Intuz
Production AI agents on LangGraph, CrewAI, and AutoGen
Founded 2008 | San Francisco, USA | 51-200 employees
agent-orchestrationworkflow-integrationenterprise-automation
What is Intuz?
Intuz was founded in 2008 and is a US-headquartered company with offices in San Francisco and San Ramon, California, plus an engineering center in Ahmedabad, India, and 51-200 employees. The firm advises on and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
Intuz was founded in 2008 and is headquartered in San Francisco, USA. The firm employs 51-200 people and works primarily with clients in Healthcare, E-commerce, Logistics sectors. Its primary differentiator is: Reports 100+ enterprise agent deployments already in production across three named framework stacks.
Intuz tech stack and services
LangGraphCrewAIAutoGenAWS
| Service area | Details |
|---|---|
| Production multi-agent advisory | Available for Healthcare, E-commerce, Logistics clients |
| Healthcare/logistics agent strategy | Available for Healthcare, E-commerce, Logistics clients |
| E-commerce workflow agent advisory | Available for Healthcare, E-commerce, Logistics clients |
Intuz use cases
Short answer: Intuz is best suited for buyers wanting a documented count of live production agent deployments backing the advisory.
| Use case | Industries | Approach |
|---|---|---|
| Production multi-agent advisory | Healthcare, E-commerce | LangGraph, CrewAI |
| Healthcare/logistics agent strategy | Healthcare, E-commerce | LangGraph, CrewAI |
| E-commerce workflow agent advisory | Healthcare, E-commerce | LangGraph, CrewAI |
Intuz pricing
Short answer: Intuz uses a dedicated team, fixed project pricing approach. Minimum engagement starts at $20K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From $20K | Well-defined scope |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
Intuz does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Intuz pros and cons
| Advantages | Things to consider |
|---|---|
| +Reports a specific, high production-deployment count (100+) rather than vague claims | -Deployment-count figures are self-reported (per company website; independently unverifiable) |
| +US HQ with an India engineering center balances access and delivery cost | -Mid-size team (51-200) may face capacity limits on very large multi-region programs |
| +Multi-framework fluency (LangGraph, CrewAI, AutoGen) avoids lock-in to one stack |
Intuz vs alternatives
How Intuz compares to the other top AI Agent consultancies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams that need senior, agent-specialist advisory without big-consultancy... | 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff | 4.8 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting boutique advisory with... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small advisory team | 4.5 | Full comparison |
| West Monroe | Enterprises wanting a proven business-and-technology consultancy with a... | Publicly launched its own agent product (WestMonroe.ai) as proof of applied capability, not just advisory slides | 4.4 | Full comparison |
| Neurons Lab | Enterprises that need AI opportunity discovery and advisory... | Full-lifecycle advisory model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| Stride Consulting | Regulated-industry buyers (finance, healthcare, insurance) needing compliance-aware agent... | Explicit advisory focus on agentic AI for regulated/compliance-heavy environments | 4.2 | Full comparison |
| Tribe AI | Enterprises wanting access to a curated network of... | Platform-plus-network advisory model sourcing specialists per engagement rather than a static bench | 4.2 | Full comparison |
| RTS Labs | Enterprises stuck at the AI pilot stage that... | Explicit pilot-to-production advisory focus with named architecture/guardrails methodology | 4.1 | Full comparison |
| Thoughtworks | Large enterprises needing agent governance advisory across multi-cloud... | Named agent governance product (Agent/works) purpose-built to run and oversee enterprise AI agents | 4.0 | Full comparison |
| Rearc | Enterprises wanting an engineering-first advisory partner over a... | Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off | 4.0 | Full comparison |
| Hakkoda | Buyers wanting IBM-backed stability for data-and-AI advisory work... | IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio | 3.9 | Full comparison |
| Xebia | Enterprises wanting AI advisory paired with a dedicated... | Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery | 3.9 | Full comparison |
| Blue Orange Digital | Data-heavy buyers wanting an AI advisory boutique with... | Backed by Oliver Wyman, a top-tier management consultancy, giving strategic advisory credibility beyond a typical AI boutique | 3.8 | Full comparison |
| Kanerika | Data-heavy enterprises wanting advisory tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic advisory decks | 3.8 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 3.8 | Full comparison |
| Data Reply | Buyers wanting a specialized data-AI advisory division backed... | Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division | 3.7 | Full comparison |
| Slalom | Enterprises wanting a large, geographically diverse consultancy with... | Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting full AI-first advisory, not just... | Documented evolution from web development to AI-first agentic advisory, with MLOps as a distinct capability | 3.6 | Full comparison |
| LeewayHertz | Buyers who want the stability of a Hackett... | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.6 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI agent advisory alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.5 | Full comparison |
| Quytech | Buyers wanting agentic AI advisory paired with computer... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.5 | Full comparison |
| Master of Code Global | Brands wanting conversational AI agent advisory with named... | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.5 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent advisory embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.5 | Full comparison |
| Innowise | Buyers wanting large-scale offshore advisory-plus-delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.4 | Full comparison |
| Publicis Sapient | Global enterprises needing a top-tier advisory brand with... | Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation | 3.4 | Full comparison |
| Persistent Systems | Enterprises wanting a publicly traded, audited advisory partner... | Publicly traded (BSE/NSE) with 24,000+ employees and 35 years of digital engineering history | 3.4 | Full comparison |
| EPAM Systems | Global enterprises wanting the largest publicly traded engineering-consultancy... | Gartner-recognized GenAI consulting leader with 64,000+ employees, the largest single firm in this roster | 3.3 | Full comparison |
| Endava | Enterprises wanting a publicly traded UK-headquartered technology consultancy... | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers | 3.3 | Full comparison |
| Zensar Technologies | Enterprises wanting a large, governance-focused agentic AI platform... | Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus | 3.3 | Full comparison |
| Version 1 | Enterprises wanting an Ireland/UK-anchored management consultancy for AI... | Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies | 3.2 | Full comparison |
Intuz FAQ
What is Intuz?
Intuz was founded in 2008 and is a US-headquartered company with offices in San Francisco and San Ramon, California, plus an engineering center in Ahmedabad, India, and 51-200 employees. The firm advises on and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
How much does Intuz charge?
Intuz uses dedicated team, fixed project pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.
What tech stack does Intuz use?
Intuz works with LangGraph, CrewAI, AutoGen, AWS. Primary industries served include Healthcare, E-commerce, Logistics.
Is Intuz right for enterprise?
Buyers wanting a documented count of live production agent deployments backing the advisory. 51-200 team size. Key consideration: Deployment-count figures are self-reported (per company website; independently unverifiable).
What are the best Intuz alternatives?
The best alternatives to Intuz depend on your use case. Top options are:
- Tensorway: 100% of advisory and delivery staff are senior ai engineers — no junior bench, no strategy-to-build handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small advisory team
- West Monroe: publicly launched its own agent product (westmonroe.ai) as proof of applied capability, not just advisory slides
Compare Intuz with other AI Agent consultancies
Intuz vs Tensorway Intuz vs Vstorm Intuz vs West Monroe Intuz vs Neurons Lab Intuz vs Stride Consulting Intuz vs Tribe AI Intuz vs RTS Labs Intuz vs Thoughtworks Intuz vs Rearc Intuz vs Hakkoda Intuz vs Xebia Intuz vs Blue Orange Digital Intuz vs Kanerika Intuz vs Grid Dynamics Intuz vs Data Reply Intuz vs Slalom Intuz vs Signity Solutions Intuz vs LeewayHertz Intuz vs Netguru Intuz vs Azilen Technologies Intuz vs Matellio Intuz vs Quytech Intuz vs Master of Code Global Intuz vs GeekyAnts Intuz vs Innowise Intuz vs Publicis Sapient Intuz vs Persistent Systems Intuz vs EPAM Systems Intuz vs Endava Intuz vs Zensar Technologies Intuz vs Version 1