Markovate vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Markovate (3.8/5) edges ahead of Deviniti (3.5/5) overall. Markovate is the better choice for startups and mid-market buyers wanting generative AI features bundled with broader product development. Deviniti is the stronger option for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. The right choice depends on your project size, budget, and required tech stack.
Markovate vs Deviniti: head-to-head summary
| Criterion | Markovate | Deviniti |
|---|---|---|
| Founded | 2015 | 2004 |
| HQ | San Francisco, USA | Wrocław, Poland |
| Team size | 51-200 | 201-250 |
| Rating | 3.8 / 5 | 3.5 / 5 |
| Best for | Startups and mid-market buyers wanting generative AI features bundled with broader product development | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Fixed project, T&M | Fixed project, dedicated team |
| Min. engagement | $20K | $15K |
| Primary tech stack | OpenAI, LangChain, AWS | AWS, Azure, Python |
| Industries served | Fintech, Healthcare, SaaS | SaaS, Manufacturing, Fintech |
Markovate vs Deviniti: overview
Markovate
Markovate was founded in 2015 and reports headquarters in both San Francisco and Toronto, with roughly 51-200 employees spread across Asia, North America, and Europe. The company is led by CEO Rajeev Sharma, a former AT&T and IBM AI leader, and offers AI consulting, generative AI development, and agentic AI alongside blockchain and mobile/web development.
Deviniti
Deviniti was founded on December 13, 2004 in Wrocław, Poland by Piotr Jan Dorosz and Jacek Michał Machata, and now has 250+ employees. The company combines Atlassian-focused consulting and marketplace apps with custom software development, cloud/DevOps, and AI application services.
Services and capabilities: Markovate vs Deviniti
| Capability | Markovate | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✗ |
| Workflow integration | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| Enterprise automation | ✗ | ✓ |
| Customer support agents | ✓ | ✗ |
Tech stack comparison: Markovate vs Deviniti
| Framework / platform | Markovate | Deviniti |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Deviniti
| Criterion | Markovate | Deviniti |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Fixed project, T&M, Staff augmentation | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Markovate vs Deviniti
| Dimension | Markovate | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | SaaS, Manufacturing, Fintech |
| Best use cases | Generative AI product features, RAG-based knowledge agents | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Fixed project | Fixed project |
Markovate vs Deviniti: pros and cons
| Markovate | |
|---|---|
| + | CEO brings direct enterprise AI leadership background (AT&T, IBM) |
| + | Broad service range (AI, blockchain, mobile/web) suits full-product-build buyers |
| + | Mid-size team balances senior attention with reasonable delivery capacity |
| - | Conflicting HQ reporting (San Francisco vs. Toronto) across sources — worth confirming legal HQ directly |
| - | Multi-service breadth means less narrow specialization than agent-only boutiques |
| Deviniti | |
|---|---|
| + | 20+ years of operating history with a clear founding date and leadership |
| + | Deep Atlassian ecosystem expertise supports agent integration into existing workflow tools |
| + | Combines marketplace product development with custom consulting delivery |
| - | Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain |
| - | AI application work is a newer addition relative to its two-decade core consulting history |
Who should choose Markovate?
Markovate is the right choice for startups and mid-market buyers wanting generative AI features bundled with broader product development.
Leadership with direct enterprise AI experience (AT&T, IBM) applied to a boutique-scale delivery team. Minimum engagement starts at $20K. Works best with clients in Fintech, Healthcare, SaaS.
Who should choose Deviniti?
Deviniti is the right choice for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. Minimum engagement starts at $15K. Works best with clients in SaaS, Manufacturing, Fintech.
Decision matrix: Markovate vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Markovate |
| You need a large dedicated team for an ongoing programme | Deviniti |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | Markovate |
| 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: Markovate vs Deviniti
| Use case | Markovate fit | Deviniti fit | Winner |
|---|---|---|---|
| Generative AI product features | Strong | Limited | Markovate |
| RAG-based knowledge agents | Strong | Limited | Markovate |
| Atlassian-integrated workflow agents | Limited | Strong | Deviniti |
| Custom AI application development | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs Deviniti
Markovate (3.8/5) is the stronger overall choice for most AI Agent Development projects. Leadership with direct enterprise AI experience (AT&T, IBM) applied to a boutique-scale delivery team. It is best for startups and mid-market buyers wanting generative AI features bundled with broader product development.
Deviniti (3.5/5) is the better choice when teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
Markovate vs Deviniti FAQ
Is Markovate better than Deviniti?
Markovate (3.8/5) scores higher overall, but "better" depends on your use case. Markovate is better for startups and mid-market buyers wanting generative AI features bundled with broader product development. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Markovate and Deviniti differ in pricing?
Markovate uses fixed project, t&m pricing with a minimum engagement of $20K. Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Markovate 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 company before shortlisting.
What are the main differences between Markovate and Deviniti?
Markovate's primary differentiator is: leadership with direct enterprise ai experience (at&t, ibm) applied to a boutique-scale delivery team. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (51-200 vs 201-250), minimum engagement ($20K vs $15K), and primary industries served (Fintech, Healthcare vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.