Deviniti vs SPD Technology: full comparison for 2026
Last updated: July 2026
Quick verdict
Deviniti (4.0/5) edges ahead of SPD Technology (3.9/5) overall. Deviniti is the better choice for enterprises in regulated or complex sectors wanting generative AI, RAG, and LLM work delivered by a vendor with deep enterprise-software (Atlassian ecosystem) roots.. 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.
Deviniti vs SPD Technology: head-to-head summary
| Criterion | Deviniti | SPD Technology |
|---|---|---|
| Founded | 2004 | 2006 |
| HQ | Wrocław, Poland | London, United Kingdom |
| Team size | 300+ | 650+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Enterprises in regulated or complex sectors wanting generative AI, RAG, and LLM work delivered by a vendor with deep enterprise-software (Atlassian ecosystem) roots. | 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 | Fixed project, staff augmentation | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LLM fine-tuning tooling, RAG architectures | Python, OpenAI API, Anthropic API |
| Industries served | Financial Institutions, Regulated enterprise IT | Fintech, Financial Services |
Deviniti vs SPD Technology: overview
Deviniti
Deviniti is a Wrocław, Poland software house founded in 2004, with 300+ specialists serving over 15,000 clients across 38 countries (per company website). It holds 50+ Atlassian-certified professionals and was a 2024–2025 Atlassian Partner of the Year finalist for Emerging Markets, and has more recently built out generative AI, custom AI agent, self-hosted LLM, LLM fine-tuning, and RAG architecture capabilities, including contributions to the open-source Bielik.AI project.
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: Deviniti vs SPD Technology
| Capability | Deviniti | SPD Technology |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✓ | ✓ |
Tech stack comparison: Deviniti vs SPD Technology
| Framework / platform | Deviniti | 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: Deviniti vs SPD Technology
| Criterion | Deviniti | SPD Technology |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Staff augmentation, 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: Deviniti vs SPD Technology
| Dimension | Deviniti | SPD Technology |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Financial Institutions, Regulated enterprise IT | Fintech, Financial Services |
| Best use cases | Self-hosted LLM and RAG system development, AI chatbot and knowledge-base solutions for enterprises | Fintech and payments platform AI features, OpenAI/Anthropic-based generative AI integrations |
| Typical project type | Fixed project | Fixed project |
Deviniti vs SPD Technology: pros and cons
| Deviniti | |
|---|---|
| + | 300+ specialists and 15,000+ clients across 38 countries show significant delivery scale (per company website) |
| + | Contributions to the open-source Bielik.AI project demonstrate genuine LLM/NLP engineering, not just integration work |
| + | Deep Atlassian-ecosystem expertise is a strong complementary asset for enterprise clients running Jira/Confluence-based workflows |
| + | Founded 2004 — two decades of enterprise software delivery experience |
| - | Generative AI and RAG practice is newer than its core Atlassian and enterprise-software business, so ML-specific track record is shorter than the overall company history suggests |
| - | 300+ specialists are split across Atlassian consulting and AI/software delivery, so dedicated AI headcount is unclear |
| - | 15,000+ client claim is per company marketing and not independently broken down by service line |
| 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 Deviniti?
Deviniti is the right choice for enterprises in regulated or complex sectors wanting generative AI, RAG, and LLM work delivered by a vendor with deep enterprise-software (Atlassian ecosystem) roots..
50+ Atlassian-certified professionals and Atlassian Partner of the Year finalist status give it unusually strong enterprise-IT integration credibility alongside its generative AI practice and Bielik.AI open-source contributions.. Minimum engagement starts at Not published. Works best with clients in Financial Institutions, Regulated enterprise IT.
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: Deviniti vs SPD Technology
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Deviniti |
| You need a large dedicated team for an ongoing programme | Deviniti |
| Your budget is at the lower end | Compare: Deviniti (Not published) vs SPD Technology (Not published) |
| You need specialist depth in a specific vertical | Deviniti |
| You need staff augmentation or team extension | Deviniti |
| You need consulting before committing to a build | Deviniti |
Use case fit: Deviniti vs SPD Technology
| Use case | Deviniti fit | SPD Technology fit | Winner |
|---|---|---|---|
| Self-hosted LLM and RAG system development | Strong | Limited | Deviniti |
| AI chatbot and knowledge-base solutions for enterprises | Strong | Strong | Both equally |
| 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: Deviniti vs SPD Technology
Deviniti (4.0/5) is the stronger overall choice for most Machine Learning Development projects. 50+ Atlassian-certified professionals and Atlassian Partner of the Year finalist status give it unusually strong enterprise-IT integration credibility alongside its generative AI practice and Bielik.AI open-source contributions.. It is best for enterprises in regulated or complex sectors wanting generative AI, RAG, and LLM work delivered by a vendor with deep enterprise-software (Atlassian ecosystem) roots..
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
Deviniti vs SPD Technology FAQ
Is Deviniti better than SPD Technology?
Deviniti (4.0/5) scores higher overall, but "better" depends on your use case. Deviniti is better for enterprises in regulated or complex sectors wanting generative AI, RAG, and LLM work delivered by a vendor with deep enterprise-software (Atlassian ecosystem) roots.. 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 Deviniti and SPD Technology differ in pricing?
Deviniti uses fixed project, staff augmentation 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: Deviniti 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 Deviniti and SPD Technology?
Deviniti's primary differentiator is: 50+ atlassian-certified professionals and atlassian partner of the year finalist status give it unusually strong enterprise-it integration credibility alongside its generative ai practice and bielik.ai open-source contributions.. 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 (300+ vs 650+), minimum engagement (Not published vs Not published), and primary industries served (Financial Institutions, Regulated enterprise IT vs Fintech, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.