MathCo vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
MathCo (4.1/5) edges ahead of Deviniti (3.8/5) overall. MathCo is the better choice for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations.. Deviniti is the stronger option for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. The right choice depends on your project size, budget, and required tech stack.
MathCo vs Deviniti: head-to-head summary
| Criterion | MathCo | Deviniti |
|---|---|---|
| Founded | 2016 | 2004 |
| HQ | Chicago, IL, USA | Wrocław, Poland |
| Team size | 1,001–5,000 | 201–500 |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Best for | Enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations. | Enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner. |
| Pricing model | Retainer, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, Java, LangChain |
| Industries served | Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce |
MathCo vs Deviniti: overview
MathCo
MathCo (formally TheMathCompany) was founded in 2016 and operates dual headquarters in Chicago, Illinois and Bangalore, India, with approximately 2,000 employees across five continents. A global enterprise AI and analytics company, it applies its data science and AI platform work to agentic AI, giving buyers a mid-large firm with genuine dual-continent leadership rather than a single offshore delivery center dressed up as a US company.
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 before extending into broader enterprise software and, more recently, agentic AI.
Services and capabilities: MathCo vs Deviniti
| Capability | MathCo | Deviniti |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: MathCo vs Deviniti
| Framework / platform | MathCo | Deviniti |
|---|---|---|
| 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 | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: MathCo vs Deviniti
| Criterion | MathCo | Deviniti |
|---|---|---|
| Minimum engagement | Not published | $20K (per company website; independently unverifiable) |
| Engagement models | Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: MathCo vs Deviniti
| Dimension | MathCo | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Retail & E-commerce, Manufacturing | Financial Services, Manufacturing, Technology & SaaS |
| Best use cases | Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement, Buyers wanting genuine dual-continent account leadership, not just offshore delivery | Building workflow-integration agents for teams already running Atlassian tooling, Automating internal enterprise processes for financial-sector clients |
| Typical project type | Retainer | Fixed project |
MathCo vs Deviniti: pros and cons
| MathCo | |
|---|---|
| + | Genuine dual headquarters (Chicago, Bangalore) rather than a US sales front over offshore delivery |
| + | A decade of enterprise AI and analytics history since 2016 |
| + | ~2,000 employees across five continents gives substantial bench depth |
| + | Existing enterprise data and AI platform work gives agentic use cases a mature foundation |
| - | Agentic AI is an application of a broader enterprise AI and analytics platform, not a standalone specialty |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Reported employee counts vary by source, worth confirming current headcount directly |
| 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 |
| - | 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 |
Who should choose MathCo?
MathCo is the right choice for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations..
Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS.
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.
Decision matrix: MathCo 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 | MathCo |
| Your budget is at the lower end | Compare: MathCo (Not published) vs Deviniti ($20K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | MathCo |
| 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: MathCo vs Deviniti
| Use case | MathCo fit | Deviniti fit | Winner |
|---|---|---|---|
| Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement | Strong | Limited | MathCo |
| Buyers wanting genuine dual-continent account leadership, not just offshore delivery | Strong | Limited | MathCo |
| Building workflow-integration agents for teams already running Atlassian tooling | Strong | Strong | Both equally |
| Automating internal enterprise processes for financial-sector clients | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: MathCo vs Deviniti
MathCo (4.1/5) is the stronger overall choice for most Agentic AI projects. Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. It is best for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations..
Deviniti (3.8/5) is the better choice when enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
MathCo vs Deviniti FAQ
Is MathCo better than Deviniti?
MathCo (4.1/5) scores higher overall, but "better" depends on your use case. MathCo is better for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations.. Deviniti is better for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
How do MathCo and Deviniti differ in pricing?
MathCo uses retainer, dedicated team pricing with a minimum engagement of Not published. 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: MathCo or Deviniti?
MathCo 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 MathCo and Deviniti?
MathCo's primary differentiator is: genuine dual headquarters (chicago and bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. Deviniti's primary differentiator is: two decades of enterprise systems-integration work, including deep atlassian-ecosystem expertise, applied to agent workflow integration.. They also differ in team size (1,001–5,000 vs 201–500), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Financial Services, Retail & E-commerce vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.