Features
Reinforcement-trained agent harness: plan, act, verify, cite
Long-context core model with multi-million token native window
99% tool-use accuracy across 10,000+ tools
One-click OAuth to 90+ integrations covering 1000s of tools
Air-gapped deployment on-prem, on-device, or inside VPC
Build agentic workflows with a single text prompt
Autonomous execution across email, calendar, docs, code, and data
Enterprise-grade end-to-end encryption
Auditable action logs and citations
Credit-based top-up system with no plan change required
RL training across 9 enterprise verticals
5 provisional patents on long-context model design
Scalable infrastructure from zero to millions of users
One-click deployment in under two weeks
PokeeResearch Isaac agent (coming soon, open-source 7B model)
Fine-tune open-source LLMs (Llama 3, Mistral, Llama 2)
Automated hyperparameter optimization (Ludwig)
One-click deployment with autoscaling
Low-latency inference endpoints
Model evaluation and version comparison
Custom training data from S3/GCS
LoRA/QLoRA adapter-based fine-tuning
Per-request monitoring and logging
VPC deployment for data privacy
Support for multiple model architectures
