Latency & Experience
Writing on a board, drawing a doodle, moving through an activity — these need millisecond feedback. Edge models respond immediately, without a round-trip to the cloud.
Edge AI for classrooms, cameras and creative tools.
ThinkForge AI builds systems where intelligence lives on the device: digital ink engines inside whiteboards, Gen-AI tuned for teaching, activity layers that feel like apps, and surveillance models that run directly on cameras.
Cloud is optional. Edge is the default.
Why Edge AI is the centre of everything we build.
We are not a “cloud-first” company. We start from the edge device — the whiteboard, tablet or camera — and ask what intelligence can live there, close to the user, with or without the internet.
Privacy & Governance
Student handwriting, classroom video and productivity metrics often can't leave the room. We process data on-device and send only structured signals or summaries, if at all.
Reliability & Reach
Many classrooms and camera deployments have patchy connectivity. Edge AI keeps working in offline or constrained setups, syncing with Gen-AI when the network is available.
ThinkForge stack — three layers that plug into your products.
Edge AI (recognition + surveillance) runs directly on your devices. Gen-AI reasons over your content and edge signals. Activities turn everything into interactive experiences.
Edge AI SDK
On-device handwriting, math, parts-of-speech, doodles and camera-based surveillance models. Integrate into whiteboards, tablets, IFPs or NVRs.
Gen-AI SDK
Teaching-aware Gen-AI modules for explanations, assessments, comparison and synthesis, tuned for your content and policies.
Activities SDK
Rich, media-heavy activities that sit on top of Edge AI and Gen-AI layers, embeddable inside your existing apps.
You can license each layer independently, or as a bundle. We also collaborate on customised variants and end-to-end deployments for OEMs and platform partners.
01 • Edge AI Layer (Recognition + Surveillance)
The Edge AI layer has two faces: recognition models for ink, text and doodles, and surveillance models for cameras and spaces. Technically they share the same edge runtime — we just tune them for different domains.
01A • Recognition Models
On-device models that understand strokes, symbols and language without leaving the device. Perfect for classrooms, note-taking, and creative tools.
- Language ID across 180+ languages.
- Math recognition for handwritten equations and expressions.
- Doodle & emoji recognition for playful UX and reactions.
- Parts-of-speech tagging for grammar-aware reading and writing tools.
These engines can be shipped as a standalone Edge AI SDK or combined with Gen-AI / Activities for full-stack experiences.
01B • Surveillance Models
Vision models that run on cameras or gateways, focusing on events and safety instead of identity. Outputs are signals, not raw video.
- Fire and hazard detection directly at the edge.
- Vehicle speed, flow and congestion estimation.
- Zone-based productivity, occupancy and safety metrics.
- Custom detectors aligned with your privacy and compliance rules.
Surveillance and recognition share the same Edge AI layer. You can pick one, both, or ask us to train and deploy domain-specific models.
02 • Gen-AI Layer
Gen-AI that understands your content and your edge signals.
The Gen-AI layer sits between your content and the Edge AI layer. It takes recognised ink, events and context and turns them into structured teaching flows instead of free-form chat.
- 16+ teaching modules for explanation, summarisation and assessment.
- Flows can start from handwritten questions or board content.
- Outputs are tuned for classroom: steps, scaffolds, checks, variants.
- Can be constrained to your curriculum and in-house repositories.
Available as a Gen-AI SDK that plugs into your existing apps, or bundled with Edge AI and Activities for a full-stack learning engine.
03 • Activities Layer
Activities that feel like native apps, powered by AI underneath.
The Activities layer turns topics into playable experiences. Each activity can use Edge AI signals, Gen-AI outputs, or both, and is designed to run smoothly on classroom devices.
- Rich media support: animations, images, audio and 3D.
- Auto-create draft activities from a topic or whiteboard session.
- Multiple choice, matching, timelines, drag-and-drop and more — with new types continuously added.
- Exposed as an Activities SDK to embed inside your existing apps.
You can use the Activities layer alone (with your own data), or pair it with our Edge AI and Gen-AI layers for end-to-end intelligence.
SDKs, integrations and custom deployments.
Whether you want just the Edge AI layer, only the Gen-AI flows, the Activities engine — or all three — we can ship SDKs, help you integrate them, and deploy customised versions that match your hardware, UX and policies.
- Company: ThinkForge AI
- Location: Vamsirams Jyothi Crest, Road No 1, Jubilee Gardens, Kondapur, Hyderabad 500084, Telangana, India
- Email: sales@tforgeai.com