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AI-native ER&D and IT service

Suitable AI is an AI-native Engineering, R&D and Talent Solutions company helping global enterprises design, build and scale products, engineering teams and digital capabilities faster. We combine Engineering R&D (ER&D), digital engineering, product engineering and AI-powered talent infrastructure in one integrated model. Our capabilities span embedded systems, automotive and EV, software-defined mobility, semiconductors, electronics, aerospace & defence, industrial and manufacturing engineering, MedTech, cloud, data, AI/ML, enterprise software, quality engineering, testing and validation.

Our proprietary AI interviewer agents automate technical screening and assessment through structured voice and video interviews, intelligent scorecards and skill-based evaluation. For highly specialized roles, we combine AI with subject-matter experts, recruiters and a curated talent ecosystem to deliver deeper domain validation and deployable engineering teams. Suitable AI supports enterprises across the product and engineering lifecycle from talent discovery and technical assessment to team deployment, product development, modernization, testing, sustenance and digital transformation.

Our engagement models include dedicated engineering teams, managed services, contract staffing and project-based delivery.
We work with leading enterprises and Fortune 500 companies across automotive, mobility, semiconductors, aerospace, healthcare, industrial, telecom, BFSI and technology.

Our vision is to build an AI-first operating layer for engineering and workforce creation—combining engineering intelligence, domain expertise, autonomous AI agents, cloud, data and human expertise to help enterprises accelerate innovation, improve time-to-market and build intelligent, connected and future-ready products.

  • Min project size
    Undisclosed
  • Hourly rate
    Undisclosed
  • Employees
    50 - 249
  • Year founded
    Founded 2021

Select Focus Area
RPO Focus
Candidate Sourcing
70%
Job Posting Management
20%
Candidate Engagement & Management
5%
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