NILG.AI vs Predli: full comparison for 2026
Last updated: July 2026
Quick verdict
NILG.AI (4.5/5) edges ahead of Predli (4.2/5) overall. NILG.AI is the better choice for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build.. Predli is the stronger option for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team.. The right choice depends on your project size, budget, and required tech stack.
NILG.AI vs Predli: head-to-head summary
| Criterion | NILG.AI | Predli |
|---|---|---|
| Founded | 2018 | 2019 |
| HQ | Porto, Portugal | Stockholm, Sweden |
| Team size | 10–49 | Not disclosed |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Best for | Companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build. | Organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team. |
| Pricing model | Consulting engagement, pilot-to-scale retainer | Consulting engagement, project-based |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, scikit-learn, Data pipelines | Python, Generative AI frameworks, Cloud ML platforms |
| Industries served | Public Sector, Cross-industry AI adoption | Cross-industry AI adoption |
NILG.AI vs Predli: overview
NILG.AI
NILG.AI is a Porto, Portugal AI consultancy founded in 2018 by Kelwin Fernandes (PhD, Computer Science, University of Porto) and Nohelia González. It runs a structured discover-pilot-scale methodology to help businesses identify high-impact AI opportunities, validate them, and scale what works, and has assisted over 100 companies across sectors. The company was incubated at UPTEC and was awarded Data Changemaker of the Year at DSPA Insights 2024 for an AI-driven urban waste-management project in the Algarve. Its YouTube education channel has over 100,000 subscribers and NILG.AI was selected for Microsoft's 'Learn with Creators' program.
Predli
Predli is a Stockholm, Sweden AI consulting company founded in 2019, combining strategy, engineering, and applied research to take organizations from first AI experiments to production-grade systems. Its 'Predli Studio' functions as a dedicated build unit for turning AI strategy directly into custom production solutions, alongside tech due diligence and AI masterclasses. The company has delivered 40+ AI use-cases for 50+ clients globally (per company website); team size is not publicly disclosed.
Services and capabilities: NILG.AI vs Predli
| Capability | NILG.AI | Predli |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: NILG.AI vs Predli
| Framework / platform | NILG.AI | Predli |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: NILG.AI vs Predli
| Criterion | NILG.AI | Predli |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Consulting retainer, Fixed-scope pilot | Consulting retainer, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: NILG.AI vs Predli
| Dimension | NILG.AI | Predli |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public Sector, Cross-industry AI adoption | Cross-industry AI adoption |
| Best use cases | AI opportunity discovery workshops, Municipal and public-sector optimization pilots | AI strategy and tech due diligence, Generative AI production builds via Predli Studio |
| Typical project type | Consulting retainer | Consulting retainer |
NILG.AI vs Predli: pros and cons
| NILG.AI | |
|---|---|
| + | Founder-level technical credibility (PhD-led, Microsoft education partner) uncommon at this company size |
| + | Structured discovery-pilot-scale methodology reduces risk for first-time AI buyers |
| + | Public recognition (Data Changemaker of the Year 2024) for a real municipal deployment |
| + | Incubated at UPTEC, giving it ties into Porto's applied-research ecosystem |
| - | 10–49 employee band limits capacity for running several large programs concurrently |
| - | Heavier emphasis on strategy and pilot work than large-scale production ML engineering compared to bigger players |
| - | Public case studies skew toward public-sector and education rather than regulated enterprise sectors |
| Predli | |
|---|---|
| + | 40+ AI use-cases delivered end-to-end for 50+ clients globally (per company website) |
| + | Combines tech due diligence and masterclasses alongside hands-on build work, useful for less AI-mature buyers |
| + | Stockholm HQ gives access to the strong Nordic tech and startup ecosystem |
| + | Founded 2019 with a focused, single-market Nordic identity |
| - | Team size is not publicly disclosed |
| - | Founded 2019 — shorter track record than several Polish and German competitors on this list |
| - | Public case study detail (client names, metrics) is limited |
Who should choose NILG.AI?
NILG.AI is the right choice for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build..
Founder-led by a University of Porto PhD with a public AI-education arm (100K+ YouTube subscribers, Microsoft education partner) that doubles as a technical credibility signal.. Minimum engagement starts at Not published. Works best with clients in Public Sector, Cross-industry AI adoption.
Who should choose Predli?
Predli is the right choice for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team..
'Predli Studio' is a dedicated build function that turns AI strategy directly into production-grade custom solutions, rather than handing delivery to a separate vendor.. Minimum engagement starts at Not published. Works best with clients in Cross-industry AI adoption.
Decision matrix: NILG.AI vs Predli
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | NILG.AI |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: NILG.AI (Not published) vs Predli (Not published) |
| You need specialist depth in a specific vertical | NILG.AI |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | NILG.AI |
Use case fit: NILG.AI vs Predli
| Use case | NILG.AI fit | Predli fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| Municipal and public-sector optimization pilots | Strong | Limited | NILG.AI |
| AI strategy and tech due diligence | Strong | Strong | Both equally |
| Generative AI production builds via Predli Studio | Limited | Strong | Predli |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: NILG.AI vs Predli
NILG.AI (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led by a University of Porto PhD with a public AI-education arm (100K+ YouTube subscribers, Microsoft education partner) that doubles as a technical credibility signal.. It is best for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build..
Predli (4.2/5) is the better choice when organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team.. If your situation matches those criteria, Predli is a competitive option.
Related comparisons
NILG.AI vs Predli FAQ
Is NILG.AI better than Predli?
NILG.AI (4.5/5) scores higher overall, but "better" depends on your use case. NILG.AI is better for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build.. Predli is better for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team..
How do NILG.AI and Predli differ in pricing?
NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. Predli uses consulting engagement, project-based pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: NILG.AI or Predli?
NILG.AI 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 NILG.AI and Predli?
NILG.AI's primary differentiator is: founder-led by a university of porto phd with a public ai-education arm (100k+ youtube subscribers, microsoft education partner) that doubles as a technical credibility signal.. Predli's primary differentiator is: 'predli studio' is a dedicated build function that turns ai strategy directly into production-grade custom solutions, rather than handing delivery to a separate vendor.. They also differ in team size (10–49 vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Public Sector, Cross-industry AI adoption vs Cross-industry AI adoption).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.