# Product Roadmap

Reppo is moving from launch and internal pilots toward permissionless datanets, enterprise workflows, and data monetization.

This roadmap reflects the current product direction. It centers on datanet creation, operator monetization, data exchange, and trust systems.

Older references to gateway-first architecture and IP co-ownership are no longer part of the active roadmap.

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#### What Changed in Reppo V2

Reppo V2 simplifies the network around datanets as owner-operated markets.

The main shifts are:

* the old public/private framing is gone
* datanet creation is permissionless
* datanet owners control access, pricing, incentives, and monetization
* Foundation-led monetization gives way to owner-led P\&L
* the roadmap now focuses on datanets, exchange, verification, and reputation

This is the core product shift behind the current roadmap.

***

#### Enterprise Readiness Track

Enterprise adoption is a core V2 focus, not a side effect.

Key capabilities being rolled out:

* restricted-access datanets for proprietary workflows
* encryption and controlled access for sensitive datasets
* auditable participation and verification flows
* region-specific deployment options where needed
* compliance-aligned data handling for enterprise use cases

The goal is to let organizations use Reppo for domain-specific data generation without exposing sensitive data publicly.

***

#### How Value Flows in V2

V2 makes the economic model easier to understand and easier to operate.

At a high level:

* datanet owners launch markets and meet the required lock conditions
* publishers pay to submit data into a datanet
* buyers or partners can pay access or monetization fees for datasets and outputs
* most datanet-level value accrues to the datanet owner
* the network still captures a smaller fee layer and routes value back into the ecosystem
* veREPPO and emissions help direct attention and incentives toward the markets the network wants to grow

This is what turns each datanet into both a coordination layer and a business model.

***

#### Buyer and Partner Alignment

Reppo is prioritizing datanets that have clear downstream demand, not just supply.

That means focusing on buyers and partners who need recurring training data, evals, or human feedback in live workflows.

Near-term alignment is strongest with:

* AI labs and model teams that need domain-specific datasets
* enterprises running proprietary feedback and evaluation loops
* software products that need ongoing human-in-the-loop signal
* ecosystem partners who can bring distribution, demand, or high-value operators

The goal is to grow datanets that are commercially useful from the start, not just experimentally active.

***

#### Phase 0: Foundations (Completed)

**Focus:** Build the core network, validate the model, and prepare for launch.

Key work completed in this phase:

* core staking, voting, and governance design
* veREPPO mechanics and token launch preparation
* internal pilots for training data, evals, and human feedback
* early smart contract, API, and operator tooling
* security, legal, and ecosystem preparation

By the end of this phase, Reppo had a working internal base, a defined token model, and early contributors ready for launch.

***

#### Phase 1: Token Launch and Reppo V2 (Q4 2025 → Q2 2026) — Current

**Focus:** Launch the token, ship Reppo V2, and make the platform usable for real operators.

**Q4 2025**

* launch the token and mainnet
* enable staking, locking, and base governance
* onboard early publishers, datanet operators, and partners
* start pilot programs for data, evals, and feedback workflows

**Q1 2026**

* launch **Reppo V2**
* introduce **permissionless datanets**
* let datanet owners control access, pricing, and monetization
* activate core datanet launch economics, including lock requirements and fee flows
* support enterprise and Web2 teams with proprietary data workflows
* improve APIs, analytics, and operator tooling

**Q2 2026**

* improve onboarding and admin workflows for datanet owners
* tune emissions and governance based on live usage
* refine datanet incentive mechanics, including native-token seeding and network tax behavior
* improve discovery, pricing, and demand-to-supply matching
* roll out stronger restricted-access workflows for enterprise datanets
* publish early case studies from live deployments
* keep tightening UX, API reliability, and dashboards

This phase is about getting Reppo V2 into market, learning from real usage, and making the product easier to adopt beyond crypto-native users.

***

#### Phase 2: Network Expansion (H2 2026 → 2027)

**Focus:** Scale usage, deepen enterprise adoption, and expand monetization.

Priority areas:

* launch more datanets across verticals like finance, healthcare, robotics, marketing, and enterprise knowledge work
* deepen integrations with AI labs, data teams, and software products that need ongoing human feedback
* expand the [Data Exchange](https://reppo-labs-xyz.gitbook.io/reppo-labs/roadmap/data-exchange) for discovery, packaging, and monetization
* strengthen [Verification, Provenance, and Reputation](https://reppo-labs-xyz.gitbook.io/reppo-labs/trust-and-security/verification-provenance-and-reputation)
* develop reputation and scoring layers such as [REPPO Score](https://reppo-labs-xyz.gitbook.io/reppo-labs/roadmap/reppo-score)
* expand privacy, auditability, and region-specific deployment options for sensitive datasets
* improve market integrity through stronger anti-spam, anti-bribery, and negative-signal handling
* expand grants, partnerships, and implementation support for strong operators

The goal is to make Reppo a repeatable coordination layer for training data, evals, and feedback at scale.

***

#### Phase 3: Long-Term Ecosystem Maturity

**Focus:** Make the network more composable, more global, and more durable.

Longer-term direction:

* support larger enterprise workloads and higher throughput
* expand compliance, localization, and region-specific deployments
* improve operator controls and monetization options
* support more autonomous agents and programmatic data markets
* extend Reppo Protocol beyond training data into broader stake-assured human feedback markets
* keep evolving governance, fee capture, and long-term sustainability

The long-term vision is a network where datanets can launch, grow, monetize, and compound reputation with minimal coordination overhead.
