Sainaptic AI-assisted Marking & Feedback

Sainaptic (sAInaptic Limited) is a UK-based AI assessment company founded by Kavitha Ravindran and Rajeshwari Iyer, Cambridge-trained educators and data scientists. It helps awarding organisations, end-point assessment organisations and training providers mark vocational and professional qualifications such as portfolios, reports and presentations faster without losing assessor judgement.

Sainaptic positions itself as an assessment intelligence layer that works alongside existing assessment platforms rather than replacing them. Its context-specific models are trained on curated, client-sourced data and an organisation's own marking judgement instead of a generic LLM, and they produce marks, narrative feedback and moderation support, including for video submissions. A human-in-the-loop design keeps qualified assessors in control of final decisions.

• AI-assisted marking: suggests marks for portfolios, reports, presentations and written work.
• Narrative feedback: generates assessor-style written feedback for each learner.
• Moderation support: helps quality-assure marking at scale.
• Video marking: evaluates video-based submissions.
• Client-trained models: built on curated, client-sourced data and the organisation's own judgement.
• Platform partnerships: integrates with assessment delivery platforms such as Skilltech.

• Vocational colleges in Vietnam marking practical portfolios and reports for skills certificates.
• Corporate academies in banking or hospitality assessing recorded role-play and presentation videos.
• Assessment platform vendors embedding AI marking for professional certification bodies.

• Much faster turnaround: the company says marking for some qualifications fell from 45 minutes to eight seconds.
• Consistency: reported deviation from expert assessors is under 1%, and one customer reports 98% agreement on narrative feedback.
• Fits existing systems: works as a layer on top of current assessment platforms.
• Assessor control: humans confirm every final decision.

Vocational and apprenticeship assessment relies on slow manual marking of portfolios and practical evidence, and awarding bodies are adopting AI with human oversight to cut backlogs. Vietnam's push for vocational skills certification and corporate academies creates similar demand for consistent, faster assessment of workplace evidence.

UK-based; founders Kavitha Ravindran and Rajeshwari Iyer. October 2026: GBP 1M round co-led by Cornerstone VC and Ufi Ventures with Elm Venture Partners and Brighteye Ventures; Skilltech partnership offering expected in Q1 2027. Clients include Safety Training Awards, CTH and GLL.