Your data, your code, your access layer. If you ever move on, everything goes with you. We would rather earn the renewal.

Where we work

Nearshore by design. Working U.S. hours.

Our engineers work from the United States, Colombia, Argentina and Spain, aligned to your business day.

Local time right nowLive
  • Tampa, United StatesHeadquarters
    U.S. Eastern
  • Cali, ColombiaEngineering hub
     
  • ArgentinaEngineering hub
     
  • SpainEngineering hub
     

Colombia and Argentina sit within two hours of U.S. Eastern, so your team and ours share the full working day. Spain adds European overlap for global programs.

USColombiaSpainArgentina
Contact

Start a conversation.

Tell us more about your project. A member of our leadership team will reply within one business day.

OfficesTampa, Florida · Cali, Colombia

Send us a message

We sign NDAs before reviewing any confidential information.