Plain Concepts vs CodeLeap: full comparison for 2026
Last updated: July 2026
Quick verdict
Plain Concepts (3.9/5) edges ahead of CodeLeap (3.9/5) overall. Plain Concepts is the better choice for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. CodeLeap is the stronger option for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. The right choice depends on your project size, budget, and required tech stack.
Plain Concepts vs CodeLeap: head-to-head summary
| Criterion | Plain Concepts | CodeLeap |
|---|---|---|
| Founded | 2006 | 2019 |
| HQ | Madrid, Spain | London, UK |
| Team size | 201–500 | 11–50 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery | Early-stage and growth-stage startups wanting fast, founder-friendly AI feature development |
| Pricing model | Dedicated team, fixed project, retainer | Fixed project, dedicated team |
| Min. engagement | $35K | $15K |
| Primary tech stack | Python, Azure ML, Azure OpenAI Service | Python, React, Node.js |
| Industries served | Enterprise, Retail, Healthcare, Financial Services | SaaS, E-commerce, Fintech |
Plain Concepts vs CodeLeap: overview
Plain Concepts
Plain Concepts, founded in 2006 and headquartered in Madrid, Spain, is a 450-plus person technology consultancy with offices across the USA, UK, Spain, Germany, the Netherlands, and Romania. As a Microsoft Gold Partner, Microsoft AI Partner, and 2016 Microsoft Partner of the Year, Plain Concepts brings deep Azure-native AI and machine learning delivery experience alongside mixed reality and IoT engineering.
CodeLeap
CodeLeap, registered as Codeleap Ltd in England, was founded in 2019 and is headquartered in London, UK. The agency works closely with startups and growth-stage companies to build digital products with AI features, positioning itself around speed and a founder-friendly delivery model rather than large-scale enterprise engagement.
Services and capabilities: Plain Concepts vs CodeLeap
| Capability | Plain Concepts | CodeLeap |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✓ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Plain Concepts vs CodeLeap
| Framework / platform | Plain Concepts | CodeLeap |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Plain Concepts vs CodeLeap
| Criterion | Plain Concepts | CodeLeap |
|---|---|---|
| Minimum engagement | $35K | $15K |
| Engagement models | Dedicated team, Fixed project, Retainer | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Plain Concepts vs CodeLeap
| Dimension | Plain Concepts | CodeLeap |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Enterprise, Retail, Healthcare | SaaS, E-commerce, Fintech |
| Best use cases | Azure-native ML model deployment for an enterprise client, Mixed reality plus AI product development | Adding an AI feature to an early-stage startup product, Fast MVP development with an embedded ML component |
| Typical project type | Dedicated team | Fixed project |
Plain Concepts vs CodeLeap: pros and cons
| Plain Concepts | |
|---|---|
| + | Two decades of operating history since founding in 2006, with Microsoft Gold and AI Partner status |
| + | Multi-country office footprint across Spain, the UK, Germany, the Netherlands, Romania, and the US for broad coverage |
| + | Deep Azure-native ML and AI delivery credentials, useful for Microsoft-standardized enterprises |
| + | Recognized with Microsoft Partner of the Year award in 2016 |
| - | Azure-centric specialization may be less ideal for clients standardized on AWS or GCP |
| - | Broader technology consultancy scope, including mixed reality and IoT, means ML is one of several core practices |
| - | Larger enterprise-oriented engagement sizes, less accessible for very small startup budgets |
| CodeLeap | |
|---|---|
| + | Legally registered in England with a London-based, client-facing team |
| + | Founder-friendly delivery model designed specifically around startup speed and iteration |
| + | Lower minimum engagement size than most enterprise-oriented firms on this list |
| + | Focused specifically on AI-featured digital product builds rather than broad enterprise IT |
| - | Founded in 2019, one of the newer and smaller firms on this list with a shorter track record |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream programmes |
| - | Less suited to heavily regulated enterprise ML programmes than larger specialist firms |
Who should choose Plain Concepts?
Plain Concepts is the right choice for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. Minimum engagement starts at $35K. Works best with clients in Enterprise, Retail, Healthcare, Financial Services.
Who should choose CodeLeap?
CodeLeap is the right choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.
Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. Minimum engagement starts at $15K. Works best with clients in SaaS, E-commerce, Fintech.
Decision matrix: Plain Concepts vs CodeLeap
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Plain Concepts |
| You need a large dedicated team for an ongoing programme | Plain Concepts |
| Your budget is at the lower end | CodeLeap |
| You need specialist depth in a specific vertical | Plain Concepts |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Plain Concepts |
Use case fit: Plain Concepts vs CodeLeap
| Use case | Plain Concepts fit | CodeLeap fit | Winner |
|---|---|---|---|
| Azure-native ML model deployment for an enterprise client | Strong | Limited | Plain Concepts |
| Mixed reality plus AI product development | Strong | Limited | Plain Concepts |
| Adding an AI feature to an early-stage startup product | Limited | Strong | CodeLeap |
| Fast MVP development with an embedded ML component | Limited | Strong | CodeLeap |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Plain Concepts vs CodeLeap
Plain Concepts (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. It is best for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
CodeLeap (3.9/5) is the better choice when early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. If your situation matches those criteria, CodeLeap is a competitive option.
Related comparisons
Plain Concepts vs CodeLeap FAQ
Is Plain Concepts better than CodeLeap?
Plain Concepts (3.9/5) scores higher overall, but "better" depends on your use case. Plain Concepts is better for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. CodeLeap is better for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.
How do Plain Concepts and CodeLeap differ in pricing?
Plain Concepts uses dedicated team, fixed project, retainer pricing with a minimum engagement of $35K. CodeLeap uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Plain Concepts or CodeLeap?
Plain Concepts is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Plain Concepts and CodeLeap?
Plain Concepts's primary differentiator is: deep azure-native ai and ml delivery credentials as a microsoft gold and ai partner, plus mixed reality expertise. CodeLeap's primary differentiator is: founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. They also differ in team size (201–500 vs 11–50), minimum engagement ($35K vs $15K), and primary industries served (Enterprise, Retail vs SaaS, E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.