# Klingit vs peoly

> Comparing AI Video options: Stockholm vs Prague. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/klingit-vs-peoly
Generated: 2026-10-01 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Klingit | peoly |
|---|---|---|
| Editorial score | 52.8/100 | 48.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 10-49 |
| Location | Stockholm, Sweden | Prague, Czech Republic |
| Founded | 2021 | 2019 |
| Last reviewed | 2026-08-05 | 2026-09-20 |
| Services | AI Video, AI Marketing, AI SEO | AI Development, AI Automation, AI Video |
| Industries | E-commerce, SaaS & B2B, Healthcare | Manufacturing, SaaS & B2B, E-commerce |

## Our take on Klingit
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

A creative production company that delivers on subscription, and the reason it is listed here is narrow and specific: it produces campaign work generatively, and says so.

The LOOP brief is explicit—create AI-generated video for a nicotine-pouch launch, fast and within budget—and the client's marketing director is quoted by name. Häxan, a Swedish household brand from the early 1900s, ran a Halloween campaign whose imagery was generated because a photoshoot was out of reach; its co-owner is quoted saying so directly, including that dynamic visuals would otherwise have cost another $10,000.

Behind that sits an in-house generation engine for on-brand images, illustrations and 3D renders.

Everything else in the portfolio is design: visual identity for Doktera, Capway and Movement Software, brand and campaign work for Kry and foodora. This is not an AI consultancy and does not claim to be. Listed under AI Video and AI Marketing, which is what it actually does—hire it for production economics, not for a system.

### Key strengths
- Two named-client campaigns where generative production is the delivery method, both with attributed client quotes explaining the cost case
- An in-house generation engine tuned to a brand's own assets, rather than generic tooling applied per project
- A subscription model with 80-plus creatives, which suits continuous campaign output rather than one-off projects

### Good to know
- This is production, not engineering—there is no system delivered and no model built for you
- Most of the portfolio is conventional design and brand work; the AI is a method inside it, not the offer

## Our take on peoly
Reviewed 2026-09-20 by Gabor Kiss against published evidence.

Twelve case-study summaries sit on the homepage and not one names the client: convolutional networks paired with custom illumination catching paint defects under 0.1 mm at over 95 percent accuracy for an automotive manufacturer, a sound model diagnosing car faults at 98 percent accuracy, a visual-search microservice for a furniture platform.

The productized side is more current and easier to check—five edge applications covering PPE detection, QR and barcode reading, shopping-cart tracking, occupancy monitoring and sound analysis ship as ACAP apps running on Axis ARTPEC-8 and 9 camera chips, behind NVIDIA Metropolis membership since 2022 and Axis Technology Integration Partner status since April 2024.

The AI capability arrived by acquisition: peoly bought GoodAI Solutions—the applied-AI firm spun out of the Prague research lab GoodAI—in August 2022 and renamed it peoly solutions, which is why four of the six client quotes credit 'former GoodAI Solutions' rather than peoly.

The weaker fit is a buyer who needs one comparable engagement documented end to end before committing—the written case studies are 2022-era, anonymous throughout, and state no scope, duration or team size.

### Key strengths
- Two client quotes carry outcomes: GasNet describes a proof of concept that became a production document-processing system, and The Diamond Pro reports around 6,000 hours saved a year
- The edge apps are downloadable with installation guides and interface screenshots dated August 2025, so the product line can be tested on an Axis camera before anything is signed
- Methods are named rather than hidden behind 'proprietary AI': TensorFlow Lite on Android, TensorRT and DeepStream on NVIDIA GPUs, approximate-nearest-neighbor visual search on Kubernetes

### Good to know
- Ask for the surname and track record of whoever would lead your build—the leadership page lists eight people by first name only, including the Head of AI and the AI/ML team lead
- Delivery runs from development centers in Vinnytsia and Lviv under a Prague head office—confirm where your team would sit, who signs the contract and what the continuity plan is
- No rate or minimum engagement is published anywhere—settle the commercial frame early, and ask whether you are buying an ACAP app license, a scoped build or a monthly team

## Which to choose
Choose Klingit for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Healthcare
- broader service offering — also covers AI Marketing and AI SEO
- a higher overall editorial score

Choose peoly for:
- closer collaboration at a smaller team scale
- disclosed specialization in Manufacturing
- broader service offering — also covers AI Development and AI Automation

## Questions buyers ask

### Which has more E-commerce experience, Klingit or peoly?
Both agencies show documented E-commerce work and have similar industry breadth. Compare directly on the agency profiles: Klingit and peoly.

### Which scores higher overall, Klingit or peoly?
Klingit scores 52.8/100, 4 points higher than peoly at 48.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### Which is faster to engage, Klingit or peoly?
Neither publishes lead times, so this is a read on team size rather than a measured answer. peoly runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Klingit runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.

### When should I consider both Klingit and peoly?
Consider running parallel discovery briefs with Klingit and peoly if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates