XenonStack vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
XenonStack (4.4/5) edges ahead of MobiDev (4.3/5) overall. XenonStack is the better choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. MobiDev is the stronger option for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. The right choice depends on your project size, budget, and required tech stack.
XenonStack vs MobiDev: head-to-head summary
| Criterion | XenonStack | MobiDev |
|---|---|---|
| Founded | 2016 | 2009 |
| HQ | Mohali, India | Atlanta, Georgia, United States |
| Team size | 50–100 | 201–500 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | Companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer. | US and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm. |
| Pricing model | Project-based, retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Kubernetes, Apache Kafka, AWS | TensorFlow, PyTorch, OpenCV |
| Industries served | FinTech, Manufacturing, Telecom, Retail & E-commerce | Healthcare, Retail & E-commerce, FinTech, Manufacturing |
XenonStack vs MobiDev: overview
XenonStack
XenonStack was founded in 2016 by Navdeep Singh Gill and is based in Mohali, India, operating as a technology consulting company centered on real-time data, generative AI, and agentic AI platform engineering. The company has grown from roughly 63 employees in 2023 to about 97 in 2026 and holds AWS, Azure, and Google Cloud partner status, alongside membership in the Cloud Native Computing Foundation and LF AI & Data. Its bootstrapped, revenue-funded growth (reported ~$3.8M ARR) suggests a stable but still relatively small operation for enterprise-scale programs.
MobiDev
MobiDev was founded in 2009 and is headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine staffing roughly 400 engineers. The company extended into dedicated AI consulting and engineering in 2018 and was recognized by Clutch as the #1 Machine Learning development company in 2021. Employee-count sources vary — Clutch cites around 150, while company materials cite 400+ — so prospective clients should confirm current team size for their specific engagement.
Services and capabilities: XenonStack vs MobiDev
| Capability | XenonStack | MobiDev |
|---|---|---|
| Custom ML Models | ✗ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✓ |
| MLOps | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: XenonStack vs MobiDev
| Framework / platform | XenonStack | MobiDev |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: XenonStack vs MobiDev
| Criterion | XenonStack | MobiDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Retainer, Dedicated team | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: XenonStack vs MobiDev
| Dimension | XenonStack | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Telecom | Healthcare, Retail & E-commerce, FinTech |
| Best use cases | Enterprise needs a real-time data platform feeding downstream ML models., Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project., Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). |
| Typical project type | Project-based | Dedicated team |
XenonStack vs MobiDev: pros and cons
| XenonStack | |
|---|---|
| + | Multi-cloud partner status across AWS, Azure, and Google Cloud gives flexibility on platform choice rather than pushing a single vendor stack. |
| + | Bootstrapped and profitable growth trajectory (reported ~$3.8M ARR) signals operational stability without dependence on external funding rounds. |
| + | Cloud Native Computing Foundation and LF AI & Data membership reflects genuine open-source platform engineering involvement, not just marketing claims. |
| + | Specialization in agentic and real-time AI platform engineering is a differentiated niche versus generalist ML shops. |
| - | Team size of roughly 97 (2026) is small relative to the scale of enterprise real-time data platform programs it targets. |
| - | Conflicting HQ reports (Mohali, India vs. Dubai, UAE across sources) make it worth confirming the primary legal entity before contracting. |
| MobiDev | |
|---|---|
| + | Clutch's #1 Machine Learning development company ranking in 2021 is a third-party, verifiable recognition rather than self-reported. |
| + | Dedicated AI consulting/engineering practice since 2018, not a general software shop retrofitting AI onto its offering. |
| + | Dual R&D centers in Poland and Ukraine provide geographic delivery redundancy. |
| + | 15+ years of company history (since 2009) predates the current AI hiring boom, indicating organic rather than opportunistic AI growth. |
| - | Employee-count sources conflict meaningfully (150 on Clutch vs. 400+ on company materials) — confirm current AI-team headcount directly before contracting. |
| - | US headquarters is primarily a commercial front office; delivery is centered in Poland/Ukraine, which is standard for the model but worth knowing upfront. |
Who should choose XenonStack?
XenonStack is the right choice for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Telecom, Retail & E-commerce.
Who should choose MobiDev?
MobiDev is the right choice for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Manufacturing.
Decision matrix: XenonStack vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | MobiDev |
| You need a large dedicated team for an ongoing programme | XenonStack |
| Your budget is at the lower end | Compare: XenonStack (Not published) vs MobiDev (Not published) |
| You need specialist depth in a specific vertical | XenonStack |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: XenonStack vs MobiDev
| Use case | XenonStack fit | MobiDev fit | Winner |
|---|---|---|---|
| Enterprise needs a real-time data platform feeding downstream ML models. | Strong | Limited | XenonStack |
| Company is building agentic AI workflows and needs specialist platform engineering, not just model development. | Strong | Strong | Both equally |
| Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project. | Limited | Strong | MobiDev |
| Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: XenonStack vs MobiDev
XenonStack (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI.. It is best for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer..
MobiDev (4.3/5) is the better choice when uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. If your situation matches those criteria, MobiDev is a competitive option.
Related comparisons
XenonStack vs MobiDev FAQ
Is XenonStack better than MobiDev?
XenonStack (4.4/5) scores higher overall, but "better" depends on your use case. XenonStack is better for companies building agentic AI or real-time data platforms that want a specialist rather than a general IT outsourcer.. MobiDev is better for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
How do XenonStack and MobiDev differ in pricing?
XenonStack uses project-based, retainer pricing with a minimum engagement of Not published. MobiDev uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: XenonStack or MobiDev?
MobiDev 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 XenonStack and MobiDev?
XenonStack's primary differentiator is: multi-cloud certified (aws, azure, gcp) platform-engineering specialist for real-time and agentic ai.. MobiDev's primary differentiator is: clutch's #1-ranked machine learning development company (2021), with a dedicated ai practice since 2018.. They also differ in team size (50–100 vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Healthcare, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.