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sAInaptic

sAInaptic provides enterprise-grade, domain-specific AI assessment intelligence that marks open-ended responses against an organization's own rubrics and historical examiner judgments. The platform combines human-in-the-loop control with transparent, auditable AI reasoning to help awarding organizations, training providers, and platform partners scale marking and quality assurance while maintaining regulatory compliance.

Traction 6/10
London, United Kingdom · HQ
Founded 20208700+ followers
  • Education Technology
  • Artificial Intelligence
  • Software Only
  • Data & Analytics
Updated 18 days ago

Funding

Raised to date

£1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Est. $1.3M

across 1 round

EVUV

Founders

1 founder

Kavitha Ravindran

Educator/Educational Technology

Product

Problem

Scaling high-stakes assessment marking and quality assurance in regulated sectors is operationally challenging as candidate volumes grow and expert assessor pools shrink, creating bottlenecks in turnaround times and consistency across thousands of scripts. Generic AI tools and black-box algorithms pose compliance and reputational risks, including bias, hallucination, and lack of transparent reasoning that regulators require.

Solution

sAInaptic offers enterprise-grade, domain-specific AI assessment intelligence that evaluates open-ended responses—from short answers and essays to multimedia e-portfolios—against a client's specific rubrics and historical examiner judgments. The AI identifies the presence or absence of concepts and skills rather than relying on keyword matching, generating predictive scores and personalized feedback in seconds. Human markers remain in control, reviewing AI work before results are shared with learners, ensuring expert oversight and ethical deployment. The platform also supports continuous quality assurance, assessment authoring, analytics, and personalization, with deployment options via API into existing systems or as a white-labelled end-to-end solution.

Target Audience

Primary users are awarding organizations, training providers, and platform partners (LMS and e-assessment vendors) who need scalable, standards-aligned assessment marking, moderation, and feedback in regulated and high-stakes educational contexts.

Features

  • Domain-trained AI models benchmarked against senior examiner marks with deviation rates of 1-3% and 98.9% accuracy
  • Concept-based marking across short answers, essays, reports, scenario case studies, multimedia e-portfolios, and image/video evidence
  • Audit trails and transparent AI reasoning for regulatory compliance in high-stakes assessment environments
  • Quality assurance and moderation at scale with data-driven visibility into examiner drift and outliers
  • Performance analytics for candidates, cohorts, and test centres, including comparative centre-level reporting and misconception identification
  • API integration and LTI white-labeled surfaces for seamless embedding into existing LMS or e-assessment platforms
This profile is AI-generated and may contain inaccuracies.