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Finland’s Kaffa Roastery Created an AI-Assisted Coffee Blend. Here’s What the Technology Actually Did

By TheFinanceBase Team6 min read
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AI-conic is a real coffee blend launched by Helsinki’s Kaffa Roastery and Finnish AI consultancy Elev on April 19, 2024. But the coffee was not autonomously made or roasted by artificial intelligence. AI proposed a four-origin recipe from written flavor descriptions; human roasters then test-roasted, blind-tasted, adjusted the roast level during development, and approved the product.

What launched in Helsinki?

Kaffa Roastery introduced AI-conic Coffee during the professional day of the Helsinki Coffee Festival on April 19, 2024. The project was a collaboration between Kaffa, a Helsinki specialty coffee roaster, and Elev Consulting, a Finnish AI consultancy and training company.

The companies described AI-conic as the world’s first coffee developed with help from artificial intelligence. That is a claim from the developers and their launch announcement—not an independently verified universal designation.

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The more precise description is an AI-assisted coffee blend. “AI-generated coffee” can suggest that software selected green beans, operated a roaster, or conducted quality control. None of those things happened here.

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AI-conic at a glance

Detail What is known
Product AI-conic Coffee
Launch April 19, 2024, at Helsinki Coffee Festival
Collaborators Kaffa Roastery and Elev Consulting
Blend size Four coffee origins
Roast Medium
Official flavor description Juicy, dynamic, sweet, and ripe-fruited

The four-bean recipe

AI proposed a combination of four origins, more than the two or three beans Kaffa commonly used in its blends. The published composition is:

Origin Coffee Share
Brazil Fazenda Pinhal 40%
Colombia San Lorenzo 25%
Guatemala La Bolsa 25%
Ethiopia Geruke 10%

The Brazil component dominates the recipe, while Colombia and Guatemala each contribute a quarter and Ethiopia makes up the remaining tenth. The project’s official site says the blend is balanced between sweetness and ripe fruit.

The unusual part was not that AI invented a new type of bean. It suggested a proportioned combination of coffees already available to the project team. The roasters reportedly questioned whether four origins would make the individual flavors indistinct. Their blind tasting convinced them that the blend worked.

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That result is interesting, but it is not a controlled scientific finding. The public accounts do not disclose the number of tasters, brewing method, water chemistry, roast dates, comparison coffees, or statistical results.

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How AI contributed

The development process involved several distinct AI tasks:

  1. Data preparation: Kaffa supplied written descriptions of its existing coffees, including flavor notes and bean profiles.
  2. Model input: Elev added information about the characteristics of the available beans.
  3. Recipe ideation: A GPT-based large language model was asked to propose a new blend intended to appeal to coffee drinkers. Elev’s Finnish announcement says GPT was used through Microsoft Azure.
  4. Naming and visual concepts: The project’s official history says ChatGPT 3.5 assisted with naming, while AI also contributed to package-visual concepts.
  5. Physical testing: Kaffa’s coffee professionals test-roasted the proposed blend and evaluated it through blind tasting.

The model worked from descriptions supplied by people. It did not taste the beans, sense aroma, assess freshness, operate the roasting equipment, or independently decide whether the final coffee was saleable.

What humans still did

The human role was central rather than ceremonial. Kaffa’s roasters selected and supplied the relevant information, handled the physical roasting, and judged the result. The official account says the roasters accepted the proposed blend proportions without changing them. A separate company account indicates that the roast level was adjusted during development.

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That distinction matters: the AI suggested the blend recipe, but human professionals remained responsible for how the beans were roasted and whether the result met their standards.

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AI contribution Human contribution
Analyzed written coffee descriptions Selected and supplied the data
Proposed the four-origin composition Obtained and roasted the beans
Assisted with naming and visual concepts Blind-tasted and evaluated the coffee
Generated suggestions from text Managed production, quality control, and sale

What does AI-conic taste like?

The official product description calls the coffee “juicy and dynamic,” with a balance of sweetness and ripe fruit. Independent reporting similarly described it as balanced, sweet, and fruit-forward, with Brazil’s Fazenda Pinhal as the dominant component.

Company testimonials mention chocolate-like notes and softness, but those are promotional or attributed sensory opinions—not standardized, independent tasting results. The public product information identifies a medium roast but does not publish a cupping score, complete processing details for every bean, or an independent sensory study.

For a buyer, “AI” does not mean artificial flavoring or a futuristic ingredient. This is conventional coffee, evaluated by ordinary human sensory standards. Taste will also depend on roast freshness, grind size, water, brewing method, and personal preference.

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Did AI make the coffee better?

The evidence supports a narrower conclusion: AI produced a combination that the roasters had not initially considered, and human experts judged the resulting coffee positively in a blind tasting.

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It does not prove that AI consistently makes better coffee than an experienced roaster. The model was constrained by the completeness and consistency of the written descriptions, the beans made available, the prompts used by Elev, and the physical behavior of the coffees during roasting.

Language models can recombine patterns in supplied information, which may make them useful brainstorming partners. But text descriptions are not the same as sensory perception. The model did not optimize flavor through a statistically validated experiment, and the exact prompt, model version, settings, full dataset, and rejected alternatives have not been publicly disclosed.

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Why the project matters beyond coffee

AI-conic is best understood as a case study in augmentation rather than replacement. Coffee blending depends on tacit knowledge: sensory memory, an understanding of how origins interact, and experience with how roasting changes a bean’s character.

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AI can help professionals explore combinations quickly, identify patterns across large descriptive datasets, and challenge assumptions. In this case, it acted as a creative “sparring partner” that suggested using four origins. People then tested whether the suggestion survived contact with the physical product.

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The same pattern applies to many skilled industries. An algorithm may generate options, but domain experts still need to define the inputs, test the output, account for real-world constraints, and take responsibility for the final decision.

Can you still buy AI-conic?

As of the official pages checked in August 2026, the dedicated AI-conic website says the coffee is available for pickup and delivery. However, AI-conic is not visibly listed among the current coffee bags in Kaffa’s main English catalogue or its coffee-products collection.

That mismatch means availability should be verified through the order page and checkout rather than assumed from the 2024 launch coverage. The product site may have changing stock, delivery, or geographic restrictions. Kaffa’s general shipping policy describes Finland, EU, and worldwide shipping arrangements, but that policy should not automatically be treated as confirmation that every AI-conic order can be shipped to every country.

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The reported launch price was €12.90 for 250 grams, according to The Next Web’s April 2024 coverage. That is a historical price, not a current 2026 price.

Elev said orders came from more than ten countries during the launch weekend. That figure is company-reported and indicates international attention at launch, not a current sales or popularity measurement.

The bottom line

AI-conic was not coffee made by a robot. It was a human-produced, medium-roast blend whose four-bean recipe was proposed by a GPT-based AI system using descriptions supplied by Kaffa and Elev.

The project’s real achievement is more modest—and more credible—than the headline suggests: AI offered experienced roasters an unexpected formulation, and those roasters decided through physical testing and blind tasting that it was worth selling. That makes AI-conic a compelling experiment in creative assistance, not proof that software can replace coffee expertise or guarantee better flavor.

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Quick Recap

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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

Written by TheFinanceBase Team

The Team behind TheFinanceBase.

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