Intuz
AI Agents Automation
Intuz delivers custom AI agents, generative AI applications, and full-stack software for enterprises and Fortune 500 teams across healthcare, retail, and logistics.
About
Intuz designs, builds, and operates AI-first systems for startups, SMBs, and Fortune 500 teams — covering the full journey from strategy and proof-of-concept through to production deployment. Founded in 2008 and headquartered in San Francisco, they have delivered 1,500+ projects over 16+ years, with a team of 50–249 engineers and a client roster spanning more than 14 industries including healthcare, automotive, manufacturing, and e-commerce.
Their AI practice centers on agentic systems, generative AI applications, ML pipelines, and MLOps — built on a stack that includes Python, PyTorch, OpenAI, AWS Bedrock, and Databricks. Beyond AI, they deliver custom software, IoT, and cloud-native systems, positioning themselves as a single partner for complex, multi-discipline builds. Clients like CasePath, a child welfare case management platform, reported 90% time savings on documentation after Intuz built their AI summarization and scheduling tools. A home health agency credits Intuz-built fax automation with saving $250,000 per year.
What They Do
AI Transformation & Agentic Systems
AI-powered agents for back-office automation: voice AI receptionists, fax reader agents, document summarization
Generative AI applications and custom ML model development
Proof-of-concept builds to validate AI use cases before full deployment
MLOps strategy, pipeline deployment, and Databricks engineering
Custom Software & SaaS Development
Mobile apps (iOS and Android), progressive web apps, and enterprise platforms
Microservices architecture and API development
AI-enabled SaaS platforms like CasePath, built for HIPAA-compliant multi-tenant environments
IoT & Cloud
Hardware integration, embedded systems, firmware, and real-time analytics
Cloud-native delivery on AWS, Azure, and GCP with CI/CD and cost optimization
Big data pipeline architecture and infrastructure management
Tech stack used in client projects: Python, PyTorch, OpenCV, AWS Bedrock, Amazon Textract, FastAPI, Databricks, OpenAI API, ReactJS, Flutter, NodeJS
Services & Tech Stack
Services
- Custom AI App Building
- Autonomous AI Agents
- AI Workflow Automation
- AI MVP Development
- AI Powered SaaS Development
Tech Stack
- OpenAI API
- AWS Bedrock
- LangChain
- Hugging Face Transformers
- Pinecone
- Weights & Biases
Is This a Fit?
Founders and Digital Transformation leads at startups, SMBs, and mid-market companies who need a single partner to design and ship AI-native SaaS platforms, autonomous agents, or complex multi-discipline systems involving AI, mobile, IoT, and cloud.
Companies looking for pure AI strategy consulting with no build component, or organizations requiring dedicated on-site US-based teams at all times due to time zone or security constraints.
Ideal Client
Founder or CTO at a healthcare, retail, or logistics company seeking to automate back-office workflows or launch an AI-powered SaaS product, with a defined scope and budget starting around $10,000.
Track Record
Founded in 2008, Intuz has delivered 1,500+ projects across 14+ industries with a team of 50–249 engineers. The firm holds 52 verified Clutch reviews with a 4.8 overall rating and is an AWS Consulting Partner.
Common Outcomes
- 90% reduction in documentation time for caseworkers using AI summarization (CasePath)
- $250,000 per year saved by automating fax handling for a home health agency (Careonix)
- 30% reduction in cloud infrastructure costs for an IoT software company
- 83% faster case decisions through AI-powered dashboards and global search
Notable Clients
Use Cases
Case Studies
CasePath AI-Enabled SaaS Platform for Case Management
HealthcareChallenge
Child welfare and family service agencies needed to replace paperwork and manual processes with automated, contract-ready case management tools.
Solution
Built a HIPAA-compliant microservices platform with AI summarization, automated scheduling, mobile app with hands-free note-taking, and contract-based invoicing and compliance reporting.
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Careonix AI-Powered Home Health Operation Automation
HealthcareChallenge
A home health agency relied on manual fax handling and slow EMR data entry, requiring five staff members to manage fax operations alone.
Solution
Built AI agents including a voice AI receptionist, a fax reader agent using AWS Bedrock and Textract, and back-office automation tools running on PyTorch, pandas, and FastAPI.
French Florist AI-Powered Ecommerce Solution
RetailChallenge
A florist e-commerce brand needed in-store operations management and AI-based inventory management to modernize its storefront.
Solution
Built a personalized, AI-driven ecommerce platform with machine learning-powered inventory management and an advanced storefront.
At a Glance
Location
San Francisco, United States
Founded
2008
Team Size
51 – 200Typical Budget
$10,000–$199,999
Timeline
3–8 months for full platform builds; shorter for PoC or scoped automation projects
Delivery
RemoteHybridEngagement
Project BasedRetainerPricing
$25 - $49Client Tier
StartupEnterpriseRegions Served
Northern AmericaAustralia and New ZealandWestern AsiaSouthern AsiaNorthern EuropeLanguages
EnglishCertifications
AWS Consulting Partner
Focus Areas
Industries
Specialties
Verticals
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| Signal | |||
|---|---|---|---|
| Category | AI Agents Automation | AI Agents Automation | AI Agents Automation |
| Location | San Francisco, United States | New York, United States | Wroclaw, Poland |
| Team Size | Not listed | Not listed | Not listed |
| Client Tier | Startup | Startup | SMB |
| Delivery Model | Remote | Remote | Remote |
| Typical Budget | $10,000 – $199,999 | $5,000 - $50,000 / month | $10,000 – $199,999 |
| Services | Custom AI App BuildingAutonomous AI AgentsAI Workflow Automation+2 | Autonomous AI AgentsBusiness Process AutomationHuman In The Loop Workflows+1 | Autonomous AI AgentsMulti Agent OrchestrationRAG Pipeline Development+2 |
| Tech Stack | OpenAI APIAWS BedrockLangChain+3 | Not listed | LangChainLlamaIndexPydanticAI+5 |