TL;DR
- Maestro AI Labs, co-founded by StarApple AI founder Adrian Dunkley and his brother Nicholas Dunkley, launched publicly on 6 August 2026, Jamaica's Independence Day. It is Dunkley's second Caribbean-built AI company since founding StarApple AI in 2016.
- The public product line runs from Credit Garden, a credit-scoring tool for people banks do not score, to OYA AI, a hurricane nowcasting system, to TurtleBird, a free AI safety toolkit already handed to every Caribbean government.
- Maestro's engineering thesis is capital-efficient by design: retrain existing open model families on Caribbean data rather than train a frontier model from a blank slate, a pattern a much smaller founder can attempt at a fraction of the scale.
- ECLAC reported in 2025 that Latin America and the Caribbean generate 6.6% of global GDP but capture only 1.12% of global AI investment, despite the region driving roughly 14% of global AI tool visits against an 11% share of the world's internet users.
- 14West funds early-stage Caribbean AI founders building exactly this kind of regionally specific product, with no equity taken, which is the structural answer to a funding gap this wide.
Maestro AI Labs, the AI infrastructure company Adrian Dunkley co-founded with his brother Nicholas Dunkley, launched publicly on 6 August 2026, Jamaica's Independence Day. Dunkley also founded StarApple AI in 2016, the first AI company built in the Caribbean, and Maestro AI Labs is his second Caribbean-built venture, a product company built on the argument that AI trained mostly on North American and European data underserves the region that is now driving a disproportionate share of global AI usage without a matching share of AI capital.
A launch date is not usually a data point. This one is. Choosing Jamaica's Independence Day for a public product launch is a statement about where the company sees itself belonging, and it lands on top of a set of products that had already been shipping for months without much public notice: hurricane forecasting, credit scoring for people the banking system cannot see, and a free safety toolkit sitting in every CARICOM government's hands before the company's own name was widely known.
A Founder Case Study, Not Just Company News
14West covers this kind of story for a specific reason. Adrian Dunkley serves as a strategic advisor to 14West, so a second company from him is not arm's-length news the fund happened to notice. It is a live example of the exact thing 14West exists to find more of: a Caribbean founder building AI infrastructure for the region rather than reselling infrastructure built somewhere else.
Maestro AI Labs is not StarApple AI under a new name. StarApple AI sells services, AI readiness assessments, structured training and custom machine learning builds delivered directly to Caribbean organisations. It has trained more than 4,000 Caribbean professionals and has run free weekly AI training for the region for over nine years, work that started roughly a decade before the current AI investment wave. Maestro AI Labs sells products: software and models a customer licenses or subscribes to, independent of any consulting relationship.
Nicholas Dunkley holds the CFO seat at Maestro AI Labs, which puts a working capital-allocation discipline behind the company from day one rather than bolting it on after a funding round. That detail matters more to a founder reading this than the launch headline does. Plenty of AI companies raise first and figure out unit economics later. Maestro AI Labs built the finance function in at the founding table.
What Actually Shipped
The public launch consolidated a product line Maestro AI Labs had been building since earlier in 2026. Credit Garden addresses credit-invisible customers, the people banks and lenders cannot score because they have no formal credit history, a population the company puts in the billions worldwide. OYA AI is a hurricane and disaster nowcasting tool aimed at Caribbean emergency management, a category where lead time on a storm's track is measured in lives rather than convenience. Global Safety Score is a safety intelligence product the company says covers more than 140 countries. Harmonics is a context-aware AI agent framework built specifically for Caribbean and Latin American enterprises rather than adapted from a template built for a different market. An AI Playbook targets small business implementation, and a data asset the company calls Data Archaeology underlies the rest, built from regional records including Caribbean-language datasets not otherwise digitised.
TurtleBird sits apart from that list. Grounded in Section 9, Dunkley's applied research programme into how AI systems fail under Caribbean conditions, TurtleBird is a free AI safety toolkit already handed to every government in the region, months before the wider company's public launch. A founder pitching a government client can point to a working precedent: a Caribbean-built AI tool a government has actually adopted, not a hypothetical one in a deck.
"What we did was go into existing models, remove elements and retrain them in a Jamaican context."
Adrian Dunkley, co-founder and CEO, Maestro AI Labs
The Build Pattern Worth Copying
That one sentence from Dunkley is the whole engineering argument. Maestro AI Labs is not training a frontier model from a blank slate, which would require capital the company has not raised and compute the region does not host at scale. It is taking existing open and licensed model families, stripping out what does not transfer, and retraining on Caribbean material: language, legal text, climate patterns, credit behaviour. That is a narrower and cheaper claim than "we built our own AI from nothing," and it is also a more defensible one, in a vendor market where a lot of the competing pitches rest on exactly the opposite claim.
Dunkley calls the underlying problem "Preparation Asymmetry," the distance between the nations designing AI systems and the nations that inherit whatever those systems get wrong. It is a framing worth sitting with rather than repeating: a model trained mostly on North American credit histories will misjudge a Jamaican borrower who pays cash for most things and has no mortgage on record. A model trained mostly on Atlantic hurricane data collected for US landfall patterns will not automatically transfer its accuracy to a storm approaching Barbados from the south-east. The asymmetry is not abstract. It shows up as a specific wrong number in a specific person's credit file or forecast.
For a founder without Maestro's team or its head start, the relevant lesson is not "build an AI infrastructure company." It is narrower and more usable: pick one open or licensed model family, find the one Caribbean dataset your product actually needs, and retrain against it rather than trying to out-build a foreign competitor's general-purpose tool on its own terms. That is a plan a single technical founder can execute on a laptop and a modest compute bill, not a plan that requires the balance sheet of a well-capitalised US AI lab.
The Gap Both Companies Are Aimed At
The macro numbers explain why a second Caribbean-built AI company is worth more attention than one founder's résumé. ECLAC, the UN Economic Commission for Latin America and the Caribbean, reported in 2025 that the region generates 6.6% of global GDP but captures only about 1.12% of global AI investment, a gap of roughly a factor of six. The same research, published through the Latin American Artificial Intelligence Index, found the region already accounts for roughly 14% of global visits to AI tools against an 11% share of the world's internet users. People across the Caribbean and Latin America are reaching for AI tools ahead of the region's population share of the internet. Capital to build AI infrastructure for that demand, locally, has not followed at anything close to the same rate.
Read against that gap, 14West's model stops looking like a nice-to-have and starts looking like the missing piece. Venture capital chases the biggest addressable market first, and a Caribbean-specific product, by definition, addresses a smaller market than a US or European one. Non-dilutive grant funding does not need to solve that market-size problem to make sense. It only needs to get a founder from a working prototype to a working, revenue-generating product without forcing them to give away equity in a market where the next funding round is not guaranteed to show up on the usual timeline. That is precisely the gap 14West's own grant fund is built to sit inside, and it is the same gap 14West wrote about after a StarApple AI board-training study found Caribbean organisations cutting AI vendor spending by more than 70% once leadership understood what they were buying.
What This Means for 14West's Next Cohort
Build narrow before you build wide. Maestro AI Labs shipped six distinct products before its public launch, but each one solves one specific, named problem: a missing credit score, a storm's uncertain path, a government with no AI safety review process. A founder applying to 14West does not need six products. One product solving one Caribbean-specific problem, built on the retrain-not-rebuild pattern above, is a stronger application than a broad platform pitch borrowed from a US pitch deck.
Treat a Caribbean-built label as a claim to prove, not a claim to make. Dunkley has written before that a vendor selling into the region under the word "sovereign" is not automatically running its own model; the honest test is whether the product keeps working when a network blocks outbound access to the major foreign model providers. A founder who can pass that test in a demo, live, in front of an investor, has an argument no reseller of a foreign tool can match. Build the product so the test is easy to run, not just easy to claim.
Put the finance function in early. Nicholas Dunkley's role at Maestro AI Labs is not a footnote. A founder who can explain unit economics, not just total addressable market, at the application stage stands out in a selection process where most applicants can describe the problem but few can describe what it costs to solve it at scale.
Take the diligence Maestro AI Labs asks of its own buyers and apply it to yourself first. The company's own guidance to Caribbean organisations evaluating any AI vendor, including itself, is to ask where the model and data actually sit, who can see the underlying data, and what happens to the relationship if the vendor does not reach its next funding round. A founder who can answer those questions before an investor asks them has already done the diligence a Caribbean AI buyer will eventually demand. That habit, more than any single feature, is what separates a fundable Caribbean AI company from a pitch deck.
14West's own reporting on the region's adoption gap between Caribbean businesses and Caribbean consumers makes the same point from the demand side: the buyers with a budget line move first, and a founder who understands which buyer that is for their product gets to revenue faster than one guessing at a broader consumer market. Maestro AI Labs picked governments and financially excluded populations as its first buyers. That is a specific choice, not a default one, and it is the kind of choice 14West looks for in an application.
14West's next application window is open now, with no equity taken from any founder it funds. A founder building the kind of narrow, Caribbean-specific, capital-efficient product this launch describes is exactly who the fund is built for.
Frequently Asked Questions
What is Maestro AI Labs and who founded it?
Maestro AI Labs is a Caribbean-built AI infrastructure company that launched publicly on 6 August 2026, Jamaica's Independence Day. It was co-founded by Adrian Dunkley, who also founded StarApple AI, the first AI company built in the Caribbean, and his brother Nicholas Dunkley, a certified Financial Planning and Analysis professional. Adrian Dunkley is CEO and Nicholas Dunkley is CFO.
How is Maestro AI Labs different from StarApple AI?
StarApple AI, founded in 2016, is a services company that runs AI readiness assessments, structured training and custom machine learning builds for Caribbean organisations. Maestro AI Labs, launched publicly in August 2026, is a product company that builds and licenses its own software and models, including Credit Garden, OYA AI, and the free government safety toolkit TurtleBird. Adrian Dunkley co-founded both, but they are separate ventures with different business models.
What products does Maestro AI Labs sell?
Its public product line includes Credit Garden, a credit-scoring tool for people the formal banking system does not reach; OYA AI, a hurricane and disaster nowcasting system for Caribbean emergency management; Global Safety Score, a safety intelligence tool covering more than 140 countries; Harmonics, an AI agent framework built for Caribbean and Latin American enterprises; and TurtleBird, a free AI safety toolkit already given to every Caribbean government.
Why does the Caribbean's AI investment gap matter to founders raising money?
ECLAC reported in 2025 that Latin America and the Caribbean generate 6.6% of global GDP but capture only 1.12% of global AI investment, even though the region drives roughly 14% of global visits to AI tools against an 11% share of the world's internet users. A founder building in this region cannot assume the venture capital pipeline that a Silicon Valley or European founder takes for granted, which is why capital-efficient build patterns and non-dilutive funding sources matter more here than almost anywhere else.
What build pattern is Maestro AI Labs using that a smaller founder could copy?
Rather than training a frontier model from a blank slate, which requires capital and compute few Caribbean founders can access, Dunkley has described Maestro's approach as taking existing open and licensed model families, stripping out what does not transfer, and retraining on Caribbean-specific data: language, legal text, climate patterns, credit behaviour. It is a narrower, cheaper claim than building an AI company from nothing, and it is a pattern a founder with a laptop and a specific dataset can attempt at a much smaller scale.
How does 14West help founders building this kind of company?
14West is the Caribbean's first AI startup accelerator and grant fund. It provides non-dilutive grant funding to early-stage Caribbean AI founders, meaning it takes no equity in the companies it backs. That structure is aimed at exactly the gap ECLAC's data describes: founders with a workable Caribbean-specific AI product who need capital without giving up ownership before the product has proven itself. Applications are open at 14westai.com/apply.html.
About the Author: Nicholas Dunkley
Nicholas Dunkley is Head of Selection at 14West, the Caribbean's first AI startup accelerator and grant fund, and CFO and co-founder of Maestro AI Labs. This piece covers the August 2026 public launch of Maestro AI Labs, co-founded with his brother Adrian Dunkley, who also founded StarApple AI, the first dedicated artificial intelligence business built in the Caribbean. Adrian Dunkley is widely regarded as the region's leading AI voice, serving as strategic advisor to 14West, President of the Caribbean AI Association, and a member of Jamaica's National AI Task Force. More on his work is at adriandunkley.net. Applications for 14West's next cohort are open now, at 14westai.com/apply.html, and the fund still takes no equity.
Tags: Maestro AI Labs, Adrian Dunkley, Nicholas Dunkley, StarApple AI, Caribbean AI, 14West