Generative AI is software that creates new content instead of just sorting or scoring what already exists: you ask, and it writes text, produces code, generates images, speaks a reply, or turns a long recording into a short summary. We build those features into real products people use every day, along with everything around the model that makes them work: the interface, the guardrails, and the checks that prove the output is right. We have built software since 2015, and we've shipped generative AI products that are live in front of users.
Copilots and assistants
A copilot is an assistant that lives inside your product and helps a user get something done: drafting, answering, suggesting the next step. We build it into the tool your users already work in, and we ground it in your content so its answers are specific and useful.
Content generation
Features that draft, rewrite, summarise or restructure text on demand. The hard part is making the output reliable: tuning the prompts, setting the tone, and holding the model to the facts so it doesn't make things up. On Fyl we built a summary engine that turns recordings into fact-only summaries, tuned to stay strictly to what was said.
Image generation
Features that create or edit images from a text prompt or an existing asset, built into your product with the controls and review your case calls for.
Voice features
Speech in and speech out: live voice interactions, transcription, and turning recordings into clean summaries. Lizzy AI runs live voice interviews on OpenAI's Realtime models, then transcribes and scores each conversation, while SOARR transcribes and summarises patient encounters into structured medical notes. For transcription, we use models like Deepgram and tune them for accuracy, down to punctuation, speaker labeling, and custom vocabulary for names.
Chatbots grounded in your data
Chat that answers questions using your own content. We ground the model in your data so replies stay on-topic and accurate. We've done this on a client's own product catalogue, switched a live chatbot from one model to another when that made sense, and worked out the AI running costs up front so there are no surprises later. When a grounded-knowledge product is the whole point of the build, that becomes our LLM & RAG work.
Generative features are one part of what we build. We also build AI agents and automation, LLM and RAG products grounded in your data, custom machine learning and predictive analytics, computer vision, and AI dropped into apps you already run. The full picture, and the rest of our generative AI solutions, is on the AI development services page.
Generative AI development is the product we deliver. It's not the same as AI-native development, which is how we build now. We keep the two apart on purpose, because they answer different questions.
01
Map the data
02
Cost the model up front
03
Build the feature around the model
04
Evaluate before and after launch
Map the data
Generative quality starts with what the model has to work with, so we map and model your data before anyone writes a prompt.
Cost the model up front
We benchmark models for fit, speed and price, and work out the running costs (API, hosting, processing) before we build, not after.
Build the feature around the model
The prompt is only a small part of the work, so we also build the reasoning, the grounding, the memory and the interface, and keep the engine swappable so you're not locked to one provider.
Evaluate before and after launch
Every build goes through an evaluation step that checks accuracy, bias, prompt attacks and cost, before it goes live and after each change.
We specialise in premium mobile app development services, web development services, and everything that revolves around them: Product Design, Product Strategy, AI integration, QA and maintenance. Over the years, we've not only built powerful digital products but also played a key role in boosting conversion rates, optimizing performance, adapting to growing user bases, and improving app store rankings and reviews. These efforts have driven greater user engagement and significantly increased revenue.
From startups to scale-ups and industry giants—brands across various industries choose us as their trusted partners. They rely on us to transform their ideas into stunning products, deliver innovative solutions, and enhance existing projects to help them stand out in the market.
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Gab Test
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From the first day, Wolfpack was extremely committed, reliable and delivered solutions in outstanding quality. I also enjoyed that the Wolfpack team made lots of very useful suggestions and deeply cared about our company. Working with Wolfpack feels like working with your own team.
Axel Heinz
CEO and Founder of Makerist
They are informed, easy to work with, and communicative, bringing plenty of experience to the table. Overall, the quality of the work is brilliant. My business partner was skeptical about outsourcing it initially, but he ended up having his current applications rebuilt by Wolfpack too.
Raymond Valentine
CEO at FlexiDrive
The highly functional app has drawn enough users to make up 20% of the customer base across platforms. Wolfpack Digital is a communicative and reliable team that’s easily capable of integrating with the in-house development team. We communicated well. They responded to us rapidly, demonstrating their understanding of our business and any errors we might face.
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CTO at FirstAgenda
Wolfpack Digital delivered a functional backend despite the complicated nature of the app. Their work has received positive external feedback, and they've been commended for their ability to develop the product in a short timeframe. The team is supportive and understands the business goals.
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CEO at Gloat
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CEO and Co-founder of Amplicare
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Chief Experience Officer, Anyline GmbH
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Software Engineer at GoalPlay
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CTO at GoodBox
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QA
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CEO at Storyball
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Co-founder of Hyp3r
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Ben Sweeney
Director of Product Development at the Bosco
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Manual Testing vs. Automated Testing: An Intro to Effective QA!
Dragos
QA Specialist
Reading time: 6 min
Feb 18, 2022
As humankind constantly evolves, we explore and invent new ways to make our lives easier. Even if we are talking about something simple like washing machines or more complex things like self-driving cars (we can see a pattern here), humans like to automate.
Optimistic Frontend Development
Victor
Head of Web Development
Reading time: 6 min
Feb 15, 2022
With web and mobile apps, there is a lot of planning and designing. When you have a complex system, new features can break the app’s UX, performance, or code.
4 Important Healthcare Apps Tips for 2022
Dan
Head of Mobile Development
Reading time: 5 min
Feb 9, 2022
There's no need to say that the last two years have been very challenging from a medical point of view and there has been an increasing demand for healthcare apps. What are the aspects you need to pay attention to if you want to build a healthcare app in 2022?
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