Kodexolabs

Mission and vision

Kodexo Labs aims to build smart, easy-to-use AI tools that help businesses grow and improve. Its vision is to make AI accessible and valuable worldwide while helping businesses become smarter and more connected.

The company emphasizes lasting client relationships, simple and effective solutions, honest scoping, direct communication, and working software over presentations.

Company facts

• 51 AI-powered products shipped to live production
• Solutions delivered across more than 25 industries
• More than 60 team members across six offices in three countries
• 94% client retention rate
• More than $1 million in documented annual client savings
• Top-rated on Clutch and recognised as a Clutch Elite AI Firm
• 4.9/5 rating on Clutch based on verified reviews

AI services

• Agentic AI development, including multi-agent systems, AI agent teams, tool development, context engineering, long-term memory systems, RAG, MCP, AI strategy, and proof-of-concept development
• AI framework and platform integration using technologies such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, vector databases, and orchestration layers
• Applied AI, including chatbots, voice agents, computer vision, generative AI, machine learning, natural language processing, predictive analytics, and AI-powered mobile applications
• AI security, governance, compliance, risk assessment, security architecture, data privacy engineering, and enterprise compliance

Software, infrastructure, and delivery services

• Custom software development for web applications, SaaS platforms, MVPs, APIs, and UI/UX
• Mobile app development for native iOS and Android, React Native, and Flutter
• Cloud and AI infrastructure, including cloud architecture, AI infrastructure, self-hosted deployment, edge AI, and MLOps
• Intelligent automation, including business process automation, workflow automation, system integration, data pipelines, and legacy modernization
• IT staff augmentation with AI/ML, Python, full-stack, MLOps, DevOps, and mobile engineers

Industry experience

Kodexo Labs lists healthcare and medtech, legal and legaltech, logistics and warehousing, automotive and fleet, e-commerce and retail, BPO and contact centers, edtech and learning, and real estate and proptech among its focus areas.

• Project-based development: A dedicated AI team manages planning, design, development, QA, and deployment end to end.
• Team-based development: A specialized AI team extends an organization's existing team and works against its roadmap.
• Staff augmentation: AI engineers integrate with an existing team to expand capacity, close skill gaps, and accelerate delivery.

The website lists AI development pricing of $50–$99 per hour, with no retainers or lock-in. Discovery sprints start at $25,000. The company also states that staff augmentation specialists can be deployed in 10 business days.

Offices

Kodexo Labs lists offices in six locations:

• Austin, Texas: 316 W 12th St, 4th Floor, Austin, TX 7870; +1-219-766-5259
• New York, New York: 211 E 43rd St, 7th Flr #580, New York, NY 10017; +1-512-883-0081
• San Francisco, California: 535 Mission St, 14th Floor, San Francisco, CA 94105; +1-415-498-1329
• Chicago, Illinois: 110 N Wacker Dr, 25th Floor, Suite 2500, Chicago, IL 60606; +1-773-974-8492
• London, United Kingdom: 30 Churchill Place, London E14 5RE; +44-788-606-9953
• Karachi, Sindh, Pakistan: B-145, Block 5 Gulshan-e-Iqbal, Karachi City, Sindh 75300; 021-36720047

1. Discovery and strategy: The team prioritizes AI opportunities, assesses ROI, audits data and operations, and creates an implementation or production-readiness roadmap.
2. Design and prototyping: The team produces clickable prototypes, architecture diagrams, agent flows, and retrieval scopes. Framework and usability decisions are validated before full development.
3. Development and integration: Working features are developed in a staging environment, integrated with relevant systems, and reviewed through sprint demos. Agentic systems may connect to CRM, ERP, data warehouses, and internal APIs.
4. Deployment and launch: Production deployment includes monitoring dashboards, analytics, audit logs, and documented handover or incident procedures.
5. Support and optimization: Ongoing work can include performance monitoring, model updates, retraining on fresh data, and continuous system or agent-quality improvement.

For agentic AI engagements, the website states that discovery typically runs two to four weeks, development and integration six to ten weeks, and launch two to three weeks. The company also describes some products reaching production in 8–12 weeks.

• SOC 2
• GDPR
• CCPA
• ISO 27001
• PCI
• FERPA
• NIST
• HIPAA
• AML/KYC postures
• Azure and Google Cloud environments

Data and infrastructure controls

Kodexo Labs offers self-hosted AI deployment and describes deployments on AWS VPC, Azure, Google Cloud, and on-premises clusters. Its agentic AI practice includes data privacy, ePHI-safe RAG, data residency, security and risk management, AI-specific compliance, and industry-specific standards.

The company states that self-hosted deployments can keep client data inside the client's infrastructure and that client data does not train a shared model or touch a vendor SaaS environment.

Healthcare example

SmartMedHx is described as a HIPAA-compliant clinical documentation and intake system built by Kodexo Labs. It serves 42 providers and includes patient interview capture and automated clinical note creation.