LeewayHertz vs Innowise: full comparison for 2026
Last updated: July 2026
Quick verdict
LeewayHertz (4.2/5) edges ahead of Innowise (3.7/5) overall. LeewayHertz is the better choice for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. Innowise is the stronger option for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. The right choice depends on your project size, budget, and required tech stack.
LeewayHertz vs Innowise: head-to-head summary
| Criterion | LeewayHertz | Innowise |
|---|---|---|
| Founded | 2007 | 2007 |
| HQ | San Francisco, California, United States | Warsaw, Poland |
| Team size | 200–300 | 3,500+ |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Best for | Enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group). | Companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group. |
| Pricing model | Project-based, retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, Hugging Face | Python, AWS, Apache Spark |
| Industries served | FinTech, Healthcare, Manufacturing, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare, Manufacturing |
LeewayHertz vs Innowise: overview
LeewayHertz
LeewayHertz was founded in 2007 by Akash Takyar and Viresh Bhathia and is headquartered in San Francisco, combining strategic AI advisory with engineering delivery and proprietary AI platforms. On September 23, 2024, LeewayHertz was acquired by The Hackett Group, a publicly traded management consulting firm, giving it access to Hackett's enterprise client relationships. Reported employee counts range from roughly 194 to 300, and as with any recently acquired firm, prospective clients should verify current team continuity.
Innowise
Innowise was founded in 2007 and is headquartered in Warsaw, Poland, with more than 3,500 vetted engineers on staff. The company's Data and AI hub reportedly unites 300+ specialists who have delivered 200+ AI-enabled projects, maintaining dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. While the AI hub's 300-person headcount is sizable in absolute terms, it represents less than 10% of Innowise's total 3,500+ engineering staff, reflecting the company's broader identity as a general software engineering group.
Services and capabilities: LeewayHertz vs Innowise
| Capability | LeewayHertz | Innowise |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: LeewayHertz vs Innowise
| Framework / platform | LeewayHertz | Innowise |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: LeewayHertz vs Innowise
| Criterion | LeewayHertz | Innowise |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Retainer, Dedicated team | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: LeewayHertz vs Innowise
| Dimension | LeewayHertz | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Manufacturing | FinTech, Retail & E-commerce, Healthcare |
| Best use cases | Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy., Company needs generative AI or AI agent development with proprietary platform accelerators. | Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool., Enterprise needs machine learning plus robotic process automation from a single large vendor. |
| Typical project type | Project-based | Dedicated team |
LeewayHertz vs Innowise: pros and cons
| LeewayHertz | |
|---|---|
| + | 17 years of AI/software delivery history since 2007, well-established before its 2024 acquisition. |
| + | Now backed by The Hackett Group, a publicly traded management consulting firm, adding financial stability and enterprise client access. |
| + | Proprietary AI platform assets built pre-acquisition can shorten delivery timelines for common use cases. |
| - | September 2024 acquisition by The Hackett Group is recent enough that integration effects on pricing and delivery team stability are still unfolding. |
| - | Employee-count sources disagree meaningfully (194 vs. 300), so confirm current AI-delivery headcount directly. |
| Innowise | |
|---|---|
| + | 300+ person Data and AI hub is a specifically named, dedicated practice rather than an unstructured claim of AI capability. |
| + | 200+ AI-enabled projects delivered gives the AI hub a meaningful, quantified track record. |
| + | 3,500+ total engineers provide substantial staffing depth to scale an engagement quickly if needed. |
| + | 17 years of company history (since 2007) as an award-winning custom software developer with strong Clutch client reviews. |
| - | The 300-person AI hub represents a small fraction (well under 10%) of Innowise's total 3,500+ engineering staff — confirm the engagement is staffed from the AI hub specifically. |
| - | Broader company identity is general custom software development, with AI/ML as one of several practice areas (alongside RPA and metaverse development). |
Who should choose LeewayHertz?
LeewayHertz is the right choice for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Manufacturing, Retail & E-commerce.
Who should choose Innowise?
Innowise is the right choice for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale.. Minimum engagement starts at Not published. Works best with clients in FinTech, Retail & E-commerce, Healthcare, Manufacturing.
Decision matrix: LeewayHertz vs Innowise
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | LeewayHertz |
| Your budget is at the lower end | Compare: LeewayHertz (Not published) vs Innowise (Not published) |
| You need specialist depth in a specific vertical | LeewayHertz |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | LeewayHertz |
Use case fit: LeewayHertz vs Innowise
| Use case | LeewayHertz fit | Innowise fit | Winner |
|---|---|---|---|
| Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy. | Strong | Strong | Both equally |
| Company needs generative AI or AI agent development with proprietary platform accelerators. | Strong | Strong | Both equally |
| Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool. | Strong | Strong | Both equally |
| Enterprise needs machine learning plus robotic process automation from a single large vendor. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: LeewayHertz vs Innowise
LeewayHertz (4.2/5) is the stronger overall choice for most Machine Learning Development projects. AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing.. It is best for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
Innowise (3.7/5) is the better choice when companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. If your situation matches those criteria, Innowise is a competitive option.
Related comparisons
LeewayHertz vs Innowise FAQ
Is LeewayHertz better than Innowise?
LeewayHertz (4.2/5) scores higher overall, but "better" depends on your use case. LeewayHertz is better for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. Innowise is better for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
How do LeewayHertz and Innowise differ in pricing?
LeewayHertz uses project-based, retainer pricing with a minimum engagement of Not published. Innowise uses time & materials, 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: LeewayHertz or Innowise?
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 LeewayHertz and Innowise?
LeewayHertz's primary differentiator is: ai consultancy now operating as a hackett group company, combining startup-era agility with public-company backing.. Innowise's primary differentiator is: a specifically named 300+ person data and ai hub within a much larger 3,500+ engineer group, giving both focus and scale.. They also differ in team size (200–300 vs 3,500+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.