Product Roadmap

See what we're building and where we're headed. We're committed to transparency about our development progress.

📍 Currently: MVP (v0.1)
🚀

MVP Release

Current Release
November 2025

The Minimum Viable Product establishes core functionality. This release proves the FQoS (Financial Quality of Service) concept and provides essential features for early adopters.

Priority Bidding System
Round-based execution with market-driven pricing
Bundle Management
Import bundles from Git repositories or ZIP uploads
Credit Wallet
Per-user wallet with balance tracking
Auto-Bid with Cap
Automatic bidding up to a configurable limit
Future Reservations
Pre-book compute windows for guaranteed priority
Real-time Dashboard
Live market status and execution monitoring
85% Complete 5 of 6 features shipped
🎯

Version 1.0

In Development
Q1 2026

The first stable release with production-ready features. Focus on reliability, scalability, and enterprise requirements.

📋
Multi-Tenant Architecture
Isolated environments per organization with team management
📋
Webhook Notifications
Real-time alerts for bidding events, executions, and errors
📋
API Rate Limiting
Configurable rate limits with burst allowances
📋
Audit Logging
Comprehensive logs for compliance and debugging
📋
SSO Integration
SAML and OIDC support for enterprise authentication
📋
CLI Tool
Command-line interface for CI/CD integration
15% Complete Planning & Architecture
🔮

Version 1.5

Planned
Q2 2026

Advanced features for power users and complex deployments. Focus on integration ecosystem and developer experience.

📋
GraphQL API
Flexible querying alongside REST endpoints
📋
gRPC Support
High-performance RPC for latency-sensitive workloads
📋
Custom Intents
Define your own intent types with custom handlers
📋
Terraform Provider
Infrastructure-as-code for PrioStack resources
📋
SDK Libraries
Official SDKs for Python, Node.js, Go, and Java
Not Started 5 features planned
🌟

Version 2.0

Vision
Q4 2026

The next major evolution. Distributed architecture, edge computing, and AI-powered optimization.

📋
Multi-Region Deployment
Geo-distributed execution with automatic failover
📋
Edge Computing
Run bundles at the edge for ultra-low latency
📋
AI Bid Optimization
ML-powered bidding strategies based on historical data
📋
Predictive Scaling
Anticipate demand spikes before they happen
Not Started Long-term vision

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