Miquido vs SPD Technology: full comparison for 2026
Quick verdict
Miquido (4.1/5) edges ahead of SPD Technology (3.9/5) overall. Miquido is the better choice for companies wanting RAG, computer vision, on-device AI in apps. SPD Technology is the stronger option for fintech and payments, direct OpenAI and Anthropic partnerships. The right choice depends on your project size, budget, and required tech stack.
Miquido vs SPD Technology: head-to-head summary
| Criterion | Miquido | SPD Technology |
|---|---|---|
| Founded | 2011 | 2006 |
| HQ | Kraków, Poland | London, United Kingdom |
| Team size | Not disclosed | 650+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Offers on-device AI development and AI guardrails alongside core ML, computer vision, and NLP work — a more product-engineering-centric AI offering than pure consulting-first competitors | Secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities — a more direct foundation-model-vendor relationship than most peers on this list disclose |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, On-device AI frameworks, Computer vision libraries | Python, OpenAI API, Anthropic API |
| Industries served | Fintech, Healthcare, Retail/E-commerce, Energy & Utilities | Fintech, Financial Services |
Miquido vs SPD Technology: overview
Miquido
Miquido is a Kraków, Poland product-development company founded in 2011, offering on-device AI development, AI integration, computer vision, NLP, RAG development, and AI guardrails alongside its core mobile and web engineering practice. Notable clients include Warner Music, Universal, and Abbey Road Studios (per company website), and the company reports 90% of projects sourced from client referrals. Team size is not publicly disclosed.
SPD Technology
SPD Technology is a London, UK software product development company founded in 2006, with 650+ engineers across 30+ countries and 460+ delivered custom projects. It secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities, serving fintech, digital payments, and data-engineering clients including PitchBook, Morningstar, and Blackhawk Network.
Services and capabilities: Miquido vs SPD Technology
| Capability | Miquido | SPD Technology |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✗ | ✓ |
Tech stack comparison: Miquido vs SPD Technology
| Framework / platform | Miquido | SPD Technology |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | ✓ |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Miquido vs SPD Technology
| Criterion | Miquido | SPD Technology |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: Miquido vs SPD Technology
| Dimension | Miquido | SPD Technology |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Fintech, Healthcare, Retail/E-commerce | Fintech, Financial Services |
| Best use cases | On-device AI features for mobile apps, RAG-based AI product development | Fintech and payments platform AI features, OpenAI/Anthropic-based generative AI integrations |
| Typical project type | Fixed project | Fixed project |
Miquido vs SPD Technology: pros and cons
| Miquido | |
|---|---|
| + | Notable enterprise and media clients including Warner Music, Universal, and Abbey Road Studios (per company website) |
| + | On-device AI and AI guardrails are a more specialized offering than most generalist dev shops provide |
| + | 90% of projects reportedly sourced from client referrals, suggesting strong repeat business (per company website) |
| + | Founded 2011 — over a decade of Kraków-based product engineering experience |
| - | Team size is not publicly disclosed |
| - | AI/ML is an extension of a broader mobile and web product engineering practice rather than the company's original core focus |
| - | Entertainment and music-industry client concentration may not translate to buyers in other regulated industries |
| SPD Technology | |
|---|---|
| + | Direct partnerships with OpenAI and Anthropic, in addition to AWS, are a distinctive and verifiable technology relationship |
| + | 650+ engineers across 30+ countries and 460+ delivered custom projects show significant scale and reach |
| + | Notable enterprise clients including PitchBook, Morningstar, and Blackhawk Network |
| + | London HQ combined with globally distributed delivery centers balances local client access with cost-effective delivery |
| - | AI/ML is one of several practices (fintech, payments, data engineering, cloud) rather than the company's sole focus |
| - | 650+ person, 30+ country delivery footprint can mean variable team consistency across engagements |
| - | Founded 2006 as a general software product company — AI/ML partnerships are a comparatively recent strategic addition |
Who should choose Miquido?
A typical fit: on-device AI features for mobile apps.
Offers on-device AI development and AI guardrails alongside core ML, computer vision, and NLP work — a more product-engineering-centric AI offering than pure consulting-first competitors. Minimum engagement starts at Not published. Works best with clients in Fintech, Healthcare, Retail/E-commerce, Energy & Utilities.
Who should choose SPD Technology?
A typical fit: fintech and payments platform AI features.
Secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities — a more direct foundation-model-vendor relationship than most peers on this list disclose. Minimum engagement starts at Not published. Works best with clients in Fintech, Financial Services.
Decision matrix: Miquido vs SPD Technology
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Miquido |
| You need a large dedicated team for an ongoing programme | Miquido |
| Your budget is at the lower end | Compare: Miquido (Not published) vs SPD Technology (Not published) |
| You need specialist depth in a specific vertical | Miquido |
| You need staff augmentation or team extension | SPD Technology |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Miquido vs SPD Technology
| Use case | Miquido fit | SPD Technology fit | Winner |
|---|---|---|---|
| On-device AI features for mobile apps | Strong | Limited | Miquido |
| RAG-based AI product development | Strong | Limited | Miquido |
| Fintech and payments platform AI features | Limited | Strong | SPD Technology |
| OpenAI/Anthropic-based generative AI integrations | Limited | Strong | SPD Technology |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Miquido vs SPD Technology
Miquido (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Offers on-device AI development and AI guardrails alongside core ML, computer vision, and NLP work — a more product-engineering-centric AI offering than pure consulting-first competitors.
SPD Technology (3.9/5) is worth a look if you need OpenAI/Anthropic-based generative AI integrations. If your situation matches that, SPD Technology is a competitive option.
Related comparisons
Miquido vs SPD Technology FAQ
Is Miquido better than SPD Technology?
Miquido (4.1/5) scores higher overall, but "better" depends on your use case. Miquido's strongest advantage: notable enterprise and media clients including Warner Music, Universal, and Abbey Road Studios (per company website). SPD Technology's strongest advantage: direct partnerships with OpenAI and Anthropic, in addition to AWS, are a distinctive and verifiable technology relationship.
How do Miquido and SPD Technology differ in pricing?
Miquido uses fixed project, dedicated team pricing with a minimum engagement of Not published. SPD Technology uses fixed project, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Miquido or SPD Technology?
SPD Technology is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Miquido and SPD Technology?
Miquido's primary differentiator is: offers on-device AI development and AI guardrails alongside core ML, computer vision, and NLP work — a more product-engineering-centric AI offering than pure consulting-first competitors. SPD Technology's primary differentiator is: secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities — a more direct foundation-model-vendor relationship than most peers on this list disclose. They also differ in team size (Not disclosed vs 650+), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Healthcare vs Fintech, Financial Services).