Pokee AI

What is Pokee AI?

Pokee AI is an enterprise AI agent platform designed for private deployment. It enables organizations to run AI agents securely within their own infrastructure, across their data, applications, and workflows. The platform emphasizes data privacy and control, allowing deployment in private cloud, on-premise, on-device, or air-gapped environments.

How Pokee AI works

Pokee AI combines a long-context core model (Pokee-Isaac) with an agent harness that supports tool use, planning, acting, verifying, and citing. The system is reinforcement-learned across nine enterprise verticals, including finance, healthcare, e-commerce, law, education, and manufacturing. It integrates with over 90 applications via one-click OAuth, enabling agents to perform tasks across multiple tools without API keys or complex configuration.

Main features

• Private deployment: Run in your VPC, on-premises, air-gapped, or on-device.
• Pokee-Isaac model: 10M token context, 28B parameters, 93.3 RULER at 10M, runs on a single RTX 4090.
• 90+ integrations: Connect to Google Workspace, Slack, GitHub, Jira, Notion, and more.
• Vertical-specific tuning: Optimized for finance, healthcare, law, education, manufacturing, and e-commerce.
• Enterprise security: SOC 2 certified, data not used for training, revocable access.
• Workflow automation: Schedule workflows, trigger chains, and handle failures.

Pricing

Pricing details are not publicly listed on the provided pages. The FAQ mentions pricing plans and credits, but specific costs are not disclosed. Enterprise pricing is available on request.

Common use cases

• Finance: Due diligence and risk scoring with 87.7% accuracy on FinanceBench.
• Healthcare: Clinical drafting and prior authorization with on-prem/on-device deployment.
• E-commerce: Promo performance reports reduced from 8 hours to 30 minutes; Amazon research from 1 week to 1 hour.
• Law: Handling 10M tokens of context for entire case archives.
• Education: Grading and accreditation grounded in LMS and student records.
• Manufacturing: Live ERP and MES dashboards, 8D and CAPA reports.

Limitations

• Context window: While 10M tokens is large, it may not suffice for extremely large datasets.
• Hardware requirements: Running the model may require specific hardware (e.g., RTX 4090) for optimal performance.
• Integration coverage: Although 90+ integrations are available, some niche tools may not be supported.
• Pricing transparency: Public pricing is not available, which may hinder evaluation.
• Deployment complexity: On-premise and air-gapped setups may require significant IT resources.

Summary

Pokee AI offers a secure, enterprise-grade AI agent platform with flexible deployment options and strong vertical specialization. Its focus on data privacy and integration breadth makes it suitable for organizations needing AI automation within their own infrastructure. However, the lack of public pricing and potential hardware requirements are considerations for adoption.