Addepto vs Future Processing: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Future Processing (3.9/5) overall. Addepto is the better choice for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline.. 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.
Addepto vs Future Processing: head-to-head summary
| Criterion | Addepto | Future Processing |
|---|---|---|
| Founded | 2017 | 2000 |
| HQ | Warsaw, Poland | Gliwice, Poland |
| Team size | 50–249 | 750+ |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Best for | Mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline. | 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, Time & Materials | Fixed project, dedicated team |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, MLOps pipelines, AWS | Python, Computer vision frameworks, Cloud AI/ML platforms |
| Industries served | Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics | Insurance, Financial Services, Energy & Utilities, Healthcare, Automotive |
Addepto vs Future Processing: overview
Addepto
Addepto is a Warsaw, Poland AI consultancy founded in 2017 that explicitly positions its value around production-grade delivery — moving clients from proof-of-concept to production — rather than research exploration. It covers AI consulting, generative AI development, data engineering, MLOps, document processing, and computer vision, serving aviation, manufacturing, automotive, finance, retail, healthcare, and logistics clients. Addepto is a GoodFirms top-rated firm for Big Data and Business Intelligence services, with a 50–249 employee band per Clutch.
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: Addepto vs Future Processing
| Capability | Addepto | Future Processing |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: Addepto vs Future Processing
| Framework / platform | Addepto | Future Processing |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Addepto vs Future Processing
| Criterion | Addepto | Future Processing |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Fixed project, Time & Materials, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / mid-market |
Target audience comparison: Addepto vs Future Processing
| Dimension | Addepto | Future Processing |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Aviation, Manufacturing, Automotive | Insurance, Financial Services, Energy & Utilities |
| Best use cases | Computer vision for document processing, MLOps pipeline hardening for existing proof-of-concepts | Insurance claims processing automation (futureClaims™), Computer vision for image and document processing |
| Typical project type | Fixed project | Fixed project |
Addepto vs Future Processing: pros and cons
| Addepto | |
|---|---|
| + | Broad industry coverage from aviation to legal shows delivery flexibility beyond a single vertical |
| + | Explicit MLOps and production focus addresses the common 'stuck in proof-of-concept' failure mode |
| + | $10K entry point is accessible for a mid-market pilot engagement |
| + | GoodFirms top-rated recognition for Big Data and Business Intelligence services |
| - | Broad industry spread can mean less depth in any single regulated vertical than a specialist boutique |
| - | Exact team size within the 50–249 Clutch band is not broken out by function |
| - | Public case studies are largely testimonial-based rather than published with hard metrics |
| 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 Addepto?
Addepto is the right choice for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline..
Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment.. Minimum engagement starts at $10,000+. Works best with clients in Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics.
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: Addepto vs Future Processing
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | Addepto |
| Your budget is at the lower end | Compare: Addepto ($10,000+) vs Future Processing (Not published) |
| You need specialist depth in a specific vertical | Addepto |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Future Processing
| Use case | Addepto fit | Future Processing fit | Winner |
|---|---|---|---|
| Computer vision for document processing | Strong | Strong | Both equally |
| MLOps pipeline hardening for existing proof-of-concepts | Strong | Limited | Addepto |
| Insurance claims processing automation (futureClaims™) | Limited | Strong | Future Processing |
| Computer vision for image and document processing | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Addepto vs Future Processing
Addepto (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment.. It is best for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline..
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
Addepto vs Future Processing FAQ
Is Addepto better than Future Processing?
Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto is better for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline.. 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 Addepto and Future Processing differ in pricing?
Addepto uses fixed project, time & materials pricing with a minimum engagement of $10,000+. 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: Addepto or Future Processing?
Addepto 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 Addepto and Future Processing?
Addepto's primary differentiator is: explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ml pilots never reach deployment.. 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 (50–249 vs 750+), minimum engagement ($10,000+ vs Not published), and primary industries served (Aviation, Manufacturing vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.