Dataspark offers Alomana, an AI operating system that lets users describe business outcomes in plain language and deploys autonomous agents to execute work across Slack, phone, and internal tools. The platform builds persistent apps, connects to live data, and runs auditable, private instances within a company's environment. It targets enterprises seeking to move beyond AI assistance to full operational automation.
Funding
Funding not disclosed
Founders
Product
Problem
Companies accumulate dozens of SaaS tools, yet a significant portion go unused, and many AI agents never reach production. This leaves teams spending a large share 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, and then plans, builds, and runs the necessary workflows, apps, and integrations. It designs interfaces, connects to live data through 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. Alomana runs in a dedicated, private instance within the customer's environment, ensuring data never trains shared models 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