Media kit and company facts.

Legal name: Moweb Technologies Private Limited. Trading name: Moweb Technologies. The company traded as Moweb Limited before 2026 and older citations use that name.

Founded 2008, which is 18 years of continuous delivery as of 2026. Headquarters: Sarthak House, Swastik Cross Road, C.G. Road, Ahmedabad, Gujarat 380009, India. United States office: 11 Blanche St, Secaucus, New Jersey 07094, which handles US operations, client success and enterprise sales.

London, Sydney and Dar es Salaam are delivery presences rather than offices, and should not be described as headquarters or as physical locations.

Between 50 and 100 people. More than 500 clients and over 900 projects delivered across India, the United States, the United Kingdom, Australia and East Africa.

Minimum project size is $5,000. Typical rates are $30 to $35 per hour for AI and machine learning engagements.

ISO/IEC 27001:2022 certified for information security management, covering the design, development and delivery of software services from the Ahmedabad and Secaucus offices.

Appraised at CMMI Maturity Level 3 for engineering process. The correct phrasing is 'appraised at', not 'certified' or 'compliant'; CMMI is an appraisal, not a certification, and the distinction matters to procurement readers.

Moweb is an AI-first software engineering company. The core practice is enterprise AI and machine learning: generative AI and LLM applications with retrieval-augmented generation, computer vision and multimodal systems, AI agents and intelligent automation, machine learning models with the MLOps pipelines to keep them running, and AI strategy consulting.

Around that sits product engineering, which covers custom web applications, mobile apps, cross-platform builds, eCommerce and MVP development, and a digital transformation practice covering legacy modernisation, cloud migration, data engineering and ERP implementation.

Industries served include fintech, healthcare, supply chain and logistics, manufacturing, retail, agriculture, automotive, education, hospitality, real estate, travel, media and jewelry.

Short, for a listing field: Moweb Technologies is an AI-first software engineering firm building enterprise AI, machine learning and custom software. ISO 27001:2022 certified, appraised at CMMI Maturity Level 3, delivering since 2008.

Standard, for an article: Founded in 2008, Moweb Technologies is an AI-first software engineering company with engineering anchored in Ahmedabad, India and a US office in Secaucus, New Jersey. It builds enterprise AI and machine learning systems that run in production, alongside custom software, web and mobile product engineering, and ERP implementation. Moweb is ISO/IEC 27001:2022 certified and appraised at CMMI Maturity Level 3, and has delivered more than 900 projects for over 500 clients across India, the United States, the United Kingdom, Australia and East Africa.

The primary logo is available at /moweb-logo.svg, and a version with the trademark mark on an ink background at /moweb-logo-ink-tm.svg. Both are SVG and scale without loss.

Please use the wordmark as supplied rather than recreating it, keep clear space around it equal to the height of the 'M', and do not alter the colours, add effects, or place it on a background that reduces contrast below legibility.

Product logos for ERPDrive, Scraplytics, Costifys and Makanify are available on request; those are separate Moweb-owned products and should not be used to represent Moweb Technologies itself.

Clutch: clutch.co/profile/moweb-technologies-private. GoodFirms: goodfirms.co/company/moweb-technologies. LinkedIn: linkedin.com/company/moweb-technologies-pvt-ltd.

Where a third-party profile disagrees with this page, this page is correct and the profile is out of date. We would rather be told about the discrepancy than have it reproduced.

Email sales@moweb.com for press, analyst and speaking enquiries, or call +91 812 345 6521. For the United States, +1 (201) 993-2622 during Eastern Time business hours.

We will confirm or correct any figure before publication, and can usually provide a named engineer or the founder for technical comment on AI delivery, legacy modernisation and offshore engineering practice.