Autonomy you can inspect, steer, and certify.
Rainy brings policy-aware execution, deterministic orchestration, and transparent telemetry together so regulated teams stay in command of every decision.
Observable autonomy
Rainy Core keeps every workflow deterministic with unified telemetry and clear approvals.
Safety as runtime
Enosis guardrails enforce scoped credentials, reversible actions, and continuous audits.
Sovereign-first reach
Operate inside jurisdictional boundaries while retaining transparent control over tooling.
Rainy Core, Aether, Maker, and OS work in concert so your agents stay observable and policy-aligned from day one.
Rainy Core orchestration
Deterministic plans and unified telemetry coordinate every Rainy experience.
Enosis Safety guardrails
Scoped credentials, reversible flows, and live audits keep agents accountable.
Model Context Protocol
Open connectors give teams transparent control over tools, data, and outcomes.
Audit-ready by default
99.8% policy adherence across 32 sovereign regions with live telemetry and reversible workflows.
Enterprise pilots
Guiding regulated teams through sovereign AI rollouts.
Sovereign regions
Operating within local policy guardrails across continents.
Research hours
Invested before launching Rainy experiences to the public.
Open interfaces
Model Context Protocol and APIs documented for partner audits.
Founder operators
Building Rainy hands-on with product, safety, and platform teams.
Data compromise
Enosis Safety enforces reversible automation by default.
Principles that make Rainy accountable by design
We build Rainy with the same conviction customers use to deploy it: autonomy must stay verifiable, reversible, and grounded in human oversight.
Deliver verified autonomy
Every Rainy release is orchestrated by Rainy Core and validated through auditable guardrails.
Sovereign AI for every team
Operate in any region with the same policy enforcement, telemetry, and reversible workflows.
Build with open standards
Model Context Protocol keeps extensions interoperable so partners can inspect, extend, and govern Rainy.
Rainy Core discipline
Deterministic planning, unified runtime, and shared telemetry make autonomy predictable.
- Deterministic plans
- Unified telemetry
- Runtime observability
Enosis Safety governance
Zero-trust credentials, live validation, and reversible automation keep humans in control.
- Live guardrails
- Scoped access
- Reversible flows
Sovereign outcomes
Customers retain ownership over data, keys, and compliance evidence across Rainy surfaces.
- Locality first
- Compliance snapshots
- Customer-owned keys
A future where autonomy remains accountable
Rainy is engineered so humans keep steering power. These principles ensure we stay transparent, auditable, and sovereign-first across every surface.
Trustworthy autonomy
Rainy agents serve human intent with verifiable safeguards and transparent oversight.
Open collaboration
Model Context Protocol keeps us building with partners who need interoperable autonomy.
Sovereign control
Teams retain ownership of data, keys, and compliance evidence across every Rainy surface.
Model Context Protocol fabric
Open connectors let Rainy surfaces share secure context while staying extensible.
- Universal connectors
- Transparent APIs
- Shared governance
Enosis Safety operations
Safety is woven into runtime execution with reversible automation and scoped credentials.
- Live policy validation
- Scoped access
- Reversible workflows
Rainy Core orchestration
A unified runtime powers Rainy Aether, OS, Maker, and Core with deterministic delivery.
- Deterministic plans
- Unified telemetry
- Audit-ready logs
Sovereign network design
Rainy honors locality by default so global teams operate within their jurisdictional guardrails.
- Regional control
- Compliance blueprints
- Shared stewardship
Research that ships sovereignty into production
Our lab work immediately fuels Rainy pilots—every breakthrough becomes auditable autonomy your teams can deploy with confidence.
Sovereign autonomy
Rainy Core keeps every agent verifiable, reversible, and compliant across the stack.
MCP-first ecosystems
Model Context Protocol alignment lets partners extend Rainy without losing governance.
Accountable velocity
Deploy autonomous workflows rapidly while preserving human oversight and auditability.
Rainy Aether autonomy
Extending IDE-native autonomy with Rainy Core orchestration so engineering teams can plan, build, and validate safely inside Rainy Aether.
Enosis Safety runtime
Embedding runtime guardrails, scoped credentials, and reversible automation across Rainy OS and Rainy Maker.
Rainy Core & MCP runtime
Optimizing our runtime with open Model Context Protocol connectors and edge-ready inference for data-resident deployments.
From validation to a sovereign ecosystem
Every phase extends Rainy without compromising accountability—moving from core pilots to platform access and finally to distributed, sovereign networks.
Rainy AI validation
Ship Rainy Aether pilots and prove the sovereign stack outperforms legacy tooling.
Platform enablement
Open Enosis Safety services and Rainy APIs so partners can extend governed autonomy.
Sovereign ecosystem
Launch decentralized Rainy runtimes and task-specific edge models across regions.
Autonomous IDE deployments
Deterministic planning, agentic code execution, and sovereign telemetry for engineering teams.
Runtime guardrails at scale
Policy validation, scoped credentials, and reversible automation embedded across Rainy OS and Maker.
Sovereign runtime fabric
Model Context Protocol connectors and edge-ready inference powering governed deployments everywhere.
Phases
A deliberate, multi-year rollout
Focus
From product to platform to ecosystem
Ambition
Accountable autonomy everywhere
Built to uphold sovereign trust
Rainy only works when customers stay in control. These pillars keep autonomy accountable, reversible, and collaborative.
Founder-led conviction
Rainy is built by operators who ship with customers every day—accountability stays personal and continuous.
- Hands-on product leadership
- Long-term alignment
- Direct customer loops
Safety as the core moat
Enosis Safety and Rainy Core turn policy guardrails into runtime guarantees so autonomy never outruns trust.
- Runtime guardrails
- Scoped credentials
- Reversible automation
Open collaboration
Model Context Protocol and transparent roadmaps help partners inspect, extend, and steward Rainy ecosystems.
- MCP-first interfaces
- Public build updates
- Global partner network
Our promise
We steward Rainy alongside the community—keeping autonomy transparent, reversible, and built for people who refuse to hand control to a black box.
Build the next era of sovereign AI with Rainy.
Whether you're testing agents, scaling enterprise guardrails, or investing in policy-aligned autonomy, we collaborate from first prototype to production oversight.
Experience Rainy AI
The best way to understand our vision is to see it in action. Try our faster, safer, and more efficient AI assistant, built on our core technology.
Join Our Mission
We're looking for passionate builders, thinkers, and partners to help us redefine the future of AI. If our vision resonates with you, we want to talk.
Bring your regulation-heavy workflow, and we will co-design the telemetry, guardrails, and rollout to keep auditors satisfied from day one.
Pick the lane that fits your mandate. Every path keeps provenance, policy, and performance front and center.
For Developers
Explore our open-source models and get ready for our upcoming APIs.
For Enterprises
Learn how our technology can bring a new level of efficiency and security to your organization.
For Investors
We are building the future of AI. If you share our ambition, let's connect and discuss the opportunity.
Launch sprints and diligence reviews
Structured pilots help you validate Rainy workflows quickly with reversible guardrails and shared postmortems.
Have a bold idea or mandate that needs verifiable autonomy?
We pair your team with Enosis strategists to translate governance goals into launch-ready Rainy playbooks.