Best AI Agent Development Companies

N-iX vs LeewayHertz: full comparison for 2026

Last updated: August 2026

Quick verdict

N-iX (3.9/5) edges ahead of LeewayHertz (3.9/5) overall. N-iX is the better choice for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. 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.

N-iX vs LeewayHertz: head-to-head summary

Criterion N-iX LeewayHertz
Founded 2002 2007
HQ Lviv, Ukraine Gurugram, India
Team size 1,001–5,000 51–300
Rating 3.9 / 5 3.9 / 5
Best for Large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program. Enterprises wanting multi-agent system design with deep ERP/CRM integration, now backed by Hackett Group's consulting reach.
Pricing model Dedicated team, staff augmentation Fixed project, dedicated team
Min. engagement Not published $25K (per company website; independently unverifiable)
Primary tech stack Python, LangChain, AWS Python, LangChain, LangGraph
Industries served Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS

N-iX vs LeewayHertz: overview

N-iX

N-iX is a software engineering services company founded in 2002, with headquarters reported as Lviv, Ukraine (also listing a Valletta, Malta corporate address), and more than 2,400 professionals across Europe, the Americas, and APAC. It delivers cloud, data analytics, embedded software, IoT, and AI/ML solutions at scale, with agentic AI positioned as an extension of its existing AI and machine learning practice rather than a standalone specialty. Its large, multi-service scale is an asset for enterprise programs but means agent work competes internally with many other active service lines for senior attention.

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: N-iX vs LeewayHertz

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

Tech stack comparison: N-iX vs LeewayHertz

Framework / platform N-iX 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

Pricing comparison: N-iX vs LeewayHertz

Criterion N-iX LeewayHertz
Minimum engagement Not published $25K (per company website; independently unverifiable)
Engagement models Dedicated team, Staff augmentation Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: N-iX vs LeewayHertz

Dimension N-iX LeewayHertz
Best company size Startup to mid-market Startup to mid-market
Best industries Financial Services, Manufacturing, Retail & E-commerce Financial Services, Manufacturing, Retail & E-commerce
Best use cases Large enterprise programs combining cloud modernization, data platforms, and agentic AI, Multi-country delivery requiring a large available engineering bench Multi-agent architecture design for data-rich enterprise environments, Agents requiring deep ERP or CRM integration (e.g. Salesforce, SAP)
Typical project type Dedicated team Fixed project

N-iX vs LeewayHertz: pros and cons

N-iX
+ 2,400+ professionals gives substantial bench depth across Europe, the Americas, and APAC
+ Two decades of engineering services history (founded 2002) across multiple technology domains
+ Existing AI/ML practice gives agentic work a broader data-science foundation to draw on
+ Scale suits multi-country, multi-team enterprise programs that smaller boutiques can't staff
- Agentic AI is one of many active service lines rather than the firm's core specialty
- Headquarters location reported inconsistently across sources (Lviv vs. a Malta corporate address)
- Large-organization scale can mean less senior-engineer access than boutique competitors
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 N-iX?

N-iX is the right choice for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..

Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS.

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: N-iX vs LeewayHertz

Your situation Recommended choice
You need full-ownership delivery on a defined project scope LeewayHertz
You need a large dedicated team for an ongoing programme N-iX
Your budget is at the lower end Compare: N-iX (Not published) vs LeewayHertz ($25K (per company website; independently unverifiable))
You need specialist depth in a specific vertical N-iX
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: N-iX vs LeewayHertz

Use case N-iX fit LeewayHertz fit Winner
Large enterprise programs combining cloud modernization, data platforms, and agentic AI Strong Limited N-iX
Multi-country delivery requiring a large available engineering bench Strong Limited N-iX
Multi-agent architecture design for data-rich enterprise environments Limited Strong LeewayHertz
Agents requiring deep ERP or CRM integration (e.g. Salesforce, SAP) Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: N-iX vs LeewayHertz

N-iX (3.9/5) is the stronger overall choice for most AI Agent Development projects. Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top.. It is best for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..

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

N-iX vs LeewayHertz FAQ

Is N-iX better than LeewayHertz?

N-iX (3.9/5) scores higher overall, but "better" depends on your use case. N-iX is better for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. 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 N-iX and LeewayHertz differ in pricing?

N-iX uses dedicated team, staff augmentation pricing with a minimum engagement of Not published. 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: N-iX or LeewayHertz?

N-iX 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 N-iX and LeewayHertz?

N-iX's primary differentiator is: scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with ai/agent work layered on top.. 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 (1,001–5,000 vs 51–300), minimum engagement (Not published vs $25K (per company website; independently unverifiable)), and primary industries served (Financial Services, Manufacturing vs Financial Services, Manufacturing).

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