Matellio vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Matellio (3.8/5) edges ahead of Deviniti (3.8/5) overall. Matellio is the better choice for procurement teams wanting a single vendor for both agentic AI and a broader cloud-native application modernization contract.. Deviniti is the stronger option for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record.. The right choice depends on your project size, budget, and required tech stack.
Matellio vs Deviniti: head-to-head summary
| Criterion | Matellio | Deviniti |
|---|---|---|
| Founded | 2014 | 2004 |
| HQ | San Jose, CA, USA | Wrocław, Poland |
| Team size | 51–250 | 201–500 |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Best for | Procurement teams wanting a single vendor for both agentic AI and a broader cloud-native application modernization contract. | Buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, Java, LangChain |
| Industries served | Technology & SaaS, Healthcare, Retail & E-commerce, Manufacturing | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce |
Matellio vs Deviniti: overview
Matellio
Matellio is a custom software development company founded in 2014 and headquartered in San Jose, California, with additional offices in Denver and the UK and engineering labs in India, totaling roughly 150–250 people. Its client base ranges from startups to Fortune 500 companies, giving procurement teams a broad reference spectrum to request against a specific company-size profile. Agentic AI is one part of a broader AI and cloud engineering practice, so buyers wanting a pure AI-agent specialist should confirm current agent-team allocation before contracting.
Deviniti
Deviniti is a Wrocław, Poland-based software company founded in 2004 by Piotr Dorosz and Jacek Machata, with roughly 260 employees across Europe and North America. Its established Atlassian Marketplace app and consulting business gives procurement teams a checkable, independently reviewable track record (via Atlassian's own partner and marketplace listings) beyond the vendor's self-reported claims — a useful reference point that most competitors on this list lack. Agentic AI is a newer addition to that enterprise systems-integration practice, so buyers should weight recent agent-specific references over the firm's overall two-decade tenure.
Services and capabilities: Matellio vs Deviniti
| Capability | Matellio | Deviniti |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Matellio vs Deviniti
| Framework / platform | Matellio | Deviniti |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Matellio vs Deviniti
| Criterion | Matellio | Deviniti |
|---|---|---|
| Minimum engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Matellio vs Deviniti
| Dimension | Matellio | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Healthcare, Retail & E-commerce | Financial Services, Manufacturing, Technology & SaaS |
| Best use cases | Bundling agentic AI procurement with a broader enterprise cloud application modernization contract, Fortune 500 buyers wanting reference checks against similarly sized past clients | Buyers wanting a vendor whose track record can be independently checked via a third-party marketplace, Workflow-integration agents for teams already running Atlassian tooling under an existing contract |
| Typical project type | Fixed project | Fixed project |
Matellio vs Deviniti: pros and cons
| Matellio | |
|---|---|
| + | Multi-region footprint (San Jose, Denver, UK, India) suits buyers wanting both US-based and offshore delivery |
| + | Serves everything from startups to Fortune 500 clients, giving a broad reference range for RFP checks |
| + | Cloud-native application engineering background helps agents integrate cleanly into modern architectures |
| + | Ten-plus years of operating history at a mid-size, still-agile headcount |
| - | Agentic AI is one offering within a broad custom-software portfolio rather than the sole specialty |
| - | Reported headcount varies notably by source (roughly 147 to 250+), worth confirming directly during procurement |
| - | Public case studies emphasize app modernization more than agent-specific outcomes |
| Deviniti | |
|---|---|
| + | Atlassian Marketplace and partner listings give procurement an independently checkable track record |
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability through a long contract lifecycle |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record |
| - | Less name recognition in AI-specific procurement circles compared to AI-first competitors |
| - | Public agent-specific case studies are limited relative to its Atlassian portfolio |
Who should choose Matellio?
Matellio is the right choice for procurement teams wanting a single vendor for both agentic AI and a broader cloud-native application modernization contract..
Serves both startups and Fortune 500 clients from the same practice, giving procurement a reference spectrum matched to company size.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Healthcare, Retail & E-commerce, Manufacturing.
Who should choose Deviniti?
Deviniti is the right choice for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record..
An Atlassian Marketplace and partner track record independently checkable outside the vendor's own claims, applied to agent workflow integration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce.
Decision matrix: Matellio vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Matellio |
| You need a large dedicated team for an ongoing programme | Matellio |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | Matellio |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Matellio vs Deviniti
| Use case | Matellio fit | Deviniti fit | Winner |
|---|---|---|---|
| Bundling agentic AI procurement with a broader enterprise cloud application modernization contract | Strong | Limited | Matellio |
| Fortune 500 buyers wanting reference checks against similarly sized past clients | Strong | Limited | Matellio |
| Buyers wanting a vendor whose track record can be independently checked via a third-party marketplace | Strong | Strong | Both equally |
| Workflow-integration agents for teams already running Atlassian tooling under an existing contract | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Matellio vs Deviniti
Matellio (3.8/5) is the stronger overall choice for most AI Agent Development projects. Serves both startups and Fortune 500 clients from the same practice, giving procurement a reference spectrum matched to company size.. It is best for procurement teams wanting a single vendor for both agentic AI and a broader cloud-native application modernization contract..
Deviniti (3.8/5) is the better choice when buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record.. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
Matellio vs Deviniti FAQ
Is Matellio better than Deviniti?
Matellio (3.8/5) scores higher overall, but "better" depends on your use case. Matellio is better for procurement teams wanting a single vendor for both agentic AI and a broader cloud-native application modernization contract.. Deviniti is better for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record..
How do Matellio and Deviniti differ in pricing?
Matellio uses fixed project, dedicated team pricing with a minimum engagement of $25K (per company website; independently unverifiable). Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Matellio or Deviniti?
Deviniti is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Matellio and Deviniti?
Matellio's primary differentiator is: serves both startups and fortune 500 clients from the same practice, giving procurement a reference spectrum matched to company size.. Deviniti's primary differentiator is: an atlassian marketplace and partner track record independently checkable outside the vendor's own claims, applied to agent workflow integration.. They also differ in team size (51–250 vs 201–500), minimum engagement ($25K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Healthcare vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each provider before making a decision.