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About Armeta.

Company
Armeta builds AI systems for construction and heavy industries, helping projects move faster from planning to execution. Our platform understands engineering content—including drawings, standards, catalogs, and specifications—and performs the work associated with it: checking, structuring, searching, and generating outputs.
About

Built by engineers who know the work.

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

Team

Founders and leadership.

Sanzhar Rakhmetzhanov

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.

Temirlan Rakhmetzhanov

Temirlan Rakhmetzhanov

Co-Founder & CEO

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

Nuraly Baktygaliyev

Nuraly Baktygaliyev

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.

Ravi Belani

Ravi Belani

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.

Daniel Jacker

Daniel Jacker

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.

Derek Toffer

Derek Toffer

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

World-Class R&D.

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.

Technology

Engineering intelligence, built as a system.

01

Purpose-built intelligence

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.

02

Multi-stage architecture

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.

03

Engineer review

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.

04

Enterprise deployment

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.

Contact

Talk to Armeta.

See the platform in action or talk to the team about your engineering workflow.

Headquarters

San Francisco

Research & Development

Astana

Middle East hub

Doha