Company
A small firm of senior operators, on purpose.
We focus AI investment on measurable business outcomes, deploy senior operators to execute, and build the secure production capabilities organizations need to scale.
Who we are
RegainFlow helps organizations move at the speed of their ambition.
To be the most trusted AI engineering and transformation partner for public agencies and complex organizations — known for turning fragmented AI ambition into secure, scalable systems their own teams can operate.
Founders
Two operators, both still in the code.
There is no bench behind us. The people described here are the people who show up.
Leonardo J. Ramirez
Co-founder & CEO
Captain, U.S. Army
Staff full-stack engineer and AI/ML technical lead before he was a founder. Builds AI systems inside environments that do not hand you clean data, a clear brief, or spare time — law enforcement, aerospace, defense, and complex enterprise.
An Army officer before he was an engineer, which is most of how he reads an unfamiliar organization quickly. He served to Captain across three specialties — Engineer, then Signal supporting Space and Missile Defense, then Cyber Warfare running defensive operations at the national level.
Outside the work he tracks where technology is heading rather than where it is, writes and publishes what he learns, and mentors engineers from first job through principal. The instinct is entrepreneurial: find the problem worth solving, then find the way through that nobody has tried yet.
William J. Baltus
Co-founder & CTO
B.E. Software Engineering, Stevens Institute
Engineering leadership across data, platform, and applied AI. Focused on the layer most AI work skips: making a deployed system dependable, observable, and affordable enough to keep.
A software engineer by training and by temperament, working the part of the problem that decides whether a system survives contact with production — the data path, the platform underneath it, and the instrumentation that tells you the truth about both. Most AI work treats that as someone else's job afterwards. He treats it as the design.
Continues to work at the research edge of robotics and machine learning, which keeps the architecture decisions honest: what is actually ready to deploy, what is a paper, and what will cost more to operate than it returns.
Partner network
No bench. A short list of firms we vouch for.
When an engagement needs capability we do not staff, we bring in a partner by name rather than quietly subcontracting it. You know who is doing the work, and they are paid and credited for it.
Stable Solutions
Orlando, Florida
Rafael Olivera-Cintron
Co-founder & CEO
An MIT computer-engineering alumnus and former ESRI product engineer. Leads the research and product side of every engagement they take.
Malik Byrd
Co-founder & COO
A digital-growth strategist who runs operations and growth, and turns what the research produces into demand a client can measure.
An R&D firm that researches, builds, and operates AI automation, custom software, and growth programs for mid-market and enterprise clients. Founded in 2023.
Research before deployment is their stated first principle. We make the same argument about the boring layer: what decides whether a system survives is the work done before anybody sees a demo. We have never had to sell them on it, and that is most of why the relationship holds. They are also a few miles away, so the hard conversations happen in person.
What we route to them is the work either side of AI engineering — the application layer around a system we built, and the growth programs that decide whether anyone outside the organization ever uses it. They lead those engagements under their own name.
Figures published by Stable Solutions
- 60% reduction in manual processing tasks, for a national mortgage company.
- 18+ hours reclaimed weekly, for a law firm client.
- 300% growth in online reviews in six months, for an international law firm.
- 4.5M+ monthly views across the content engines behind their growth practice.
Manifesto
What we will and will not do.
A pilot is not a result.
Demos are cheap and plentiful. The work that matters is everything between a thing that impresses a room and a thing your business runs on Monday.
The boring layer is where the value is.
Retrieval, data quality, evaluation, observability, cost control. The market is chasing what is entertaining. We build what holds.
Senior operators, not layers.
The same people assess the portfolio, write the code, and run it in production. No handoff between the person who promised it and the person who owes it.
We carry your values, not just your requirements.
A system inherits the judgment of whoever built it. We learn what your organization protects — its mission, its standards, the things it will not trade away — and build those in, rather than handing back something technically correct and culturally foreign.
We measure what we claimed we would.
Numbers are agreed before a pilot starts, not selected after it ends. Where we cannot measure the return, we say so rather than imply one.
Standing still is a decision.
We track where the technology is heading, not only where it is this quarter. New stacks get learned and then adopted or ruled out on evidence — so what we recommend is what the problem needs, not the last thing we happened to be good at.
Nobody gets used.
Not our people, not yours, not a subcontractor two layers down. Paid what the work is worth, credited where it was earned, and taught what we know — the engineers we mentor are supposed to outgrow needing us.
You should be able to leave.
Documentation, runbooks, and portability are built in from the start. Dependency is a failure mode, not a business model.
Contact
Bring us your ambitions.
We will help you clarify where to focus, what it will take, and whether RegainFlow is the right partner for it.
- [email protected]
- Location
- Orlando, Florida