Intuz
Production AI agents on LangGraph, CrewAI, and AutoGen
Founded 2008 | San Francisco, USA | 51-200 employees | Last updated: August 2026
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 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 orchestration | Available for Healthcare, E-commerce, Logistics clients |
| Healthcare/logistics agent deployment | Available for Healthcare, E-commerce, Logistics clients |
| E-commerce workflow agents | 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, not just pilot case studies.
| Use case | Industries | Approach |
|---|---|---|
| Production multi-agent orchestration | Healthcare, E-commerce | LangGraph, CrewAI |
| Healthcare/logistics agent deployment | Healthcare, E-commerce | LangGraph, CrewAI |
| E-commerce workflow agents | 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 developers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Turing | Engineering-heavy teams needing elite technical talent for reasoning-heavy... | Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench | 4.6 | Full comparison |
| Spiral Scout | CTOs who want to evaluate a vendor's own... | Built and maintains its own agent orchestration runtime (Wippy.ai), plus certified Temporal Solution Provider status | 4.5 | Full comparison |
| Tensorway | Teams that need a senior, agent-specialist team without... | 100% of delivery staff are senior AI engineers — no junior bench, no agent-to-generalist handoff | 4.3 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting a boutique team... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size | 4.2 | 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 | 4.1 | Full comparison |
| SoftServe | Enterprises wanting a three-decade engineering firm with deep... | 30+ years of engineering discipline applied to a documented spec-driven approach for agentic workflows | 4.1 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year AI agent engineering programs... | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 4.0 | Full comparison |
| Waverley Software | Technical buyers in FinTech, Healthcare, or Robotics wanting... | 30+ years of engineering history explicitly repositioned as AI-first, with deep vertical domain experience (Robotics, Energy, FinTech) | 4.0 | Full comparison |
| Andersen | Enterprises wanting a single vendor with true multi-vertical... | 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop | 3.9 | Full comparison |
| Ascendion | Global 2000 buyers wanting an AI-native engineering firm... | Built from inception (2022) around AI-powered engineering rather than retrofitting AI onto a legacy delivery model | 3.9 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent features embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.9 | Full comparison |
| Innowise | Buyers wanting large-scale offshore delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.8 | Full comparison |
| Ideas2IT | Engineering-heavy buyers interested in AI-augmented software delivery, not... | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.8 | Full comparison |
| Trantor | Enterprises wanting a dedicated, captive engineering center rather... | CaptiveCoE™ model gives clients a dedicated center of excellence rather than a shared delivery pool | 3.8 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied agent-building capability | 3.7 | Full comparison |
| Kanerika | Data-heavy enterprises wanting agents tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos | 3.7 | Full comparison |
| Quytech | Buyers wanting agentic AI paired with computer vision... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.7 | Full comparison |
| Matellio | Enterprises wanting AI agents built alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.7 | Full comparison |
| Sombra | Buyers wanting a mid-size dedicated-team partner with a... | Founder-led (Viktor Chekh) firm with over a decade of full-cycle engineering ahead of its AI/ML expansion | 3.7 | 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 |
| Instinctools | Enterprises wanting a long-tenured European engineering partner for... | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.6 | Full comparison |
| Miquido | Product-focused technical teams wanting an analyst-recognized AI engineering... | Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed | 3.6 | Full comparison |
| EffectiveSoft | Buyers wanting established Eastern European engineering depth under... | 25 years of software delivery history with dedicated Eastern European development centers | 3.5 | Full comparison |
| Azumo | Buyers wanting nearshore delivery cost savings without giving... | Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth) | 3.5 | Full comparison |
| DevSquad | Early-to-growth-stage product teams wanting agent development paired with... | Combines product-market-fit strategy work with AI agent development, useful for teams still validating their product | 3.5 | Full comparison |
| Cogniteq | EU-based buyers wanting a Baltic-region engineering partner with... | 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs | 3.5 | Full comparison |
| Deviniti | Teams already on Atlassian tooling wanting AI agents... | Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience | 3.4 | Full comparison |
| DevCom | Buyers wanting a single US-HQ vendor to own... | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.4 | Full comparison |
| Softermii | Startups wanting a US-facing account team backed by... | Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence | 3.4 | Full comparison |
| Codebridge Technology | Cost-sensitive buyers wanting a Delaware-incorporated vendor with Ukrainian... | US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity | 3.4 | 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 | 3.3 | Full comparison |
| Riseup Labs | Highly cost-sensitive buyers who need ISO-certified process rigor... | ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base | 3.3 | 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 designs, builds, 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, not just pilot case studies. 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:
- Turing: deep agi-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench
- Spiral Scout: built and maintains its own agent orchestration runtime (wippy.ai), plus certified temporal solution provider status
- Tensorway: 100% of delivery staff are senior ai engineers — no junior bench, no agent-to-generalist handoff
Compare Intuz with other AI Agent developers
Intuz vs Turing Intuz vs Spiral Scout Intuz vs Tensorway Intuz vs Vstorm Intuz vs Grid Dynamics Intuz vs SoftServe Intuz vs N-iX Intuz vs Waverley Software Intuz vs Andersen Intuz vs Ascendion Intuz vs GeekyAnts Intuz vs Innowise Intuz vs Ideas2IT Intuz vs Trantor Intuz vs Netguru Intuz vs Kanerika Intuz vs Quytech Intuz vs Matellio Intuz vs Sombra Intuz vs Azilen Technologies Intuz vs Instinctools Intuz vs Miquido Intuz vs EffectiveSoft Intuz vs Azumo Intuz vs DevSquad Intuz vs Cogniteq Intuz vs Deviniti Intuz vs DevCom Intuz vs Softermii Intuz vs Codebridge Technology Intuz vs Uvik Software Intuz vs Riseup Labs
Last reviewed: August 2026. Verify all details directly with Intuz before making a decision.