deepsense.ai vs LeewayHertz: full comparison for 2026
Quick verdict
deepsense.ai (4.4/5) edges ahead of LeewayHertz (3.8/5) overall. deepsense.ai is the better choice for engineering teams wanting a strong RAG partner. LeewayHertz is the stronger option for buyers open to a platform-led ZBrain build. The right choice depends on your project size, budget, and required tech stack.
deepsense.ai vs LeewayHertz: head-to-head summary
| Criterion | deepsense.ai | LeewayHertz |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Warsaw, Poland | San Francisco, CA, USA (operations: Gurgaon, India) |
| Team size | 101–200 | 150–500 |
| Rating | 4.4 / 5 | 3.8 / 5 |
| Primary differentiator | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | Builds on its own ZBrain low-code platform, now backed by The Hackett Group |
| Pricing model | T&M and dedicated teams; rates on request | Platform licensing plus services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | LangChain, Azure OpenAI, AWS Bedrock | ZBrain, Azure OpenAI, AWS Bedrock |
| Industries served | Manufacturing, Retail, Financial services, Healthcare | Financial services, Healthcare, Retail & e-commerce, Manufacturing |
deepsense.ai vs LeewayHertz: 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.
LeewayHertz
LeewayHertz is a generative AI development company founded in 2007, listed in San Francisco with its main operations in Gurgaon, India, and roughly 150–500 staff. The Hackett Group acquired it in September 2024 for about $7.8 million and formed a joint venture around its ZBrain platform. ZBrain combines an assessment tool (XPLR) and a low-code builder for enterprise AI applications. A very large library of AI articles gives the firm more visibility than its delivery record alone would.
Services and capabilities: deepsense.ai vs LeewayHertz
| Capability | deepsense.ai | LeewayHertz |
|---|---|---|
| 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 LeewayHertz
| Framework / platform | deepsense.ai | LeewayHertz |
|---|---|---|
| Salesforce | N/A | 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 | ✓ | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: deepsense.ai vs LeewayHertz
| Criterion | deepsense.ai | LeewayHertz |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: deepsense.ai vs LeewayHertz
| Dimension | deepsense.ai | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail, Financial services | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Retrieval assistants over technical manuals or internal knowledge bases., Visual defect detection on production lines with edge inference. | Building internal AI apps on ZBrain., Process assessments using Hackett benchmarks. |
| Typical project type | Time & materials | Fixed project |
deepsense.ai vs LeewayHertz: 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 |
| LeewayHertz | |
|---|---|
| + | ZBrain gives a ready platform for building internal AI apps |
| + | Hackett Group ownership adds benchmarking and process consulting |
| + | Long history in software development |
| - | Acquired by The Hackett Group in 2024, so roadmap decisions now sit with its parent |
| - | Platform-led builds tie you to ZBrain |
| - | Marketing volume is much larger than independently verifiable case detail |
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 LeewayHertz?
A typical fit: building internal AI apps on ZBrain.
Builds on its own ZBrain low-code platform, now backed by The Hackett Group. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Manufacturing.
Decision matrix: deepsense.ai vs LeewayHertz
| 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 LeewayHertz (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 LeewayHertz
| Use case | deepsense.ai fit | LeewayHertz 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 |
| Building internal AI apps on ZBrain. | Limited | Strong | LeewayHertz |
| Process assessments using Hackett benchmarks. | Limited | Strong | LeewayHertz |
Verdict: deepsense.ai vs LeewayHertz
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.
LeewayHertz (3.8/5) is worth a look if you need process assessments using Hackett benchmarks. If your situation matches that, LeewayHertz is a competitive option.
Related comparisons
deepsense.ai vs LeewayHertz FAQ
Is deepsense.ai better than LeewayHertz?
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. LeewayHertz's strongest advantage: ZBrain gives a ready platform for building internal AI apps.
How do deepsense.ai and LeewayHertz differ in pricing?
deepsense.ai pricing: T&M and dedicated teams; rates on request. LeewayHertz pricing: Platform licensing plus services; 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 LeewayHertz?
LeewayHertz 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 LeewayHertz?
deepsense.ai's primary differentiator is: research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets. LeewayHertz's primary differentiator is: builds on its own ZBrain low-code platform, now backed by The Hackett Group. They also differ in team size (101–200 vs 150–500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Manufacturing, Retail vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.