Torch makes data analysis easy for everyone. Visualise key metrics, track performance, and discover trends without needing a data science background.
Get tailored lesson plans aligned to Common Core, NGSS, and ISTE in seconds. Simply type your request like “Hands-on activities for a 4th grade science unit on force and motion”, and receive a ready-to-use framework.
Simply ask for an assessment for any lesson plan and you will recieve multiple variations and options for students. On top of this, LIFT will create the rubric that automatically aligns to the standards you wish to assess.
Generate innovative teaching resources tailored to your unique classroom needs. Personalize instructional approaches to your grade level, subject area, and student learning profiles.
Rely on proven educational models, from Competency-Based Education (CBE) to Project-Based Learning (PBL) and Universal Design for Learning (UDL), ensuring every suggestion is grounded in best practices and current pedagogy.
Always stay up-to-date with live data flowing directly into your dashboard. Track changes as they happen.
Tailor your dashboard to show the metrics that matter most. Create multiple views for different team members or purposes.
Easily share your insights with the team. Comment, edit, and collaborate on reports without leaving the platform.
Save time with automated, scheduled reports. Get the insights you need, delivered straight to your inbox.
Discover patterns and trends in your data effortlessly. Visualise historical data to forecast future performance.
Dive deeper into your data with interactive charts. Hover and click for more detailed insights and breakdowns.
Answers to questions you might have about Torch.
LIFT is an educational assistant specifically designed to support K-12 educators, unlike general LLM which are built to be applied to a wide range of tasks and functions. With a primary focus on education, LIFT provides in-depth knowledge and support for various instructional models, curriculum design, and student support frameworks, drawing only from training data from verified and recognized K-12 educational sources. LIFT’s responses are generated to adhere to recognized teaching standards, frameworks, and best practices, ensuring that the information provided is immediately implementable, relevant and beneficial for educators and students in all K-12 subjects.
No, LIFT is not trained on unverified data. We use only verified and research-backed primary and peer-reviewed sources from 2019 or later to ensure what LIFT’s knowledge base is focused on current K-12 best practices and recognized standards. LIFT has access to a research database that includes JSTOR and ERIC in which it can draw research from as part of its responses.
Absolutely. Our platform adjusts to different subjects, grade levels, and instructional models seamlessly. For optimal results, always include the grade level when formulating your requests or questions.
LIFT is trained on the following educational standards: Common Core K-8 standards, NGSS (Next Generation Science Standards), ISTE (International Society for Technology in Education), Physical Education SHAPE standards, National Core Art Standards, AERO Social Studies and history standards, and State Standards. This comprehensive training covers core academic subjects, science, technology, physical education, arts, and social studies/history, ensuring a well-rounded educational foundation.
LIFT understands and incorporates the following educational approaches and methodologies: Project-Based Learning (PBL), Personalized Learning, Competency-Based Education (CBE), STEM/STEAM, Social Emotional Learning (SEL), ELA/ELL, Words Their Way phonics instruction, Culturally Responsive Teaching (CRT), Responsive Classroom, Global and Cultural Competence and more. This diverse range of educational philosophies and best practices enables LIFT to support a variety of modern teaching strategies and learning environments, catering to different student needs and promoting well-rounded development.
Yes, LessonLift prioritizes security by storing your data on secure AWS (Amazon Web Services) servers, known for their reliability and robust protection. Your queries are encrypted during transmission, with decryption only occurring when necessary for generating responses. The platform LIFT is built on is SOC-2 compliant and adheres to OpenAI’s Data Usage Policy, ensuring your data is never used to train additional AI models.