Associate Member:

sAInaptic Limited

Organisation Type:
Skills technology Supplier

Contact details
Address: C/o BCS Windsor house Station court, Station road, Great Shelford, Cambridge, CB22 5NE

Telephone: tel:+44 (0) 7538 524 120

ABOUT

At sAInaptic, we believe assessment should be more insightful than ever—and we build the AI to make it so. Founded by a team blending academic rigour from Oxbridge and NHS-scale data science expertise, we’ve created a platform that automates marking of free-form answers, essays, reports, scenario-based case studies and multimedia e-portfolios, while matching human accuracy with less than 1% deviation.

For training providers, awarding organisations and EPA bodies, we give you a reliable co-pilot: one that saves time, reduces cost and lets you focus on what matters most, improving learner outcomes. But automation doesn’t mean one-size-fits-all. At sAInaptic, we start by listening: we work closely with your assessors, your questions, your rubrics and your domain, building a tailored AI that truly understands the concepts in the mark-scheme, not just keywords.

Whether you integrate via API into your learning management system, or launch a fully customised white-label portal, we ensure seamless onboarding and ongoing control: you review the work before it goes to learners. With sAInaptic you get smart technology, grounded in pedagogy and driven by data, so assessment becomes agile, transparent and impactful.

sAInaptic was founded by a team with a deep blend of academic, educational and data science expertise: Dr Rajeshwari Iyer and Kavitha Ravindran, supported by a technology lead, Dr Bram Vandekerckhove. Their mission is clear: to bring automated, AI-driven marking, feedback and analytics to free-form answers (essays, reports, scenario-based questions, e-portfolios) – not just multiple‐choice. Their name “sAInaptic” playfully references a synapse in the human brain, emphasising connection, insight and intelligent transfer of knowledge.

The platform they’ve built takes assessments (across sectors such as schools, training providers, awarding organisations) and applies an artificial intelligence model that goes beyond keyword checking. It learns from domain-specific rubrics, mark schemes and assessor behaviour to identify whether the underlying concepts are present. Once configured, it can mark open-ended student responses almost instantly, generate personalised feedback and supply analytic dashboards showing common misconceptions, performance trends and more. For clients this means potentially huge savings of assessor time, better consistency in marking and a route to more prompt learner feedback.

Although the company began with a focus on UK schools (for example GCSE Science open-ended questions) they have rapidly expanded into global and vocational assessments and training contexts. They report deployment in 50 + UK secondary schools and growing interest from exam boards, awarding organisations and international providers. Their API-based integration and white-label web solutions enable use in Learning Management Systems or stand-alone form, making them adaptable to different markets.

Looking ahead, sAInaptic is positioning itself to scale further in the B2B-assessment market: training providers, professional certification, apprenticeships and large awarding bodies. They emphasise that the demand for automated assessment of free-text responses is increasing, especially given the arrival of advanced language models and an increased focus on personalised, speedy feedback. Their evidence-led approach (including working with the EDUCATE programme to embed research mindset) means they are not just selling a technological “black box” but a tool built on data, pedagogy and measurable outcomes.

sAInaptic is an AI-assisted assessment and feedback solution that enables educators, trainers, and organisations to deliver instant, personalised feedback at scale – reducing workload, improving learner outcomes, supporting multimodal learning, and delivering measurable cost savings. We make marking smarter and feedback meaningful.

Our World-Class A-Game
What makes sAInaptic world-class is our unique blend of educational expertise and advanced AI. We solve a critical, global challenge in teaching and training: the time-consuming and inconsistent nature of marking and qualitative feedback.

Our A-game lies in our ability to:
Automate personalised feedback for open-response and multimodal tasks, aligned to curriculum standards and assessment criteria
Present actionable insights at the learner, cohort, and curriculum level to inform interventions and adapt teaching in real-time
Support competency-based education by tracking learner progression and skill mastery over time
Be trainer-friendly, intuitive, and customisable – designed by educators for ease of adoption in real-world settings

Whether it’s a science teacher in London or a vocational skills coach in Nairobi, sAInaptic empowers them with the same high-quality insights, saving hours of marking time and raising the quality of teaching and learning.

What Makes sAInaptic Unique?
Built by educators who deeply understand the demands of teaching, sAInaptic brings a pedagogically grounded and ethically responsible approach to AI.

Our key differentiators include:

Pedagogically aligned AI: Our feedback models are trained on real-world learner responses, expert markers, and curriculum-aligned rubrics to ensure educational integrity and fairness
Scalable feedback for open-ended and multimodal tasks: Going beyond MCQs, sAInaptic supports written, typed, and spoken responses – essential for skills-based education
Curriculum-agnostic and sector versatile: From GCSEs and Functional Skills to digital skills and short courses – our platform adapts seamlessly
Human-AI collaboration: Educators stay in control. All feedback is transparent, editable, and supports professional judgment
Ethical, secure, and compliant: We uphold the highest standards of data protection, ethical AI use, and safeguarding learner trust

sAInaptic is committed to advancing educational equity and access worldwide. Our vision is to become the trusted feedback and assessment partner for institutions globally – enabling scalable, inclusive, and future-ready skills development. As we grow internationally, we actively seek partnerships with governments, NGOs, training providers, awarding organisations, and EdTech companies to bring high-quality, AI-driven feedback to learners everywhere.

sAInaptic delivers AI-assisted marking and feedback training for international certificating bodies, helping institutions worldwide automate the assessment of free-form answers, essays, case studies and portfolios, with near-human accuracy.
Supports global apprenticeship and end-point assessment processes, aligning e-portfolio evidence with knowledge, skills and behaviours (KSBs) across multiple national apprenticeship frameworks.
Provides white-label and multilingual deployment support, enabling training providers and awarding organisations worldwide to launch tailored assessment solutions under their own branding and within local regulatory standards.
Analytics-focused training helps partners use performance-insight dashboards for early learner intervention and dropout reduction, ensuring global cohorts receive timely and targeted support.
Equips clients to integrate its AI-marking engine via API with existing learning management systems (LMS), ensuring smooth adoption across international digital infrastructures.
Provide structured guidance on bias-reduction and fairness in assessment, enabling diverse, multicultural organisations to maintain consistency and objectivity in marking.
Includes adaptive learning pathway training, teaching educators how to personalise learning journeys using real-time data from global learner populations.
Includes consultancy sessions to help providers build domain-specific AI models, ensuring assessment logic reflects local curricula, vocational standards and sector-specific skill requirements.
sAInaptic also focuses on meta-skills and digital fluency, helping global apprentices and trainees develop collaboration, adaptability and confidence working alongside AI tools.
Deliver scalable deployment workshops for international organisations, training assessors and administrators to implement, monitor and quality-assure AI-driven marking systems across multiple regions.