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
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 |
|---|
| Custom ML Development |
| Computer Vision |
| NLP & Text Analytics |
| Generative AI |
| Predictive Analytics |
| Data Engineering |
Appinventiv use cases
Short answer: Appinventiv is best suited for Enterprises, ML features in mobile/web products at scale.
| Use case |
|---|
| ML-powered features integrated into mobile healthcare patient applications |
| Predictive analytics dashboards for fintech risk management and compliance |
| Computer vision for logistics parcel scanning and automated sorting systems |
| Generative AI content tools for retail and e-commerce marketing teams |
| NLP chatbots for enterprise customer service automation and support |
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, verified-track-record production ML. | 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, specialist computer vision and... | Deep learning specialist backed by its parent company'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, cloud-native production ML. | 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 | Healthcare and fintech mid-market, boutique data science, senior... | 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, full ML lifecycle through to production. | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
| DataRoot Labs | EU and Israeli companies, structured ML R&D methodology. | Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients | 4.2 | Full comparison |
| *instinctools | German and US companies, long-track-record ML partner. | 25-year delivery heritage with self-managed dedicated ML teams and co-headquarters in Stuttgart, Germany and Potomac, Maryland | 4.2 | Full comparison |
| Neoteric | European companies, mid-size AI team, full app development. | Wrocław-based AI firm with documented approximately 90% positive Clutch reviews and full-service software plus ML delivery at $50–99/hr | 4.1 | Full comparison |
| MobiDev | Companies wanting ML plus mobile/web engineering, US/UK-managed. | US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development | 4.1 | Full comparison |
| Leobit | US startups and scale-ups, ML plus product engineering,... | Full-stack AI engineering firm with strong generative AI and corporate LLM deployment capability alongside standard ML development | 4.0 | Full comparison |
| STX Next | Python-first companies, ML embedded in software products. | Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development | 4.0 | Full comparison |
| LeewayHertz | US enterprises, LLM integration, generative-AI advisory. | San Francisco-based AI firm with strong LLM integration and generative AI advisory capability alongside standard ML development | 3.9 | Full comparison |
| ScienceSoft | Manufacturing, healthcare, oil & gas, Microsoft and AWS-certified. | 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML | 3.9 | Full comparison |
| Fractal Analytics | Fortune 500 CPG, retail, insurance, enterprise-scale AI. | 25-year enterprise AI firm with documented Fortune 500 programmes in CPG, retail, and insurance analytics across 4,000+ professionals | 3.9 | Full comparison |
| Acropolium | Hospitality, healthcare, logistics, affordable EU-registered ML. | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies wanting senior ML engineers, distributed, 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, consulting-first ML strategy and feasibility. | 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, Fortune 500-proven 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, ML integrated into digital platforms. | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
| Oxagile | Media, sports, AdTech, video and content-analytics ML. | 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients | 3.8 | Full comparison |
| Innowise | Banking, healthcare, agriculture, competitive Eastern European rates. | 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices | 3.8 | Full comparison |
| Devox Software | EU, UK, US clients, cost-efficient Python ML for... | 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 companies, SF-based AI and agent development. | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprises, ML for hardware and IoT platforms. | 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 | Enterprises, ML consulting within large transformation programmes. | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Fortune 500 enterprises, established European ML partner. | 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, large-scale European cloud ML. | 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 | Finance, healthcare, media enterprises, ML in product delivery. | 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, AI in large-scale digital products. | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
| Sigmoidal | Financial and healthcare firms, ML staff augmentation. | Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus | 3.6 | Full comparison |
| Codiant | Startups and mid-market, accessible web/mobile ML builds. | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
| GlobalLogic | Fortune 500 enterprises, large-scale MLOps implementation. | Hitachi-owned 30,000-person product engineering firm with MLOps and AI-Powered SDLC for Fortune 500 clients and industrial AI access via Hitachi ecosystem | 3.5 | Full comparison |
| BairesDev | US companies, nearshore Latin America ML engineers. | Latin America nearshore ML specialist with 4,000+ engineers and US timezone alignment for flexible staff augmentation and project delivery | 3.5 | Full comparison |
| DataRobot | Enterprises wanting an automated AutoML platform. | Enterprise AutoML platform that automates model building and deployment — a software product with professional services, not a custom development services firm | 3.5 | Full comparison |
| EPAM Systems | Large enterprises, proprietary AI orchestration platform. | 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 enterprises and governments, AI strategy at massive... | 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, ML plus legacy-system modernisation. | 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?
Enterprises, ML features in mobile/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 its parent company'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