Datics AI

Datics AI is a custom software development company based in Austin, Texas, founded by Umair Majeed (CEO) and Umar Majeed (CTO). The firm works across 30+ technologies and stacks, positioning itself as a partner for startups through enterprises looking to build products from concept to launch. The company reports a 95% client retention rate, 50+ products delivered, and claims to execute 300 sprints annually. Its leadership team includes VP Engineering Faraz Younis and Engineering Manager Daniyal Ahmad.

Services and capabilities

Datics AI structures its offerings around a six-phase product lifecycle: ideation, innovation, build, maintain, scale, and automate. In the ideation phase, they conduct market research and analysis, run concept development workshops, create customer personas, and validate ideas. The innovation phase covers product design sprints, prototype development, and UI/UX design. Their build services include full-stack development, mobile app development, web application development, custom software solutions, API integration, and QA testing (functional, integration, system, and usability testing).

For maintenance, the company offers ongoing technical support, product updates and upgrades, security monitoring, performance optimization, backup and disaster recovery, and continuous QA monitoring including regression testing and performance analysis. Scaling services focus on cloud migration, infrastructure scaling, performance analysis and enhancement, market expansion strategy, and feature addition. Automation capabilities span workflow automation, CRM integration and automation, automated reporting and analytics, email marketing automation, and chatbots.

Beyond this tiered model, Datics AI also offers staff augmentation, allowing clients to hire individual roles—product engineers, developers, QA specialists, cloud engineers, AI engineers—from their talent pool. They describe this as access to "the top 3% talent." Additional service lines include business analysis, DevOps consulting, cloud strategy, ChatGPT integration, digital transformation, and data science.

Notable work

Three case studies appear on the site. Cosmic MarketVerse AI is a SaaS platform designed to empower investors navigating financial markets. Drive OTT is an over-the-top advertising solution that consolidates data for running advertisements across multiple platforms simultaneously. The Dealership Toolkit Portal is a SAAS product built to help dealerships analyze customer data to increase sales conversions, serving the RV, automotive, powersports, and marine sectors.

Client testimonials come from Ben McGuire (CEO, Motor Events Racing), Richard DeLancey (CIO, Coast Technology), and Morran Biton (CEO, Ideeza), all rating the company 5 out of 5. McGuire notes "punctuality and seamless communication." DeLancey describes them as delivering "high-quality solutions swiftly."

How they work

Datics AI's engagement follows a three-step process: Concept Consultation (strategy meeting and vision alignment), Custom Development (transformation of idea into product with regular updates), and Launch & Celebrate (product goes live). The company offers both end-to-end product development and à la carte services. They claim 99% on-time delivery and a streamlined onboarding process. Specific pricing, contract terms, or hourly/sprint rates are not disclosed on the public website. Engagement models include fixed-scope projects, dedicated teams, and staff augmentation on flexible terms.

Team and credentials

Datics AI has four named executives: Umair Majeed (CEO/Founder), Umar Majeed (CTO/Co-Founder), Faraz Younis (VP Engineering), and Daniyal Ahmad (Engineering Manager). The company does not disclose total team size or breakdown by discipline. No certifications (ISO 27001, SOC 2, etc.), awards, or third-party ratings (Clutch, G2) are mentioned in the source material. The firm lists 30+ technologies and stacks it works with but does not break down team composition or language proficiencies.

The company's website promises "highly vetted teams" and emphasizes domain expertise across industries, but provides no public credentials, partner statuses (AWS, Microsoft, Google), or formal accreditations to verify this claim.