MobiDev
Atlanta-headquartered software development company that built a dedicated AI/ML practice starting in 2018.
Founded 2009 | Atlanta, Georgia, USA | 201–500 employees
ml-developmentcomputer-visiondata-engineering
What is MobiDev?
MobiDev is a custom software development company founded in 2009, headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine, and roughly 290–400 engineers. CEO Oleg Lola initiated a dedicated AI/ML practice in 2018, and the company has since delivered more than 65 AI/ML products, concentrated in retail, hospitality, fitness, sports, and health/wellness.
MobiDev was founded in 2009 and is headquartered in Atlanta, Georgia, USA. The firm employs 201–500 people and works primarily with clients in Retail, Hospitality, Health & Fitness, Sports sectors. Its primary differentiator is: 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals.
MobiDev tech stack and services
PythonTensorFlowOpenCVAWS
| Service area |
|---|
| Custom ML Development |
| Computer Vision |
| Data Engineering |
MobiDev use cases
Short answer: MobiDev is best suited for Retail, hospitality, fitness companies — proven mid-size AI delivery.
| Use case |
|---|
| Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product |
| Health and fitness apps needing an ML-driven personalization or tracking feature |
| Mid-size companies wanting a track record of similarly-scoped delivered AI/ML products before committing |
MobiDev pricing
Short answer: MobiDev uses a fixed project and dedicated team pricing approach. Minimum engagement starts at $20K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $20K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
MobiDev does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
MobiDev pros and cons
| Advantages | Things to consider |
|---|---|
| +65+ delivered AI/ML products gives a concrete, countable delivery track record rather than general marketing claims | -Narrower industry focus than horizontal AI consultancies serving finance, healthcare, and manufacturing broadly |
| +Deliberate AI/ML practice build-out since 2018, rather than a very recent pivot | -Smaller scale than the large enterprise IT firms on this list, limiting very large multi-team programs |
| +Named vertical concentration (retail, hospitality, fitness, health) supports domain-specific product experience | -AI/ML sits alongside a broader general custom-software-development practice |
| +Mid-size team (290–400) balances specialist focus with real delivery capacity |
MobiDev vs alternatives
How MobiDev compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Regulated finance firms, PoC-to-production ML delivery. | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies, full-stack ML plus agentic AI. | full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers, AI bundled with cloud... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, SaaS — specialist data-science boutique. | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | EU SMBs, research-grade ML at accessible pricing. | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | GPU-heavy deep learning, NVIDIA-partnered lab. | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies, AI/ML plus IoT/edge deployment. | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare and BFSI enterprises, AI within product engineering. | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Financial-services enterprises, cloud-native AI at scale. | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises, publicly-listed AI/analytics partner. | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, industrials — vertical-focused data science at... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises, data-engineering-first ML delivery. | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting BI delivery with ML layered in. | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Existing Indium QA clients adding AI/ML. | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level transparency, AI at scale. | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises, AI from their existing IT... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | Largest global enterprises, AI within a massive engineering... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting an established AI/ML, cloud, and IoT... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Fortune 500 clients, European-HQ dedicated ML/AI line. | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Finance, media, healthcare enterprises — established global AI... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises, AI/ML plus custom software, one vendor. | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML within full-cycle software development. | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML from a top-ranked outsourcing firm. | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises, end-to-end model design through MLOps. | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| Master of Code Global | Companies building conversational AI and chatbot products. | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML from an established IT generalist. | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI app development, brand-name client history. | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies, affordable AI/ML add-on. | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | SMBs wanting an accessible generative-AI specialist. | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI, now KMS-backed. | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML plus IoT, Avnet-backed. | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
MobiDev FAQ
What is MobiDev?
MobiDev is a custom software development company founded in 2009, headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine, and roughly 290–400 engineers. CEO Oleg Lola initiated a dedicated AI/ML practice in 2018, and the company has since delivered more than 65 AI/ML products, concentrated in retail, hospitality, fitness, sports, and health/wellness.
How much does MobiDev charge?
MobiDev uses fixed project and dedicated team pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.
What tech stack does MobiDev use?
MobiDev works with Python, TensorFlow, OpenCV, AWS. Primary industries served include Retail, Hospitality, Health & Fitness, Sports.
Is MobiDev right for enterprise?
Retail, hospitality, fitness companies — proven mid-size AI delivery. 201–500 team size. Key consideration: Narrower industry focus than horizontal AI consultancies serving finance, healthcare, and manufacturing broadly.
What are the best MobiDev alternatives?
The best alternatives to MobiDev depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare MobiDev with other Machine Learning Development agencies
MobiDev vs Neurons Lab MobiDev vs Tensorway MobiDev vs Provectus MobiDev vs InData Labs MobiDev vs AI Superior MobiDev vs Data Monsters MobiDev vs ITRex Group MobiDev vs Ideas2IT MobiDev vs Quantiphi MobiDev vs Fractal Analytics MobiDev vs Tredence MobiDev vs Sigmoid MobiDev vs LatentView Analytics MobiDev vs Indium Software MobiDev vs Grid Dynamics MobiDev vs Persistent Systems MobiDev vs EPAM Systems MobiDev vs SoftServe MobiDev vs N-iX MobiDev vs DataArt MobiDev vs Andersen MobiDev vs Innowise Group MobiDev vs Sigma Software Group MobiDev vs Exadel MobiDev vs Master of Code Global MobiDev vs ScienceSoft MobiDev vs Intellectsoft MobiDev vs Belitsoft MobiDev vs Neoteric MobiDev vs Addepto MobiDev vs Softweb Solutions