Best Machine Learning Development Services Companies

Avenga

A Cologne-headquartered global technology consultancy formed in 2019 with 6,000+ employees across 16 countries and AWS Advanced Partner status.

Founded 2019 | Cologne, Germany | 6,000+ employees
custom-mldata-engineeringmlopsml-consultingpredictive-analytics

What is Avenga?

Avenga is a global technology consultancy headquartered in Cologne, Germany, formed in 2019 through the merger of Corevalue, Sevenval, and other companies. The firm employs 6,000+ professionals across 16 countries and 44 delivery locations, serving global corporations with digital transformation, data engineering, and cloud ML services. Avenga holds AWS Advanced Tier Partner status with 20+ certifications and has launched 20+ customer projects on the AWS platform, specialising in cloud architecture, data analytics, and machine learning for financial services and enterprise clients.

Avenga was founded in 2019 and is headquartered in Cologne, Germany. The firm employs 6,000+ people and works primarily with clients in Fintech, Healthcare, Manufacturing, Logistics, SaaS sectors. Its primary differentiator is: 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations.

Avenga tech stack and services

PythonAWS SageMakerAWS BedrockTerraformKubernetesDatabricksSparkMLflowAzure MLSnowflake
Service area
Custom ML Development
Data Engineering
MLOps & Deployment
ML Consulting
Predictive Analytics

Avenga use cases

Short answer: Avenga is best suited for global corporations, large-scale European cloud ML.

Use case
Cloud ML infrastructure build-out for financial services enterprises
Enterprise data platform modernisation to enable ML capability
MLOps implementation for large data science teams at scale
Predictive analytics for manufacturing operations and capacity planning
AI strategy consulting within large digital transformation programmes

Avenga pricing

Short answer: Avenga uses a t&m, dedicated team pricing approach. Minimum engagement starts at $100K.

Engagement model Typical range Best for
Time & materials Variable; depends on team size Large programmes or team augmentation
Dedicated team Variable; depends on team size Large programmes or team augmentation
Consulting retainer Monthly rate; not public Ongoing AI engineering
Avenga does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Avenga pros and cons

Advantages Things to consider
+6,000+ employees across 16 countries for global enterprise programme delivery -Formed by mergers in 2017–2019 — cultural and capability integration may vary by location
+AWS Advanced Partner with 20+ certifications and documented cloud ML launches -$100K minimum engagement limits access to large enterprise budgets
+44 delivery locations provide nearshore options across multiple world regions -ML is one capability within a very broad consultancy offering — not AI-first
+Strong financial services ML experience from European enterprise client base
+Full enterprise transformation capability including ML alongside broader digital work

Avenga vs alternatives

How Avenga 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
Appinventiv Enterprises, ML features in mobile/web products at scale. 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, 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
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

Avenga FAQ

What is Avenga?

Avenga is a global technology consultancy headquartered in Cologne, Germany, formed in 2019 through the merger of Corevalue, Sevenval, and other companies. The firm employs 6,000+ professionals across 16 countries and 44 delivery locations, serving global corporations with digital transformation, data engineering, and cloud ML services. Avenga holds AWS Advanced Tier Partner status with 20+ certifications and has launched 20+ customer projects on the AWS platform, specialising in cloud architecture, data analytics, and machine learning for financial services and enterprise clients.

How much does Avenga charge?

Avenga uses t&m, dedicated team pricing. Minimum engagement starts at $100K. A discovery call is required to get project-specific quotes.

What tech stack does Avenga use?

Avenga works with Python, AWS SageMaker, AWS Bedrock, Terraform, Kubernetes, Databricks, Spark, MLflow, Azure ML, Snowflake. Primary industries served include Fintech, Healthcare, Manufacturing, Logistics, SaaS.

Is Avenga right for enterprise?

Global corporations, large-scale European cloud ML. 6,000+ team size. Key consideration: Formed by mergers in 2017–2019 — cultural and capability integration may vary by location.

What are the best Avenga alternatives?

The best alternatives to Avenga 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
See full alternatives list

Compare Avenga with other Machine Learning Development companies