The Challenge
Your customers need assessment intelligence they can trust. Don't build a shortcut.
You sell world-class assessment experiences, test delivery engines, and learning platforms. But as your enterprise clients demand automated assessment intelligence for multi-modal assessments, plugging in generic LLM wrappers puts your reputation at risk. Generic AI hallucinates, suffers from prompt drift, and lacks the explainability required for assessments.
Why Re-invent the Wheel? Building a compliant, domain-trained assessment intelligence infrastructure takes years of specialised R&D in computational linguistics and psychometrics.
Partner with sainaptic to embed an enterprise-grade assessment layer, already trusted by awarding organisations and training providers, directly into your software.
How it Integrates
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Light, well-documented REST APIs designed to plug into existing LMS, e-assessment, or proctoring platforms with zero friction.
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Use sainaptic's app either as a white-labelled stand-alone platform or integrated directly within your existing platform using LTI.
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Offer highly reliable AI solutions due to domain-specificity built into the way we train, validate and optimise the models for you.
“Our partnership marks the beginning of a new way of learning and preparing for end point assessments - with on-demand, personalised feedback, on every portfolio submission! With sAInaptic’s AI, tutors and assessors will be able to provide high-quality, instant feedback to learners to show them exactly where they are in their learning journeys. All stakeholders will always know which Knowledge, Skills & Behaviours have been met, and where gaps in learning still exist, so that tutors can provide timely and targeted interventions.”
“One of the biggest stand-outs was the new AI portfolio marking system. Honestly, it’s out of this world. In many ways, it marked better than I ever could. It picked up on the smallest details I might have missed, such as equipment being used in a lesson plan but not listed on the equipment list. It also gave clear recommendations on whether a learner should pass or be referred, based on whether they had fully met the criteria. For example, it flagged when lesson plans didn’t show enough contrasting activity, such as needing at least two practices or ensuring there were at least two teaching points per practice.”
“We are excited about the potential AI has within assessment, not only making tutor time more efficient and reducing marking, but giving learners consistent and non-bias feedback / marks. AI doesn’t have personal or prior experience with a learner so marks their work according to the set mark scheme and is able to provide detailed specific feedback, helping tutors provide more personal learning to their learners. It is learning and developing all the time, which will create more opportunities for tutors to focus on and spend time with their learners.”
“The feedback is quite detailed and far more extensive than we thought we would have. And we have noticed that with each iteration, each time we have given feedback to Raj, things have improved."”
“I was extremely impressed with how intuitive the AI assisted marking was and the quality of feedback generated. AI marking identified all key points a tutor would normally pick up, but much more quickly. It was extremely fast, with the longest turnaround being 8.9 seconds.”
“Our partnership marks the beginning of a new way of learning and preparing for end point assessments - with on-demand, personalised feedback, on every portfolio submission! With sAInaptic’s AI, tutors and assessors will be able to provide high-quality, instant feedback to learners to show them exactly where they are in their learning journeys. All stakeholders will always know which Knowledge, Skills & Behaviours have been met, and where gaps in learning still exist, so that tutors can provide timely and targeted interventions.”
“One of the biggest stand-outs was the new AI portfolio marking system. Honestly, it’s out of this world. In many ways, it marked better than I ever could. It picked up on the smallest details I might have missed, such as equipment being used in a lesson plan but not listed on the equipment list. It also gave clear recommendations on whether a learner should pass or be referred, based on whether they had fully met the criteria. For example, it flagged when lesson plans didn’t show enough contrasting activity, such as needing at least two practices or ensuring there were at least two teaching points per practice.”
“We are excited about the potential AI has within assessment, not only making tutor time more efficient and reducing marking, but giving learners consistent and non-bias feedback / marks. AI doesn’t have personal or prior experience with a learner so marks their work according to the set mark scheme and is able to provide detailed specific feedback, helping tutors provide more personal learning to their learners. It is learning and developing all the time, which will create more opportunities for tutors to focus on and spend time with their learners.”
“The feedback is quite detailed and far more extensive than we thought we would have. And we have noticed that with each iteration, each time we have given feedback to Raj, things have improved."”
“I was extremely impressed with how intuitive the AI assisted marking was and the quality of feedback generated. AI marking identified all key points a tutor would normally pick up, but much more quickly. It was extremely fast, with the longest turnaround being 8.9 seconds.”
