Best AI Agent Development Companies

Innowise vs LeewayHertz: full comparison for 2026

Last updated: August 2026

Quick verdict

Innowise (3.9/5) edges ahead of LeewayHertz (3.9/5) overall. Innowise is the better choice for enterprises wanting agentic AI bundled with large-scale custom software development capacity.. LeewayHertz is the stronger option for enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach.. The right choice depends on your project size, budget, and required tech stack.

Innowise vs LeewayHertz: head-to-head summary

Criterion Innowise LeewayHertz
Founded 2007 2007
HQ Warsaw, Poland Gurugram, India
Team size 3,500+ 51–300
Rating 3.9 / 5 3.9 / 5
Best for Enterprises wanting agentic AI bundled with large-scale custom software development capacity. Enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach.
Pricing model Fixed project, dedicated team, staff augmentation Fixed project, dedicated team
Min. engagement $20K (per company website; independently unverifiable) $25K (per company website; independently unverifiable)
Primary tech stack Python, LangChain, AWS Python, LangChain, LangGraph
Industries served Healthcare, Financial Services, Retail & E-commerce, Manufacturing Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS

Innowise vs LeewayHertz: overview

Innowise

Innowise is an international full-cycle software development company founded in 2007 and headquartered in Warsaw, Poland, bringing together more than 3,500 IT professionals across a broad portfolio of custom software, and more recently AI and agentic AI services. Its scale gives it capacity for large, multi-team programs across a wide range of industries, though its origins are as a generalist software house rather than an AI-first specialist. Buyers prioritizing agent-framework depth over broad software delivery capacity may prefer a narrower specialist.

LeewayHertz

LeewayHertz is an AI development company founded in 2007, with LinkedIn listing its headquarters in Gurugram, Haryana, India and other sources noting a San Francisco corporate office; reported headcount ranges from roughly 180 to 300 employees. The firm was acquired by The Hackett Group on September 16, 2024, which now folds LeewayHertz's AI and agent development capability into Hackett's broader enterprise consulting business — a material ownership change buyers should factor into long-term vendor continuity planning. It focuses on multi-agent system design for complex, data-rich enterprise environments, including orchestration framework selection and integration with ERP and CRM systems.

Services and capabilities: Innowise vs LeewayHertz

Capability Innowise LeewayHertz
Multi-agent orchestration
RAG / knowledge integration
Workflow & systems integration
Coding agents
Monitoring & anomaly detection
Customer-facing agents

Tech stack comparison: Innowise vs LeewayHertz

Framework / platform Innowise LeewayHertz
LangChain
LangGraph N/A
AutoGen N/A N/A
LlamaIndex N/A N/A
OpenAI N/A N/A
Anthropic Claude N/A N/A
Pinecone N/A N/A
AWS
Azure
Kubernetes N/A N/A

Pricing comparison: Innowise vs LeewayHertz

Criterion Innowise LeewayHertz
Minimum engagement $20K (per company website; independently unverifiable) $25K (per company website; independently unverifiable)
Engagement models Fixed project, Dedicated team, Staff augmentation Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Innowise vs LeewayHertz

Dimension Innowise LeewayHertz
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Financial Services, Retail & E-commerce Financial Services, Manufacturing, Retail & E-commerce
Best use cases Bundling agentic AI development with a larger custom software build, Large-scale staff augmentation for an in-house AI team that needs more capacity Multi-agent architecture design for data-rich enterprise environments, Agents requiring deep ERP or CRM integration (e.g. Salesforce, SAP)
Typical project type Fixed project Fixed project

Innowise vs LeewayHertz: pros and cons

Innowise
+ 3,500+ IT professionals gives significant capacity for large or multi-workstream programs
+ Full-cycle software development background covers everything from design through deployment
+ Nearly two decades of operating history since 2007
+ Broad industry coverage suits enterprises without a narrow vertical focus
- Generalist software-development origins mean agentic AI depth is newer than its overall tenure
- Very large organization size can mean less senior-architect access than boutique competitors
- Public case studies emphasize breadth of software services more than agent-specific outcomes
LeewayHertz
+ Nearly two decades of AI development history since 2007
+ Deep experience with multi-agent orchestration framework selection for complex environments
+ Strong ERP/CRM integration experience for enterprise data-rich deployments
+ Post-acquisition access to The Hackett Group's broader enterprise consulting network
- Acquired by The Hackett Group in September 2024 — a material ownership change that can affect team continuity and long-term account relationships
- Reported headquarters and headcount vary noticeably across sources, worth confirming directly post-acquisition
- Heavy content-marketing presence means its public profile can outpace independently verified differentiation versus peers of similar size

Who should choose Innowise?

Innowise is the right choice for enterprises wanting agentic AI bundled with large-scale custom software development capacity..

Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Healthcare, Financial Services, Retail & E-commerce, Manufacturing.

Who should choose LeewayHertz?

LeewayHertz is the right choice for enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach..

Deep multi-agent architecture and orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS.

Decision matrix: Innowise vs LeewayHertz

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Innowise
You need a large dedicated team for an ongoing programme Innowise
Your budget is at the lower end Innowise
You need specialist depth in a specific vertical Innowise
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: Innowise vs LeewayHertz

Use case Innowise fit LeewayHertz fit Winner
Bundling agentic AI development with a larger custom software build Strong Limited Innowise
Large-scale staff augmentation for an in-house AI team that needs more capacity Strong Limited Innowise
Multi-agent architecture design for data-rich enterprise environments Limited Strong LeewayHertz
Agents requiring deep ERP or CRM integration (e.g. Salesforce, SAP) Limited Strong LeewayHertz
Fixed-price build Limited Limited Both equally
Staff augmentation Strong Limited Innowise

Verdict: Innowise vs LeewayHertz

Innowise (3.9/5) is the stronger overall choice for most AI Agent Development projects. Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice.. It is best for enterprises wanting agentic AI bundled with large-scale custom software development capacity..

LeewayHertz (3.9/5) is the better choice when enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach.. If your situation matches those criteria, LeewayHertz is a competitive option.

Related comparisons

Innowise vs LeewayHertz FAQ

Is Innowise better than LeewayHertz?

Innowise (3.9/5) scores higher overall, but "better" depends on your use case. Innowise is better for enterprises wanting agentic AI bundled with large-scale custom software development capacity.. LeewayHertz is better for enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach..

How do Innowise and LeewayHertz differ in pricing?

Innowise uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). LeewayHertz uses fixed project, dedicated team pricing with a minimum engagement of $25K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Innowise 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 Innowise and LeewayHertz?

Innowise's primary differentiator is: full-cycle software development scale (3,500+ engineers) applied to agentic ai as an extension of a broad existing practice.. LeewayHertz's primary differentiator is: deep multi-agent architecture and orchestration-framework selection experience, now combined with the hackett group's enterprise consulting network post-acquisition.. They also differ in team size (3,500+ vs 51–300), minimum engagement ($20K (per company website; independently unverifiable) vs $25K (per company website; independently unverifiable)), and primary industries served (Healthcare, Financial Services vs Financial Services, Manufacturing).

Last reviewed: August 2026. Verify all details directly with each company before making a decision.