I
Interoperability left the lab.
The open standard for agent-to-enterprise interoperability moved from academic experiment to enterprise requirement.
§Investor dossier · Updated 2026-09
Pre-seed · Early-stage platform
ERP infrastructure with embedded AI, enterprise governance, and architecture designed for multiple jurisdictions.
Pre-revenue platform in homologation, with controlled customer entry. Brazil as first market, by deliberate initial-ICP choice. Pre-seed round open.
FundamentalsVertical System of RecordGovernance as defaultAI embedded by architectureExtensible multi-jurisdiction
Thesis · Why now
Three curves crossing at once.
Interoperability between agents has moved past experiment, the enterprise buyer changed the question on AI, and dense jurisdictions have become a structural barrier. Aether was built inside these curves, not adapted to them later.
II
The enterprise buyer changed the question.
Enterprise buyers stopped asking "do you have AI?" and started asking "does the AI respect my permissions?".
III
Dense jurisdictions became moat.
Jurisdictions with dense regulatory compliance became structural entry barriers — operating well in one buys defensibility that money cannot accelerate.
Aether was designed inside these three curves, not adapted to them later. Brazil is the first market the platform proves in homologation — deliberately, because it concentrates the three vectors at high density. The architecture has been built since the first commit to operate beyond it.
Category
What makes AETHER unique.
Aether is a vertical System of Record with embedded AI and procurement-ready enterprise governance. It is the platform where the client's operation actually lives — with two native agents operating inside it: one that builds the system and another that operates the system with the end user.
The honest comparison is with the next generation of vertical ERPs. The differentiator is durability: the more the client's operation lives inside the platform, the more expensive the exit.
Product on one page
One platform and two agents.
Platform where the operation lives, with two native agents — one that builds the system and another that operates the system with the end user.
Layer · Platform
Platform
Interface generation from metadata, multiple ways to view the same entity, native multi-institution, no-code configurable automations, reports with PDF export, REST APIs.
Agent · Operations AI
Nous
Natural-language chat that queries data, runs reports, and navigates between screens. Operates within the flow, not in a separate tab. Respects the permission system by design.
Agent · Build AI
Forge
Agent that accelerates vertical-module construction by software houses and integrators. The same productivity gain the platform itself used to be built by a solo founder.
Defensibility
The moat is the combination, not any piece in isolation.
Five layers that reinforce each other. Replicating one is serious work; replicating the combination takes years on the calendar.
- 01
Data moat from regulatory compliance.
Brazilian tax obligations in the core, with NF-e already prepared for the Tax Reform and a history that can't be erased. Replicating this in any dense jurisdiction takes calendar time with regulators — acceleration can't be bought. Each new jurisdiction becomes another step of moat.
- 02
Governance as default.
Data isolation in the database itself, segregation of duties with risk-based approvals and a chained audit trail. Every new module inherits governance automatically, with no manual action.
- 03
Two vertical agents.
Nous for operations, Forge for build. Both embedded in the platform with governed access to data and business logic — not external webhook integrations.
- 04
Extensible architecture by default.
Plugins with schema isolation, open interoperability between agents, multi-language and multi-timezone in the core.
- 05
Open interoperability.
The platform runs with different LLM providers without refactoring. Clients with data-sovereignty requirements can run with a local model.
The window for a serious competitor to replicate the combination is measured in years and larger teams — not in a quarter from an existing rival.
Platform state
Coverage by pillar, no embellished claims.
What is ready, what is in validation and the next steps. No column fakes an achievement — every marker can be demonstrated in a technical conversation.
ReadyIn validationNext steps
01Application generation from metadata
Ready
—
In validation
—
Next steps
02Data isolation in the database itself
Ready
In validation
Mandatory enforcement in every environment.
—
Next steps
03Segregation of duties and risk-based approvals
Ready
—
In validation
—
Next steps
04Immutable audit with cryptographic chaining
Ready
—
In validation
—
Next steps
05Brazilian tax obligations
Ready
NF-e, national NFS-e and eSocial.
In validation
NFC-e, CT-e and SPED.
Next steps
Municipal and state integrations.
06Regulatory coverage — other jurisdictions
—
Ready
—
In validation
Next steps
Activation based on demand.
07Embedded operations AI (Nous)
Ready
Queries and confirmed actions.
In validation
Event-driven actions.
—
Next steps
08Build AI (Forge)
Ready
Used by the Aether team.
—
In validation
Next steps
Opening to partners.
09Dedicated environment per customer
—
Ready
In validation
Own instance and database.
Next steps
Multiple regions.
10Formal compliance frameworks (ISO 27001 / SOC 2)
—
Ready
—
In validation
Next steps
After the first operation stabilizes.
Every marker is auditable in technical conversation. Nothing has been painted as an achievement without being one.
Initial traction
The real state, unvarnished.
Pre-revenue. Product built and in homologation, validated against real operating scenarios. Controlled customer entry, starting with an assessment.
The next six-month window is about proof of value: converting the first deployments into recurring contracts, documenting measurable operational gains and filling the initial portfolio of three slots. The metric that matters for this round is not ARR — it is evidence of product-market fit in the chosen ICP.
- Revenue
- Pre-revenue
- Product
- In homologation
- Customer entry
- By invitation · three initial slots
- Next window
- Six months of value proof
Team
Who is building.
Uemerson Santana
Founder · Architect
Founder with experience in distributed systems and enterprise software. The platform was largely built solo, with AI as a productivity multiplier — that very usage proves the Forge thesis.
Key-person risk is acknowledged and addressed: first senior engineer hire planned for the start of the round. Technical governance of the code — test coverage, documented architectural decisions, extensive internal documentation — reduces the cost of onboarding a second core committer.
The platform was written to be investigated in depth. Any claim on this page is auditable in technical conversation.
Round
Terms in the room, not on the page.
Pre-seed round open. SAFE instrument.
Commercial parameters — raise size, valuation cap, discount, conversion conditions — and use of funds are shared directly with qualified investors after initial contact, not on the public page.
Deliberate stance: full transparency in due diligence, public discretion on parameters until the round closes. A serious investor prefers to read these numbers in the room, not on the website.
Acknowledged risks
What we make explicit before being asked.
We work with a known set of risks and are willing to discuss them in detail in due diligence.
- R.01
Founder dependency
Addressed with a senior hire planned at the start of the round. Code and architectural decisions are extensively documented to reduce onboarding cost.
- R.02
Long enterprise sales cycle
Natural to the category. The modular POC format reduces initial friction and converts trust into a recurring contract.
- R.03
Concentration in a single market
Brazil by initial ICP choice — not by architectural limitation. The platform was designed to operate in multiple jurisdictions from day one.
- R.04
Dependency on external LLM providers
Mitigated with open interoperability between providers and support for local models for clients with data-sovereignty requirements — but present.
The stance is to make them explicit, not mask them. Detail and full mitigation in due diligence.
Conversation with the founder
Schedule a conversation
Commercial materials, unit economics, and round parameters are sent by email after initial contact. Response within 48 business hours.