Deviniti vs Riseup Labs: full comparison for 2026
Last updated: August 2026
Quick verdict
Deviniti (4.0/5) edges ahead of Riseup Labs (3.7/5) overall. Deviniti is the better choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. Riseup Labs is the stronger option for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development.. The right choice depends on your project size, budget, and required tech stack.
Deviniti vs Riseup Labs: head-to-head summary
| Criterion | Deviniti | Riseup Labs |
|---|---|---|
| Founded | 2004 | 2009 |
| HQ | Wrocław, Poland | Dhaka, Bangladesh |
| Team size | 201–500 | 51–200 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner. | Startups and budget-constrained teams needing a lower-cost entry point into agentic AI development. |
| Pricing model | Fixed project, dedicated team | Fixed project, staff augmentation |
| Min. engagement | $20K (per company website; independently unverifiable) | $10K (per company website; independently unverifiable) |
| Primary tech stack | Python, Java, LangChain | Python, LangChain, AWS |
| Industries served | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce | Retail & E-commerce, Technology & SaaS, Healthcare |
Deviniti vs Riseup Labs: overview
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. It grew out of enterprise IT solutions for the financial sector and built a significant Atlassian-ecosystem practice (apps and consulting) before extending into broader enterprise software and, more recently, agentic AI. Its AI-agent practice is newer than its Atlassian and enterprise-software work, so buyers should weight recent agent-specific references more heavily than the firm's overall tenure.
Riseup Labs
Riseup Labs is an IT services company founded in 2009 and headquartered in Dhaka, Bangladesh, with roughly 175 employees delivering AI-powered software and broader digital transformation services. Its South Asian cost base makes it one of the more accessible options on this list for budget-constrained agent projects, led by founder and CEO Ershadul Hoque. As a smaller, regionally concentrated firm, it has a shorter enterprise-scale track record than the larger, longer-established competitors on this list.
Services and capabilities: Deviniti vs Riseup Labs
| Capability | Deviniti | Riseup Labs |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Deviniti vs Riseup Labs
| Framework / platform | Deviniti | Riseup Labs |
|---|---|---|
| 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 | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Deviniti vs Riseup Labs
| Criterion | Deviniti | Riseup Labs |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $10K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Deviniti vs Riseup Labs
| Dimension | Deviniti | Riseup Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Manufacturing, Technology & SaaS | Retail & E-commerce, Technology & SaaS, Healthcare |
| Best use cases | Building workflow-integration agents for teams already running Atlassian tooling, Automating internal enterprise processes for financial-sector clients | Budget-constrained startups needing a functional agent prototype, Extending an internal team with lower-cost offshore agentic AI development capacity |
| Typical project type | Fixed project | Fixed project |
Deviniti vs Riseup Labs: pros and cons
| Deviniti | |
|---|---|
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | Established Atlassian-ecosystem practice gives it a natural workflow-integration angle for agents |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record than its overall tenure suggests |
| - | Less name recognition in AI-specific buyer circles compared to AI-first competitors |
| - | Public agent-specific case studies are limited relative to its Atlassian portfolio |
| Riseup Labs | |
|---|---|
| + | South Asian cost base makes it one of the more budget-accessible firms on this list |
| + | 15+ years of IT services delivery history since founding in 2009 |
| + | Founder-led continuity under CEO Ershadul Hoque |
| + | AI-powered software positioning suggests active investment in current AI tooling |
| - | Smaller, more regionally concentrated team than larger global competitors on this list |
| - | Fewer large-enterprise or regulated-industry public case studies than established Western firms |
| - | Time-zone distance from US/EU clients may require more asynchronous project management |
Who should choose Deviniti?
Deviniti is the right choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, 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.
Who should choose Riseup Labs?
Riseup Labs is the right choice for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development..
South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects.. Minimum engagement starts at $10K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Technology & SaaS, Healthcare.
Decision matrix: Deviniti vs Riseup Labs
| 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 | Riseup Labs |
| You need specialist depth in a specific vertical | Deviniti |
| 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: Deviniti vs Riseup Labs
| Use case | Deviniti fit | Riseup Labs fit | Winner |
|---|---|---|---|
| Building workflow-integration agents for teams already running Atlassian tooling | Strong | Limited | Deviniti |
| Automating internal enterprise processes for financial-sector clients | Strong | Limited | Deviniti |
| Budget-constrained startups needing a functional agent prototype | Limited | Strong | Riseup Labs |
| Extending an internal team with lower-cost offshore agentic AI development capacity | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Deviniti vs Riseup Labs
Deviniti (4.0/5) is the stronger overall choice for most AI Agent Development projects. Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration.. It is best for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Riseup Labs (3.7/5) is the better choice when startups and budget-constrained teams needing a lower-cost entry point into agentic AI development.. If your situation matches those criteria, Riseup Labs is a competitive option.
Related comparisons
Deviniti vs Riseup Labs FAQ
Is Deviniti better than Riseup Labs?
Deviniti (4.0/5) scores higher overall, but "better" depends on your use case. Deviniti is better for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. Riseup Labs is better for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development..
How do Deviniti and Riseup Labs differ in pricing?
Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). Riseup Labs uses fixed project, staff augmentation pricing with a minimum engagement of $10K (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: Deviniti or Riseup Labs?
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 company before shortlisting.
What are the main differences between Deviniti and Riseup Labs?
Deviniti's primary differentiator is: two decades of enterprise systems-integration work, including deep atlassian-ecosystem expertise, applied to agent workflow integration.. Riseup Labs's primary differentiator is: south asian cost base combined with 15+ years of it services history, aimed at budget-conscious agent projects.. They also differ in team size (201–500 vs 51–200), minimum engagement ($20K (per company website; independently unverifiable) vs $10K (per company website; independently unverifiable)), and primary industries served (Financial Services, Manufacturing vs Retail & E-commerce, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.