Best Machine Learning Development Services Companies

Codiant

A Yash Technologies company with ISO certifications and 240+ professionals delivering AI/ML across web and mobile platforms on five continents.

Founded 2011 | Illinois, USA / India | 200–300 employees | Last updated: July 2026
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What is Codiant?

Codiant is a software development company headquartered in Illinois, USA with a development centre in India and offices in the UK, Australia, and UAE, employing 240+ full-time professionals. The company is a subsidiary of Yash Technologies and delivers custom AI and ML solutions alongside web and mobile development for startups and enterprises across five continents. Codiant holds ISO 9001 and ISO/IEC 27001:2013 certifications and has completed 700+ projects for 200+ active clients. The ML practice covers data engineering, model development, and integration into web and mobile platforms.

Codiant was founded in 2011 and is headquartered in Illinois, USA / India. The firm employs 200–300 people and works primarily with clients in Healthcare, Fintech, E-commerce, SaaS, Logistics sectors. Its primary differentiator is: Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients.

Codiant tech stack and services

PythonTensorFlowPyTorchScikit-learnOpenAI APIAWSAzureReactNode.jsDocker
Service area Details
ML features integrated into mobile and web application product builds Available for Healthcare, Fintech, E-commerce, SaaS, Logistics clients
Predictive analytics for e-commerce product recommendation and personalisation Available for Healthcare, Fintech, E-commerce, SaaS, Logistics clients
NLP chatbots for healthcare patient engagement mobile applications Available for Healthcare, Fintech, E-commerce, SaaS, Logistics clients
AI-powered data extraction for logistics document processing automation Available for Healthcare, Fintech, E-commerce, SaaS, Logistics clients
Generative AI content features for SaaS content management platforms Available for Healthcare, Fintech, E-commerce, SaaS, Logistics clients

Codiant use cases

Short answer: Codiant is best suited for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.

Use case Industries Approach
ML features integrated into mobile and web application product builds Healthcare, Fintech Python, TensorFlow
Predictive analytics for e-commerce product recommendation and personalisation Healthcare, Fintech Python, TensorFlow
NLP chatbots for healthcare patient engagement mobile applications Healthcare, Fintech Python, TensorFlow
AI-powered data extraction for logistics document processing automation Healthcare, Fintech Python, TensorFlow
Generative AI content features for SaaS content management platforms Healthcare, Fintech Python, TensorFlow

Codiant pricing

Short answer: Codiant 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
Time & materials Variable; depends on team size Large programmes or team augmentation
Codiant does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Codiant pros and cons

Advantages Things to consider
+ISO 9001 and 27001 certifications for quality and security process assurance -AI/ML is one of multiple service lines at a broadly-positioned development company
+Yash Technologies parent provides financial stability and enterprise credibility -Yash Technologies acquisition means company culture may differ from independent AI-first firms
+240+ professionals with multi-continent delivery capability across 5 geographies -Smaller team limits capacity for very large or complex enterprise ML programmes
+$15K minimum engagement is accessible for startup and small company budgets
+700+ completed projects provides delivery track record across multiple industries

Codiant vs alternatives

How Codiant 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
DataRoot Labs European and Israeli companies needing a structured ML... 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 needing a long-track-record technology... 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 needing a mid-size AI engineering team... 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 needing ML development integrated with mobile or... 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-based tech startups and scale-ups needing combined ML... 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 needing ML capability embedded within software... 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 enterprise and mid-market companies needing a full-service... 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, and oil & gas companies needing... 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 companies in consumer packaged goods, retail,... 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, 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
Oxagile Media, sports, and AdTech companies needing AI and... 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 Banks, healthcare operators, and agricultural businesses needing ML... 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices 3.8 Full comparison
Appinventiv Enterprise and mid-market companies needing ML features integrated... 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development 3.7 Full comparison
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
Sigmoidal Financial services and healthcare companies with internal ML... Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus 3.6 Full comparison
GlobalLogic Fortune 500 enterprises needing large-scale MLOps implementation within... 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-based companies needing culturally aligned nearshore 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 to reduce ML engineering bottlenecks with... 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 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

Codiant FAQ

What is Codiant?

Codiant is a software development company headquartered in Illinois, USA with a development centre in India and offices in the UK, Australia, and UAE, employing 240+ full-time professionals. The company is a subsidiary of Yash Technologies and delivers custom AI and ML solutions alongside web and mobile development for startups and enterprises across five continents. Codiant holds ISO 9001 and ISO/IEC 27001:2013 certifications and has completed 700+ projects for 200+ active clients. The ML practice covers data engineering, model development, and integration into web and mobile platforms.

How much does Codiant charge?

Codiant 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 Codiant use?

Codiant works with Python, TensorFlow, PyTorch, Scikit-learn, OpenAI API, AWS, Azure, React, Node.js, Docker. Primary industries served include Healthcare, Fintech, E-commerce, SaaS, Logistics.

Is Codiant right for enterprise?

Startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. 200–300 team size. Key consideration: AI/ML is one of multiple service lines at a broadly-positioned development company.

What are the best Codiant alternatives?

The best alternatives to Codiant 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
See full alternatives list

Compare Codiant with other Machine Learning Development companies

Last reviewed: July 2026. Verify all details directly with Codiant before making a decision.