O Series is the AI-to-AI compression platform. OGENTI compresses text protocols. OVISEN compresses image embeddings. Same MARL engine. Two output formats. Pay-per-token pricing.
Both products share the same MARL training engine, credit system, and AES-256-GCM encrypted adapter format. Choose what you need to compress.
AI-to-AI text compression protocol. Agents learn to compress natural language into 3-token protocol messages. 10x compression, zero meaning loss.
AI-to-AI image embedding compressor. Converts raw images into high-dimensional compressed embeddings. Downstream AI agents never need the raw pixels.
Text agents burn tokens on grammar. Vision agents transmit raw megapixel images. Neither is necessary for AI-to-AI communication.
Text agents burn API tokens with natural language overhead. Every "please" and "sure" is money on fire. OGENTI compresses to 3 tokens.
Vision agents transmit full images when only embeddings matter. A 5MB photo can be a 256-dim vector. OVISEN makes the conversion.
There's no TCP/IP for AI. Every framework invents its own format. O Series provides a standard: .OGT for text, .OGE for images.
OGENTI: Natural language in, compressed protocol out. OVISEN: Raw image in, compressed embedding out.
Both OGENTI and OVISEN use the same multi-agent reinforcement learning pipeline. Two cooperative agents (encoder + decoder) optimize competing objectives.
Choose a pre-trained model as the frozen backbone. The platform freezes all base weights — only the compression head is trained.
BACKBONE: FROZENSelect from built-in datasets or upload your own. The platform handles cleaning, formatting, and batching automatically.
FORMAT: AUTO-DETECTTwo agents train cooperatively. The encoder compresses; the decoder reconstructs. Reward = fidelity x compression x task-performance. PPO optimizes both simultaneously.
REWARD: MULTI-OBJECTIVETrained weights are distilled into a portable adapter file. AES-256-GCM encrypted. Any compatible model can load the adapter and speak the protocol instantly.
ENCRYPTION: AES-256-GCMEvery adapter gets a scalable REST API endpoint. The router automatically selects the cheapest compatible model. You only pay for compressed tokens generated.
BILLING: PAY-PER-TOKENUpload text logs or image datasets. Auto-clean, auto-format, auto-batch for MARL training.
INGESTIONSelect backbone + dataset + episodes. The platform provisions RunPod A100 clusters and runs the full PPO pipeline.
TRAININGWatch agents learn in real-time. WebSocket streams reward curves, fidelity scores, compression ratios, and PPO loss.
MONITORINGPortable encrypted adapters. .OGT for text protocols, .OGE for image embeddings. AES-256-GCM with unique keys.
EXPORTEvery adapter gets a REST API. The built-in Router Agent auto-selects the cheapest compatible model for each request.
DEPLOYMENTNo GPU lock-in. Buy credits, spend on training and inference. Massive scale = massive savings through compression.
BILLINGTrain on your own data through the dashboard. Get portable adapters that work with any compatible model.
Pick a modality — text or image. Choose your backbone. Select a dataset. Buy credits. We handle the GPUs — you get an encrypted adapter.
pip install oseries && oseries.attach(your_model, adapter="my_adapter.ogt")