Tezo is a 201–500 person consulting firm founded in 2023, positioned as a services delivery partner for enterprise AI adoption and legacy modernization. The stack reveals a hybrid play: deep Microsoft integration (Dynamics 365, Power Platform, .NET, C#) paired with AI/ML infrastructure (LangChain, RAG, TensorFlow, PyTorch, AWS/Azure/GCP). Active projects cluster around agentic AI and insurance-specific use cases (policy binding, fraud detection, claims automation), signaling vertical specialization rather than horizontal platform play. Hiring velocity is accelerating with a senior-heavy mix (principal and senior roles dominating), which matches the shift from project services toward outcome-based delivery models — a transition their pain-point list explicitly names as a challenge.
Notable leadership hires: Sales Director
Tezo provides AI-augmented digital transformation services for mid-market and enterprise clients across finance, healthcare, public sector, and manufacturing. The firm bundles three service lines: generative and agentic AI systems (copilots, workflow automation, intelligent process engines), modern data platforms (data mesh, real-time analytics, governed pipelines), and cloud-native application modernization (low-code/no-code development via Mendix, Appian, Power Platform; legacy system refactoring; DevSecOps). Clients engage Tezo to simplify legacy system complexity, accelerate cloud adoption, and inject AI into core processes. The company operates from Plano, Texas, with hiring concentrated in India, and is moving toward outcome-focused delivery models with reusable intellectual property and accelerator-driven engagement pods.
Tezo builds on Microsoft (.NET, C#, Power Platform, Dynamics 365, SQL Server), cloud providers (AWS, Azure, GCP), and AI/ML libraries (Python, LangChain, RAG, TensorFlow, PyTorch, scikit-learn). CRM and sales tools include Salesforce, HubSpot, and ZoomInfo.
Active projects include RAG systems for insurance, agentic AI workflows for policy binding, fraud detection models, and cross-functional pod assembly. Pain points center on aligning delivery with business outcomes, claims automation, and US market revenue expansion.
Tezo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.