Appinventiv
Global 1,600+ engineer firm delivering mobile-first ML solutions across five continents.
Founded 2015 | Noida, India | 1,600+ employees | Last updated: July 2026
custom-mlgenerative-ainlpcomputer-visionml-consultingpredictive-analytics
What is Appinventiv?
Appinventiv is a global digital innovation and mobile app development company founded in 2015 and headquartered in Noida, India. The company has grown to 1,600+ technology experts with offices in the US, UAE, Australia, and the UK, and has delivered 1,000+ digital assets for 3,000+ businesses worldwide. Appinventiv's ML practice focuses on mobile-first AI integration — embedding machine learning into iOS, Android, and cross-platform mobile products alongside web and enterprise applications.
Appinventiv was founded in 2015 and is headquartered in Noida, India. The firm employs 1,600+ people and works primarily with clients in healthcare, retail, fintech, logistics, SaaS sectors. Its primary differentiator is: 1,600+ specialists with a mobile-first AI approach and global footprint delivering 1,000+ digital assets with embedded ML — strong for consumer-facing AI product work.
Appinventiv tech stack and services
TensorFlowPyTorchOpenAIAWSAzureGCPPythonReact NativeFlutterSwiftKotlin
| Service area | Details |
|---|---|
| Mobile AI feature development for iOS/Android apps requiring on-device ML inference | Available for healthcare, retail, fintech, logistics, SaaS clients |
| Computer vision integration for mobile retail, fitness, or healthcare applications | Available for healthcare, retail, fintech, logistics, SaaS clients |
| NLP chatbot and virtual assistant integration into mobile consumer products | Available for healthcare, retail, fintech, logistics, SaaS clients |
| Generative AI feature development for consumer-facing SaaS or fintech mobile products | Available for healthcare, retail, fintech, logistics, SaaS clients |
| Custom ML development for logistics or supply chain mobile applications | Available for healthcare, retail, fintech, logistics, SaaS clients |
Appinventiv use cases
Short answer: Appinventiv is best suited for global businesses needing mobile-first ML delivery at scale from a 1,600+ team with offices on five continents and strong consumer-facing AI experience.
| Use case | Industries | Approach |
|---|---|---|
| Mobile AI feature development for iOS/Android apps requiring on-device ML inference | healthcare, retail | TensorFlow, PyTorch |
| Computer vision integration for mobile retail, fitness, or healthcare applications | healthcare, retail | TensorFlow, PyTorch |
| NLP chatbot and virtual assistant integration into mobile consumer products | healthcare, retail | TensorFlow, PyTorch |
| Generative AI feature development for consumer-facing SaaS or fintech mobile products | healthcare, retail | TensorFlow, PyTorch |
| Custom ML development for logistics or supply chain mobile applications | healthcare, retail | TensorFlow, PyTorch |
Appinventiv pricing
Short answer: Appinventiv uses a fixed project, dedicated team, t&m pricing approach. Minimum engagement starts at $15K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $15K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
Appinventiv does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Appinventiv pros and cons
| Advantages | Things to consider |
|---|---|
| +1,000+ digital asset delivery track record across consumer-facing ML products | -India-based primary delivery introduces time zone complexity for US East Coast teams |
| +Mobile-first ML capability enables on-device AI integration in iOS and Android applications | -Mobile-first orientation means less enterprise MLOps and data engineering depth |
| +Accessible minimum engagement ($15K) relative to global team size | -Generalist digital product firm — ML is one of many specializations, not the sole focus |
| +Offices on five continents supporting enterprise clients across North America, EMEA, and APAC | |
| +Computer vision and NLP integration into mobile products is a genuinely differentiated capability |
Appinventiv vs alternatives
How Appinventiv compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams needing a dedicated ML specialist boutique with... | ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size | 4.8 | Full comparison |
| LeewayHertz | Enterprises seeking end-to-end AI/ML product delivery with a... | Product-centric AI delivery culture with verified Fortune 500 client references including ESPN, Siemens, and 3M — now operating within The Hackett Group | 4.6 | Full comparison |
| InData Labs | Mid-market organizations with specific, complex ML problems requiring... | Pure-play ML boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by Clutch as a top AI service provider | 4.5 | Full comparison |
| HatchWorks AI | Companies seeking AI-native teams that embed generative AI... | Clutch #1 AI Services Company with a proprietary Generative Driven Development methodology claimed to reduce delivery time by 30–50% (per company website; independently unverifiable) | 4.4 | Full comparison |
| STX Next | Organizations that need ML models operationalized inside complete... | Europe's largest Python-specialist firm uniquely positioned to embed ML into production software without the integration friction that plagues pure-play ML boutiques | 4.3 | Full comparison |
| Tredence | Enterprise teams that need last-mile ML adoption —... | Industry-specific AI accelerators and a proven focus on last-mile ML adoption, closing the execution gap between data science output and real business value | 4.3 | Full comparison |
| Addepto | Mid-market companies in finance, energy, or retail needing... | End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability | 4.2 | Full comparison |
| DataForest | Data-first companies needing robust data engineering infrastructure as... | Data engineering-first approach builds pipeline and data quality foundations before model development, addressing the root cause of most ML project failures | 4.2 | Full comparison |
| Forte Group | Organizations needing the engineering discipline of a larger... | Structured AI service lines with Tier 1 delivery rigor and specialist consultancy agility — serving organizations that need both without enterprise-tier pricing | 4.1 | Full comparison |
| Binariks | Healthcare, fintech, and insurance organizations needing ML built... | Compliance-first ML engineering for regulated industries — governance and audit trails are built in from the architecture stage, not retrofitted after launch | 4.1 | Full comparison |
| Softeq | Hardware manufacturers and industrial companies needing ML integrated... | Unique capability to combine hardware design expertise with ML engineering, deploying models at the edge where cloud-only ML firms cannot operate | 4.1 | Full comparison |
| Markovate | Retail, travel, and fitness platforms needing ML-powered recommendation... | 300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ML specialization than most comparably sized firms | 4.0 | Full comparison |
| ScienceSoft | Established enterprises needing ML consulting from a vendor... | 35+ years of enterprise delivery experience with a mature ML practice — providing compliance readiness, institutional knowledge, and process maturity rare in younger ML-focused competitors | 4.0 | Full comparison |
| Miquido | Product teams needing ML embedded inside polished digital... | Google-certified AI/ML capability paired with strong product design — clients receive ML that works inside well-crafted user experiences, not bolted-on algorithms | 4.0 | Full comparison |
| Simform | Industrial and enterprise companies needing cloud-native ML on... | AWS Premier Partner with 1,000+ engineers and documented depth in industrial IoT ML — connecting physical sensor streams to cloud ML inference at production scale | 3.9 | Full comparison |
| Intuz | Small and mid-size businesses needing custom AI/ML solutions... | 1,700+ project track record with a discovery-first engagement model making enterprise-grade ML accessible to SMBs through risk-reduced fixed-price POC phases | 3.9 | Full comparison |
| Scopic | Organizations needing fully custom ML engineering with 20+... | 20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare | 3.9 | Full comparison |
| N-iX | Enterprises needing large-scale ML engineering capacity in Eastern... | 2,400+ engineers with deep specialization in scalable AI architectures, able to field large dedicated teams for complex multi-year ML programmes at competitive Eastern European rates | 3.9 | Full comparison |
| Oxagile | Media, AdTech, and sports companies needing ML with... | 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics | 3.8 | Full comparison |
| Innowise | Regulated industry organizations — banking, agriculture, healthcare —... | Cross-vertical ML delivery with documented case studies in banking automation, agricultural forecasting, and healthcare diagnostics — unusual breadth across regulated industries | 3.9 | Full comparison |
| Intellectsoft | Enterprises in fintech, healthcare, and construction needing ML... | Palo Alto HQ with 10 global delivery offices combining US-based account management with competitive Eastern European delivery rates for enterprise ML programmes | 3.8 | Full comparison |
| DataRoot Labs | Startups and scale-ups needing AI strategy alongside execution,... | One of Ukraine's most recognized ML consultancies — combining strategy-level AI advisory with hands-on engineering, a combination rare at this team size and price point | 3.8 | Full comparison |
| Itransition | Enterprises needing ML integrated into complex legacy software... | 25+ years of enterprise software delivery with five dedicated R&D labs, giving clients a mature delivery operation with advanced ML research support at competitive rates | 3.9 | Full comparison |
| 10Pearls | US-based enterprises and government contractors needing AI-native delivery... | AI-native engineering culture with four CRN Solution Provider 500 recognitions and 1,400+ experts spanning North America and LATAM for enterprise AI programmes | 3.8 | Full comparison |
| Coherent Solutions | Midwest enterprises and Microsoft-stack organizations needing ML capabilities... | Ranked #1 IT consulting firm in the Twin Cities five times in six years with 2,000+ engineers across 10 development centers, offering enterprise ML at competitive rates | 3.8 | Full comparison |
| Iflexion | US-based organizations needing ML integrated into complete custom... | 25 years of enterprise software delivery with 850+ professionals embedding ML into complete systems rather than delivering standalone models that require separate integration work | 3.7 | Full comparison |
| Avenga | Large enterprises in telco, banking, or automotive needing... | 6,000+ specialists across 44 delivery centers formed through PE-backed acquisitions, providing enterprise-scale AI delivery capacity — though cultural integration across legacy entities is ongoing | 3.7 | Full comparison |
| BairesDev | Companies needing rapid ML team scale-up using LATAM... | 4,000+ ML-capable LATAM engineers in US time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ML capacity fast | 3.7 | Full comparison |
| Turing | Teams that need to extend their ML engineering... | AI-powered vetting platform screening 3M+ global ML developers to place the top 1% directly in client engineering teams at rates competitive with US in-house hiring | 3.7 | Full comparison |
| EPAM Systems | Large enterprises requiring ML at Fortune 500 scale... | 62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes | 3.9 | Full comparison |
Appinventiv FAQ
What is Appinventiv?
Appinventiv is a global digital innovation and mobile app development company founded in 2015 and headquartered in Noida, India. The company has grown to 1,600+ technology experts with offices in the US, UAE, Australia, and the UK, and has delivered 1,000+ digital assets for 3,000+ businesses worldwide. Appinventiv's ML practice focuses on mobile-first AI integration — embedding machine learning into iOS, Android, and cross-platform mobile products alongside web and enterprise applications.
How much does Appinventiv charge?
Appinventiv uses fixed project, dedicated team, t&m pricing. Minimum engagement starts at $15K. A discovery call is required to get project-specific quotes.
What tech stack does Appinventiv use?
Appinventiv works with TensorFlow, PyTorch, OpenAI, AWS, Azure, GCP, Python, React Native, Flutter, Swift, Kotlin. Primary industries served include healthcare, retail, fintech, logistics, SaaS.
Is Appinventiv right for enterprise?
Global businesses needing mobile-first ML delivery at scale from a 1,600+ team with offices on five continents and strong consumer-facing AI experience. 1,600+ team size. Key consideration: India-based primary delivery introduces time zone complexity for US East Coast teams.
What are the best Appinventiv alternatives?
The best alternatives to Appinventiv depend on your use case. Top options are:
- Tensorway: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size
- LeewayHertz: product-centric ai delivery culture with verified fortune 500 client references including espn, siemens, and 3m — now operating within the hackett group
- InData Labs: pure-play ml boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by clutch as a top ai service provider
Compare Appinventiv with other Machine Learning Development companies
Appinventiv vs Tensorway Appinventiv vs LeewayHertz Appinventiv vs InData Labs Appinventiv vs HatchWorks AI Appinventiv vs STX Next Appinventiv vs Tredence Appinventiv vs Addepto Appinventiv vs DataForest Appinventiv vs Forte Group Appinventiv vs Binariks Appinventiv vs Softeq Appinventiv vs Markovate Appinventiv vs ScienceSoft Appinventiv vs Miquido Appinventiv vs Simform Appinventiv vs Intuz Appinventiv vs Scopic Appinventiv vs N-iX Appinventiv vs Oxagile Appinventiv vs Innowise Appinventiv vs Intellectsoft Appinventiv vs DataRoot Labs Appinventiv vs Itransition Appinventiv vs 10Pearls Appinventiv vs Coherent Solutions Appinventiv vs Iflexion Appinventiv vs Avenga Appinventiv vs BairesDev Appinventiv vs Turing Appinventiv vs EPAM Systems
Last reviewed: July 2026. Verify all details directly with Appinventiv before making a decision.