Deeper Insights vs Grape Up: full comparison for 2026
Last updated: July 2026
Quick verdict
Deeper Insights (4.3/5) edges ahead of Grape Up (4.0/5) overall. Deeper Insights is the better choice for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench.. Grape Up is the stronger option for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. The right choice depends on your project size, budget, and required tech stack.
Deeper Insights vs Grape Up: head-to-head summary
| Criterion | Deeper Insights | Grape Up |
|---|---|---|
| Founded | 2014 | 2006 |
| HQ | London, United Kingdom | Kraków, Poland |
| Team size | Not disclosed | Not disclosed |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench. | Automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm. |
| Pricing model | Consulting engagement | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Data science pipelines, Document intelligence tooling | Python, Kubernetes, Cloud-native platforms |
| Industries served | Healthcare, Financial Services, Retail/E-commerce, Manufacturing | Automotive, Financial Services, Manufacturing, Aviation |
Deeper Insights vs Grape Up: overview
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.
Grape Up
Grape Up is a Kraków, Poland AI and cloud-native engineering firm founded in 2006, delivering agentic AI, generative-AI-powered legacy modernization, and advanced analytics alongside its own productized platforms: Databoostr for data sharing and monetization, and Cloudboostr, a Kubernetes stack for cloud deployment. Named clients include Porsche, Nissan, Mazda, Ducati, BNP, and Allstate (per company website), concentrated in automotive, finance, manufacturing, and aviation.
Services and capabilities: Deeper Insights vs Grape Up
| Capability | Deeper Insights | Grape Up |
|---|---|---|
| ML Development | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✓ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✓ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: Deeper Insights vs Grape Up
| Framework / platform | Deeper Insights | Grape Up |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Deeper Insights vs Grape Up
| Criterion | Deeper Insights | Grape Up |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Consulting retainer, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: Deeper Insights vs Grape Up
| Dimension | Deeper Insights | Grape Up |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Financial Services, Retail/E-commerce | Automotive, Financial Services, Manufacturing |
| Best use cases | Document intelligence and processing systems, Healthcare data science projects | Agentic AI workflow automation for enterprises, Generative-AI-powered legacy system modernization |
| Typical project type | Consulting retainer | Fixed project |
Deeper Insights vs Grape Up: pros and cons
| 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 |
| Grape Up | |
|---|---|
| + | Notable automotive and finance client roster (Porsche, Nissan, Mazda, Ducati, BNP, Allstate) per company website |
| + | Own productized platforms (Databoostr, Cloudboostr) show deeper platform-engineering capability than pure staffing vendors |
| + | Founded 2006 — nearly two decades of continuous Kraków-based delivery |
| + | Agentic AI and GenAI-powered legacy modernization address a current enterprise pain point directly |
| - | Team size and detailed employee count are not publicly disclosed |
| - | Cloud-native and Kubernetes engineering roots mean AI/ML depth may be shallower than pure-play ML boutiques |
| - | Public case studies emphasize client logos over specific project outcomes and metrics |
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.
Who should choose Grape Up?
Grape Up is the right choice for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..
Built its own productized platforms (Databoostr, Cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. Minimum engagement starts at Not published. Works best with clients in Automotive, Financial Services, Manufacturing, Aviation.
Decision matrix: Deeper Insights vs Grape Up
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Deeper Insights |
| You need a large dedicated team for an ongoing programme | Grape Up |
| Your budget is at the lower end | Compare: Deeper Insights (Not published) vs Grape Up (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 | Deeper Insights |
Use case fit: Deeper Insights vs Grape Up
| Use case | Deeper Insights fit | Grape Up fit | Winner |
|---|---|---|---|
| Document intelligence and processing systems | Strong | Limited | Deeper Insights |
| Healthcare data science projects | Strong | Limited | Deeper Insights |
| Agentic AI workflow automation for enterprises | Limited | Strong | Grape Up |
| Generative-AI-powered legacy system modernization | Limited | Strong | Grape Up |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Deeper Insights vs Grape Up
Deeper Insights (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Team holds 500+ citations and patents globally (per company website), signaling research depth rather than a purely delivery-focused staffing model.. It is best for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench..
Grape Up (4.0/5) is the better choice when automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. If your situation matches those criteria, Grape Up is a competitive option.
Related comparisons
Deeper Insights vs Grape Up FAQ
Is Deeper Insights better than Grape Up?
Deeper Insights (4.3/5) scores higher overall, but "better" depends on your use case. Deeper Insights is better for enterprises across healthcare, real estate, and financial services wanting a UK-based AI consultancy with a research-heavy bench.. Grape Up is better for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..
How do Deeper Insights and Grape Up differ in pricing?
Deeper Insights uses consulting engagement pricing with a minimum engagement of Not published. Grape Up uses fixed project, dedicated team 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: Deeper Insights or Grape Up?
Deeper Insights 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 Deeper Insights and Grape Up?
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.. Grape Up's primary differentiator is: built its own productized platforms (databoostr, cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. They also differ in team size (Not disclosed vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Financial Services vs Automotive, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.