Markovate vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Markovate (3.9/5) edges ahead of Deviniti (3.8/5) overall. Markovate is the better choice for buyers who want a straightforward fixed-price or dedicated-team contract from a specialist with pre-agentic LLM development history.. 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.
Markovate vs Deviniti: head-to-head summary
| Criterion | Markovate | Deviniti |
|---|---|---|
| Founded | 2015 | 2004 |
| HQ | San Francisco, CA, USA | Wrocław, Poland |
| Team size | 51–200 | 201–500 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Buyers who want a straightforward fixed-price or dedicated-team contract from a specialist with pre-agentic LLM development history. | 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, OpenAI | Python, Java, LangChain |
| Industries served | Technology & SaaS, Retail & E-commerce, Healthcare, Financial Services | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce |
Markovate vs Deviniti: overview
Markovate
Markovate is a generative-AI and LLM specialist founded in 2015, headquartered in San Francisco with additional offices in Toronto and Gurugram, and roughly 51–200 employees. Its contract structures are limited to fixed project and dedicated team models — procurement teams needing a time-and-materials or staff-augmentation-only arrangement should confirm availability directly, as it isn't advertised as a standard option. Its core specialization in LLM development and prompt engineering predates the current agentic AI wave, giving its agent work a longer internal track record than firms that only recently added agentic AI to their service list.
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: Markovate vs Deviniti
| Capability | Markovate | Deviniti |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✗ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Markovate vs Deviniti
| Framework / platform | Markovate | Deviniti |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | ✓ | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Deviniti
| Criterion | Markovate | 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: Markovate vs Deviniti
| Dimension | Markovate | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Healthcare | Financial Services, Manufacturing, Technology & SaaS |
| Best use cases | Fixed-price agent builds with a well-defined scope and deliverable, Dedicated-team engagements for ongoing LLM and agent product development | 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 |
Markovate vs Deviniti: pros and cons
| Markovate | |
|---|---|
| + | Contract structures (fixed project, dedicated team) are clearly stated, simplifying early RFP scoping |
| + | Deep prior specialization in LLM development and prompt engineering predates its agent work |
| + | Multi-hub delivery (San Francisco, Toronto, Gurugram) balances US client proximity with offshore cost |
| + | Mid-size team keeps senior engineers hands-on rather than delegated to junior staff |
| - | No advertised time-and-materials or pure staff-augmentation option, limiting contract flexibility for some buyers |
| - | No large-enterprise compliance certifications comparable to the global systems integrators on this list |
| - | 51–200 headcount caps capacity for simultaneous large multi-team procurement programs |
| 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 Markovate?
Markovate is the right choice for buyers who want a straightforward fixed-price or dedicated-team contract from a specialist with pre-agentic LLM development history..
LLM development and prompt engineering specialization that predates its agentic AI offering, giving agent work a longer internal track record.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Retail & E-commerce, Healthcare, Financial Services.
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: 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 | Markovate |
| 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 |
|---|---|---|---|
| Fixed-price agent builds with a well-defined scope and deliverable | Strong | Limited | Markovate |
| Dedicated-team engagements for ongoing LLM and agent product development | Strong | Limited | Markovate |
| 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 | Strong | Limited | Markovate |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs Deviniti
Markovate (3.9/5) is the stronger overall choice for most AI Agent Development projects. LLM development and prompt engineering specialization that predates its agentic AI offering, giving agent work a longer internal track record.. It is best for buyers who want a straightforward fixed-price or dedicated-team contract from a specialist with pre-agentic LLM development history..
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
Markovate vs Deviniti FAQ
Is Markovate better than Deviniti?
Markovate (3.9/5) scores higher overall, but "better" depends on your use case. Markovate is better for buyers who want a straightforward fixed-price or dedicated-team contract from a specialist with pre-agentic LLM development history.. Deviniti is better for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record..
How do Markovate and Deviniti differ in pricing?
Markovate 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: 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 provider before shortlisting.
What are the main differences between Markovate and Deviniti?
Markovate's primary differentiator is: llm development and prompt engineering specialization that predates its agentic ai offering, giving agent work a longer internal track record.. 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 (51–200 vs 201–500), minimum engagement ($25K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each provider before making a decision.