NILG.AI vs Deeper Insights: full comparison for 2026
Last updated: July 2026
Quick verdict
NILG.AI (4.5/5) edges ahead of Deeper Insights (4.3/5) 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.. Deeper Insights is the stronger option for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench.. The right choice depends on your project size, budget, and required tech stack.
NILG.AI vs Deeper Insights: head-to-head summary
| Criterion | NILG.AI | Deeper Insights |
|---|---|---|
| Founded | 2018 | 2014 |
| HQ | Porto, Portugal | London, United Kingdom |
| Team size | 10–49 | Not disclosed |
| Rating | 4.5 / 5 | 4.3 / 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. | Enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench. |
| Pricing model | Consulting engagement, pilot-to-scale retainer | Consulting engagement |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, scikit-learn, Data pipelines | Python, Data science pipelines, Document intelligence tooling |
| Industries served | Public Sector, Cross-industry AI adoption | Healthcare, Financial Services, Retail/E-commerce, Manufacturing |
NILG.AI vs Deeper Insights: 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.
Deeper Insights
Deeper Insights is a London, UK AI and data-science consultancy founded in 2014, with a team reported to hold 500+ citations and patents globally (per company website) — pointing to a research-oriented bench rather than a purely staffing-based delivery model. It serves healthcare, real estate, financial services, retail, recruitment, and manufacturing clients through AI consulting, data science, machine learning, and document intelligence work. Team size is not publicly disclosed.
Services and capabilities: NILG.AI vs Deeper Insights
| Capability | NILG.AI | Deeper Insights |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: NILG.AI vs Deeper Insights
| Framework / platform | NILG.AI | Deeper Insights |
|---|---|---|
| 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 Deeper Insights
| Criterion | NILG.AI | Deeper Insights |
|---|---|---|
| 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 Deeper Insights
| Dimension | NILG.AI | Deeper Insights |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public Sector, Cross-industry AI adoption | Healthcare, Financial Services, Retail/E-commerce |
| Best use cases | AI opportunity discovery workshops, Municipal and public-sector optimization pilots | Document intelligence and processing systems, Healthcare data science projects |
| Typical project type | Consulting retainer | Consulting retainer |
NILG.AI vs Deeper Insights: 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 |
| Deeper Insights | |
|---|---|
| + | Founded 2014 with a decade of UK market presence |
| + | 500+ citations and patents across the team signals genuine research depth (per company website; independently unverifiable at the individual level) |
| + | Wide industry coverage from healthcare to real estate to manufacturing |
| + | London HQ gives strong access to UK financial-services and enterprise buyers |
| - | Team size is not publicly disclosed, making capacity planning harder for prospective clients to assess |
| - | Named enterprise clients are described generically rather than listed, limiting independent verification |
| - | AI SEO service line suggests some revenue diversification away from core ML delivery |
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 Deeper Insights?
Deeper Insights is the right choice for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench..
Team holds 500+ citations and patents globally (per company website), signaling research depth rather than a purely delivery-focused staffing model.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Financial Services, Retail/E-commerce, Manufacturing.
Decision matrix: NILG.AI vs Deeper Insights
| 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 Deeper Insights (Not published) |
| You need specialist depth in a specific vertical | Deeper Insights |
| 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 Deeper Insights
| Use case | NILG.AI fit | Deeper Insights fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Limited | NILG.AI |
| Municipal and public-sector optimization pilots | Strong | Limited | NILG.AI |
| Document intelligence and processing systems | Limited | Strong | Deeper Insights |
| Healthcare data science projects | Limited | Strong | Deeper Insights |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: NILG.AI vs Deeper Insights
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..
Deeper Insights (4.3/5) is the better choice when enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench.. If your situation matches those criteria, Deeper Insights is a competitive option.
Related comparisons
NILG.AI vs Deeper Insights FAQ
Is NILG.AI better than Deeper Insights?
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.. Deeper Insights is better for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench..
How do NILG.AI and Deeper Insights differ in pricing?
NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. Deeper Insights uses consulting engagement 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 Deeper Insights?
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 Deeper Insights?
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.. Deeper Insights's primary differentiator is: team holds 500+ citations and patents globally (per company website), signaling research depth rather than a purely delivery-focused staffing model.. 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 Healthcare, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.