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 designs, builds, and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
Intuz 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 |
|---|
| Agent Orchestration |
| Workflow Integration |
| Enterprise Automation |
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 Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Senior-only agent specialists, no generalist overhead. | A senior-only delivery model — every engagement is staffed by engineers who work agent systems full-time, with no junior bench standing in the gap. | 4.8 | Full comparison |
| Spiral Scout | Embedding agents into existing production systems. | Certified Temporal Solution Provider with a proprietary agent runtime (Wippy.ai) | 4.6 | Full comparison |
| Vstorm | Mid-market/enterprise buyers, boutique team, named references. | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size | 4.5 | Full comparison |
| Stride Consulting | Regulated industries, compliance-aware agent deployments. | Explicit focus on agentic AI for regulated/compliance-heavy environments | 4.4 | Full comparison |
| Tribe AI | Enterprises wanting a curated specialist-engineer network. | Platform-plus-network delivery model sourcing specialists per project rather than a static bench | 4.4 | Full comparison |
| Neurons Lab | Enterprises needing AI discovery and strategy first. | Full-lifecycle model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| RTS Labs | Enterprises stuck at pilot stage, need production ROI. | Explicit pilot-to-production focus with named architecture/guardrails methodology | 4.2 | Full comparison |
| Grid Dynamics | Large enterprises, public-company scale and compliance. | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 4.1 | Full comparison |
| GeekyAnts | Product teams embedding AI-agent features into software builds. | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 4.1 | Full comparison |
| Kanerika | Data-heavy enterprises, agents tied into BI pipelines. | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos | 4.0 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year agent programs. | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 4.0 | Full comparison |
| Innowise | Large-scale offshore delivery, dedicated AI agent unit. | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.9 | Full comparison |
| Ideas2IT | Engineering-heavy buyers, AI-augmented software delivery. | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.9 | Full comparison |
| Netguru | Digital product companies, proven internal-agent case study. | Publicly documented internal production agent (Omega) as proof of applied agent-building capability | 3.9 | Full comparison |
| Markovate | Startups/mid-market, generative AI bundled with product dev. | Leadership with direct enterprise AI experience (AT&T, IBM) applied to a boutique-scale delivery team | 3.8 | Full comparison |
| Azilen Technologies | FinTech, HRTech, manufacturing — vertical AI agent experience. | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.8 | Full comparison |
| Quytech | Agentic AI plus computer vision or mobile/AR, one... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.8 | Full comparison |
| Master of Code Global | Brands wanting conversational AI, named consumer-brand references. | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.8 | Full comparison |
| Matellio | Enterprises, AI agents within software modernization. | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting a genuine AI-first practice. | Documented evolution from web development to AI-first agentic delivery, with MLOps as a distinct capability | 3.7 | Full comparison |
| LeewayHertz | Buyers wanting a Hackett Group-backed AI vendor. | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.7 | Full comparison |
| Instinctools | Enterprises wanting a long-tenured European AI staffing partner. | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.6 | Full comparison |
| EffectiveSoft | Eastern European engineering depth, US corporate umbrella. | 25 years of software delivery history with dedicated Eastern European development centers | 3.6 | Full comparison |
| Azumo | Nearshore cost savings with US-based account management. | Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth) | 3.6 | Full comparison |
| Cogniteq | EU buyers wanting a long-tenured Baltic engineering partner. | 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs | 3.6 | Full comparison |
| Deviniti | Atlassian-tooling teams wanting agents in that ecosystem. | Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience | 3.5 | Full comparison |
| DevCom | Buyers wanting one US vendor for strategy through... | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.5 | Full comparison |
| Softermii | Startups wanting US account team, Eastern European R&D. | Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence | 3.5 | Full comparison |
| Codebridge Technology | Cost-sensitive buyers, Delaware entity, Ukrainian delivery. | US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity | 3.5 | Full comparison |
| Uvik Software | Startups needing one or two senior Python/AI engineers. | Narrow staff-augmentation model of individual senior Python/AI/ML specialists at low minimum spend | 3.4 | Full comparison |
| Riseup Labs | Cost-sensitive buyers wanting ISO-certified rigor, South Asian rates. | ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base | 3.4 | Full comparison |
Intuz FAQ
What is Intuz?
Production AI agents on LangGraph, CrewAI, and AutoGen
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 proven live production agent deployments. 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: a senior-only delivery model — every engagement is staffed by engineers who work agent systems full-time, with no junior bench standing in the gap.
- Spiral Scout: certified temporal solution provider with a proprietary agent runtime (wippy.ai)
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small team size
Compare Intuz with other AI Agent Development companies
Intuz vs Tensorway Intuz vs Spiral Scout Intuz vs Vstorm Intuz vs Stride Consulting Intuz vs Tribe AI Intuz vs Neurons Lab Intuz vs RTS Labs Intuz vs Grid Dynamics Intuz vs GeekyAnts Intuz vs Kanerika Intuz vs N-iX Intuz vs Innowise Intuz vs Ideas2IT Intuz vs Netguru Intuz vs Markovate Intuz vs Azilen Technologies Intuz vs Quytech Intuz vs Master of Code Global Intuz vs Matellio Intuz vs Signity Solutions Intuz vs LeewayHertz Intuz vs Instinctools Intuz vs EffectiveSoft Intuz vs Azumo Intuz vs Cogniteq Intuz vs Deviniti Intuz vs DevCom Intuz vs Softermii Intuz vs Codebridge Technology Intuz vs Uvik Software Intuz vs Riseup Labs