Deviniti vs Future Processing: full comparison for 2026
Last updated: July 2026
Quick verdict
Deviniti (4.0/5) edges ahead of Future Processing (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.. Future Processing is the stronger option for insurance, finance, and energy enterprises wanting an outcome-based AI vendor that explicitly differentiates on measurable ROI rather than generative AI hype.. The right choice depends on your project size, budget, and required tech stack.
Deviniti vs Future Processing: head-to-head summary
| Criterion | Deviniti | Future Processing |
|---|---|---|
| Founded | 2004 | 2000 |
| HQ | Wrocław, Poland | Gliwice, Poland |
| Team size | 300+ | 750+ |
| 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. | Insurance, finance, and energy enterprises wanting an outcome-based AI vendor that explicitly differentiates on measurable ROI rather than generative AI hype. |
| 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, Computer vision frameworks, Cloud AI/ML platforms |
| Industries served | Financial Institutions, Regulated enterprise IT | Insurance, Financial Services, Energy & Utilities, Healthcare, Automotive |
Deviniti vs Future Processing: 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.
Future Processing
Future Processing is a Gliwice, Poland software house founded in 2000, with 750+ professionals and over two decades of hands-on AI experience. It publicly states that 95% of generative AI pilots deliver no measurable return, positioning its own outcome-based delivery against that pattern with named case studies carrying hard metrics — a £5M revenue increase for Hiscox, 66% processing-time reduction for CareerSpring, and 50% AWS cost savings for TechSoup. It runs its own insurance-specific futureClaims™ platform, serving insurance, finance, media, energy, healthcare, and automotive clients.
Services and capabilities: Deviniti vs Future Processing
| Capability | Deviniti | Future Processing |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✓ | ✗ |
Tech stack comparison: Deviniti vs Future Processing
| Framework / platform | Deviniti | Future Processing |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | 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 Future Processing
| Criterion | Deviniti | Future Processing |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Staff augmentation, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: Deviniti vs Future Processing
| Dimension | Deviniti | Future Processing |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Financial Institutions, Regulated enterprise IT | Insurance, Financial Services, Energy & Utilities |
| Best use cases | Self-hosted LLM and RAG system development, AI chatbot and knowledge-base solutions for enterprises | Insurance claims processing automation (futureClaims™), Computer vision for image and document processing |
| Typical project type | Fixed project | Fixed project |
Deviniti vs Future Processing: 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 |
| Future Processing | |
|---|---|
| + | 750+ professionals and over two decades of hands-on AI experience (founded 2000) |
| + | Named case studies with specific hard metrics (£5M revenue increase for Hiscox, 50% AWS cost savings for TechSoup) rather than vague marketing claims |
| + | Explicit outcome-based positioning against low-ROI generative AI pilots is a differentiated, evidence-based pitch |
| + | Own insurance-specific platform (futureClaims™) shows productized domain expertise, not just generic delivery |
| - | 750+ person scale means AI/ML work is one practice among several enterprise software service lines |
| - | Insurance-sector platform specialization (futureClaims™) may not transfer directly to buyers outside insurance |
| - | Public messaging skepticism toward generative AI, while evidence-based, may signal more conservative GenAI adoption than clients seeking cutting-edge LLM work |
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 Future Processing?
Future Processing is the right choice for insurance, finance, and energy enterprises wanting an outcome-based AI vendor that explicitly differentiates on measurable ROI rather than generative AI hype..
Publicly states that 95% of generative AI pilots deliver no measurable return and positions its own outcome-based delivery approach against that failure pattern, backed by named case studies with hard percentage metrics.. Minimum engagement starts at Not published. Works best with clients in Insurance, Financial Services, Energy & Utilities, Healthcare, Automotive.
Decision matrix: Deviniti vs Future Processing
| 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 Future Processing (Not published) |
| You need specialist depth in a specific vertical | Future Processing |
| You need staff augmentation or team extension | Deviniti |
| You need consulting before committing to a build | Deviniti |
Use case fit: Deviniti vs Future Processing
| Use case | Deviniti fit | Future Processing fit | Winner |
|---|---|---|---|
| Self-hosted LLM and RAG system development | Strong | Limited | Deviniti |
| AI chatbot and knowledge-base solutions for enterprises | Strong | Strong | Both equally |
| Insurance claims processing automation (futureClaims™) | Limited | Strong | Future Processing |
| Computer vision for image and document processing | Limited | Strong | Future Processing |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Deviniti vs Future Processing
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..
Future Processing (3.9/5) is the better choice when insurance, finance, and energy enterprises wanting an outcome-based AI vendor that explicitly differentiates on measurable ROI rather than generative AI hype.. If your situation matches those criteria, Future Processing is a competitive option.
Related comparisons
Deviniti vs Future Processing FAQ
Is Deviniti better than Future Processing?
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.. Future Processing is better for insurance, finance, and energy enterprises wanting an outcome-based AI vendor that explicitly differentiates on measurable ROI rather than generative AI hype..
How do Deviniti and Future Processing differ in pricing?
Deviniti uses fixed project, staff augmentation pricing with a minimum engagement of Not published. Future Processing 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 Future Processing?
Future Processing 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 Future Processing?
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.. Future Processing's primary differentiator is: publicly states that 95% of generative ai pilots deliver no measurable return and positions its own outcome-based delivery approach against that failure pattern, backed by named case studies with hard percentage metrics.. They also differ in team size (300+ vs 750+), minimum engagement (Not published vs Not published), and primary industries served (Financial Institutions, Regulated enterprise IT vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.