WeAreBrain vs SPD Technology: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of SPD Technology (3.9/5) overall. WeAreBrain is the better choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. SPD Technology is the stronger option for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs SPD Technology: head-to-head summary
| Criterion | WeAreBrain | SPD Technology |
|---|---|---|
| Founded | 2015 | 2006 |
| HQ | Netherlands (internationally distributed team) | London, United Kingdom |
| Team size | 60+ | 650+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience. |
| Pricing model | Dedicated team, fixed project | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, OpenAI API, Anthropic API |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Fintech, Financial Services |
WeAreBrain vs SPD Technology: overview
WeAreBrain
WeAreBrain is a Netherlands-headquartered AI-native product studio founded in 2015, combining AI product development with software modernization, e-commerce integrations, and automation services. It describes itself as 'a winning team, not an agency,' with a 60+ person, 13-nationality team and an average client tenure of 3.8 years, alongside an NPS score above 80 (per company website). Named clients include SidelineSwap and clevergig, which was acquired by Visma.
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: WeAreBrain vs SPD Technology
| Capability | WeAreBrain | SPD Technology |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✗ | ✓ |
Tech stack comparison: WeAreBrain vs SPD Technology
| Framework / platform | WeAreBrain | 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: WeAreBrain vs SPD Technology
| Criterion | WeAreBrain | SPD Technology |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs SPD Technology
| Dimension | WeAreBrain | SPD Technology |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Transport & Logistics, Healthcare, EdTech | Fintech, Financial Services |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Fintech and payments platform AI features, OpenAI/Anthropic-based generative AI integrations |
| Typical project type | Dedicated team | Fixed project |
WeAreBrain vs SPD Technology: pros and cons
| WeAreBrain | |
|---|---|
| + | 80+ NPS and 3.8-year average client tenure signal strong retention (per company website) |
| + | 13-nationality team supports multilingual, multi-market European delivery |
| + | Combines AI-native product development with broader software modernization services |
| + | Founded 2015 with a decade of continuous operation |
| - | Broader software, e-commerce, and automation service lines mean ML is one of several offerings, not the sole focus |
| - | 60+ team size is modest relative to enterprise-scale competitors on this list |
| - | Notable named clients (SidelineSwap, clevergig) are smaller-profile than some competitors' enterprise logos |
| 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 WeAreBrain?
WeAreBrain is the right choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. Minimum engagement starts at Not published. Works best with clients in Transport & Logistics, Healthcare, EdTech, Retail/E-commerce.
Who should choose SPD Technology?
SPD Technology is the right choice for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience..
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: WeAreBrain vs SPD Technology
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | WeAreBrain |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | Compare: WeAreBrain (Not published) vs SPD Technology (Not published) |
| You need specialist depth in a specific vertical | WeAreBrain |
| You need staff augmentation or team extension | SPD Technology |
| You need consulting before committing to a build | WeAreBrain |
Use case fit: WeAreBrain vs SPD Technology
| Use case | WeAreBrain fit | SPD Technology fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| 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: WeAreBrain vs SPD Technology
WeAreBrain (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. It is best for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
SPD Technology (3.9/5) is the better choice when fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience.. If your situation matches those criteria, SPD Technology is a competitive option.
Related comparisons
WeAreBrain vs SPD Technology FAQ
Is WeAreBrain better than SPD Technology?
WeAreBrain (4.3/5) scores higher overall, but "better" depends on your use case. WeAreBrain is better for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. SPD Technology is better for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience..
How do WeAreBrain and SPD Technology differ in pricing?
WeAreBrain uses dedicated team, fixed project 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: WeAreBrain 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 WeAreBrain and SPD Technology?
WeAreBrain's primary differentiator is: frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. 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 (60+ vs 650+), minimum engagement (Not published vs Not published), and primary industries served (Transport & Logistics, Healthcare vs Fintech, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.