Alternative to ModelML
Lunnoa vs. ModelML: a general-purpose, self-hosted platform vs. a financial-research toolkit
ModelML is a well-regarded AI toolkit for financial research, reporting, and document review, built around six pre-set modules. Lunnoa is a different kind of product: a self-hosted, general-purpose AI agent platform where business users build custom agents and workflows for any regulated process, not just the ones a vendor ships out of the box. Here is how the two actually compare.
Why teams look for a ModelML alternative
ModelML covers real ground for financial research teams: workflows, analytical grids, document review, chat, notetaking, and dashboards, live inside Excel, PowerPoint, Outlook, or a firm's own systems. The limits show up when the process you need does not fit inside those six modules, or when self-hosting on your own infrastructure needs to be the default, not an option available on request. Lunnoa covers the same ground financial teams use ModelML for, research, document analysis, reporting, dashboards, as one capability inside a general-purpose, self-hosted platform, not six fixed modules.
- Self-hosted on your own infrastructure by default, every deployment, not an on-request option
- General-purpose: Solution Designer and Workflow Builder build any agent or workflow, not only the pre-built financial modules
- Not limited to financial services: the same platform covers private equity, banking, insurance, and other regulated industries
- Single flat licence, unmetered, with SSO, SCIM, RBAC, and a full audit trail on every deployment
Side by side
Lunnoa vs. ModelML, side by side
| Criterion | Lunnoa | ModelML |
|---|---|---|
| Deployment model | Self-hosted on your infrastructure by default, every plan | Cloud-hosted by default; isolated or dedicated deployment available on request |
| Data residency & control | Data and audit trail stay inside your own infrastructure by default | Customer data held in siloed, per-tenant storage on ModelML's infrastructure unless a dedicated deployment is arranged |
| Product scope | General-purpose platform for building any agent or workflow | Six pre-built modules (Workflows, Grids, Document Review, Chat, Notetaker, Dashboards) scoped to financial research and reporting |
| Who builds | Business users describe the process; Solution Designer plans and builds a custom agent | Configure within the six pre-built modules; no general-purpose custom app or workflow builder |
| Target industries | Any regulated enterprise process: private equity, banking, insurance, and beyond | Financial services only: investment banking, private equity, credit, and asset & wealth management |
| Pricing model | Single flat licence, unmetered, published on the pricing page | Custom enterprise pricing, not publicly disclosed |
Deployment model
Lunnoa
Self-hosted on your infrastructure by default, every plan
ModelML
Cloud-hosted by default; isolated or dedicated deployment available on request
Data residency & control
Lunnoa
Data and audit trail stay inside your own infrastructure by default
ModelML
Customer data held in siloed, per-tenant storage on ModelML's infrastructure unless a dedicated deployment is arranged
Product scope
Lunnoa
General-purpose platform for building any agent or workflow
ModelML
Six pre-built modules (Workflows, Grids, Document Review, Chat, Notetaker, Dashboards) scoped to financial research and reporting
Who builds
Lunnoa
Business users describe the process; Solution Designer plans and builds a custom agent
ModelML
Configure within the six pre-built modules; no general-purpose custom app or workflow builder
Target industries
Lunnoa
Any regulated enterprise process: private equity, banking, insurance, and beyond
ModelML
Financial services only: investment banking, private equity, credit, and asset & wealth management
Pricing model
Lunnoa
Single flat licence, unmetered, published on the pricing page
ModelML
Custom enterprise pricing, not publicly disclosed
When ModelML is the better fit
Lunnoa is not the right tool for every team, and a comparison page that pretends otherwise is not useful to anyone. ModelML is a genuinely strong product for a narrower job.
- The work is limited to financial research, document review, and reporting exactly as ModelML's six modules cover it, with nothing custom needed outside that scope
- You want a live product with dedicated financial-services templates today, rather than a platform you configure and build on
- Vendor-hosted cloud infrastructure, with isolated storage rather than your own environment by default, fits your compliance posture
Frequently asked
Lunnoa vs. ModelML, answered
The questions teams evaluating a self-hosted alternative to ModelML ask most.
Lunnoa is an alternative to ModelML for teams that need more than financial research and reporting out of the box. Where ModelML ships six pre-built modules scoped to financial services, Lunnoa is a general-purpose, self-hosted AI agent platform: business users describe any process in plain language and Solution Designer plans and builds the agent, covering financial research use cases and any other regulated workflow on the same platform.
ModelML is cloud-hosted by default, with isolated, siloed storage per customer and dedicated or on-your-infrastructure deployment available on request. Lunnoa is self-hosted on your own infrastructure by default on every plan, so data and the audit trail stay inside your environment without a separate request or negotiation.
ModelML is a set of six pre-built modules (Workflows, Grids, Document Review, Chat, Notetaker, Agentic Dashboards) purpose-built for financial services research and reporting. Lunnoa is a general-purpose, self-hosted AI agent platform: business users describe a process and Solution Designer builds a custom agent, covering the same research, document analysis, and reporting ground plus any other regulated workflow, under a single flat licence with SSO, SCIM, and RBAC included.
ModelML's product is scoped to six pre-built modules for financial research, document review, and reporting; it is not a general-purpose builder for custom apps or workflows outside that scope. Lunnoa is built the other way around: Solution Designer and Workflow Builder let business users build a custom agent or workflow for any process, financial research included, rather than choosing from a fixed set of modules.
Lunnoa is the better fit once a firm needs AI agents or workflows beyond financial research and reporting, since it is a general-purpose platform rather than six fixed modules. ModelML is a strong, purpose-built choice if financial research, document review, and reporting exactly as it ships covers everything the team needs, and self-hosting your own infrastructure by default is not a requirement.
Built for teams that already take infrastructure seriously.
- CTOs and platform teams evaluating fit with your reference architecture
- Security and compliance reviewing data residency and access control
- Operations teams that need attributable runs, not black-box automation
- Builders who want unlimited usage under a flat licence