Dataspark
Alomana is an AI operating system that lets users describe a desired outcome in plain language, then plans, builds, and runs the necessary workflows, apps, and integrations. The platform deploys persistent AI agents that operate on schedules and react to events across Slack, email, phone lines, and internal tools. Alomana runs in a dedicated, private instance within the customer's environment, ensuring data never touches shared infrastructure and remains ISO 27001 and GDPR compliant.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Companies accumulate dozens of SaaS tools—106 per company on average, with 57% going unused—while 89% of AI agents never reach production. Teams spend 60% of their day on coordination and administrative work rather than core execution, creating an execution gap despite abundant software and AI assistance.
Solution
Alomana is an AI operating system that lets users describe a desired outcome in plain language, then plans, builds, and runs the necessary workflows, apps, and integrations. It designs interfaces, connects to live data through a library of connectors, and deploys persistent agents that operate on schedules and react to events. The platform works across Slack, email, phone lines, and internal tools, with every action logged and auditable end to end. Alomana runs in a dedicated, private instance within the customer's environment, ensuring data never touches shared infrastructure and remains ISO 27001 and GDPR compliant.
Target Audience
Primary customers are enterprise operations, financial services, sales, and facility management teams that need to automate complex, multi-step workflows across their existing tool stack.
Features
- Natural-language outcome specification that generates a strategy for approval before execution, eliminating configuration and setup
- Persistent AI agents that run on schedules, react to events, and improve over time based on business activity
- Pre-built agents in the AI Store for tasks like investment reporting, transaction monitoring, offer drafting, voice intake, procurement automation, and invoice reconciliation
- Auditable end-to-end logging of every run, including input, output, tools, and user actions
- Multi-model support allowing users to switch between frontier models per task without vendor lock-in
- Private-by-design deployment in a dedicated instance inside the customer's environment with ISO 27001 and GDPR compliance