Pokee
Pokee is an enterprise AI agent platform that deploys secure AI agents across data, applications and workflows, running inside a customer's chosen boundary such as private cloud, VPC, on-premises or air-gapped environments.
About Pokee
Pokee
Pokee presents itself as an enterprise AI agent platform. Its page states that agents run inside the boundary a customer already trusts and can be deployed as Pokee-managed dedicated cloud tenants, in the customer's own AWS, Azure or GCP account via a least-privilege role, on premises on the customer's hardware, air-gapped with no egress, or on-device on managed workstations. The page describes the Pokee-Isaac model (28B parameters, up to 10M-token context, marketed as a planning, executing and reviewing agent for long-horizon tasks) and PokeeClaw, which it offers for pilot deployments. It lists one-click OAuth connectors to 90+ integrations covering thousands of tools, and sector-specific use cases in finance, healthcare, e-commerce, legal, education and manufacturing. It also reports SOC 2 Type 2 completion, ISO/IEC 27001 and 42001 audits in progress, five provisional patents, and a $12M seed round led by Point72 Ventures. An API with a 10M-token Pokee-Isaac option for developers is mentioned.
Key features
- Deployment options: Pokee-managed dedicated tenant, customer VPC (AWS, Azure, GCP), on-premises, air-gapped, and on-device
- One-click OAuth connections to 90+ integrations covering thousands of tools
- Pokee-Isaac model with up to 10M-token context and 28B parameters
- Long-horizon planning, execution and review agent
- Tool-use runtime and RL-based tool planning
- Connectors to sources such as documents, code repositories, tool catalogs and conversations
- SOC 2 Type 2 completed; ISO/IEC 27001 and 42001 audits in progress
- Pilot-based rollout with customization of templates, conventions and integrations
Best suited for
- Finance teams needing due diligence and risk scoring
- Healthcare organizations needing on-prem or on-device deployment for clinical drafting and prior authorization
- E-commerce teams producing promotion performance reports
- Legal teams reviewing large case archives
- Education institutions working with LMS and student records
- Manufacturing teams reporting from ERP and MES data
Pricing
Not stated on the website
Discussion
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