Two firms can both list "LLM integration" and still be built for different projects. This page sets asaasin.ai and Miquido side by side using only what each listing in this directory records. For the quick table view, see the asaasin.ai vs Miquido comparison.
Disclosure: asaasin.ai publishes this directory and is the featured partner. Treat it as one candidate and check every claim against each firm's own site.
The short version
- Miquido is a mid-size company in Krakow, Poland, founded in 2011. It is tagged Europe only.
- asaasin.ai is a boutique with offices in Orange County, California and Prishtina, Kosovo. It is tagged North America, Europe, the Balkans and Remote/Global.
Both carry the LLM integration, AI product development, enterprise AI and AI integration tags. Only asaasin.ai also lists AI strategy.
Side by side
| | asaasin.ai | Miquido | |---|---|---| | Headquarters | Orange County, CA · Prishtina, Kosovo | Krakow, Poland | | Size tag | Boutique | Mid-size | | Regions | North America, Europe, Balkans, Remote/Global | Europe | | Shared specialties | LLM integration, AI product development, enterprise AI, AI integration | Same four | | Extra specialty | AI strategy | None listed | | Founded | Not recorded | 2011 |
How they describe their work
Miquido's listing says it builds mobile applications and enterprise AI solutions, with AI consulting, on-device AI development, AI integration and process automation. The on-device angle and the mobile focus are the clearest differences from the others on the list.
asaasin.ai's listing describes small senior pods, typically two to five engineers, shipping custom AI, web and data systems weekly. It says engagements start with a free prototype, and that builds are HIPAA-aligned and SOC 2 Type II-ready. It also offers staff augmentation and fractional CTO support. These are the firm's own statements; ask for evidence in a call.
Scope: what each is set up to build
Miquido's scope centers on products people hold in their hands. Mobile applications come first in its listing, and AI work, including on-device development, extends from there. Process automation sits alongside it for internal workflows. If your roadmap starts with an app, that scope is a natural match.
asaasin.ai's scope is custom AI, web and data systems. It starts from the AI or data problem and builds the surrounding product, rather than starting from a mobile channel. The listing also names AI strategy, which Miquido's does not, so asaasin.ai can be engaged before the build question is settled.
Engagement style and team shape
The size tags imply different shapes. asaasin.ai describes a pod of two to five senior engineers on a weekly shipping cadence, with a free prototype before commitment. Staff augmentation and fractional CTO support are also listed, so the relationship can shift from a full pod to embedded help.
Miquido's listing does not describe a pod or team model. As a mid-size company founded in 2011, it presumably has more depth across disciplines such as mobile and consulting, but headcount is not recorded for either firm. Ask Miquido how a team is assembled for an AI engagement, and ask asaasin.ai what happens to the pod when one engineer is out.
Working hours differ as well. Miquido's Krakow base fits European schedules. asaasin.ai's California and Kosovo offices give overlap with both US mornings and European afternoons.
Who fits which
Consider Miquido if:
- Your AI feature lives inside a mobile app, or needs to run on the device.
- You want a mid-size company with a Polish base and European working hours.
- You are building a product and want one vendor for the app and the AI.
Consider asaasin.ai if:
- You want a small senior team rather than a larger bench.
- Your team is in North America and wants overlap with a US office, with delivery support from the Balkans.
- You need strategy help, or staff augmentation alongside the build.
- Your data is health-related and you want to discuss HIPAA alignment early.
Neither may fit if you need a multi-year, multi-country program. Look at the large firms instead.
Questions to ask each firm
- Give each the same real problem and your real data shape.
- Who, by name, would work on it, and what happens if they are unavailable?
- Which reference client had a similar problem, and can you speak to them?
- Who owns the system, the code and the monitoring after launch?
- How do you evaluate the model's output before it reaches users?
- If requirements change mid-build, how is scope reset?
How to test the fit
Size and region tags narrow a list. They do not pick a vendor. Run the same small test on both and compare the answers, not the pitches.
For wider context, read how to compare AI implementation companies and AI consulting firms: boutique vs mid-size vs large. The profiles are at asaasin.ai and Miquido. To see other Polish options, browse Krakow or Europe. Another cross-border contrast is asaasin.ai vs ocampor, and the full table is on the compare page.
FAQ
Is Miquido bigger than asaasin.ai? In this directory, yes. Miquido is tagged mid-size and asaasin.ai boutique. Headcount is not recorded for either, so ask.
Do both build with LLMs? Both carry the LLM integration tag. The listings do not say which models or frameworks each prefers.
Which is closer to the US? asaasin.ai lists an Orange County office and a North America tag. Miquido is tagged Europe only.
Does either list AI strategy? Only asaasin.ai.
Checklist
- Match the firm's size tag to your project's scale.
- Match the region to your timezone and data residency needs.
- Confirm the specialty tag with a past project, not a slide.
- Ask for named engineers and a reference client.
- Ask how each team is structured and how output is evaluated.
- Settle ownership and post-launch support before you sign.