
Sanzhar Rakhmetzhanov
Co-Founder & Chairman of the Board
25+ years in the industrial space with six successful exits, including building an engineering business with $200M in annual revenue. Studied at MIT and Stanford.
The company was founded in 2025 by engineers with decades of experience delivering major industrial projects. Today, Armeta has a team of around fifty people across the United States, Kazakhstan, and Qatar.
We work with industrial companies, contractors, engineering and design firms, government bodies, and regulators.
2025
Founded
50+
Team members
3
Countries

Co-Founder & Chairman of the Board
25+ years in the industrial space with six successful exits, including building an engineering business with $200M in annual revenue. Studied at MIT and Stanford.

Co-Founder & CEO
5+ years operating inside an international group of engineering companies, with hands-on exposure to industrial project execution and plant operations.

Co-Founder & CTO
First-class honours in Computer Science from the University of the West of England. Former Lead Software Engineer at an international industrial engineering company.

Investor & Board Observer
Founder and CEO of Alchemist Accelerator. Lecturer and Board Advisor at Stanford Engineering. Early-stage investor in Twitch, Rigetti, LaunchDarkly, PubMatic, Onebrief, MoEngage, and many more.

Investor & Partner
Co-Founder of ZaiNar, a physical AI unicorn that shares a board member with SpaceX and is backed by technology leaders, including the co-founders of Yahoo and Siri, a founding engineer at Skype, and Amazon’s Chief Scientist.

Investor & Partner
Former Fluor Corporation executive and CEO of Fluor Kazakhstan, now serving as Vice President at Anvil Corporation and bringing decades of industry experience and domain expertise.
Research & Development
ICPC finalists, IMO winners, and PhD researchers building production-grade systems. We are a team of more than 50 people united by a shared vision.
Armeta transforms complex engineering information into structured intelligence. Unlike generic AI tools or prompt-based wrappers, our platform combines proprietary machine learning models, computer vision, document intelligence, spatial reasoning, and domain-specific validation logic within a unified production system.
Our multi-stage AI architecture processes diverse technical inputs, extracts critical information, identifies relationships across engineering data, and converts unstructured content into reliable, actionable outputs. Specialized models, classical computational methods, vision-language reasoning, and engineering rules work together to understand both individual data points and their broader technical context.
Every AI-generated result is delivered through a purpose-built review environment where engineers can inspect, correct, compare, and approve the output. These interactions are captured as structured feedback, continuously improving the system and building organization-specific intelligence over time.
The platform is designed for enterprise and government environments. It can operate as a scalable cloud-native SaaS platform or be deployed fully on-premises and air-gapped, allowing sensitive engineering data to remain entirely within the customer’s infrastructure.
See the platform in action or talk to the team about your engineering workflow.
Headquarters
Research & Development
Middle East hub