deepsense.ai vs Globant: full comparison for 2026
Quick verdict
deepsense.ai (4.4/5) edges ahead of Globant (4.0/5) overall. deepsense.ai is the better choice for engineering teams wanting a strong RAG partner. Globant is the stronger option for firms wanting subscription-priced AI capacity. The right choice depends on your project size, budget, and required tech stack.
deepsense.ai vs Globant: head-to-head summary
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | Warsaw, Poland | Luxembourg (operations: Buenos Aires) |
| Team size | 101–200 | 28,500+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour |
| Pricing model | T&M and dedicated teams; rates on request | AI Pod subscriptions plus traditional T&M; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | LangChain, Azure OpenAI, AWS Bedrock | Globant Enterprise AI, Azure OpenAI, AWS Bedrock |
| Industries served | Manufacturing, Retail, Financial services, Healthcare | Media, Financial services, Retail, Travel |
deepsense.ai vs Globant: overview
deepsense.ai
deepsense.ai is an AI-first engineering company founded in 2014 out of the AI division of CodiLime, with headquarters in Warsaw and an office in Palo Alto. It employs roughly 120–200 people, including several Kaggle competition winners. Its integration work centres on LLM applications using retrieval-augmented generation (RAG), plus computer vision and edge deployments for manufacturing. It lists technical partnerships with OpenAI, NVIDIA, Anyscale and LangChain.
Globant
Globant is a NYSE-listed digital engineering company founded in 2003 in Buenos Aires and legally domiciled in Luxembourg, with more than 28,500 employees in over 30 countries. Its AI Pods are subscription units run by AI agents and supervised by human experts, and their annual recurring revenue reached $52.8 million in the second quarter of 2026. Glob.AI, launched in August 2026, sells these pods online and cites partnerships with OpenAI and Anthropic. Globant lowered its 2026 revenue guidance after slower North American decision cycles.
Services and capabilities: deepsense.ai vs Globant
| Capability | deepsense.ai | Globant |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✓ | ✗ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: deepsense.ai vs Globant
| Framework / platform | deepsense.ai | Globant |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | N/A |
| Databricks | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | ✓ | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: deepsense.ai vs Globant
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team | Subscription, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: deepsense.ai vs Globant
| Dimension | deepsense.ai | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail, Financial services | Media, Financial services, Retail |
| Best use cases | Retrieval assistants over technical manuals or internal knowledge bases., Visual defect detection on production lines with edge inference. | Buying AI-agent capacity for content or testing tasks on subscription., Large-scale digital product work with AI features. |
| Typical project type | Time & materials | Subscription |
deepsense.ai vs Globant: pros and cons
| deepsense.ai | |
|---|---|
| + | Deep ML talent, with evaluation of retrieval quality treated as part of the build |
| + | Experience deploying models on edge hardware as well as in the cloud |
| + | Open publication record and active LangChain contribution history |
| + | Comfortable working alongside an in-house data team |
| - | Less experience embedding AI inside packaged CRM or ERP products |
| - | Engagements lean toward engineering capacity, with less change-management support |
| Globant | |
|---|---|
| + | Subscription pricing makes AI capacity easier to budget |
| + | Large Latin American delivery base with U.S. time-zone overlap |
| + | Formal partnerships with major model providers |
| - | The AI Pods model is new and has a short track record |
| - | Guidance cut in 2026 signals financial pressure |
| - | Less evidence of deep CRM or ERP integration work |
Who should choose deepsense.ai?
A typical fit: retrieval assistants over technical manuals or internal knowledge bases.
Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Financial services, Healthcare.
Who should choose Globant?
A typical fit: buying AI-agent capacity for content or testing tasks on subscription.
Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Retail, Travel.
Decision matrix: deepsense.ai vs Globant
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Neither lists CRM/ERP integration work |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: deepsense.ai (Not disclosed) vs Globant (Not disclosed) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Both |
Use case fit: deepsense.ai vs Globant
| Use case | deepsense.ai fit | Globant fit | Winner |
|---|---|---|---|
| Retrieval assistants over technical manuals or internal knowledge bases. | Strong | Limited | deepsense.ai |
| Visual defect detection on production lines with edge inference. | Strong | Limited | deepsense.ai |
| Buying AI-agent capacity for content or testing tasks on subscription. | Limited | Strong | Globant |
| Large-scale digital product work with AI features. | Limited | Strong | Globant |
Verdict: deepsense.ai vs Globant
deepsense.ai (4.4/5) is the stronger overall choice for most AI Integration projects. Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets.
Globant (4.0/5) is worth a look if you need large-scale digital product work with AI features. If your situation matches that, Globant is a competitive option.
Related comparisons
deepsense.ai vs Globant FAQ
Is deepsense.ai better than Globant?
deepsense.ai (4.4/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: deep ML talent, with evaluation of retrieval quality treated as part of the build. Globant's strongest advantage: subscription pricing makes AI capacity easier to budget.
How do deepsense.ai and Globant differ in pricing?
deepsense.ai pricing: T&M and dedicated teams; rates on request. Globant pricing: AI Pod subscriptions plus traditional T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: deepsense.ai or Globant?
deepsense.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 deepsense.ai and Globant?
deepsense.ai's primary differentiator is: research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets. Globant's primary differentiator is: subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour. They also differ in team size (101–200 vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Manufacturing, Retail vs Media, Financial services).
Verify all details directly with each company before making a decision.