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 | Last updated: July 2026
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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 | Details |
|---|---|
| Generative AI features integrated into large enterprise digital products | Available for Fintech, Healthcare, E-commerce, SaaS, Logistics clients |
| ML-powered personalisation for consumer-facing applications at scale | Available for Fintech, Healthcare, E-commerce, SaaS, Logistics clients |
| AI-driven SDLC acceleration for large software engineering organisations | Available for Fintech, Healthcare, E-commerce, SaaS, Logistics clients |
| Data engineering infrastructure to enable AI readiness for enterprise | Available for Fintech, Healthcare, E-commerce, SaaS, Logistics clients |
| NLP automation for enterprise back-office processes and document workflows | Available for Fintech, Healthcare, E-commerce, SaaS, Logistics clients |
Ciklum use cases
Short answer: Ciklum is best suited for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
| Use case | Industries | Approach |
|---|---|---|
| Generative AI features integrated into large enterprise digital products | Fintech, Healthcare | Python, LangChain |
| ML-powered personalisation for consumer-facing applications at scale | Fintech, Healthcare | Python, LangChain |
| AI-driven SDLC acceleration for large software engineering organisations | Fintech, Healthcare | Python, LangChain |
| Data engineering infrastructure to enable AI readiness for enterprise | Fintech, Healthcare | Python, LangChain |
| NLP automation for enterprise back-office processes and document workflows | Fintech, Healthcare | Python, LangChain |
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 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 |
| 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 |
| 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 |
| 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 |
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 seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. 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 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 Ciklum with other Machine Learning Development companies
Ciklum vs InData Labs Ciklum vs Tensorway Ciklum vs Simform Ciklum vs Blackthorn Vision Ciklum vs Codiste Ciklum vs DataRoot Labs Ciklum vs *instinctools Ciklum vs Neoteric Ciklum vs MobiDev Ciklum vs Leobit Ciklum vs STX Next Ciklum vs LeewayHertz Ciklum vs ScienceSoft Ciklum vs Fractal Analytics Ciklum vs Acropolium Ciklum vs Scopic Ciklum vs Iflexion Ciklum vs N-iX Ciklum vs Intellias Ciklum vs Oxagile Ciklum vs Innowise Ciklum vs Appinventiv Ciklum vs Devox Software Ciklum vs Intuz Ciklum vs Softeq Ciklum vs Itransition Ciklum vs ELEKS Ciklum vs Avenga Ciklum vs DataArt Ciklum vs Sigmoidal Ciklum vs Codiant Ciklum vs GlobalLogic Ciklum vs BairesDev Ciklum vs DataRobot Ciklum vs EPAM Systems Ciklum vs Accenture Ciklum vs Cognizant
Last reviewed: July 2026. Verify all details directly with Ciklum before making a decision.