PE portco · Logistics
10,000+
customs files assisted in a month
Customs clearance, automated end to end
Agents poll the portal, prefill each declaration with its evidence and pay the fees. The team supervises exceptions.
Applied AI Lab
AI muscle,
human soul
We learn the language of your business first. Then we build AI that speaks it.
Trusted by leaders at
Private equity fund
Five Arrows
Private equity fund
Everwood Capital
Software for local government
Springbrook
Logistics and customs
AGSA
Field service software
Totalmobile
Real estate group
Grupo Portland
Private equity fund
Iberian Ventures
Private equity fund
Integra Capital
Where we operate
Private equity
The complex operations of their portfolio companies.
Logistics and customs
The paperwork and coordination behind every shipment.
Financial groups
The weight of reporting and compliance.
Real estate
The many hands behind every building.
Manufacturing
The quotes and planning behind every order.
Our stack
Anyone can use an AI model. We make it work for your business.
Selected work
Real systems, real numbers
Engagements across private equity portfolio companies, family offices and operating companies in Europe and the Americas.
PE portco · Industrial
600+
unanswered requests turned into quotes
Every request gets a quote
AI reads each request and a rules engine sets the price; sales approves every quote. Live in four regions, with 9 or 10 in 10 right, up from 6.
PE portco · Software
9days
from kickoff to a working MVP
GTM agents, live in nine days
Agents across the whole go-to-market team, in the client’s own cloud. A buyer’s business case now takes 30 minutes, each figure with its source.
Family office · Equities
2,500+
equities screened every week
Every equity screened, every week
Scored against 35 committee criteria, with cited memos on Monday morning.
Property group · Real estate
2,894
people identified in scanned paperwork
A buyers’ register, rebuilt from paper
AI read 2,277 signed documents and named the owner behind each record, with the sentence it came from. Records with an owner went from 14% to 44%.
Speed as the product
Value in week two, not month six
Time to first impact
2weeks
With an Impact Sprint scoped to one KPI.
Cycle-time reduction
40%
Average across live workflows.
Faster than legacy rollout
27×
From pilot to production.
How it works
Your team,
powered up
- TodayToo many tools to reach for, and every switch costs time.
- Fluency joinsIt finds the information, organizes it and gets the work ready.
- AfterYour people do what they do best: decide.
Practical AI
The builders also teach
Our training arm. The operators who build systems for clients bring the same craft to leaders, companies and teams.
- 1-on-1 advisory
- A recurring session with a technical operator, for people who make decisions.
- Corporate programmes
- In-company training for leadership and operating teams, inside your own stack.
- Bootcamps
- Hands-on cohorts that end with working workflows, not slides.
For funds
Prove it once, then across the portfolio
We go live in one company first. Our forward-deployed engineers work inside it, with its team, and turn what worked into a playbook the fund owns. Each next company starts from it.
00 The portfolio
A fund and four portfolio companies, each running its own manual operations.
Who we are
“Every company will run on AI. The ones that lead will be the ones whose people run it.”
Co-founder · Growth & strategy
Julián Hodari Pampillo
Product and growth across fintech and B2B SaaS. Took a startup from $2M to $20M ARR.
LinkedIn
Co-founder · AI & product
Guillem Batiste Ros
10+ years building applied AI. AI Chair Professor at BSM. Products with 250K+ weekly users.
LinkedIn
Partner · Americas
Tomás Michelich
Co-founded a consulting firm acquired by McKinsey. Former Expert Associate Partner at McKinsey.
LinkedIn
Questions
Before we talk
What kinds of companies do you work with?
Mid-sized to large organisations where data and operations are core to value creation: private equity and venture firms, family offices, logistics and customs, manufacturing, real estate operators, and industrial and healthcare groups.
How do projects usually start?
We start with a 45-day Impact Sprint: a first use case, tied to one KPI. From there we expand into more use cases and set up an ongoing partnership.
How do you handle security and compliance?
We build inside your cloud, with your identity, access controls and audit standards. Data stays within your perimeter, encrypted in storage and transport, with role-based access and clear boundaries between environments.
How long until we see real ROI?
Visible impact usually lands within 30–60 days of the first system going live: shorter cycle times, better decisions, less manual work. Larger financial payback often follows within one to two quarters.
What happens when new models come out?
Our systems are model-agnostic. We test new releases on your data, compare performance and safety, and upgrade once they clear the bar, without disrupting production.
Get started
Let's talk about your operation
Book a short working session. We map your stack and outline a sprint that ships.
Book a working session- hello@fluencylabs.ai
- Offices
- Buenos Aires · Miami · New York
