Turing vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Turing (4.6/5) edges ahead of Deviniti (3.4/5) overall. Turing is the better choice for engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems. 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.
Turing vs Deviniti: head-to-head summary
| Criterion | Turing | Deviniti |
|---|---|---|
| Founded | 2018 | 2004 |
| HQ | Palo Alto, CA, USA | Wrocław, Poland |
| Team size | 1000+ | 201-250 |
| Rating | 4.6 / 5 | 3.4 / 5 |
| Best for | Engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Dedicated team, T&M | Fixed project, dedicated team |
| Min. engagement | $40K | $15K |
| Primary tech stack | LangGraph, AutoGen, OpenAI | AWS, Azure, Python |
| Industries served | SaaS, Fintech, Healthcare | SaaS, Manufacturing, Fintech |
Turing vs Deviniti: overview
Turing
Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California, with an engineering bench reported between roughly 1,000 and 6,995 depending on source. The company has evolved from a talent-as-a-service model into advanced AGI infrastructure work, focusing on AI reasoning, complex problem-solving, and sophisticated coding capabilities for agent systems.
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: Turing vs Deviniti
| Capability | Turing | Deviniti |
|---|---|---|
| Multi-agent systems | ✓ | ✗ |
| Agent orchestration | ✓ | ✗ |
| Coding agents | ✓ | ✗ |
| Monitoring agents | ✓ | ✗ |
| Workflow integration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Turing vs Deviniti
| Framework / platform | Turing | Deviniti |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | 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 |
Pricing comparison: Turing vs Deviniti
| Criterion | Turing | Deviniti |
|---|---|---|
| Minimum engagement | $40K | $15K |
| Engagement models | Dedicated team, T&M, Staff augmentation | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Turing vs Deviniti
| Dimension | Turing | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Manufacturing, Fintech |
| Best use cases | Reasoning-heavy agent system engineering, Elite technical talent augmentation | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Dedicated team | Fixed project |
Turing vs Deviniti: pros and cons
| Turing | |
|---|---|
| + | Very large vetted engineering bench supports rapid, high-caliber team scaling |
| + | Genuine AGI-infrastructure specialization in reasoning and coding capabilities, not generic staffing |
| + | $247M+ raised and $2.2B valuation provide strong financial backing and stability |
| - | High marketing visibility means buyers should verify project-specific technical fit rather than relying on brand alone |
| - | Talent-marketplace roots mean less full-project ownership than an agency-style delivery firm on some engagements |
| 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 Turing?
Turing is the right choice for engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems.
Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench. Minimum engagement starts at $40K. Works best with clients in SaaS, Fintech, Healthcare.
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: Turing vs Deviniti
| 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 | Turing |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | Turing |
| 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: Turing vs Deviniti
| Use case | Turing fit | Deviniti fit | Winner |
|---|---|---|---|
| Reasoning-heavy agent system engineering | Strong | Limited | Turing |
| Elite technical talent augmentation | Strong | Limited | Turing |
| Atlassian-integrated workflow agents | Limited | Strong | Deviniti |
| Custom AI application development | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Turing vs Deviniti
Turing (4.6/5) is the stronger overall choice for most AI Agent projects. Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench. It is best for engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems.
Deviniti (3.4/5) 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
Turing vs Deviniti FAQ
Is Turing better than Deviniti?
Turing (4.6/5) scores higher overall, but "better" depends on your use case. Turing is better for engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Turing and Deviniti differ in pricing?
Turing uses dedicated team, t&m pricing with a minimum engagement of $40K. 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: Turing 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 developer before shortlisting.
What are the main differences between Turing and Deviniti?
Turing's primary differentiator is: deep agi-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (1000+ vs 201-250), minimum engagement ($40K vs $15K), and primary industries served (SaaS, Fintech vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.