Appinventiv
A Noida/New York company with 200+ dedicated ML experts scaling AI from concept to production across mobile, web, and enterprise platforms.
Founded 2015 | Noida, India / New York, NY, USA | 1,000–2,000 employees | Last updated: July 2026
custom-mlcomputer-visionnlpgenerative-aipredictive-analyticsdata-engineering
What is Appinventiv?
Appinventiv is a technology company founded in 2015, headquartered in Noida, India with offices in New York, USA, employing 1,600+ professionals including 200+ dedicated machine learning experts. The firm delivers ML development services from concept to production across mobile, web, and enterprise platforms, covering data workflows, model development, integration, and post-launch iteration. Appinventiv serves clients across healthcare, fintech, logistics, and retail. The company has executed 700+ digital projects and holds a Clutch rating across multiple reviewers.
Appinventiv was founded in 2015 and is headquartered in Noida, India / New York, NY, USA. The firm employs 1,000–2,000 people and works primarily with clients in Healthcare, Fintech, Logistics, Retail, E-commerce sectors. Its primary differentiator is: 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development.
Appinventiv tech stack and services
PythonTensorFlowPyTorchOpenCVLangChainOpenAI APIAWSAzureGCPDocker
| Service area | Details |
|---|---|
| ML-powered features integrated into mobile healthcare patient applications | Available for Healthcare, Fintech, Logistics, Retail, E-commerce clients |
| Predictive analytics dashboards for fintech risk management and compliance | Available for Healthcare, Fintech, Logistics, Retail, E-commerce clients |
| Computer vision for logistics parcel scanning and automated sorting systems | Available for Healthcare, Fintech, Logistics, Retail, E-commerce clients |
| Generative AI content tools for retail and e-commerce marketing teams | Available for Healthcare, Fintech, Logistics, Retail, E-commerce clients |
| NLP chatbots for enterprise customer service automation and support | Available for Healthcare, Fintech, Logistics, Retail, E-commerce clients |
Appinventiv use cases
Short answer: Appinventiv is best suited for enterprise and mid-market companies needing ML features integrated into mobile and web products at scale.
| Use case | Industries | Approach |
|---|---|---|
| ML-powered features integrated into mobile healthcare patient applications | Healthcare, Fintech | Python, TensorFlow |
| Predictive analytics dashboards for fintech risk management and compliance | Healthcare, Fintech | Python, TensorFlow |
| Computer vision for logistics parcel scanning and automated sorting systems | Healthcare, Fintech | Python, TensorFlow |
| Generative AI content tools for retail and e-commerce marketing teams | Healthcare, Fintech | Python, TensorFlow |
| NLP chatbots for enterprise customer service automation and support | Healthcare, Fintech | Python, TensorFlow |
Appinventiv pricing
Short answer: Appinventiv uses a fixed project, dedicated team, t&m pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $25K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | 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 |
|---|---|
| +200+ dedicated ML experts within a large firm — specialisation at scale | -India-primary delivery teams require proactive timezone management for US and EU clients |
| +Strong coverage of computer vision, NLP, and generative AI within a single team | -Large firm structure can mean less senior attention on smaller mid-market engagements |
| +Mobile and web product delivery alongside ML reduces integration overhead | -Marketing-heavy company positioning requires independent validation of delivery quality claims |
| +700+ completed projects provides delivery maturity across multiple industries | |
| +US New York office provides enterprise sales and account management in North American timezone |
Appinventiv vs alternatives
How Appinventiv compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| InData Labs | Mid-market companies needing custom production-grade ML systems with... | Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model | 4.8 | Full comparison |
| Tensorway | Mid-market and enterprise clients needing production-grade computer vision... | Deep learning specialist backed by Anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics | 4.6 | Full comparison |
| Simform | AWS-first companies needing production ML systems with cloud-native... | AWS Premier Partner with 200+ ML engineers and 4.8/5 Clutch rating across 82 verified reviews — one of the most independently validated firms in this niche | 4.5 | Full comparison |
| Blackthorn Vision | Mid-market companies in healthcare, fintech, or industrial automation... | Published case studies across healthcare and fintech ML with a documented data science lifecycle and accessible $20K minimum engagement | 4.4 | Full comparison |
| Codiste | Startups and mid-market companies needing full ML lifecycle... | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
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| Acropolium | Hospitality, healthcare, and logistics companies needing affordable custom... | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies needing senior ML engineers at competitive rates... | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 3.8 | Full comparison |
| Iflexion | Enterprises needing a consulting-first ML partner to design... | 25-year enterprise IT firm with a consulting-led ML practice that evaluates feasibility and designs data strategy before implementation begins | 3.8 | Full comparison |
| N-iX | Enterprises with complex data infrastructure needing MLOps expertise... | Named Fortune 500 MLOps deployments at Bosch, Gogo, and Fluke with 2,000+ engineers and a data-infrastructure-first ML approach | 3.9 | Full comparison |
| Intellias | Product companies and enterprises needing ML integrated into... | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
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| Devox Software | EU, UK, and US clients needing cost-efficient Python... | High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases | 3.7 | Full comparison |
| Intuz | US-based companies needing a San Francisco-headquartered AI partner... | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprise companies with hardware, IoT, or embedded systems... | Houston-based enterprise firm with unique strength in ML for IoT and hardware-connected AI applications alongside Microsoft and AWS partnerships | 3.7 | Full comparison |
| Itransition | Enterprise organisations needing ML consulting and implementation integrated... | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Enterprise and Fortune 500 companies needing a long-established... | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients | 3.6 | Full comparison |
| Avenga | Global corporations needing a large-scale European technology partner... | 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations | 3.6 | Full comparison |
| DataArt | Mid-market and enterprise companies in finance, healthcare, or... | 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects | 3.6 | Full comparison |
| Ciklum | Global enterprises seeking AI features embedded in large-scale... | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
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| Codiant | Startups and mid-market companies on five continents needing... | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
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| EPAM Systems | Large enterprises needing ML within large-scale platform engineering... | Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises | 3.5 | Full comparison |
| Accenture | Global enterprise and government organisations needing AI strategy,... | World's largest consulting firm with 700,000+ employees, government-scale AI governance capability, and a dedicated AI transformation practice | 3.5 | Full comparison |
| Cognizant | Global enterprises modernising legacy data systems and needing... | 330,000-person IT services firm combining ML engineering with legacy data modernisation for global enterprise digital transformation programmes | 3.5 | Full comparison |
Appinventiv FAQ
What is Appinventiv?
Appinventiv is a technology company founded in 2015, headquartered in Noida, India with offices in New York, USA, employing 1,600+ professionals including 200+ dedicated machine learning experts. The firm delivers ML development services from concept to production across mobile, web, and enterprise platforms, covering data workflows, model development, integration, and post-launch iteration. Appinventiv serves clients across healthcare, fintech, logistics, and retail. The company has executed 700+ digital projects and holds a Clutch rating across multiple reviewers.
How much does Appinventiv charge?
Appinventiv uses fixed project, dedicated team, t&m pricing. Minimum engagement starts at $25K. A discovery call is required to get project-specific quotes.
What tech stack does Appinventiv use?
Appinventiv works with Python, TensorFlow, PyTorch, OpenCV, LangChain, OpenAI API, AWS, Azure, GCP, Docker. Primary industries served include Healthcare, Fintech, Logistics, Retail, E-commerce.
Is Appinventiv right for enterprise?
Enterprise and mid-market companies needing ML features integrated into mobile and web products at scale. 1,000–2,000 team size. Key consideration: India-primary delivery teams require proactive timezone management for US and EU clients.
What are the best Appinventiv alternatives?
The best alternatives to Appinventiv depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- Tensorway: deep learning specialist backed by anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche
Compare Appinventiv with other Machine Learning Development companies
Appinventiv vs InData Labs Appinventiv vs Tensorway Appinventiv vs Simform Appinventiv vs Blackthorn Vision Appinventiv vs Codiste Appinventiv vs DataRoot Labs Appinventiv vs *instinctools Appinventiv vs Neoteric Appinventiv vs MobiDev Appinventiv vs Leobit Appinventiv vs STX Next Appinventiv vs LeewayHertz Appinventiv vs ScienceSoft Appinventiv vs Fractal Analytics Appinventiv vs Acropolium Appinventiv vs Scopic Appinventiv vs Iflexion Appinventiv vs N-iX Appinventiv vs Intellias Appinventiv vs Oxagile Appinventiv vs Innowise Appinventiv vs Devox Software Appinventiv vs Intuz Appinventiv vs Softeq Appinventiv vs Itransition Appinventiv vs ELEKS Appinventiv vs Avenga Appinventiv vs DataArt Appinventiv vs Ciklum Appinventiv vs Sigmoidal Appinventiv vs Codiant Appinventiv vs GlobalLogic Appinventiv vs BairesDev Appinventiv vs DataRobot Appinventiv vs EPAM Systems Appinventiv vs Accenture Appinventiv vs Cognizant
Last reviewed: July 2026. Verify all details directly with Appinventiv before making a decision.