ova

Nova Lab

Where recurring workflow problems become vertical products.

Nova Lab explores workflow-heavy industries with design partners, builds the first agent-first workflow, validates whether the pattern repeats, and only productizes when the operational logic is clear.

Nova Lab

How Nova Lab works

  1. 01

    Identify a recurring operational pain

    Find bottlenecks that repeat across an industry.

  2. 02

    Interview operators and domain experts

    Learn the real process from the people who run it.

  3. 03

    Map the real workflow

    Turn tacit process into an agent-executable map.

  4. 04

    Build the first Minimal Viable Agent

    Ship the smallest useful version to prove value.

  5. 05

    Test with design partners

    Validate with real teams before building further.

  6. 06

    Productize only when repeatability is clear

    Turn it into a product once the operational logic holds.

Nova Lab

Current Lab explorations

01

Solon by Nova

The first Lab exploration to graduate into a full vertical product.

Solon is Nova's first productized vertical: agent-first workflows for consulting and expert firms, spanning proposals, research, deliverables, project operations, knowledge reuse and firm operations. It began as a Lab exploration and now has its own product.

Built on Nova Backbone, Solon keeps humans in control: agents prepare proposals, research and deliverables; consultants review, decide and approve before anything reaches a client.

Explore Solon
Use cases
  • 01Proposals
  • 02Research
  • 03Deliverables
  • 04Project operations
  • 05Knowledge reuse
  • 06Firm operations
02

Rialti by Nova

Agent-first workflows for real estate, property management and investor operations.

Rialti focuses on workflows where documents, requests, assets, people and financial signals are scattered across systems: property intake, maintenance coordination, tenant and vendor communication, lease review, portfolio follow-up, investor reporting and operational task routing.

Built on Nova Backbone, Rialti is designed for supervised operations: agents structure the work, surface context and prepare actions; humans review, decide and approve where judgment matters.

Use cases
  • 01Property intake
  • 02Maintenance triage
  • 03Tenant and vendor communication
  • 04Lease and document review
  • 05Portfolio follow-up
  • 06Investor updates
  • 07Operational task routing
03

Preflight by Nova

Agent-first prepress workflows for print businesses.

Preflight focuses on the repetitive path from customer artwork to production-ready files: intake, upload, artwork checks, issue detection, proof preparation, customer validation, prepress review and handoff to production.

Built on Nova Backbone, Preflight is designed to reduce back-and-forth between customers, customer service and prepress teams before a job is ready to print.

Use cases
  • 01Customer intake
  • 02Artwork upload
  • 03File checks
  • 04Issue detection
  • 05Proof preparation
  • 06Prepress review
  • 07Customer approval
  • 08Production handoff
04

Nova Companion

Embeddable AI companions for customer-facing workflows.

Nova Companion explores how companies can offer their own customers a governed AI layer inside their existing product, portal or workflow. Instead of shipping a generic chatbot, a company can configure a companion with its own instructions, approved agents, trusted content and human approval rules — the companion can retrieve, draft, calculate, prepare actions and guide customers through real work, while keeping sensitive actions supervised and auditable.

Built on Nova Backbone, Companion is designed for B2B2C use cases where trust, data separation and oversight matter: advisory firms, legal platforms, SaaS vendors, insurance, banking and other customer-facing environments where AI needs to be scoped, grounded and governed before it acts.

Use cases
  • 01White-label customer AI
  • 02Embedded product companion
  • 03Client document assistance
  • 04Guided workflow execution
  • 05Human approval before action
  • 06Governed knowledge retrieval
  • 07Audit-ready customer interactions
  • 08Customer portal augmentation
05

Scout by Nova

Agent-first workflows for executive search and recruiting teams.

Scout focuses on the repetitive preparation around a judgment-heavy workflow: client intake, mandate clarification, search strategy, profile discovery, candidate enrichment, screening, match reasoning, longlist creation, shortlist preparation and feedback loops. It explores how agent-first workflows can compress the time from mandate to shortlist — agents gather and structure candidate context, enrich profiles, compare them against client requirements, surface match reasoning and prepare client-ready outputs, while recruiters and search partners stay in control of selection, relationships and final decisions.

Built on Nova Backbone, Scout is designed for human-supervised search: agents do the preparation and structure scattered context across roles, profiles, conversations and feedback; recruiters and search partners keep judgment, client trust, candidate relationships and the final decision.

Use cases
  • 01Client intake
  • 02Mandate clarification
  • 03Search strategy
  • 04Profile discovery
  • 05Candidate enrichment
  • 06Screening and match reasoning
  • 07Longlist creation
  • 08Shortlist preparation
  • 09Client feedback loops
  • 10Candidate follow-up

Nova Lab explores workflow-heavy industries with design partners, builds the first agent-first workflow, validates whether the pattern repeats, and only productizes when the operational logic is clear.