Commercial model

Price the institutional knowledge first. Then the technology that puts it to work.

Penomic is not sold as a seat bundle or a bucket of AI credits. Every engagement begins by defining the financial knowledge, decisions and controls that must be made explicit. The resulting scope determines the build, deployment and operating model.

Scope an engagement Explore services

One commercial sequence

Discover. Build. Deploy. Operate.

An institution can begin with discovery only. Each subsequent stage is proposed against agreed outcomes, artifacts and acceptance criteria—not an arbitrary product tier.

01
Usually 2–4 weeks

Discover

Penomic ontologists work with domain experts to recover the definitions, exceptions, precedents and decision logic that actually run the institution.

  • Expert interviews and working sessions
  • Review of models, policies and decision artifacts
  • Priority competency questions and target workflows
  • Ontology blueprint, delivery scope and implementation plan
02
Scoped after discovery

Build

We formalize the institution’s knowledge into a governed ontology and the retrieval, reasoning and control patterns required to use it.

  • Firm-specific concepts, relationships and rules
  • Provenance, permissions and policy boundaries
  • Golden answers and evaluation cases
  • Integration-ready semantic assets
03
Platform follows the ontology

Deploy

The ontology becomes the context and control layer for financial answers, models, memos, decks, workflows and agents—inside the institution’s operating environment.

  • Platform and approved execution surfaces
  • API, MCP and A2A integration
  • Identity, access and deployment controls
  • Acceptance testing against competency questions
04
Ongoing managed service

Operate

Penomic can run the ontology as a living institutional asset: governed, versioned and extended as the business, regulation and technology change.

  • Ontology stewardship and release management
  • New-domain and workflow expansion
  • Quality, drift and exception review
  • Enablement for internal teams and delivery partners

How proposals are priced

The drivers are visible.

We do not publish a false fixed price for work whose cost depends on the knowledge boundary, operating environment and governance burden. Discovery creates the evidence needed for a defensible proposal.

Knowledge scope

The domains, business lines, jurisdictions and competency questions in scope.

Expert intensity

The number and seniority of subject-matter experts and the condition of existing knowledge artifacts.

Deployment boundary

Cloud, private environment, data residency, identity, assurance and integration requirements.

Execution surfaces

The answers, models, decks, workflows, channels and agentic harnesses to be enabled.

Operating model

Client-operated, Penomic-managed, partner-delivered or white-labeled delivery.

Service level

Release cadence, support coverage, governance forums and ongoing ontology stewardship.

Direct engagements

Built around an institutional outcome

A proposal identifies the knowledge domain, deliverables, acceptance criteria, deployment boundary, responsibilities, fees and timeline. The signed order form or statement of work is the commercial source of truth.

Partners and white label

Economics designed for a scale channel

Advisory firms, systems integrators, data providers and platforms can refer, co-deliver, embed or white-label Penomic under a separate partner agreement. Commercials reflect delivery ownership, support boundaries and recurring operations.

See the partner model

Start with scope, not seats

Bring us one domain where institutional knowledge is valuable, fragmented and hard to govern.

Discuss the first domain