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Rafiqspace.ai

Rafiqspace.ai provides human-centered AI companions for Indonesian institutions, with Meetpal as its flagship meeting intelligence platform. Meetpal delivers Bahasa-native transcription, speaker identification, and regulation-grounded summaries cited against Indonesian law from JDIHN and peraturan.go.id. The platform supports on-premises GPU inference and exposes every product capability through MCP for integration with external AI agents.

Traction –/10
HQ unknown
  • Artificial Intelligence
  • AI Agents
  • Regulatory & Compliance Technology
  • Legal Technology
  • Government Technology
  • Enterprise Software
  • Cybersecurity
  • Data & Analytics
  • Software Only
  • Education Technology
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Indonesian government bodies, legal professionals, and regulated enterprises work in environments where accuracy, compliance, and auditability are non-negotiable. Existing AI tools often fail to handle the complexities of Bahasa Indonesia, local regulatory frameworks, and institutional security requirements, leaving teams to rely on manual analysis or generic, ungrounded AI outputs.

Solution

Rafiqspace.ai provides a suite of human-centered AI companions designed for the institutional context. The platform's flagship product, Meetpal, delivers meeting intelligence with live Bahasa-native transcription, speaker-identified notes, and decision summaries cross-referenced against Indonesian regulations from JDIHN and peraturan.go.id. Complementing Meetpal are Threatpal for AI-driven security intelligence over existing SIEM telemetry, Edupal for certification-aligned language learning, and Taskpal for intelligent task management. All products share a common agent and MCP fabric, allowing institutions and their own AI agents to interact with each capability without UI lock-in. The platform supports flexible deployment—including on-premises GPU inference for transcription, summarization, and regulation retrieval—and is designed to keep sensitive data within institutional perimeters.

Target Audience

Primary customers are Indonesian institutions, including legislatures, government ministries, regulated enterprises in banking, insurance, and healthcare, as well as law firms and compliance teams requiring high-accuracy, auditable documentation.

Features

  • Meetpal: live or batch transcription with speaker labels, one-time voice enrollment for persistent speaker identification, and regulation-grounded summaries citing relevant UU articles retrieved from JDIHN and peraturan.go.id
  • Deployment flexibility: institutions choose managed models or on-premises GPU inference for transcription, summarization, and regulation retrieval, with raw logs never leaving their perimeter
  • Threatpal: queries twelve months of SIEM telemetry in plain Bahasa or English, generating CISO-grade reports with MITRE-mapped findings while keeping data in-country
  • Edupal: certification-first language learning for JLPT, NAT-TEST, JFT-Basic, Goethe, TOPIK, and DELF exams with AI writing feedback and native-language (including Bahasa Indonesia) explanations
  • Taskpal: meeting-to-action conversion and investigation-to-runbook workflows with board and card management
  • MCP-exposed endpoints for every product, enabling integration with Claude Desktop or in-house agents; SAML 2.0 single sign-on, per-organization tenancy, and full audit trails on every agent action
This profile is AI-generated and may contain inaccuracies.