GeekyAnts vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
GeekyAnts (4.1/5) edges ahead of Deviniti (3.5/5) overall. GeekyAnts is the better choice for product teams wanting AI-agent features embedded into a broader custom software build. 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.
GeekyAnts vs Deviniti: head-to-head summary
| Criterion | GeekyAnts | Deviniti |
|---|---|---|
| Founded | 2006 | 2004 |
| HQ | Bangalore, India | Wrocław, Poland |
| Team size | 201-500 | 201-250 |
| Rating | 4.1 / 5 | 3.5 / 5 |
| Best for | Product teams wanting AI-agent features embedded into a broader custom software build | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Dedicated team, fixed project | Fixed project, dedicated team |
| Min. engagement | $20K | $15K |
| Primary tech stack | LangChain, OpenAI, AWS | AWS, Azure, Python |
| Industries served | SaaS, Retail, Media | SaaS, Manufacturing, Fintech |
GeekyAnts vs Deviniti: overview
GeekyAnts
GeekyAnts was founded in 2006 and is headquartered in Bangalore, India, with a U.S. office in San Francisco and roughly 450-500 employees. The company runs an annual Geekathon event showcasing autonomous agents and multi-agent architectures, and offers generative AI, AI copilots, and agentic-workflow consulting alongside its core product engineering practice.
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: GeekyAnts vs Deviniti
| Capability | GeekyAnts | Deviniti |
|---|---|---|
| Multi-agent systems | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| Enterprise automation | ✗ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: GeekyAnts vs Deviniti
| Framework / platform | GeekyAnts | 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 | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: GeekyAnts vs Deviniti
| Criterion | GeekyAnts | Deviniti |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Dedicated team, Fixed project, Staff augmentation | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: GeekyAnts vs Deviniti
| Dimension | GeekyAnts | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Retail, Media | SaaS, Manufacturing, Fintech |
| Best use cases | AI copilot features in existing products, Agentic workflow prototypes | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Dedicated team | Fixed project |
GeekyAnts vs Deviniti: pros and cons
| GeekyAnts | |
|---|---|
| + | Strong product-engineering track record dating back to 2006 |
| + | Active internal R&D events (Geekathon) demonstrate ongoing agent-tech investment |
| + | Sizeable team (450-500) offers good delivery capacity at mid-market pricing |
| - | Broader product-engineering identity means agent work is one service line among several |
| - | US and India office split can add timezone coordination for real-time collaboration |
| 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 GeekyAnts?
GeekyAnts is the right choice for product teams wanting AI-agent features embedded into a broader custom software build.
18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon). Minimum engagement starts at $20K. Works best with clients in SaaS, Retail, Media.
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: GeekyAnts vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | GeekyAnts |
| You need a large dedicated team for an ongoing programme | GeekyAnts |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | GeekyAnts |
| 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: GeekyAnts vs Deviniti
| Use case | GeekyAnts fit | Deviniti fit | Winner |
|---|---|---|---|
| AI copilot features in existing products | Strong | Strong | Both equally |
| Agentic workflow prototypes | Strong | Limited | GeekyAnts |
| 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: GeekyAnts vs Deviniti
GeekyAnts (4.1/5) is the stronger overall choice for most AI Agent Development projects. 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon). It is best for product teams wanting AI-agent features embedded into a broader custom software build.
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
GeekyAnts vs Deviniti FAQ
Is GeekyAnts better than Deviniti?
GeekyAnts (4.1/5) scores higher overall, but "better" depends on your use case. GeekyAnts is better for product teams wanting AI-agent features embedded into a broader custom software build. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do GeekyAnts and Deviniti differ in pricing?
GeekyAnts uses dedicated team, fixed project 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: GeekyAnts or Deviniti?
GeekyAnts 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 GeekyAnts and Deviniti?
GeekyAnts's primary differentiator is: 18+ years of product engineering combined with an active internal ai-agent r&d program (geekathon). Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (201-500 vs 201-250), minimum engagement ($20K vs $15K), and primary industries served (SaaS, Retail vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.