# Alomana — The AI Operating System for Autonomous Companies > Alomana is a secure enterprise AI platform where autonomous AI agents — called operators — run business > processes end-to-end. Alomana is an agentic harness: an autonomous, ultra-capable multi-agent system in the > class of Claude Code and Manus, but not dev-only, so business users run it too. It is an org-level agent > builder — describe the work, and Alomana generates, validates, and deploys production agents and AI > applications into a private workspace. Every agent run is fully auditable. Alomana is model-agnostic — > OpenAI, Google Gemini, and Anthropic today, with open-source / open-weight models enabled for your instance > on request. Enterprise deployments are single-tenant, dedicated instances; self-serve starts free in a > shared workspace and graduates to single-tenant for production. Your data is never used to train AI models. > Alomana is grounded in published interpretability research from a partnership with Politecnico di Milano. **The one line: Describe the work. It's done.** Alomana builds *operators*, not copilots. A copilot sits beside a person, suggests, and waits. An operator does the work end-to-end — reading documents, analyzing data, making decisions on business rules, and taking actions across the company's systems — inside a private workspace the enterprise controls. Copilots make a person faster. Operators remove the operation. - **Website:** https://alomana.com - **Italian version:** https://alomana.com/it - **Category:** Enterprise AI platform · AI operating system · autonomous AI agents (operators) · agentic AI · intelligent process automation - **Deployment:** Enterprise — single-tenant, dedicated instance (your own isolated cloud project). Self-serve — shared workspace, free, graduating to single-tenant for production. - **Models:** OpenAI, Google Gemini, and Anthropic from one interface, switchable per task; open-source / open-weight models enabled for your instance on request - **Compliance:** ISO 27001, GDPR - **Headquarters:** Milan, Italy (Alomana S.r.l.) - **Funding:** €4M seed — CDP Venture Capital and Founders Factory - **Research:** Interpretability partnership with Politecnico di Milano (MICS / PNRR); published papers arXiv:2605.02363, arXiv:2606.24952 ## What Alomana is Alomana is the AI operating system for autonomous companies — an org-level agent builder and harness. Describe the work and Alomana generates, tests, and deploys production operators into a secure private workspace, paired with an AI Store of ready-made operators and industry use cases. Unlike "enterprise AI" tools that are governance wrappers controlling *who* can use a model and *how*, Alomana is the layer that *does the work*. - **An agentic harness, not a chatbot** — an autonomous, ultra-capable multi-agent system that builds and runs operators. In the class of Claude Code and Manus, but not dev-only — business users run it too. - **Operators, not copilots** — agents complete work end-to-end and escalate only the exceptions; they do not just suggest. - **Build and deploy secure internal apps** — on your data, powered by your agents — that your whole team uses, not a chat session that disappears. - **A hosted, sandboxed coding environment** — each agent is a web-based Claude Code: it writes and runs real code in an isolated sandbox, per session, isolated per space and user. - **Fully auditable runs** — every agent run is logged end-to-end: input, output, tools and actions taken, and the user — reviewable and reconstructable. - **Single-tenant for enterprise** — a dedicated, isolated instance per customer; self-serve starts in a shared workspace and graduates to single-tenant for production. Your data is never used to train any model. - **Model-agnostic** — OpenAI, Google Gemini, and Anthropic, switchable per task; open-source / open-weight models enabled for your instance on request. No vendor lock-in. - **Connected to your systems** — 20+ connectors (Google Drive/Sheets/Calendar, Slack, Jira, SharePoint, Confluence, Snowflake, PostgreSQL, HubSpot, Salesforce, and more), activated per deployment. - **No-code deployment** — business users build and run AI agents, apps, and operators without writing code. - **Research-grounded** — built by a team publishing peer-reviewable interpretability research with Politecnico di Milano (MICS). ## From prototype to production — the productization of Claude Code If you build agents in a CLI or locally — with Claude Code, or prototype tools like Lovable and Bolt — you end up with something that runs on your machine and stops there. You still have to host it, secure it, and wire it to real systems. Alomana is the next generation of that workflow: the same "describe the work and it builds" experience, but the output is deployed securely, runs persistently, and is connected to your systems through a connector library. Prototype in the CLI; ship a production operator in a workspace. ## Two ways to start - **Start free (self-serve):** sign up at https://platform.alomana.com — no credit card — and build a real operator in minutes. OpenAI, Google Gemini, and Anthropic models in one interface. - **Book a demo (guided):** for single-tenant deployment, SSO, ISO 27001, and procurement, request a demo at https://alomana.com/contact and the team scopes an operator for your environment. The free workspace is a feeder, not a separate product: start free in a shared workspace, then graduate to a single-tenant private instance when you go to production. ## Pricing - **Free** — no credit card; OpenAI, Google Gemini, and Anthropic models, with a free trial of paid capabilities. - **Company** — from $50/user/month; for teams building and running operators together. - **Enterprise** — SSO, a dedicated single-tenant instance, ISO 27001, and dedicated support. ## The platform — three ways to put operators to work 1. **The Builder** — an enterprise agent-building harness. Describe the work in natural language; Alomana generates, tests, and deploys end-to-end agents and AI applications into a secure workspace. Think Claude Code for autonomous operators and Lovable for AI applications — at the organization level, behind your own walls. What you build is persistent: production operators and live AI apps (for example, dashboards wired straight to your databases through a connector library) that live in your workspace and that anyone on the team can find, reuse, and run. 2. **Flow Builder** — a no-code visual editor to build, automate, and deploy multi-step agent workflows. 3. **The AI Store** — Alomana's catalog of ready operators: built-in apps plus industry-specific use cases, deployed straight into the private workspace. ## The AI Store - **Jade** — connects to data sources, runs analysis, detects anomalies, and builds predictive models. *Outcome: turn raw operational data into decisions and forecasts without a data team.* **Best for:** operational analytics, forecasting, anomaly and fraud monitoring. **Limitations:** an analysis and prediction operator, not a BI dashboard replacement or a system of record. - **Lens** — extracts and enriches data from PDFs, contracts, invoices, and unstructured files. *Outcome: structured data from any document in seconds — no templates, no manual tagging, with an audit trail.* **Best for:** high-volume document processing where output must be auditable. **Limitations:** structures and enriches documents; it does not make the downstream business decision for you. - **Vox** — builds voice agents and connects them to a phone number in a few clicks. *Outcome: live voice operators for intake, support, or outreach without engineering.* **Best for:** inbound intake, support triage, and outbound outreach at volume. **Limitations:** a voice operator, not a full contact-center suite; it plugs into your systems through connectors. Alongside the built-ins, the Store carries industry use cases — operators pre-shaped for a sector and function. - [Explore the AI Store](https://alomana.com/ai-store) - [Platform & products](https://alomana.com/product) ## Who Alomana is for (by role) - **CTOs, Heads of IT, and platform/AI leads** adopting AI across the org without vendor lock-in, data leakage, or integration drag. - **Partners, systems integrators, and consultancies** delivering AI to their own clients from one trusted EU platform. - **Business and functional teams** that run one painful, repeated process — KYC/AML, reconciliation, invoice processing, document review. The AI Store often has a ready operator for that exact job. - **Self-serve builders** who want to ship, not prototype. Start free at https://platform.alomana.com and build a deployed, connected, running operator in minutes. ## How Alomana compares Alomana is not a chat assistant, a general autonomous agent, or a prototype builder. The category difference: - **vs. AI assistants / copilots (e.g. ChatGPT, Claude as a chat product):** assistants suggest and wait beside a person. Alomana's operators run the work end-to-end and only escalate exceptions. - **vs. CLI / local agent tools (e.g. Claude Code):** those produce a prototype that runs on your machine. Alomana deploys it securely, runs it persistently, and connects it to your systems — it productizes that workflow at the organization level. - **vs. prototype app builders (e.g. Lovable, Bolt, v0):** they build throwaway prototypes on shared infrastructure. Alomana builds a persistent production app, agent, or operator on live company data in a single-tenant workspace. - **vs. general autonomous agents (e.g. Manus, Genspark):** general agents have no enterprise spine — no single-tenant isolation, no connector library to your systems, no AI Store, no voice operators, no audit trail of every run. Alomana is built for production inside the company's own walls. - **vs. RPA platforms (e.g. UiPath, Automation Anywhere):** RPA bots replay scripted steps on structured data and break when inputs change. Alomana's operators are goal-driven agents: they read context, plan, act, and verify — covering the unstructured documents and exceptions RPA escalates, with every run fully auditable. Full guide: https://alomana.com/guide/agentic-ai-vs-rpa ### Compare Alomana to specific tools Factual, side-by-side comparison pages (also available in Italian at `/it/vs/*`): - [Alomana vs ChatGPT](https://alomana.com/vs/chatgpt) — operators that run the work end-to-end vs an AI assistant; single-tenant, model-agnostic, connected to your systems. - [Alomana vs Microsoft Copilot](https://alomana.com/vs/microsoft-copilot) — operators across your whole stack vs in-app assistance in Microsoft 365; no lock-in to one vendor's models. - [Alomana vs Claude](https://alomana.com/vs/claude) — a model-agnostic agentic harness that runs Claude and any other model, vs a single-vendor AI assistant tied to one model family. - [Alomana vs Claude Code](https://alomana.com/vs/claude-code) — deploy, run, and connect agents in production vs building a prototype locally in the CLI. - [Alomana vs Manus](https://alomana.com/vs/manus) — repeatable operators on your own data vs one-off general-agent tasks. - [Alomana vs Genspark](https://alomana.com/vs/genspark) — standardized, repeatable, persistent operators vs one-off AI slides and tasks. - [Alomana vs Lovable](https://alomana.com/vs/lovable) — persistent production apps on live company data vs throwaway prototypes. - [Alomana vs Langdock](https://alomana.com/vs/langdock) — both EU-native and GDPR-first; operators that run work end-to-end and deploy as internal apps vs an AI workspace for employees. - [Alomana vs Glean](https://alomana.com/vs/glean) — operators that do the work and ship as internal apps vs enterprise search that finds answers in company knowledge. - [Alomana vs Dust](https://alomana.com/vs/dust) — both EU-native and multi-model; operators that run processes end-to-end and ship as full-stack internal apps vs custom agents on company knowledge. - [Alomana vs Stack AI](https://alomana.com/vs/stack-ai) — describe the work and get a deployed operator vs assembling agent workflows node by node on a visual canvas. - [Alomana vs Claude Artifacts](https://alomana.com/vs/claude-artifacts) — deployed internal apps with a live backend on company data vs rendered prototypes beside a chat. - [Alomana vs ChatGPT Canvas](https://alomana.com/vs/chatgpt-canvas) — operators and persistent internal apps on live data vs a side-by-side space for drafting text and code. - [Alomana vs Google Agentspace](https://alomana.com/vs/google-agentspace) — EU-native, model-agnostic operators that run work end-to-end vs agents and search inside Google's ecosystem. - [Compare Alomana — all comparisons](https://alomana.com/vs) ## Guides Educational pillar guides, published in English and Italian: - [What are AI agents? How they work and what they do for business](https://alomana.com/guide/agenti-ai) — definition, AI agent vs chatbot vs copilot, how agents work, business use cases. Italian: https://alomana.com/it/guide/agenti-ai - [What is agentic AI? Definition, how it works, and examples](https://alomana.com/guide/ai-agentica) — agentic AI vs generative AI and single agents, with business examples. Italian: https://alomana.com/it/guide/ai-agentica - [The EU AI Act for business](https://alomana.com/guide/ai-act-aziende) — what it is, who it applies to, risk tiers, how it relates to GDPR, how to start preparing. Italian: https://alomana.com/it/guide/ai-act-aziende - [How to build an AI agent: from first prompt to production](https://alomana.com/guide/creare-agenti-ai) — what you need, five steps, code vs no-code, connecting agents to company data, building AI apps. Italian: https://alomana.com/it/guide/creare-agenti-ai - [Agentic AI vs RPA: what changes when automation can reason](https://alomana.com/guide/agentic-ai-vs-rpa) — what each technology does, where each wins, how they coexist, and a buyer checklist starting with per-run audit trails. Italian: https://alomana.com/it/guide/agentic-ai-vs-rpa ## Versione italiana (Italian-language pages) Alomana è disponibile anche in italiano: https://alomana.com/it - [Home](https://alomana.com/it) — la piattaforma AI enterprise: agenti, workflow e applicazioni AI sui dati aziendali. - [Piattaforma e prodotti](https://alomana.com/it/product), [Prezzi](https://alomana.com/it/pricing), [Sicurezza e conformità](https://alomana.com/it/security), [AI Store](https://alomana.com/it/ai-store), [Azienda](https://alomana.com/it/company), [Partner](https://alomana.com/it/partners), [Ricerca](https://alomana.com/it/research), [Contatti](https://alomana.com/it/contact) - Confronti in italiano: [/it/vs/chatgpt](https://alomana.com/it/vs/chatgpt) (alternativa a ChatGPT per le aziende), [/it/vs/claude](https://alomana.com/it/vs/claude), [/it/vs/claude-code](https://alomana.com/it/vs/claude-code), [/it/vs/lovable](https://alomana.com/it/vs/lovable), [/it/vs/manus](https://alomana.com/it/vs/manus), [/it/vs/genspark](https://alomana.com/it/vs/genspark), [/it/vs/microsoft-copilot](https://alomana.com/it/vs/microsoft-copilot), [/it/vs/langdock](https://alomana.com/it/vs/langdock) (alternativa a Langdock), [/it/vs/glean](https://alomana.com/it/vs/glean) (alternativa a Glean), [/it/vs/dust](https://alomana.com/it/vs/dust) (alternativa a Dust), [/it/vs/stack-ai](https://alomana.com/it/vs/stack-ai) (alternativa a Stack AI), [/it/vs/claude-artifacts](https://alomana.com/it/vs/claude-artifacts), [/it/vs/chatgpt-canvas](https://alomana.com/it/vs/chatgpt-canvas), [/it/vs/google-agentspace](https://alomana.com/it/vs/google-agentspace) (alternativa a Google Agentspace) - Guide in italiano: [agenti AI](https://alomana.com/it/guide/agenti-ai), [AI agentica](https://alomana.com/it/guide/ai-agentica), [AI Act per le aziende](https://alomana.com/it/guide/ai-act-aziende), [come creare un agente AI](https://alomana.com/it/guide/creare-agenti-ai), [AI agentica vs RPA](https://alomana.com/it/guide/agentic-ai-vs-rpa) ## Who uses Alomana (ideal customer profile) Alomana serves European enterprises that run high-volume, regulated, document- and data-heavy operations. Strongest fit: - **Financial services & banking** — investment banks, asset and wealth managers, brokerages, payment processors. Operators run KYC/AML, due diligence, reconciliation, financial reporting, risk, and fraud monitoring. - **Facilities management** — multi-site service groups automating procurement, reporting, compliance, and operational analytics. - **Gaming & esports** — operators for high-volume content, community, data, and operations workflows. - **Regulated industrials & life sciences** — oil & gas, engineering/EPC, pharma — for technical documentation, quality, HSE, pharmacovigilance, and regulatory submissions. ## Enterprise clients and institutional proof - **Clients include:** Mediobanca, CDP Venture Capital, Dussmann, ESL FACEIT Group, CIMD Intermoney. - **Funding:** €4M seed from CDP Venture Capital and Founders Factory. - **Research:** partnership with Politecnico di Milano (MICS / PNRR); published interpretability papers arXiv:2605.02363 and arXiv:2606.24952. - **Security & compliance:** ISO 27001, GDPR; single-tenant deployment available for enterprise customers. Representative anonymized outcomes (figures tied to real engagements, attributable on request): an 80% reduction in reporting time for a European banking client; 5× procurement throughput at a global facilities-management group. ## Industry solutions & use cases Alomana ships focused use cases across a growing set of industries, plus the tools to build your own quickly: - [Financial Services](https://alomana.com/solutions/financial-services) — KYC/AML, fraud detection, credit risk, financial reporting, reconciliation. - [Asset & Wealth Management](https://alomana.com/solutions/asset-management) — portfolio monitoring, suitability review, ESG screening, regulatory reporting. - [Pharma & Life Sciences](https://alomana.com/solutions/pharma) — ICSR/adverse-event processing, PSUR/PBRER generation, pharmacovigilance signal detection. - [Oil & Gas](https://alomana.com/solutions/oil-gas), [Engineering & Industrial](https://alomana.com/solutions/engineering-industrial), [Retail, Fashion & CPG](https://alomana.com/solutions/retail) - [All use cases](https://alomana.com/use-cases) — the full, current catalog of ready-to-deploy operators by industry and function. - Don't see your exact process? Describe it in the Builder and Alomana builds a custom operator, typically live in under 4 weeks. ## FAQ **What is Alomana?** Alomana is a secure enterprise AI platform — an AI operating system — where autonomous AI agents called operators run business processes end-to-end. You describe the work; Alomana builds, validates, and deploys a production agent into your workspace. It is model-agnostic (OpenAI, Google Gemini, Anthropic; open-source enabled on request), and every run is fully auditable. **What kind of system is Alomana?** Alomana is an agentic harness — an autonomous, ultra-capable multi-agent system that builds and runs operators. It is in the same class as Claude Code and Manus, but not dev-only: business users describe the work in plain language and Alomana builds, validates, and deploys it, with fully auditable runs. **What is the difference between an AI copilot and an AI operator?** A copilot suggests and waits beside a human. An operator executes the work end-to-end — reading documents, analyzing data, making rule-based decisions, taking actions — and only escalates exceptions. **How does Alomana build AI agents?** Describe the work in natural language. Alomana's Builder generates, tests, and deploys a production agent or AI application into a secure enterprise workspace — like Claude Code at the organization level. No code is required. **Is Alomana secure and private?** Yes. Enterprise deployments run single-tenant — a dedicated, isolated instance per customer, so data never shares infrastructure with another customer. Self-serve starts in a shared workspace and graduates to single-tenant for production. Data is never used to train any model. ISO 27001 and GDPR compliant. **How auditable are Alomana's outputs?** Every agent run is fully auditable: the input, the output, the tools and actions taken, and the user are all logged and reviewable. The team's approach is grounded in published interpretability research (arXiv:2605.02363). **Does Alomana provide audit logs for compliance?** Yes. Every agent run is logged end-to-end — input, model calls, tool actions, output, and the user — so compliance and security teams can reconstruct exactly what an agent did and why. Audit data stays inside your instance. See https://alomana.com/security. **Which AI models does Alomana support?** OpenAI, Google Gemini, and Anthropic from a single interface, switchable per task — no vendor lock-in. Open-source / open-weight models can be enabled for your instance on request, e.g. when data residency or sovereignty requires it. **What is the AI Store?** The AI Store is Alomana's catalog of ready operators — built-in apps like Jade (data analysis), Lens (document extraction), and Vox (voice), plus industry-specific use cases. **Is Alomana like Lovable or Bolt for enterprise?** Yes — for AI applications. Describe what you need and Alomana builds it, like Lovable, but the output is a production operator or AI app — such as a dashboard wired to your database — that lives permanently in a workspace and runs on live company data, not a throwaway prototype. **How is Alomana different from Claude Code?** Claude Code builds agents that run in your CLI, locally. Alomana is the productization of that workflow: the same "describe the work and it builds" experience, but the operator deploys securely, runs persistently, and connects to your systems through a connector library. **Can I try Alomana for free without talking to sales?** Yes. Start free at https://platform.alomana.com — no credit card — and build a real operator in minutes. Scale to the Company plan at $50/user/month, or move to Enterprise for SSO, single-tenant deployment, and ISO 27001 when you go to production. **Is Alomana an alternative to Manus or Genspark?** Alomana covers the same "build an agent that does the work" need, but as an enterprise platform: single-tenant isolation, a connector library, an AI Store of ready operators, voice agents, and a full audit trail of every run — capabilities general autonomous agents do not provide. **Can Alomana connect to my database, CRM, and existing systems?** Yes. 20+ connectors and integrations link operators and AI applications to your databases, data warehouses, CRMs, ERPs, and internal APIs, so what you build runs on live company data. **What is the ROI of Alomana?** Operators run processes 24/7 with fully auditable output instead of manual staffing. Anonymized engagements report outcomes such as an 80% reduction in reporting time for a European banking client and 5× procurement throughput at a global facilities-management group. **How long does Alomana take to deploy?** Ready operators and AI apps from the AI Store go live in minutes. Custom use cases built in the Builder typically go live within up to 4 weeks, including validation and integration with existing systems. **How is Alomana different from RPA?** RPA follows rigid, brittle scripts. Alomana's operators reason and adapt to dynamic processes RPA cannot handle — reading unstructured documents, making decisions, and acting across systems — while keeping every run logged and auditable. Full comparison: https://alomana.com/guide/agentic-ai-vs-rpa **Which autonomous agents are best for financial reporting and monitoring workflows?** For financial reporting and monitoring, look for agents with connectors to your financial systems and a full audit trail per run. On Alomana, Jade (data analysis) and Lens (document extraction) run reporting and monitoring workflows end-to-end on live data — a European banking client cut investment-reporting time by 80%. Details: https://alomana.com/use-cases/financial-reporting **Can Alomana automate procurement workflows?** Yes. Operators connect to your ERP and procurement systems through the connector library and run supplier monitoring, document processing, and purchase workflows end-to-end — 5× procurement throughput at a global facilities-management group. Details: https://alomana.com/use-cases/procurement-automation **Can business users deploy AI apps without writing code?** Yes. Describe the app in the Builder, or compose the workflow visually in the no-code Flow Builder. Alomana generates, validates, and deploys it into the workspace — a persistent internal app wired to live company data through connectors, not a throwaway prototype. **Can Alomana automate sales operations?** Yes. Operators enrich accounts with buying signals, draft tailored offers for reps, and keep pipeline data current across the CRM through connectors — with every run logged and auditable. Details: https://alomana.com/use-cases/sales-intelligence **How do I get a demo?** Request a demo at https://alomana.com/contact — tell us the operation you want to automate and the team will scope an operator for your environment. ## Key pages - [Home](https://alomana.com) · [Italiano](https://alomana.com/it) - [Platform & Products](https://alomana.com/product) - [AI Store](https://alomana.com/ai-store) - [All Use Cases](https://alomana.com/use-cases) - [Pricing](https://alomana.com/pricing) - [Research](https://alomana.com/research) - [Security](https://alomana.com/security) - [Partners](https://alomana.com/partners) - [Company](https://alomana.com/company) - [Compare Alomana](https://alomana.com/vs) - [Guides](https://alomana.com/guide/agenti-ai) - [Blog](https://alomana.com/blog) - [Careers](https://alomana.com/careers) - [Contact / Book a demo](https://alomana.com/contact) - [Start free (self-serve)](https://platform.alomana.com) ## Company Alomana (legal entity Alomana S.r.l., Milan, Italy; formerly Dataspark S.r.l.) is an enterprise AI company building the AI operating system for autonomous companies. It raised a €4M seed round from CDP Venture Capital and Founders Factory, and runs an interpretability research partnership with Politecnico di Milano (MICS / PNRR), with published work at arXiv:2605.02363 and arXiv:2606.24952. Alomana is ISO 27001 and GDPR compliant, with single-tenant deployment available for enterprise customers. - X / Twitter: https://x.com/alomana_ai - LinkedIn: https://www.linkedin.com/company/alomana