Best Machine Learning Development Services Companies

Ciklum

A London-headquartered Experience Engineering firm with 4,000+ employees and generative AI services across 250+ global enterprise clients.

Founded 2002 | London, UK | 4,000+ employees
generative-aicustom-mlmlopsdata-engineeringnlp

What is Ciklum?

Ciklum is a global Experience Engineering firm headquartered in London, UK, founded in 2002, with 4,000+ employees serving 250+ global enterprise clients. The company acquired GoSolve Group in 2025, adding cloud-native development and high-performance computing capability. Ciklum's AI services include generative AI development, ML integration into digital products, and AI-powered SDLC acceleration. The firm delivers next-generation product engineering and AI-powered customer experiences for large enterprises and digital disruptors.

Ciklum was founded in 2002 and is headquartered in London, UK. The firm employs 4,000+ people and works primarily with clients in Fintech, Healthcare, E-commerce, SaaS, Logistics sectors. Its primary differentiator is: 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes.

Ciklum tech stack and services

PythonLangChainOpenAI APIAWSGCPGoKubernetesMLflowDatabricksAzure
Service area
Generative AI
Custom ML Development
MLOps & Deployment
Data Engineering
NLP & Text Analytics

Ciklum use cases

Short answer: Ciklum is best suited for global enterprises, AI in large-scale digital products.

Use case
Generative AI features integrated into large enterprise digital products
ML-powered personalisation for consumer-facing applications at scale
AI-driven SDLC acceleration for large software engineering organisations
Data engineering infrastructure to enable AI readiness for enterprise
NLP automation for enterprise back-office processes and document workflows

Ciklum pricing

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

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

Ciklum pros and cons

Advantages Things to consider
+4,000+ employees serving 250+ enterprises demonstrates delivery scale and breadth -$100K minimum engagement limits access for smaller and mid-market companies
+Generative AI services alongside traditional ML within product engineering -AI is part of a broader service offering — not an ML-first or AI-specialist firm
+GoSolve acquisition (2025) adds cloud-native and high-performance computing depth -Less publicly documented in pure ML model research than boutique ML competitors
+London HQ provides EU and UK enterprise relationship management
+Experience Engineering focus connects ML outcomes to user-facing product features

Ciklum vs alternatives

How Ciklum 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
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
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

Ciklum FAQ

What is Ciklum?

Ciklum is a global Experience Engineering firm headquartered in London, UK, founded in 2002, with 4,000+ employees serving 250+ global enterprise clients. The company acquired GoSolve Group in 2025, adding cloud-native development and high-performance computing capability. Ciklum's AI services include generative AI development, ML integration into digital products, and AI-powered SDLC acceleration. The firm delivers next-generation product engineering and AI-powered customer experiences for large enterprises and digital disruptors.

How much does Ciklum charge?

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

What tech stack does Ciklum use?

Ciklum works with Python, LangChain, OpenAI API, AWS, GCP, Go, Kubernetes, MLflow, Databricks, Azure. Primary industries served include Fintech, Healthcare, E-commerce, SaaS, Logistics.

Is Ciklum right for enterprise?

Global enterprises, AI in large-scale digital products. 4,000+ team size. Key consideration: $100K minimum engagement limits access for smaller and mid-market companies.

What are the best Ciklum alternatives?

The best alternatives to Ciklum 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 Ciklum with other Machine Learning Development companies