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)
No-code agent builder (Invent) with natural language description
Drag-and-drop multi-agent workflow canvas (Workforce)
Built-in agent evaluation and quality scoring (Evals)
Human-in-the-loop oversight with approval gates
Real-time monitoring dashboard with Timeline view
Role-based access controls (RBAC) and audit logs
PII masking and data residency controls
LLM-agnostic: supports Claude Sonnet, GPT-5.5, Claude Opus 4.7, Gemini 3.5 Flash
Gemini 3.5 Flash with 1M-token context and 64K-token output
100+ pre-built integrations including HubSpot, Gmail, Salesforce, Confluence, Notion
Agent escalation when confidence is low
Scheduling and triggers for automated execution
Confluence Knowledge Sync for auto-updating knowledge bases
MCP access for Member role
Version control and rollback for agents and tools
